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

***In this lesson, we are going to go through a hypothetical machine learning project to help you get a better understanding of the type of questions we can address when working on machine learning projects.*** 

You are leading a team that has been tasked to create a system able to detect ships, boats, and whales in aerial images. The goal is to recognize which of these objects appear in each image. Yes, we are going to save the whales from sea accidents with the power of computer vision!



The Fundamentals

AI in Practice

Real Case Studies

Responsible AI

What's Next

Quiz: Test Scenario