{"id":1788,"date":"2024-01-08T21:39:13","date_gmt":"2024-01-08T21:39:13","guid":{"rendered":"https:\/\/www.purdue.edu\/online\/?page_id=1788"},"modified":"2026-04-08T19:20:11","modified_gmt":"2026-04-08T19:20:11","slug":"artificial-intelligence-micro-credentials","status":"publish","type":"page","link":"https:\/\/www.purdue.edu\/online\/artificial-intelligence-micro-credentials\/","title":{"rendered":"Artificial Intelligence Microcredentials"},"content":{"rendered":"\n    <div  class=\"purdue-home-diagonal-hero has-none-background\">\n        <div class=\"section has-padding-top-large has-padding-bottom-large\">\n            <div class=\"purdue-home-diagonal-hero__content\">\n                                    <p class=\"purdue-home-hero__subheader tagged-header tagged-header--gold purdue-home-diagonal-hero__subheader\">ONLINE PROGRAMS<\/p>\n                \n                                                        <h1 class=\"second-level-page-heading purdue-home-diagonal-hero__header\">Artificial Intelligence Micro Credentials<\/h1>\n                \n                                    <div class=\"purdue-home-diagonal-hero__subtext\">\n\n                        \n<p>Purdue University\u2019s Artificial Intelligence Microcredentials offer quick and convenient online courses that cover the fundamentals of artificial intelligence and its applications. Every course functions as its own mini-credential. Students earn a certificate of completion and digital badge from Credly for every course they complete. Students can pick and choose what course to take and stack credentials in topics that interest them.<br><br>Several of these courses have been recognized by <a data-type=\"link\" data-id=\"https:\/\/www.abet.org\/\" href=\"https:\/\/www.abet.org\/\">ABET<\/a> under its Certificate Recognition Standards. The certified courses include: Machine Learning for Linear Predictive Models, Data Analytics for Decision Makers, Manufacturing Analytics, Natural Language Processing Solutions, Demystifying AI, Understanding Risks, and Shaping the Future, Global Regulation of AI, Data and AI Storytelling, Prompt Engineering, AI Policy and Governance, and Machine Learning in Action.<br><br>Have questions about the AI Microcredentials? Visit our<a href=\"https:\/\/www.purdue.edu\/online\/artificial-intelligence-micro-credentials\/faqs\/\" target=\"_blank\" rel=\"noopener\" title=\" FAQ page\"> FAQ page<\/a> for more information. <br><\/p>\n\n                    <\/div>\n                \n                                    <ul class=\"purdue-home-button-list\">\n                                                                                <li class=\"\"><a class=\"purdue-home-button\" href=\"#courses\" target=\"_self\">View Courses<\/a><\/li>\n                                                                                <li class=\"\"><a class=\"purdue-home-button\" href=\"#request\" target=\"_self\">Request Info<\/a><\/li>\n                                                                                <li class=\"\"><a class=\"purdue-home-button\" href=\"#web\" target=\"_self\">Watch Webinars<\/a><\/li>\n                                            <\/ul>\n                            <\/div>\n        <\/div>\n        <div class=\"image\">\n                            <img decoding=\"async\" alt=\"\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/12\/AdobeStock_568050950-scaled.jpeg\"\/>\n                    <\/div>\n    <\/div>\n\n<div  class=\"purdue-home-cta-strap \">\n    <div class=\"section has-black-background\">\n        <div class=\"container\">\n            <p class=\"purdue-home-cta-strap__content\"><strong>Ready to Become a Purdue Boilermaker?<\/strong><\/p>\n            <div class=\"purdue-home-cta-strap--wrap\">\n                                                            <a class=\"purdue-home-button\" href=\"#\" target=\"_self\" >Request Info<\/a>\n                                                            <a class=\"purdue-home-button\" href=\"https:\/\/www.eventreg.purdue.edu\/ec2k\/Heading.aspx?heading_id=1106\"  target=\"_blank\">Register Now<\/a>\n                  \n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n<div  class=\"purdue-home-custom-container has-gold-background remove-color container\">\n    <div class=\"section has-gold-background has-no-sidepadding\">\n            \n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div  class=\"purdue-home-intro-text has-layout-one-left \">\n        <div class=\"section has-none-background has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container\">\n                                    <h2 class=\"tagged-header tagged-header--gold\">Overview<\/h2>\n                                                \n            <h3 class=\"purdue-home-intro-text__header header-font-acumin\">Join the AI Revolution<\/h3>\n\n<p>According to Forbes, 97 million jobs related to artificial intelligence (AI) will be created between 2022 and 2025. AI is revolutionizing hundreds of industries, and AI skills are some of the most in-demand job skills in today\u2019s tech-driven market. Purdue\u2019s AI Micro-credentials Program offers quick and convenient online courses that cover the fundamentals of artificial intelligence and its applications. With an average completion time of only 15 hours, this program is an ideal upskilling opportunity for professionals who want to advance in their careers quickly.<\/p>\n\n\n\n<p>Learn essential AI skills, including:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understanding the current applications of AI and where the field is heading.&nbsp;<\/li>\n\n\n\n<li>How to apply AI technologies to solve real-world problems and contribute to organizational innovation.<\/li>\n\n\n\n<li>How to amass a robust AI skillset and build marketable expertise in emergent technologies.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n<div  class=\"purdue-home-buttons purdue-home-buttons--left \">\n    <ul class=\"purdue-home-button-list\">\n                    <li class=\"\"><a class=\"purdue-home-button\" href=\"https:\/\/www.eventreg.purdue.edu\/ec2k\/Heading.aspx?heading_id=1106\" target=\"_self\">Register For Courses<\/a><\/li>\n            <\/ul>\n<\/div>\n\n\n                    <\/div>\n    <\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div  class=\"purdue-home-rtb-row \">\n        <div class=\"section has-none-background has-padding-bottom-none\">\n        <div class=\"container\">\n                            <div class=\"columns\">\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">15<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Hours average time to complete<\/span>\n                                                                                    <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$500<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\"> Cost per Course<\/span>\n                                                                                    <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">14<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Unique individualized courses <\/span>\n                                                                                    <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                    <\/div>\n                    <\/div>\n    <\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"purdue-home-tabs-horizontal has-white-background\"><div