Udemy

GCP Vertex AI | Google AI & ML | Agentic AI (ADK)| MCP | A2A

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  • 723 Students
  • Updated 12/2025
4.5
(47 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
21 Hour(s) 48 Minute(s)
Language
English
Taught by
K8s Point - Training House for GCP, AI & Kubernetes
Rating
4.5
(47 Ratings)

Course Overview

GCP Vertex AI | Google AI & ML | Agentic AI (ADK)| MCP | A2A

A complete Vertex AI Course for Machine Learning and Gen AI solutions | Develop AI Agents with Google ADK | Agentic AI

With All New 2025 Vertex AI features - Including Google AI Agents Tools ( Google ADK) , MCP and A2A


Leap your career ahead with Machine Learning and Gen AI world of GCP

Learn how to use Vertex AI for all you machine learning and generative AI implementation. Join the force of fastest growing Enterprise AI solutioning Platform


Includes a complete Machine Learning and AI refresher for absolute beginners. Don't worry if you have no knowledge on Machine Learning and Gen AI concepts. You will learn it all HERE


Learn all about GCP products for machine learning and AI. Comprehensive course with more than 95% practical implementation


Course is full of easy to understand programming contents.


Products covered in the course:

  • Vertex AI

  • Agentic AI

  • Google Agent Development Kit (ADK)

  • Gen AI Development with Gemini

  • AI Agents in GCP

  • Auto ML

  • Vertex AI Search

  • Vector Search

  • RAG Engine

  • Dataset

  • Training with Vertex AI

  • Custom training with pre-built container

  • Custom training with custom container

  • Inference a Model

  • Model Registry

  • Vertex AI Endpoints

  • Vertex AI Pipeline

  • Create Pipeline with Kubeflow

  • Workbench

  • Colab Enterprise

  • Google AI Studio

  • Vertex AI Studio

  • Batch Inference

  • Model Tuning

  • Accessing Gemini model from Python

  • Accessing Imagen model from Python

  • GCP solutions for Machine Learning

  • AutoML from Big Query

  • Regression Learning with AutoML

  • Image Classification with AutoML

  • Text Classification with Gemini Tuning

  • Importing a Docker Image from Artifact Registry and Training

  • Importing a Docker Image from Artifact Registry and Deploying

  • Develop AI Agents using Google ADK

  • Integrate Langchain tools into Google ADK

  • Deploy AI Agents in Vertex AI Agent Engine

  • Deploy AI Agents in GCP Cloud Run

  • MCP implementation with GCP and AI Agents

  • MCP Database Toolbox ( Also called Gen AI Toolbox for Databases)

  • Agent to Agent (A2A) Communication with Google ADK


Email and Q&A support for any doubt..Happy to Help :)

Course Content

  • 10 section(s)
  • 300 lecture(s)
  • Section 1 Introduction
  • Section 2 Accessing Google Models
  • Section 3 Working with genai SDK
  • Section 4 Notebook Options
  • Section 5 Model Training
  • Section 6 Train Your First Model - Regression - Use AutoML
  • Section 7 Your First Text Classification Model
  • Section 8 Your First Image Classification Model
  • Section 9 Custom Training with Pre-built Container
  • Section 10 Custom Training with Custom Container

What You’ll Learn

  • Complete Understanding of GCP Vertex AI Platform
  • 95% of the course is practical implementation - Codes and Demos of using Vertex AI
  • Use GCP Vertex AI for model training with AutoML and Custom Training
  • GCP AI Agent builder with practical examples
  • AutoML - Google's low code/no code machine learning offering
  • Generative AI with Google Cloud - A complete understanding
  • Develop and Deploy your AI Agents using Google ADK with easy to learn steps
  • Use Vertex AI Endpoints to for model deployment using Pre-trained Container and Custom Container
  • In case you are a absolute beginner - A complete refresher on Machine Learning and Generative AI basic
  • With NEW 2025 features
  • Machine Learning with Pre-built & Custom Container
  • Deploying a model in Vertex AI Endpoint, Could Run, Google Kubernetes Engine (GKE)
  • Using Colab Enterprise & Workbench Notebooks for training and deployment of models
  • End end understanding of creating container based training and deployment of models
  • Using Gemini, Imagen from Python Code
  • All the Python codes are easy to understand and practice
  • Vertex AI Agent Building with Vector Search, RAG Engine, Vertex AI Search
  • Vertex AI Pipeline. Use Kubeflow to create your Vertex AI pipeline
  • Deploy AI Agents in Vertex AI Agent Engine
  • Deploy AI Agents in GCP Cloud Run


Reviews

  • A
    Aravind Padigala
    5.0

    Great effort

  • G
    Ganesh Padhy
    5.0

    Good start. Hope it continues

  • R
    Rahul Kulkarni
    5.0

    The only reason or the main reason, I like the course is - its upto date with the current date. The classes where not recorded 1 or 2 years back. It was easy to navigate. Hope he keeps updating the course in the future time to keep it current.

  • S
    Sean Harmer
    5.0

    Agents are well covered. Easy examples, but good to understand the basic.

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