Building Custom APIs over Vertex/Google AI (Serverless GCP)

In today's tutorial, we build a custom API over Google Cloud's Vertex AI service. We start from the ground up - explaining the concepts, and then jumping into a hands-on tutorial.
What we cover in this video:
* Exploring Google Cloud's Vertex AI Suite and its generative AI capabilities.
* Using Cloud Functions for a serverless approach to APIs.
* Implementing Identity and Access Management (IAM).
* Crafting an API that generates dynamic draft job descriptions.
* Python code for Cloud Functions and integrating Vertex AI.
* Adding security layers to our API, like API token validation.
Demonstration Code and Diagram: github.com/nodematiclabs/vert...
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0:00 Conceptual Overview
1:50 Vertex AI and LLMs
3:45 Identity and Access Management
4:40 Cloud Functions API

[@olealoboluna]

I'm new on Google Console...The first time I saw you video I didn't understand anything at all.... after 4 months of search in the web, talking to google epmployees "experts" (that didn't know anyhting!)and reading blog to came to a AI solution... I just cameback here and now it's clear as water! hahaha Thanks for sharing your work!

[@AndrewLearned]

THANK YOU!!!!!

[@hashmetric]

Do you offer consulting for GCP? I went to the your website but didn’t see mention of a service. I really appreciate all of your videos. They’ve been tremendously helpful. I’d love to be able to hire you for consulting on a specific GCP setup and best practices for some of my projects.

[@nodematic]

Thanks for the kind note. We occasionally do consulting. Let's get in touch over email: [e-mail].

[@hashmetric]

Thank you!!!