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

# Reinforcement learning
Reinforcement learning is a special and more advanced category where the learning system or agent needs to learn to make specific decisions. The agent observes the environment to which it is exposed, selects and performs **actions**, and gets **rewards** or penalties in return. Its goal is to choose actions that maximize the **reward** over time. Based on trial and error and past experience, the system learns the best strategy, or policy, on its own.

This lesson introduces reinforcement learning and its business use cases. 

The Fundamentals

AI in Practice

Real Case Studies

Responsible AI

What's Next

Reinforcement Learning

Reinforcement learning