class=\"section has-padding-top-large has-padding-bottom-large\"><div class=\"container\"><div class=\"columns\"><div class=\"column is-full tab-container\"><div class=\"arrow\"><\/div><div class=\"purdue-home-tabs-horizontal__headers\" role=\"tablist\"><button id=\"header-a99d1a99-03d9-47b7-8619-a2283ef1de30-0\" class=\"purdue-home-tabs-horizontal__header \" role=\"tab\" aria-controls=\"panel-a99d1a99-03d9-47b7-8619-a2283ef1de30-0\"><h3 class=\"purdue-home-tabs-horizontal__header-text\"><strong>Foundational Technical Bundle<\/strong><\/h3><\/button><button id=\"header-a99d1a99-03d9-47b7-8619-a2283ef1de30-1\" class=\"purdue-home-tabs-horizontal__header \" role=\"tab\" aria-controls=\"panel-a99d1a99-03d9-47b7-8619-a2283ef1de30-1\"><h3 class=\"purdue-home-tabs-horizontal__header-text\"><strong>Applied Technical Bundle<\/strong><\/h3><\/button><button id=\"header-a99d1a99-03d9-47b7-8619-a2283ef1de30-2\" class=\"purdue-home-tabs-horizontal__header \" role=\"tab\" aria-controls=\"panel-a99d1a99-03d9-47b7-8619-a2283ef1de30-2\"><h3 class=\"purdue-home-tabs-horizontal__header-text\"><strong>Foundational Non-Technical Bundle<\/strong><\/h3><\/button><button id=\"header-a99d1a99-03d9-47b7-8619-a2283ef1de30-3\" class=\"purdue-home-tabs-horizontal__header  active\" role=\"tab\" aria-controls=\"panel-a99d1a99-03d9-47b7-8619-a2283ef1de30-3\"><h3 class=\"purdue-home-tabs-horizontal__header-text\"><strong>All Courses Bundle<\/strong><\/h3><\/button><\/div><\/div><\/div><\/div><div class=\"container tab-content\"><div class=\"columns\"><div class=\"column is-full\">\n<div class=\"purdue-home-tabs-horizontal__panel\" aria-labelledby=\"header-a99d1a99-03d9-47b7-8619-a2283ef1de30-0\" id=\"panel-a99d1a99-03d9-47b7-8619-a2283ef1de30-0\">\n<p>Lay the groundwork for your journey with Purdue\u2019s core AI technical bundle. Strengthen your understanding of data analytics, essential math concepts and machine learning fundamentals. Through these courses, you\u2019ll gain the analytical and coding literacy to interpret algorithms, work with data and prepare for advanced AI applications.<strong>&nbsp; <\/strong><br><br><strong>Pay just $299 for this bundle with discount code AI99<\/strong><br><strong>This select promotional offer is available for a limited time only and is subject to eligibility and availability. Additional terms may apply.<\/strong><\/p>\n\n\n\n<p>Learn essential skills such as:&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<ul class=\"wp-block-list has-black-color has-text-color has-link-color wp-elements-c71c723d4f1b3ec64c91b06ebbdd1368\">\n<li>Interpret data sets, trends and model outputs using analytical frameworks.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Apply core math and statistics principles to machine learning problems.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Translate algorithmic concepts into practical, real-world understanding.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Courses in bundle include:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list has-black-color has-text-color has-link-color wp-elements-b52a3cca97cf27e61a55f9d2c0fe76a6\">\n<li>Machine Learning for Linear Predictive Models&nbsp;&nbsp;<\/li>\n\n\n\n<li>Essential Math Tools for AI: A Practical Refresher&nbsp;&nbsp;<\/li>\n\n\n\n<li>Machine Learning Fundamentals: Principles and Applications<\/li>\n\n\n\n<li>Data Analytics for Decision Makers &nbsp;<br>&nbsp;<\/li>\n<\/ul>\n\n\n<div  class=\"purdue-home-buttons purdue-home-buttons--left \">\n    <ul class=\"purdue-home-button-list\">\n                    <li class=\"\"><a class=\"purdue-home-button\" href=\"http:\/\/eventreg.purdue.edu\/online\/AIFoundationalTech\" target=\"_self\">Register For Bundle<\/a><\/li>\n            <\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div  class=\"purdue-home-rtb-row fix-col\">\n        <div class=\"section has-none-background has-padding-top-none\">\n        <div class=\"container\">\n                            <div class=\"columns\">\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">4   <\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Courses in Bundle<\/span>\n                                                                                    <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$1500<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Total Cost of Bundle<\/span>\n                                                                                                <span class=\"purdue-home-rtb-horizontal__source\">\n                                                        Buy 3 Get 1 Free                                                    <\/span>\n                                                                                        <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$299<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Promo Price<\/span>\n                                                                                                <span class=\"purdue-home-rtb-horizontal__source\">\n                                                        Limited Time Offer                                                    <\/span>\n                                                                                        <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                    <\/div>\n                    <\/div>\n    <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"purdue-home-tabs-horizontal__panel\" aria-labelledby=\"header-a99d1a99-03d9-47b7-8619-a2283ef1de30-1\" id=\"panel-a99d1a99-03d9-47b7-8619-a2283ef1de30-1\">\n<p>Take your AI skills from concept to execution. This hands-on bundle is designed for professionals who want to implement machine learning models and AI solutions in real-world scenarios. Dive into courses to learn how to design, deploy and evaluate AI-driven tools that solve practical business and industrial challenges.&nbsp;<\/p>\n\n\n\n<p><strong>Pay just $199 for this bundle with discount code AI99<\/strong><br><strong>This select promotional offer is available for a limited time only and is subject to eligibility and availability. Additional terms may apply.<\/strong><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>Learn essential skills such as:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list has-black-color has-text-color has-link-color wp-elements-00e3b3d5ce8dd9c2fc8ac39a4f143ddc\">\n<li>Design and deploy machine learning and natural language processing models.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Evaluate real-world AI use cases and measure performance outcomes.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Integrate AI solutions into workflows for manufacturing, analytics and data-driven operations.