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Currently, creating ai assistants and agents is very popular among developers. No matter what area you work in (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 into building ai applications and learning in the process. But learning the fundamentals of ai is equally important. And we've compiled a list of free college courses to help you learn the fundamentals of ai.
So let's review these courses.
1. Introduction to artificial intelligence with Python from CS50 – Harvard
CS50 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 this course (and the other courses) below, you must be comfortable programming with Python. In this course, you'll explore search algorithms, machine learning, large language models, and more. The course lasts approximately 7 weeks and you can work on projects in each of the modules.
Here is 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: CS50 Introduction to artificial intelligence with Python
2. artificial intelligence – MIT
artificial intelligence (6.034) from the Massachusetts Institute of technology is a college-level ai course that helps you learn the fundamentals you need to start building intelligent systems.
The focus is on the following:
- Knowledge representation
- Problem resolution
- Learning methodologies for ai
You can access all course content for free on MIT OpenCourseWare. This course covers the following topics:
- Reasoning
- Look for
- Restrictions
- Learning algorithms
- Deep neural networks
- probabilistic inference
Link: artificial intelligence
3. artificial intelligence: principles and techniques – Stanford University
artificial intelligence: principles and techniques (CS221) from Stanford is a comprehensive course to gain an overview of the ai landscape. You will learn machine learning, search, games, and much more.
The topics covered in this course are the following:
- Machine learning
- Search algorithms
- Markov decision processes
- playing game
- Factor Charts
- Bayesian networks
- Logic
- Deep learning
Link: Stanford CS221: artificial intelligence: Principles and Techniques
4. Specialization in ai in Healthcare – Stanford University
Healthcare remains one of the important areas that can benefit from ai applications. From efficient prognoses and diagnoses to making healthcare more accessible, ai applications (with ai safety and ethics) can be immensely useful.
So if you're looking to learn about the applications of ai in healthcare, check out the ai-healthcare” target=”_blank” rel=”noopener”>ai in healthcare specialization offered by Stanford University on Coursera. This specialization includes the following courses and a final project:
- Introduction to healthcare
- Introduction to clinical data
- Fundamentals of machine learning for healthcare
- Assessments of ai applications in the healthcare sector
Link: ai-healthcare” target=”_blank” rel=”noopener”>Specialization in ai in healthcare
5. Introduction to Generative ai – Duke University
Generative ai has become very popular thanks to recent advancements and ongoing research in this field. And creating useful applications with great language models is what developers enjoy most these days.
ai” target=”_blank” rel=”noopener”>Introduction to Generative ai, offered by Duke University on Coursera, will introduce you to the landscape of generative ai: working with large open and closed source language models, cloud APIs, and more. The modules of this course are the following:
- Introduction to Generative ai
- Interacting with models
- Building robust generative ai systems
- LLM Applications
Link: ai” target=”_blank” rel=”noopener”>Introduction to Generative ai
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I hope you found this roundup of free ai courses useful. For courses offered on platforms like Coursera and edX, you can register for a free account and audit the course to access its contents for free.
If you are interested in learning the fundamentals of machine learning, read 5 Free College Courses to Learn Machine Learning.
twitter.com/balawc27″ rel=”noopener”>Bala Priya C. is a developer and technical writer from India. He enjoys working at the intersection of mathematics, programming, data science, and content creation. His areas of interest and expertise include DevOps, data science, and natural language processing. He likes to read, write, code and drink coffee! Currently, he is working to learn and share his knowledge with the developer community by creating tutorials, how-to guides, opinion pieces, and more. Bala also creates engaging resource descriptions and coding tutorials.
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