GenAI

In my previous post, I talked about multi-language libraries and samples for GenAI. In this post, I want to zoom into some C# specific information for GenAI in Vertex AI.

C# GenAI samples for Vertex AI

If you want to skip this blog post and just jump into code, there’s a collection of C# GenAI samples for Vertex AI.

You might think that you need to know Python to be able to use GenAI with VertexAI. While Python is the dominant language in GenAI (and Vertex AI is no exception in that regard), you can actually use GenAI in Vertex AI from other languages such as Java, C#, Node.js, Go, and more.

Let’s take a look at the details.

Vertex AI SDK for Python

The official SDK for Vertex AI is Vertex AI SDK for Python and as expected, it’s in Python. You can initialize Vertex AI SDK with some parameters and utilize GenAI models with a few lines of code:

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.