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Courses in bundle include:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list has-black-color has-text-color has-link-color wp-elements-92219c7b62d89a1ddc33d5e97c49b927\">\n<li>Manufacturing Analytics&nbsp;&nbsp;<\/li>\n\n\n\n<li>Machine Learning in Action: Tools, Techniques, and Industrial Cases&nbsp;&nbsp;<\/li>\n\n\n\n<li>Natural Language Processing Solutions: An Introduction to Evaluation and Implementation&nbsp;<\/li>\n<\/ul>\n\n\n<div  class=\"purdue-home-buttons purdue-home-buttons--left \">\n    <ul class=\"purdue-home-button-list\">\n                    <li class=\"\"><a class=\"purdue-home-button\" href=\"http:\/\/www.eventreg.purdue.edu\/online\/AIAppliedTech\" target=\"_self\">Register For Bundle<\/a><\/li>\n            <\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div  class=\"purdue-home-rtb-row \">\n        <div class=\"section has-none-background has-padding-top-none\">\n        <div class=\"container\">\n                            <div class=\"columns\">\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">3 <\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Courses in Bundle<\/span>\n                                                                                    <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$1000<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Total cost of Bundle<\/span>\n                                                                                                <span class=\"purdue-home-rtb-horizontal__source\">\n                                                        Buy 2, Get 1 Free                                                    <\/span>\n                                                                                        <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$199<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Promo price<\/span>\n                                                                                                <span class=\"purdue-home-rtb-horizontal__source\">\n                                                        Limited Time Offer                                                    <\/span>\n                                                                                        <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                    <\/div>\n                    <\/div>\n    <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"purdue-home-tabs-horizontal__panel\" aria-labelledby=\"header-a99d1a99-03d9-47b7-8619-a2283ef1de30-2\" id=\"panel-a99d1a99-03d9-47b7-8619-a2283ef1de30-2\">\n<p>AI is changing every industry, and leaders must understand how to guide its impact. This bundle is designed for professionals, educators and policymakers who want to explore AI\u2019s opportunities without needing to code. The courses teach you how to communicate AI concepts, understand regulatory frameworks and make informed decisions about responsible innovation.&nbsp;<br><br><strong>Pay just $499 for this bundle with discount code AI99<\/strong><br><strong>This select promotional offer is available for a limited time only and is subject to eligibility and availability. Additional terms may apply.<\/strong><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>Learn essential skills such as:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list has-black-color has-text-color has-link-color wp-elements-2863c9e756da43c61f5a10c640a19d2c\">\n<li>Communicate AI concepts clearly to technical and nontechnical audiences.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Analyze policy, ethics and governance frameworks shaping AI adoption.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Lead organizational or classroom discussions on responsible and strategic AI use.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Courses in bundle include:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list has-black-color has-text-color has-link-color wp-elements-58a265636c04103e53b4b54f7c8ea7bd\">\n<li>Demystifying AI, Understanding Risks, and Shaping the Future&nbsp;<\/li>\n\n\n\n<li>AI Policy and Governance&nbsp;<\/li>\n\n\n\n<li>Global Regulations of AI&nbsp;<\/li>\n\n\n\n<li>Prompt Engineering&nbsp;<\/li>\n\n\n\n<li>AI Data Storytelling Primer&nbsp;<\/li>\n\n\n\n<li>Interdisciplinary AI Fundamentals<\/li>\n<\/ul>\n\n\n<div  class=\"purdue-home-buttons purdue-home-buttons--left \">\n    <ul class=\"purdue-home-button-list\">\n                    <li class=\"\"><a class=\"purdue-home-button\" href=\"http:\/\/www.eventreg.purdue.edu\/online\/AIFoundationalNonTech\" target=\"_self\">Register For Bundle<\/a><\/li>\n            <\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div  class=\"purdue-home-rtb-row \">\n        <div class=\"section has-none-background has-padding-top-none\">\n        <div class=\"container\">\n                            <div class=\"columns\">\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">6<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">courses in Bundle<\/span>\n                                                                                    <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$2500<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Cost of Bundle<\/span>\n                                                                                                <span class=\"purdue-home-rtb-horizontal__source\">\n                                                        Buy 5, Get 1 Free                                                    <\/span>\n                                                                                        <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal purdue-home-rtb-horizontal--vertical\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$499<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Promo Price<\/span>\n                                                                                                <span class=\"purdue-home-rtb-horizontal__source\">\n                                                        Limited Time Only                                                     <\/span>\n                                                                                        <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                    <\/div>\n                    <\/div>\n    <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"purdue-home-tabs-horizontal__panel active\" aria-labelledby=\"header-a99d1a99-03d9-47b7-8619-a2283ef1de30-3\" id=\"panel-a99d1a99-03d9-47b7-8619-a2283ef1de30-3\">\n<p>AI is revolutionizing hundreds of industries, and AI skills are some of the most in-demand job skills in today\u2019s tech-driven market. Purdue University\u2019s Artificial Intelligence Microcredentials offer quick and convenient online courses that cover the fundamentals of artificial intelligence and its applications. Every course functions as its own mini-credential, and students earn a certificate for every course they complete. Courses are also taught by the well-renowned faculty of Purdue.&nbsp;<\/p>\n\n\n\n<p><strong>Pay just $500 for this bundle with discount code AI99<\/strong><br><strong>This select promotional offer is available for a limited time only and is subject to eligibility and availability. Additional terms may apply.<\/strong><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>Learn essential skills such as:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list has-black-color has-text-color has-link-color wp-elements-cb3c4c75e3045472de682349d50ab198\">\n<li>Understanding the current applications of AI and where the field is heading.&nbsp;<\/li>\n\n\n\n<li>How to apply AI technologies to solve real-world problems and contribute to organizational innovation.&nbsp;<\/li>\n\n\n\n<li>How to amass a robust AI skillset and build marketable expertise in emergent technologies.