Lead the GenAI revolution. Future-proof your skills by understanding AI basics, machine learning, algorithms, ethical practices, and real-world applications. Stay ahead in tech leadership.

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

# Rules of machine learning: Best practices for ML engineering 

Google has made public a document sharing their best practices in ML engineering. Everyone working on creating smart products should know these best practices because **there is no need to reinvent the wheel**; we should listen to the experts and learn from the principles of those who have mastered their craft by being on the battlefield time and time again. 

This lesson provides logical, easy to understand rules for creating great AI in all phases of production. 

The Fundamentals

AI in Practice

Real Case Studies

Responsible AI

What's Next

Creating Great AI Products: The Rules

Rules of machine learning: Best practices for ML engineering