AI

Introduction

In my previous couple posts (post1, post2), I shared my detailed notes on Generative AI Learning Path in Google Cloud’s Skills Boost. It’s a great collection of courses to get started in GenAI, especially on the theory underpinning GenAI.

Since then, I discovered another great resource to learn more about GenAI: Learn Generative AI Short Courses by DeepLearning.AI from Andrew Ng.

In this post, I summarize what each course teaches you to help you decide which course to take. I highly recommend taking all 4 courses. They’re full of useful information and short enough that even if you’re not fully interested in the topic, you can still get a good idea about it in a short amount of time.

If you’re looking to upskill in Generative AI, there’s a Generative AI Learning Path in Google Cloud Skills Boost. It currently consists of 10 courses and provides a good foundation on the theory behind Generative AI.

As I went through these courses myself, I took notes, as I learn best when I write things down. In part 1 of the blog series, I shared my notes for courses 1 to 6. In this part 2 of the blog series, I continue sharing my notes for courses 7 to 10.

If you’re looking to upskill in Generative AI (GenAI), there’s a Generative AI Learning Path in Google Cloud Skills Boost. It currently consists of 10 courses and provides a good foundation on the theory behind Generative AI and what tools and services Google provides in GenAI. The best part is that it’s completely free!

As I went through these courses myself, I took notes, as I learn best when I write things down. In this part 1 of the blog series, I want to share my notes for courses 1 to 6, in case you want to quickly read summaries of these courses.