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Courses in bundle include:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list has-black-color has-text-color has-link-color wp-elements-8b88389ac97a38c36063fd1aaa683b9a\">\n<li>Machine Learning for Linear Predictive Models&nbsp;&nbsp;<\/li>\n\n\n\n<li>Essential Math Tools for AI: A Practical Refresher&nbsp;&nbsp;<\/li>\n\n\n\n<li>Machine Learning Fundamentals: Principles and Application&nbsp;<\/li>\n\n\n\n<li>Data Analytics for Decision Makers&nbsp;&nbsp;<\/li>\n\n\n\n<li>Manufacturing Analytics&nbsp;&nbsp;<\/li>\n\n\n\n<li>Machine Learning in Action: Tools, Techniques, and Industrial Cases&nbsp;&nbsp;<\/li>\n\n\n\n<li>Natural Language Processing Solutions: An Introduction to Evaluation and Implementation&nbsp;&nbsp;<\/li>\n\n\n\n<li>Demystifying AI, Understanding Risks, and Shaping the Future&nbsp;<\/li>\n\n\n\n<li>AI Policy and Governance&nbsp;<\/li>\n\n\n\n<li>Global Regulations of AI&nbsp;<\/li>\n\n\n\n<li>Prompt Engineering&nbsp;<\/li>\n\n\n\n<li>AI Data Storytelling Primer&nbsp;<\/li>\n\n\n\n<li>Interdisciplinary AI Fundamentals&nbsp;<\/li>\n<\/ul>\n\n\n<div  class=\"purdue-home-buttons purdue-home-buttons--left \">\n    <ul class=\"purdue-home-button-list\">\n                    <li class=\"\"><a class=\"purdue-home-button\" href=\"http:\/\/www.eventreg.purdue.edu\/online\/AIMicroAll\" target=\"_self\">Register For Bundle<\/a><\/li>\n            <\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div  class=\"purdue-home-rtb-row \">\n        <div class=\"section has-none-background has-padding-top-none\">\n        <div class=\"container\">\n                            <div class=\"columns\">\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">13<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Courses in Bundle<\/span>\n                                                                                    <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$5000<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Total cost of bundle<\/span>\n                                                                                    <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                            <div class=\"column is-full-widescreen is-full-desktop is-full-tablet is-full-mobile\">\n                            <div class=\"purdue-home-rtb-horizontal\">\n                                <div class=\"columns\">\n                                                                            <div class=\"column is-highlight\">\n                                            <span class=\"purdue-home-rtb-horizontal__highlight\">$500<\/span>\n                                        <\/div>\n                                                                            <div class=\"column\">\n                                            <span class=\"purdue-home-rtb-horizontal__content\">Promo PRice<\/span>\n                                                                                                <span class=\"purdue-home-rtb-horizontal__source\">\n                                                        Limited Time Offer                                                     <\/span>\n                                                                                        <\/div>\n                                                                    <\/div>\n                            <\/div>\n                        <\/div>\n                                    <\/div>\n                    <\/div>\n    <\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n\n    <\/div>\n<\/div>\n\n\n\n<div  class=\"purdue-home-custom-container has-black-background container full-width-bleed\">\n    <div class=\"section has-black-background has-no-sidepadding\">\n            \n\n<div  id=\"courses\" class=\"purdue-home-intro-text has-layout-two \">\n        <div class=\"section has-none-background has-padding-top-small has-padding-bottom-small has-no-sidepadding\">\n        <div class=\"container\">\n                                    <div class=\"tagged-header-container\">\n                        <h2 class=\"' tagged-header tagged-header--gold\"> Explore Our 100% Online Courses<\/h2><\/div>\n                                                \n                            <div class=\"columns has-two-columns\">\n                    <div class=\"column\">\n                        <h3 class=\"purdue-home-intro-text__header header-font-acumin\">Customize your studies to fit your career goals<\/h3>                    <\/div>\n                    <div class=\"column\">\n                        \n\n<p>Every course in the AI Micro-credentials program functions as its own mini-credential, and students earn a certificate for every course they complete. Students can pick and choose what courses to take and stack credentials in topics that interest them. The flexibility of this program makes it an ideal upskilling opportunity for tech professionals.<\/p>\n\n                    <\/div>\n                <\/div>\n            \n                    <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading has-dust-gold-color has-text-color has-link-color wp-elements-0916b9c483b264c5ff99febb0546a0ef\" style=\"font-size:42px\">Foundational &#8211; Technical Courses<\/h2>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-4b7ef3d8-5c14-4fbe-af92-2f570e4c0c41\">\n                    <button aria-controls=\"content-4b7ef3d8-5c14-4fbe-af92-2f570e4c0c41\" aria-expanded=\"false\">Machine Learning for Linear Predictive Models<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-4b7ef3d8-5c14-4fbe-af92-2f570e4c0c41\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;This course provides a foundation for understanding machine learning and its applications by taking a learn-by-doing approach. Students will learn about machine learning by training a regression model to perform data analysis.&nbsp;<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Review of linear algebra: To review basic concepts in linear algebra including norm, inner product, linear combination, basis functions, matrix-vector multiplication, eigen decomposition<br>&#8211; Principles of regression: To understand the basic principles of regression, including loss function, linear models, parameter update<br>&#8211; Solving a regression problem: To derive the linear least squares solutions and understand the properties under-determined and over-determined linear systems<br>&#8211; Regularization techniques: To apply ridge regression techniques and LASSO regression techniques<br>&#8211; Optimization: To review constrained and unconstrained minimization, Lagrange multiplier, convexity, gradient descent, and stochastic gradient descent<\/p>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong>&nbsp;<\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Why do we need linear algebra in machine learning?<br>Inner products and norms&nbsp;<br>Matrix Calculus&nbsp;Eigenvalues and eigenvectors&nbsp;<br>Principal Component Analysis&nbsp;Eigenface Problem&nbsp;<\/td><\/tr><tr><td>Module 2&nbsp;<\/td><td>What is regression?&nbsp;<br>How does regression work?&nbsp;<br>Solving Linear Regression&nbsp;and Matrix-vector form of linear regression&nbsp;<\/td><\/tr><tr><td>Module 3<\/td><td>Overdetermined and undetermined lease squares&nbsp;<br>Robust Linear Regression&nbsp;<br>Solving the Robust Regression Problem&nbsp;<\/td><\/tr><tr><td>Module 4<\/td><td>Ridge Regression&nbsp;and Implementation&nbsp;<br>LASSO Regularization&nbsp;<br>LASSO for Overfitting&nbsp;<\/td><\/tr><tr><td>Module 5<\/td><td>Convexity&nbsp;Lagrange and Multiplier&nbsp;Solving <br>Simple Constrained Optimization<br>Gradient Descent&nbsp;Convergence and Momentum Acceleration<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><strong>Faculty:<\/strong>&nbsp;<a href=\"https:\/\/engineering.purdue.edu\/ChanGroup\/stanleychan.html\">Stanley Chan<\/a><\/p>\n\n\n\n<p><strong><em><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroMLLPM\" target=\"_blank\" rel=\"noreferrer noopener\">Register Now!