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

# Background

>***“We use data to not only make better decisions about what kind of movie we want to see but also what kind of world we want to see.”***

As the human population keeps booming, our actions are pushing life on our shared planet towards **mass extinction**. Human activity is causing extinctions **at the rate of centuries** versus the millions of years that it takes for natural extinctions. **Poaching** is playing a huge role in this human lead devastation, and the numbers for some species are plummeting to critical/unsustainable levels. According to the [Lindbergh Foundation](http://lindberghfoundation.org/):

This lesson discusses AI in wildlife conservation. 


AI for Wildlife Conservation

This lesson discusses AI in wildlife conservation.

The Fundamentals

AI in Practice

Real Case Studies

Responsible AI

What's Next

AI for Wildlife Conservation

Background