Want to learn AI from the best of resources? Check out these free AI courses from top universities.
Building AI assistants and AI agents is super popular among developers currently. Regardless of the area in which you work—data analytics, machine learning, DevOps, and 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 learn in the process. But learning the foundations of AI is just as important. We have compiled a list of free university courses to help you learn AI fundamentals.
So let’s go over these courses.
1. CS50’s Introduction to Artificial Intelligence with Python – Harvard
CS50’s Introduction to Artificial Intelligence with Python from Harvard is a great first course that will help you build the algorithmic foundations of artificial intelligence.
To follow along with this course (and for the other courses that follow), you should be comfortable programming with Python. In this course, you’ll get to explore search algorithms, machine learning, large language models, and more. The course spans about 7 weeks, and you can work on projects in each of the modules.
Here’s an overview of the topics covered in this course:
– Graph Search algorithms
– Advanced search
– Knowledge representation
– Logical inference
– Bayesian networks
– Markov model
– Machine learning
– Neural networks
– Natural language processing
Link: online-learning.harvard.edu/course/cs50s-introduction-artificial-intelligence-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 you need to start building intelligent systems.
The focus is on the following:
– Knowledge representation
– Problem solving
– Learning methodologies for AI
You can access all the course contents for free on MIT OpenCourseWare. This course covers the following topics:
– 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.
The topics that this course covers are as follows:
– Machine learning
– Search algorithms
– Markov decision processes
– Game playing
– Factor graphs
– Bayesian networks
– Logic
– Deep learning
Link: cs221.stanford.edu
4. AI in Healthcare Specialization – Stanford University
Healthcare remains one important area that can benefit from AI applications. From efficient prognosis and diagnosis to making healthcare more accessible, AI applications—with AI safety and AI ethics—can be immensely helpful.
So 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 the following courses and a capstone project:
– Introduction to Healthcare
– Introduction to Clinical Data
– Fundamentals of Machine Learning for Healthcare
– Evaluations of AI Applications in Healthcare
Link: www.coursera.org/specializations/ai-healthcare
5. Introduction to Generative AI – Duke University
Generative AI has become super popular with the recent advances and ongoing research in the field. And 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. The modules in this course are as follows:
– Introduction to Generative AI
– Interacting with models
– Building robust generative AI systems
– Applications of LLMs
Link: www.coursera.org/learn/introduction-to-generative-ai
These courses provide an excellent foundation in AI, catering to various interests and professional needs. Whether you are looking to delve into the theoretical aspects or apply AI in specific fields like healthcare, these free courses from top universities offer a robust starting point.
