http406 / building-ai-course-elements-of-ai

The course content is free of charge, but if you'd like to improve your CV, purchase a shareable certificate. It will be available when you successfully complete the course.

Building Ai

Building AI a flexible online course for anyone who wants to learn about the practical methods that make artificial intelligence a reality. You will get a solid introduction to for example machine learning and neural networks, and you will learn where and how AI methods are applied in real life. It is easy to move freely between the three difficulty levels, from multiple choice exercises to programming with Python – depending on whether you know programming or not. As a result of this course, you will be able to craft your own AI idea and present it to the community. Doing the online course is free of charge, but you can purchase the Building AI certificate to reward yourself for the effort. The course content is free of charge, but if you'd like to improve your CV, purchase a shareable certificate. It will be available when you successfully complete the course. You can join the course from here:

https://buildingai.elementsofai.com/

Chapters

Chapter 1 - Getting Started With AI

• Why AI matters
• Optimization
• Hill climbing

Chapter 2 - Deailing With Uncertainty

• Probaility fundamentals
• The Bayes Rule
• Native Bayers classifier

Chapter 3 - Machine Learning

• Linear regression
• The neasest neighbor method
• Working with text
• Overfitting

Chapter 4 - Neural Networks

• Logicistic regression
• From logistic regression to neural networks
• Deep learning
• Chapter 5 - Conclusion

Summary

• Your AI idea
• AI idea gallery