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

## Privacy 

***AI systems should respect privacy.***

Unless you have been living in a cave or totally out of touch with tech news, I'm sure that you can recall the **Cambridge Analytica** scandal --- the poster child for privacy violations and how data can be misused.

Cambridge Analytica purchased Facebook data on tens of millions of Americans without their knowledge to psychologically hack U.S. voters and get Donald Trump elected as president. Facebook allowed a third-party app to access not only users’ data but to mine information about their friends as well. If Mark Zuckerberg, Facebook CEO, had a time machine, there are high chances that he’d want to revisit 2012, a time when he had given the permission to let such actions happen because this scandal damaged Facebook’s reputation severely and has left a scar that the company is still dealing with!



# Privacy 

***AI systems should respect privacy.***

Unless you have been living in a cave or totally out of touch with tech news, I'm sure that you can recall the **Cambridge Analytica** scandal --- the poster child for privacy violations and how data can be misused.

Cambridge Analytica purchased Facebook data on tens of millions of Americans without their knowledge to psychologically hack U.S. voters and get Donald Trump elected as president. Facebook allowed a third-party app to access not only users’ data but to mine information about their friends as well. If Mark Zuckerberg, Facebook CEO, had a time machine, there are high chances that he’d want to revisit 2012, a time when he had given the permission to let such actions happen because this scandal damaged Facebook’s reputation severely and has left a scar that the company is still dealing with!



This lesson discusses the importance of privacy in AI systems. 


The Fundamentals

AI in Practice

Real Case Studies

Responsible AI

What's Next

Responsible AI Practices: Privacy

Privacy