Online Data & AI Courses
Online Data & AI Courses
Take Your Next Giant Leap
Purdue University’s online data and AI courses bridge the gap between academic research and industry practice, giving professionals in technology fields dynamic skills in data and artificial intelligence that they can use to move their industries forward. These boundary-pushing programs offer the same academic rigor and career-enhancing connections as our on-campus programs, and they are taught by the same expert Purdue faculty.
Artificial Intelligence Microcredentials
This program offers quick and convenient online courses that cover the fundamentals of AI and its applications. Dive into course topics such as machine learning, prompt engineering, natural language processing and more.
Certificate in Data and AI Storytelling
This program gives students hands-on experience crafting high-impact, persuasive data visualization.
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Artificial Intelligence Microcredentials
Purdue University’s innovative online AI Microcredentials provide cutting-edge training in AI at a streamlined pace. In this program, students complete quick and convenient online courses that cover the fundamentals of AI and its applications. With an average completion time of only 15 hours per course, these courses provide an ideal upskilling opportunity for professionals who want to advance in their careers or learn new skills quickly.
Foundational Technical Courses
The Foundational Technical courses provide a rigorous introduction to the mathematical and computational principles underpinning artificial intelligence. Designed for professionals seeking to build a solid technical foundation, these courses cover essential topics such as linear algebra, machine learning algorithms, data mining and statistical modeling.
Courses include:
– Machine Learning for Linear Predictive Models
– Essential Math Tools for AI: A Practical Refresher
– Machine Learning Fundamentals: Principles and Applications
– Data Analytics for Decision Makers
Applied Technical Courses
The Applied Technical courses focus on the practical application of AI technologies in various industries. These courses delve into specialized areas such as natural language processing, machine learning in action and human-AI interaction. Professionals learn to design and implement AI solutions that address complex challenges in fields like healthcare, finance and manufacturing.
Courses include:
– Manufacturing Analytics
– Machine Learning in Action: Tools, Techniques and Industrial Cases
– Natural Language Processing Solutions: An Introduction to Evaluation and Implementation
Foundational Non-Technical Courses
The Foundational Non-Technical courses are designed for professionals seeking to understand the broader implications of AI without delving into complex technical details. These courses explore the ethical, societal and policy aspects of artificial intelligence, providing learners with a comprehensive overview of how AI impacts various sectors.
Courses include:
– Demystifying AI, Understanding Risks and Shaping the Future
– AI Policy and Governance
– Global Regulations of AI
– Prompt Engineering
– AI Data Storytelling Primer
– AI in Healthcare
- IT employees
- Business or other corporate professionals looking to upskill in AI-related technology
- Those with no prior programming or AI-related experience who want to develop foundational skills
- Developing machine learning models for prediction and classification
- Extracting patterns and insights from large datasets through data mining
- Crafting effective prompts to optimize AI model responses
- Analyzing and interpreting human language using natural language processing
- Understanding core principles and techniques of artificial intelligence
- Machine Learning Engineer
- Data Analyst
- Business Analyst
- IT Director
- Software Engineer
- Product Manager
Certificate in Data and Artificial Intelligence (AI) Storytelling
In this program, students not only learn the foundational principles of data-based storytelling but also apply these concepts through real-world examples, case studies and hands-on projects. They develop the ability to critically analyze and justify the use of key data visualization techniques, narrative structures and ethical considerations essential to communicating data effectively. By mastering these core skills, students position themselves for leadership roles in data-driven industries across sectors such as business, healthcare, education and technology. Designed for working professionals, the program is offered 100% online in a flexible, asynchronous format that allows learners to balance their studies with personal and professional commitments.
- Professionals looking to enhance their data visualization and storytelling skills
- Those with no prior programming or data experience who want to develop foundational skills in data literacy and visualization
- Employees working in fields like communications, research or marketing who want to upskill and leverage data for more effective communication
- Combine rhetoric, data science, data visualization and storytelling to create compelling data narratives
- Learn best practices in data visualization
- Identify causal data relationships and present them to an audience
- Persuade audiences and move them to action with data
- Data Analysts
- Marketing Professionals
- Business Analysts
- Researchers
