Start learning immediately — no application required.
Penn Engineering’s on-demand non-credit courses are designed for professionals, career changers, aspiring technologists, and curious learners looking to build practical skills in programming, artificial intelligence, and machine learning.
Unlike many online learning platforms that offer broad introductions, these courses provide academically rigorous, specialized, and applicable learning developed by Penn Engineering faculty and delivered through Canvas.
Register for an Online Professional Learning Course
Penn Engineering Alumni
If you are a Penn Engineering Alum who would like to register for discounted access to an on-demand course, please register by filling out a short application. Please note that you must use your alumni email address (how to activate your alumni email address).
General Public
If you are not a Penn Engineering Alum, please click “Enroll Today” to view our course and specialization options in Canvas and to get started learning now!
Current Online Professional Learning Options
Programming Courses
Earn a specialization by completing the four courses listed here and paying the certificate fee.
Introduction to Python Programming
Explore core programming concepts like data structures, conditionals, loops, variables, and functions. This course will get you ready to code at a fast pace.
- 4 Weeks
- 6 Hours per Week
- Self-paced
- Instructor: Brandon Krakowsky
- Hosted on Canvas
Data Analysis Using Python
Discover core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. You’ll also get an overview of loading, inspecting, and querying real-world data.
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- 3 Weeks
- 6 Hours per Week
- Self-paced
- Instructor: Brandon Krakowsky
- Hosted on Canvas
Introduction to Java and Object-Oriented Programming
Learn how to write custom Java classes and methods, and how to test code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.
- 3 Weeks
- 6 Hours per Week
- Self-paced
- Instructor: Brandon Krakowsky
- Hosted on Canvas
Inheritance and Data Structures in Java
Get a comprehensive look at Java inheritance, including access modifiers and overriding methods. Explore abstract classes and learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps.
- 4 Weeks
- 6 Hours per Week
- Self-paced
- Instructor: Brandon Krakowsky
- Hosted on Canvas
AI and Machine Learning Courses
Earn a specialization by completing the four courses listed here and paying the certificate fee.
Artificial Intelligence Essentials
Take a look at artificial intelligence through philosophical and science fiction lenses, and review Python basics. Then explore AI algorithms through studying rational agents and common search algorithms like A* search. Complete short coding assignments in Python.
- 4 weeks
- 8 hours per week
- Self-paced
- Instructor: Chris Callison-Burch
- Hosted on Canvas
Statistics Essentials
Review the basics of discrete math and probability before enhancing your probability skills and learning how to interpret data with tools such as the central limit theorem, confidence intervals and more. Complete short weekly mathematical assignments.
- 4 weeks
- 8 hours per week
- Self-paced
- Instructor: Hamed Hassani
- Hosted on Canvas
Machine Learning Essentials
Use statistical learning techniques like linear regression and classification to solve common machine learning problems. Complete short coding assignments in Python.
- 4 weeks
- 8 hours per week
- Self-paced
- Instructor: Victor Preciado
- Hosted on Canvas
Deep Learning Essentials
Delve into the history of deep learning, and explore neural networks like the perceptron, how they function, and what architectures underpin them. Complete short coding assignments in Python.
- 4 weeks
- 8 hours per week
- Self-paced
- Instructor: Pratik Chaudhari
- Hosted on Canvas
Why Online Professional Learning?
- Learn on your own schedule
- Start immediately with no application process
- Build practical skills in programming and AI/ML
- Earn shareable badges through Accredible
- Explore individual courses or complete a specialization
- Learn from Penn Engineering faculty
Designed for Real Goals
- Advance in your current role
- Switch careers
- Explore a new technical field
- Try out online learning
- Prepare for graduate-level study
Our on-demand courses are built to help you develop applicable skills you can use right away.
Affordable, Flexible Learning
Courses are available individually or as part of bundled specializations.
- Individual courses: starting at $99.99
- Introductory summer pricing: $50 per course
- Specializations: 4-course bundles for the price of 3
Open-access and affordable, these non-credit offerings make Penn Engineering learning more accessible than ever.
Programming and AI/ML Pathways
Our initial programming and AI/ML offerings are only the start. Penn Engineering will continue adding new courses, specializations, and learning pathways — creating a flexible online hub learners can return to throughout their careers to expand their expertise, explore emerging technologies, and stay competitive in a rapidly evolving workforce.
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