In one form or the other, AI is going to be infused in all the tech products. Meaning, that in order to stay a relevant leader, it has become essential to have a solid, broad understanding of AI. While you may not be implementing the solution, you need to speak the language of AI.
 
Whether you’re leading a team on creating AI solutions, or you just want a better understanding of AI, then this course is for you. In this course, I have deconstructed the concepts most relevant for you.
 
You will start by learning the basics of AI, its connection with machine learning, and the different types of algorithms you should be familiar with. You’ll then learn the rules, best practices, and infrastructure for creating great AI products that users trust. Then, you will go through some real case studies of AI application and do a deep dive into Ethical AI. You'll end by getting an outlook into the current status and future of AI. In a nutshell, this course is your no-fuss, comprehensive guide to the essentials of AI.

Grokking AI for Engineering & Product Managers

## AI timeline: A lesson on history

AI has had its rounds of inflated expectations and crushing disappointments. The timeline below shows the history of AI's rises and falls (a.k.a. **AI winters**):

# AI timeline: A lesson on history

AI has had its rounds of inflated expectations and crushing disappointments. The timeline below shows the history of AI's rises and falls (a.k.a. **AI winters**):

This lesson provides a history of the highpoints and low points of AI development and utilization.

The Fundamentals

AI in Practice

Real Case Studies

Responsible AI

What's Next

The Highs and Lows of AI

AI timeline: A lesson on history