<\/a><\/em><\/strong><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-02afe5e6-c794-4590-9f7c-fb01bc9c30f3\">\n                    <button aria-controls=\"content-02afe5e6-c794-4590-9f7c-fb01bc9c30f3\" aria-expanded=\"false\">Essential Math Tools for AI: A Practical Refresher<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-02afe5e6-c794-4590-9f7c-fb01bc9c30f3\">\n                    \n\n<p><strong>Course Description:<\/strong>&nbsp;Students will work through real-world problems and examples to understand the mathematical background for AI. By breaking concepts down and putting them in context, this course makes the math behind AI accessible for a wider audience.&nbsp;<br><br><strong>Prerequisites<\/strong>: <br>Basic probability<br>Linear algebra <br><em>Ordinary differential equations (knowledge of ordinary differential equations will be valuable but is not required in order to be successful)<\/em><br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Analyze equations involving matrices by applying algebraic concepts such as rank, nullspace, linear independence, and eigenvalues&nbsp;<br>&#8211; Define properties of linear systems, including controllability, observability, and stability, and apply them to design state estimators and feedback controllers&nbsp;<br>&#8211; Define probability distributions and moments of random variables, and characterize the long-term behavior of stochastic processes&nbsp;<br>&#8211; Specify the fundamental optimality conditions for optimization problems, and implement basic algorithms to find the optimizers&nbsp;<br><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Vectors and Matrices <br>System of Equations and Eigenvalues <br>Diagonalization and Definite Matrices <br>Norms <\/td><\/tr><tr><td>Module 2<\/td><td>Basics and Graph Properties <br>Search Algorithms and Trees <br>Shortest Paths <\/td><\/tr><tr><td>Module 3 <\/td><td>Basics and Stability <br>Controllability and Observability <br>Lyapunov Theory <\/td><\/tr><tr><td>Module 4<\/td><td>Basics and Conditional Probability <br>Random Variables and Expectation <br>Markov Chains <\/td><\/tr><tr><td>Module 5 <\/td><td>Extrema and Optimality <br>Infimum and Supremum <br>Convexity and Algorithms <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:<\/strong>&nbsp;<a href=\"https:\/\/sites.google.com\/view\/philpare\" target=\"_blank\" rel=\"noreferrer noopener\">Philip E. Par\u00e9<\/a>&nbsp;and&nbsp;<a href=\"https:\/\/engineering.purdue.edu\/~sundara2\/\" target=\"_blank\" rel=\"noreferrer noopener\">Shreyas Sundaram&nbsp;<\/a>&nbsp;<\/p>\n\n\n\n<p><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroEMTAPR\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Register Now!<\/em><\/strong><\/a><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-ed8eaa78-7185-4d9a-ab78-48379913f8bf\">\n                    <button aria-controls=\"content-ed8eaa78-7185-4d9a-ab78-48379913f8bf\" aria-expanded=\"false\">Machine Learning Fundamentals: Principles and Application<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-ed8eaa78-7185-4d9a-ab78-48379913f8bf\">\n                    \n\n<p><strong>Course Description:<\/strong>&nbsp;This course&nbsp;provides&nbsp;in-depth conceptual explanation of supervised and unsupervised machine learning algorithms and how to implement them to address real-world problems.&nbsp;&nbsp;<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Assess and understand the core principles, applications, and limitations of machine learning, distinguishing its role from traditional programming<br>&#8211; Analyze a variety of supervised and unsupervised machine learning algorithms using prominent frameworks<br>&#8211; Integrate machine learning knowledge to address real-world challenges by choosing appropriate algorithms and techniques<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Intro to Machine Learning <br>Understand and Build Machine Learning Models <\/td><\/tr><tr><td>Module 2<\/td><td>Supervised Machine Learning Algorithms <br>Logistic and Linear Regression <\/td><\/tr><tr><td>Module 3<\/td><td>Understand Machine Learning Algorithms <br>Applications of Clustering <\/td><\/tr><tr><td>Module 4<\/td><td>Capstone Project<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:&nbsp;<\/strong>Jin Kocsis<\/p>\n\n\n\n<p><em><strong><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroMLF\" target=\"_blank\" rel=\"noreferrer noopener\">Register Now!<\/a><\/strong><\/em><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-69c9b5d1-c5aa-4c7f-9fc7-55f7f2431ce7\">\n                    <button aria-controls=\"content-69c9b5d1-c5aa-4c7f-9fc7-55f7f2431ce7\" aria-expanded=\"false\">Data Analytics for Decision Makers<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-69c9b5d1-c5aa-4c7f-9fc7-55f7f2431ce7\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;In this course, students will be able to explore data mining hands-on by using data mining tools&nbsp;for pattern recognition, visualization, artificial intelligence and more.&nbsp;&nbsp;<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Examine foundational concepts in data mining<br>&#8211; Differentiate between descriptive and predictive elements of data mining<br>&#8211; Contrast the strengths and weaknesses of supervised and unsupervised methods<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Foundations of Data Mining <br>Data Concepts <br>Data Quality <\/td><\/tr><tr><td>Module 2<\/td><td>Components of Data Mining <br>Pattern Recognition <br>Visualization and Large-Scale Data <\/td><\/tr><tr><td>Module 3<\/td><td>Methods for Data Mining <br>Supervised Machine Learning <br>Deep Learning <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty<\/strong>:&nbsp;<a href=\"https:\/\/polytechnic.purdue.edu\/profile\/jaspring\" rel=\"noreferrer noopener\" target=\"_blank\">John Springer&nbsp;<\/a>&nbsp;<\/p>\n\n\n\n<p><em><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroDADM\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Register Now!<\/strong><\/a><\/em><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading has-dust-gold-color has-text-color has-link-color wp-elements-418ce308d8edf23bd7f0c6720f3d36c2\" style=\"font-size:42px\">Applied &#8211; Technical Courses<\/h2>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-3dd1cc28-44ff-455a-b4a4-ccf204748e03\">\n                    <button aria-controls=\"content-3dd1cc28-44ff-455a-b4a4-ccf204748e03\" aria-expanded=\"false\">Manufacturing Analytics<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-3dd1cc28-44ff-455a-b4a4-ccf204748e03\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;Machine Learning can be deployed in manufacturing to significantly increase production efficiency and capacity. In this course, step-by-step tutorials on how to apply machine learning to analyze manufacturing data are presented. Students will learn how to create artificial intelligence solutions for manufacturing analytics.