5 Free AI Courses
From Top Universities
Building AI assistants and AI agents is currently a hot trend among developers. Regardless of your area of work—whether it’s data analytics, machine learning, DevOps, or more—you can always improve your workflow with AI. So where do you start?
Well, you can start by diving right into building AI applications and learning in the process. But understanding the foundations of AI is just as important. We’ve compiled a list of free university courses to help you learn AI fundamentals.
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Let's dive into these courses!
1. CS50’s Introduction to Artificial Intelligence with Python – Harvard
CS50's Introduction to Artificial Intelligence with Python from Harvard is an excellent first course that will help you build the algorithmic foundations of artificial intelligence.
To follow along with this course (and the others), you should be comfortable programming with Python. In this course, you’ll explore search algorithms, machine learning, large language models, and more. The course spans about seven weeks, and you can work on projects in each module.
Topics Covered:
- Graph Search algorithms
- Advanced search
- Knowledge representation
- Logical inference
- Bayesian networks
- Markov models
- Machine learning
- Neural networks
- Natural language processing
Link: CS50's Introduction to Artificial Intelligence with Python
2. Artificial Intelligence – MIT
Artificial Intelligence (6.034) by the Massachusetts Institute of Technology is an undergraduate-level AI course that helps you learn the foundations needed to start building intelligent systems.
Focus Areas:
- Knowledge representation
- Problem solving
- Learning methodologies for AI
You can access all the course contents for free on MIT OpenCourseWare. This course covers:
- Reasoning
- Search
- Constraints
- Learning algorithms
- Deep neural networks
- Probabilistic inference
3. Artificial Intelligence: Principles and Techniques – Stanford University
Artificial Intelligence: Principles and Techniques (CS221) from Stanford is a comprehensive course to get an overview of the AI landscape. You’ll learn machine learning, search, game playing, and much more.
Topics Covered:
- Machine learning
- Search algorithms
- Markov decision processes
- Game playing
- Factor graphs
- Bayesian networks
- Logic
- Deep learning
Link: Stanford CS221: Artificial Intelligence: Principles and Techniques
4. AI in Healthcare Specialization – Stanford University
Healthcare remains one of the critical areas that can benefit from the applications of AI. From efficient prognosis and diagnosis to making healthcare more accessible, AI applications—with AI safety and AI ethics—can be immensely helpful.
If you’re looking to learn AI applications in healthcare, check out the AI in Healthcare specialization offered by Stanford University on Coursera. This specialization includes:
- Introduction to Healthcare
- Introduction to Clinical Data
- Fundamentals of Machine Learning for Healthcare
- Evaluations of AI Applications in Healthcare
Link: AI in Healthcare Specialization
5. Introduction to Generative AI – Duke University
Generative AI has become super popular with recent advances and ongoing research in the field. Building useful applications with large language models is what developers are currently enjoying the most.
Introduction to Generative AI, offered by Duke University on Coursera, will introduce you to the generative AI landscape: working with open-source and closed-source large language models, cloud APIs, and more.
Modules:
- Introduction to Generative AI
- Interacting with models
- Building robust generative AI systems
- Applications of LLMs
Link: Introduction to Generative AI
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Conclusion
Whether you’re just starting out or looking to deepen your knowledge in AI, these courses provide an excellent foundation. By taking advantage of these free resources from top universities, you can develop the skills needed to build innovative AI applications and stay ahead in the rapidly evolving tech landscape. Dive into these courses and start your AI learning journey today!
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