<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome<\/strong>:<br>&#8211; Explain the benefits of machine learning in manufacturing<br>&#8211; Describe the common operations in developing machine learning applications<br>&#8211; Apply machine learning for manufacturing analytics<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Smart Manufacturing <br>Artificial Intelligence <br>Applications, Benefits, and Challenges <\/td><\/tr><tr><td>Module 2<\/td><td>Vehicle MPG Prediction<br>Load and Process Manufacturing Data <br>Work on Linear Regression Models <\/td><\/tr><tr><td>Module 3<\/td><td>Used Car Price Prediction <br>Compare Various Regression Models <br>Perform Feature Selection on Manufacturing Data <\/td><\/tr><tr><td>Module 4<\/td><td>Quality Inspection of Casting Products <br>Build, Train, and evaluate a CNN Model <br>Augment Dataset <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty Name:<\/strong>&nbsp;<a href=\"https:\/\/polytechnic.purdue.edu\/profile\/diaox\" target=\"_blank\" rel=\"noreferrer noopener\">Xiumin Diao&nbsp;<\/a>&nbsp;<br><br><em><strong><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroMA\" target=\"_blank\" rel=\"noreferrer noopener\">Register Now!<\/a><\/strong><\/em><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-173a7607-c156-4fab-8743-1c6fe816c7bf\">\n                    <button aria-controls=\"content-173a7607-c156-4fab-8743-1c6fe816c7bf\" aria-expanded=\"false\">Machine Learning in Action: Tools, Techniques, and Industrial Cases<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-173a7607-c156-4fab-8743-1c6fe816c7bf\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;This course will introduce the fundamental knowledge of machine learning techniques via a series of hands-on real-world examples in Python. The overall aim is to provide the students with a good understanding of machine-learning technologies, building machine learning with Python, and applying machine-learning technologies to address real-world problems.<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Explain the relationship (main mechanisms, internal logic, computing components, and the usage constraints) of 8 machine learning models (Linear Regression, Logistic Regression, Fully Connected Neural Network (FCNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Autoencoder, General Adversarial Network (GAN), and Reinforcement Learning (RL))<br>&#8211; Program the basic realization of the machine learning models, stated in Learning Objective 1, in Python<br>&#8211; Apply the eight machine learning models stated in Learning Objective 1 to solve real-world problems<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>What is Machine Learning <br>What is the Insight of Machine Learning <\/td><\/tr><tr><td>Module 2&nbsp;<\/td><td>Linear Regression Application&nbsp;<br>Linear Regression Implementation <\/td><\/tr><tr><td>Module 3<\/td><td>Logistic Regression Formulation and Implementation<br>Solving the Robust Regression Problem&nbsp;<\/td><\/tr><tr><td>Module 4<\/td><td>Introduction of Neural Networks Application<br>Fully Connected Neural Network Implementation <\/td><\/tr><tr><td>Module 5<\/td><td>Convolutional Neural Network Application <br>Convolutional Neural Network Implementation<\/td><\/tr><tr><td>Module 6<\/td><td>Recurrent Neural Network Application<br>Recurrent Neural Network Implementation<\/td><\/tr><tr><td>Module 7 <\/td><td>Auto-Encoder Application and Implementation<br>Generative Adversarial Network Application and Implementation<br>Deep Reinforcement Learning Models Application and Implementation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:&nbsp;<\/strong><a href=\"https:\/\/polytechnic.purdue.edu\/profile\/kocsis0\">Jin Kocsis&nbsp;<\/a>&nbsp;&nbsp;<\/p>\n\n\n\n<p><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroMLATTIC\" target=\"_blank\" rel=\"noreferrer noopener\"><em><strong>Register Now!<\/strong><\/em><\/a><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-96e0b5c1-a125-4718-abd8-77b3b5d17f2e\">\n                    <button aria-controls=\"content-96e0b5c1-a125-4718-abd8-77b3b5d17f2e\" aria-expanded=\"false\">Natural Language\u00a0Processing Solutions: An Introduction to Evaluation and Implementation<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-96e0b5c1-a125-4718-abd8-77b3b5d17f2e\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;This course focuses on the real-world uses of natural language processing systems, including the current capabilities of natural language processing systems and how NLP can be refined and improved.&nbsp;&nbsp;<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Describe the capabilities of existing NLP systems&nbsp;<br>&#8211; Analyze the gap that exists between a stated scenario and the existing capabilities of NLP systems&nbsp;<br>&#8211; Test solutions by measuring improvements introduced by NLP systems<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>History of Natural Language Processing<br>Words vs Concepts and Explicit vs Implicit<br>General Domain and Specific Domain <\/td><\/tr><tr><td>Module 2<\/td><td>Shallow NNs <br>Contextual Embeddings <br>LM Capabilities <\/td><\/tr><tr><td>Module 3<\/td><td>Testing in General <br>Factual Correctness and Reasoning <br>Intro into Prompt Learning and Engineering <\/td><\/tr><tr><td>Module 4<\/td><td>Capstone Reflection Project <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:&nbsp;<\/strong><a href=\"https:\/\/polytechnic.purdue.edu\/profile\/taylo108\">Julia Rayz&nbsp;<\/a>&nbsp;&nbsp;<\/p>\n\n\n\n<p><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroNLPSIEI\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Register Now!<\/em><\/strong><\/a><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading has-dust-gold-color has-text-color has-link-color wp-elements-39b44d652492776ab839a8659bdd5d62\" style=\"font-size:42px\">Foundational &#8211; Non-Technical Courses<\/h2>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-899aa6ab-f2e6-4736-a395-277614a0fde4\">\n                    <button aria-controls=\"content-899aa6ab-f2e6-4736-a395-277614a0fde4\" aria-expanded=\"false\">Demystifying AI, Understanding Risks, and Shaping the Future<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-899aa6ab-f2e6-4736-a395-277614a0fde4\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;This course provides students with the real-world knowledge they need to navigate the risks of AI and how it\u2019s changing the technology landscape. Students will break AI down into engaging, accessible concepts and explore the ethics of AI through real-world examples.&nbsp;<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Explain the history of AI research and why deep learning became the dominant approach<br>&#8211; Explain, in a non-technical way, how deep learning works<br>&#8211; Outline various risks of AI, including both speculative dangers and more tangible and immediate risks to the economy, the labor market, and civil society<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>History of Artificial Intelligence <\/td><\/tr><tr><td>Module 2<\/td><td>A Crash Course on Deep Learning <\/td><\/tr><tr><td>Module 3<\/td><td>The Singularity and Other Speculative Fears <\/td><\/tr><tr><td>Module 4<\/td><td>The Immediate Risks of Artificial Intelligence <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:&nbsp;<\/strong><a href=\"https:\/\/www.cla.purdue.edu\/directory\/profiles\/david-peterson.html\">David Peterson<\/a>&nbsp;<\/p>\n\n\n\n<p><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroDAUSSF\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Register Now!<\/em><\/strong><\/a><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-5f570283-e561-4a85-996a-3ba5dbb2373f\">\n                    <button aria-controls=\"content-5f570283-e561-4a85-996a-3ba5dbb2373f\" aria-expanded=\"false\">AI Policy and Governance<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-5f570283-e561-4a85-996a-3ba5dbb2373f\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;This course explores the ethical and regulatory framework that underpin AI. Students will analyze real-world policy and governance strategies that seek to manage AI\u2019s impacts and engage in debates that will shape the future of the field.&nbsp;<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Identify core concepts in the emerging AI policy domain including key actors, institutions, and governance strategies that have been proposed by or adopted in governments, firms, and civil society organizations<br>&#8211; Analyze and evaluate the social and ethical dimensions of AI, focusing on issue spotting and understanding the policy implications of these issues<br>&#8211; Examine current regulatory trends and policy frameworks for AI governance, including prominent debates and challenges<br>&#8211; Synthesize emerging best practices, issues, and debates in AI policy and governance, while developing strategies for continual monitoring and staying informed<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Introduction to AI<\/td><\/tr><tr><td>Module 2<\/td><td>Key Concepts in International Governance<\/td><\/tr><tr><td>Module 3<\/td><td>Corporate Governance and Self-Regulation<\/td><\/tr><tr><td>Module 4<\/td><td>Ethics and Impact Assessment <\/td><\/tr><tr><td>Module 5<\/td><td>Getting Engaged and Building Expertise<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:<\/strong>&nbsp;<a href=\"https:\/\/www.cla.purdue.edu\/directory\/profiles\/daniel-schiff.html\" data-type=\"link\" data-id=\"https:\/\/www.cla.purdue.edu\/directory\/profiles\/daniel-schiff.html\">Daniel Schiff<\/a><\/p>\n\n\n\n<p><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroAPG\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Register Now!<\/em><\/a><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-259963cd-14e8-46f2-a534-4a2b733e2e8e\">\n                    <button aria-controls=\"content-259963cd-14e8-46f2-a534-4a2b733e2e8e\" aria-expanded=\"false\">Global Regulations of AI<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-259963cd-14e8-46f2-a534-4a2b733e2e8e\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;This course covers the growing global demands for AI regulations and puts them in context so students can understand what risks these regulations seek to address and how companies and governments can anticipate and comply with them.&nbsp;&nbsp;<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Analyze the demand for global regulation of AI<br>&#8211; Identify key issues for AI regulation to address in a global context<br>&#8211; Explain leading hard and soft models for global AI regulation<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Demand for Global AI Regulation <\/td><\/tr><tr><td>Module 2<\/td><td>Core Issues for Global Regulation for AI<\/td><\/tr><tr><td>Module 3<\/td><td>Hard Regulation: The European Model <\/td><\/tr><tr><td>Module 4<\/td><td>Soft Regulation: Industry Standards<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:&nbsp;<\/strong><a href=\"https:\/\/www.cla.purdue.edu\/directory\/profiles\/swati-srivastava.html\">Dr. Swati Srivastava<\/a>&nbsp;<\/p>\n\n\n\n<p><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroGRA\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Register Now!<\/em><\/strong><\/a><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion has-no-bottomborder\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-0306c8f4-3bad-4e76-b90b-facfc7353ca8\">\n                    <button aria-controls=\"content-0306c8f4-3bad-4e76-b90b-facfc7353ca8\" aria-expanded=\"false\">Prompt Engineering <\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-0306c8f4-3bad-4e76-b90b-facfc7353ca8\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;Explore the emerging field of prompt engineering with AI tools like large language models (LLMs) (ChatGPT, Claude, Gemini, etc.) and image models (Midjourney, DALL-E, etc.) and learn to harness the power of Generative AI to improve daily life, work, and learning experiences. This asynchronous, online course offers a practical introduction to AI and LLMs through interactive content, short videos, practical exercises, and self-assessments. This course will help non-technical learners to understand AI, use AI tools effectively, and craft prompts that enhance AI&#8217;s utility in various applications. By engaging with this course, learners will gain skills to &#8220;talk&#8221; to AI tools, effectively becoming programmers of their digital interactions.<br><br><strong>Prerequisites<\/strong>: None<\/p>\n\n\n\n<p><strong>Learning Outcomes<\/strong><\/p>\n\n\n\n<p>-Apply in-demand prompt engineering skills for Generative AI tools.<br>-Create and design prompts using the cutting-edge AI tools like LLMs and Stable Diffusion models.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color has-fixed-layout\"><tbody><tr><td><strong>Modul<\/strong>e<\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Introduction to AI and Language Models <\/td><\/tr><tr><td>Module 2<\/td><td>Interacting with Language Models <\/td><\/tr><tr><td>Module 3<\/td><td>Crafting Effective Prompts <\/td><\/tr><tr><td>Module 4<\/td><td>Practical Applications of Prompt Engineering <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:&nbsp;<\/strong><a href=\"https:\/\/www.cla.purdue.edu\/directory\/profiles\/elsayed-issa.html\">Elsayed Issa<\/a><\/p>\n\n\n\n<p><em><strong><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroAPE\" target=\"_blank\" rel=\"noreferrer noopener\">Register Now!<\/a><\/strong><\/em><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-15b5e069-aaec-4f67-987a-32988193295b\">\n                    <button aria-controls=\"content-15b5e069-aaec-4f67-987a-32988193295b\" aria-expanded=\"false\">AI Data Storytelling Primer<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-15b5e069-aaec-4f67-987a-32988193295b\">\n                    \n\n<figure class=\"wp-block-image size-medium is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"129\" src=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg\" alt=\"\" class=\"wp-image-8515\" style=\"width:100px\" srcset=\"https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-300x129.jpg 300w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1024x440.jpg 1024w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-768x330.jpg 768w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG-1536x660.jpg 1536w, https:\/\/www.purdue.edu\/online\/wp-content\/uploads\/2023\/11\/Final-RecognizedCredential_Color_Gray-ROC-Logo-JPG.jpg 1800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Course Description:<\/strong>&nbsp;In this course, students will learn how to create engaging data stories by contradicting common perception. They will use data analysis and AI prompts using Chat GPT to produce effective data stories and justify why AI makes these data stories more effective.&nbsp;<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Identify how data stories should surprise, provide a new, more convincing explanation for time-worn ideas<br>&#8211; Identify ways to tell memorable, teachable arguments in the form of stories<br>&#8211; Examine how AI tools may be used to satisfy these conditions of storytelling<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Introduction<\/td><\/tr><tr><td>Module 2&nbsp;<\/td><td>What is Research?<\/td><\/tr><tr><td>Module 3<\/td><td>Where Do Stories Come From?<\/td><\/tr><tr><td>Module 4<\/td><td>Pictures Are Not Stories <\/td><\/tr><tr><td>Module 5<\/td><td>AI &amp; Storytelling <\/td><\/tr><tr><td>Module 6<\/td><td>Conclusion<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:&nbsp;<\/strong><a href=\"https:\/\/www.cla.purdue.edu\/directory\/profiles\/sorin-adam-matei.html\">Sorin Matei&nbsp;<\/a>&nbsp;&nbsp;<\/p>\n\n\n\n<p><a href=\"http:\/\/eventreg.purdue.edu\/online\/AIMicroADSP\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Register Now!<\/em><\/strong><\/a><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-43c7d437-ed94-419d-a5b6-c700b92b1f44\">\n                    <button aria-controls=\"content-43c7d437-ed94-419d-a5b6-c700b92b1f44\" aria-expanded=\"false\">Interdisciplinary AI Fundamentals<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-43c7d437-ed94-419d-a5b6-c700b92b1f44\">\n                    \n\n<p><strong>Course Description:<\/strong>&nbsp;&nbsp;This transdisciplinary course demystifies artificial intelligence by exploring its technological evolution, system design principles, and practical applications\u2014making complex AI concepts accessible to learners from any background. You&#8217;ll develop essential skills for understanding, conceptualizing, and communicating about AI systems, gaining critical knowledge that applies across industries and disciplines.<br><br><strong>Prerequisites<\/strong>: None<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Describe the foundations of artificial reasoning, knowledge, and trace the historical development of AI<br>\u2013 Explain the basic concepts, terminologies, and applications of different AI algorithms, developing a problem-solving mindset applicable to various domains<br>\u2013 Examine the diverse range of AI applications across varied industries<br>&#8211; Explain the role human factors and social context play in the development of artificial intelligence<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Historical Development and Current Trends in AI<\/td><\/tr><tr><td>Module 2&nbsp;<\/td><td>Role of Translators and Builders in AI \u2013 Knowledge, Reasoning &amp; the Connection to Artificial Intelligence<\/td><\/tr><tr><td>Module 3<\/td><td>AI Alignment and Domain Applications<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:<\/strong> Bill Watson, Xingyu Li, and Cherie Maestes<\/p>\n\n\n\n<p><a href=\"http:\/\/www.eventreg.purdue.edu\/online\/AIMicroIAF\" data-type=\"link\" data-id=\"http:\/\/www.eventreg.purdue.edu\/online\/AIMicroIAF\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Register Now!<\/em><\/strong><\/a><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading has-dust-gold-color has-text-color has-link-color wp-elements-08e6af80722eb7c57dbd05ece888c8c9\" style=\"font-size:42px\">New Course<\/h2>\n\n\n\n<div class=\"purdue-accordion-wrap  purdue-accordion-wrap--large\">\n    <div class=\"section has-black-background has-padding-top-none has-padding-bottom-none has-no-sidepadding\">\n        <div class=\"container is-narrow\">\n            <div class=\"purdue-accordion\">\n                <h4 class=\"accordion__heading purdue-accordion__title \" id=\"title-b8f6ace9-9441-470d-af08-524b07877a4b\">\n                    <button aria-controls=\"content-b8f6ace9-9441-470d-af08-524b07877a4b\" aria-expanded=\"false\">AI Foundation Models Basics<\/button>\n                <\/h4>\n                <div class=\"accordion__content purdue-accordion__content\" id=\"content-b8f6ace9-9441-470d-af08-524b07877a4b\">\n                    \n\n<p><strong>Course Description:<\/strong>&nbsp;&nbsp;This course explores AI foundation models, including transformers, vision models, and generative architectures. Students will learn about their applications, training processes, and techniques for fine-tuning and deployment, such as prompt engineering and retrieval augmented generation (RAG). The course also covers the limitations of existing models and performance evaluation methods. Students will develop practical skills to analyze.<br><br><strong>Prerequisites<\/strong>: Basic working knowledge of machine learning and Python, along with familiarity with framework such as TensorFlow and PyTorch.<br><br><strong>Learning Outcome:<\/strong>&nbsp;<br>&#8211; Explain the basics, applications, and limitations of foundation models<br>\u2013  Describe key architectures, including transformers, vision models, and generative models,<br>and implement a simple attention-based transformer<br>\u2013 Apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning to adapt<br>models for specific tasks<br>&#8211; Deploy foundation models using APIs and open-source frameworks like HuggingFace<br>Transformers<br>&#8211; Evaluate model performance, identify biases, and explore bias mitigation strategies<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-black-color has-black-background-color has-text-color has-background has-link-color\"><tbody><tr><td><strong>Module<\/strong><\/td><td><strong>Topic &amp; Readings&nbsp;<\/strong><\/td><\/tr><tr><td>Module 1&nbsp;<\/td><td>Introduction to Foundational Models <\/td><\/tr><tr><td>Module 2&nbsp;<\/td><td>Foundation Model Landscape <\/td><\/tr><tr><td>Module 3<\/td><td>Adapting Foundation Models for Specific Tasks<\/td><\/tr><tr><td>Module 4<\/td><td>Foundation Model Deployment<\/td><\/tr><tr><td>Module 5<\/td><td>Evaluation and Bias of Foundation Models<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Faculty:<\/strong> Xiaoqian Wang<\/p>\n\n\n\n<p><strong><em><a href=\"https:\/\/www.eventreg.purdue.edu\/ec2k\/CourseListing.aspx?master_id=6596&amp;master_version=1&amp;course_area=1285&amp;course_number=138&amp;course_subtitle=00\" target=\"_blank\" rel=\"noopener\" title=\"Register Now!\">Register Now!<\/a><\/em><\/strong><\/p>\n\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n    <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"rfi-page-ai.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-1788","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"Ryan M Olson","author_link":"https:\/\/www.purdue.edu\/online\/author\/rolson\/"},"rttpg_comment":0,"rttpg_category":null,"rttpg_excerpt":null,"_links":{"self":[{"href":"https:\/\/www.purdue.edu\/online\/wp-json\/wp\/v2\/pages\/1788","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.purdue.edu\/online\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.purdue.edu\/online\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.purdue.edu\/online\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.purdue.edu\/online\/wp-json\/wp\/v2\/comments?post=1788"}],"version-history":[{"count":177,"href":"https:\/\/www.purdue.edu\/online\/wp-json\/wp\/v2\/pages\/1788\/revisions"}],"predecessor-version":[{"id":10423,"href":"https:\/\/www.purdue.edu\/online\/wp-json\/wp\/v2\/pages\/1788\/revisions\/10423"}],"wp:attachment":[{"href":"https:\/\/www.purdue.edu\/online\/wp-json\/wp\/v2\/media?parent=1788"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}