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Gemini Enterprise Agent Platform | ADK AI Agents | MCP | A2A

Name: Gemini Enterprise Agent Platform | ADK AI Agents | MCP | A2A
Availability: InStock
Rating: 4.6 (403 reviews)
Author: K8s Point - Training House for GCP, AI & Kubernetes

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Complete Vertex AI course for Gen AI & ML Solution. Agentic AI with Google ADK, Gemini

4.6

 4.6/5

(403) Ratings

5,816 students

IT & Software

Created by K8s Point - Training House for GCP, AI & Kubernetes

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What you'll learn

Gain a complete practical understanding of Google Cloud’s AI platform, including Vertex AI and the new Gemini Enterprise Agent Platform
Follow a 95% hands-on, implementation-focused course with practical code, demos and real-world projects
Develop and Deploy your AI Agents using Google ADK with easy to learn steps
Build real-world AI agents using Google ADK, CopilotKit and AG-UI, with complete source code
Train machine learning models using Vertex AI AutoML and Custom Training
Build practical AI agent solutions using Google Cloud’s Agent Builder capabilities
AutoML – Google’s low code/no code machine learning offering
Generative AI with Google Cloud – A complete understanding
Deploy machine learning models to Vertex AI Endpoints using pre-built and custom containers
Learn Generative AI, Machine Learning and AI Agent fundamentals, including a practical refresher for beginners
Learn how to work with new Google Cloud AI and Agentic AI capabilities introduced in 2026
Build container-based machine learning training workflows using pre-built and custom containers
Deploy machine learning models and AI applications using Cloud Run and Google Kubernetes Engine (GKE)
Use Colab Enterprise and Vertex AI Workbench for machine learning development, training and deployment
End end understanding of creating container based training and deployment of models
Work with Gemini, Imagen & Nano Banana models from Python
Practice with easy-to-understand Python code and complete implementation examples
Implement RAG and AI Agent applications using Vertex AI Search, Vector Search and RAG Engine
Build end-to-end ML pipelines with Vertex AI Pipelines and Kubeflow
Build and deploy AI agents using Vertex AI Agent Engine ( Now Agent Runtime)
Deploy Google ADK AI agents to Agent Runtime, Google Cloud Run & Google Kubernetes Engine (GKE)
Google ADK Integration with Copilotkit and AG-UI for a real world agent practical explanation
Complete practical understanding of Gemini Enterprise Agent Platform ( Previously Vertex AI)
Build Generative AI applications with Gemini using Python and Google Cloud
Understand the complete lifecycle of machine learning model training, containerization and deployment on Google Cloud
Understand how to use Session, Memory, Context in a AI Agent
Develope a Gen AI chatbot with Chainlit, Python and Google Gen AI SDK
Build your Multi-Agent system Google Agent Development Kit
Integrate Model Context Protocol (MCP) with Google ADK agents to connect AI agents with external tools, APIs, data sources and enterprise systems.
Implement Agent2Agent (A2A) communication to build collaborative multi-agent systems where specialized AI agents can discover and interact with each other.
Use tools with AI agents to extend their capabilities by connecting Gemini models to APIs, databases, search, external services, and custom business logic.
Agent Governance & Security with Agent Registry, Agent Gateway, Policy, Cloud Armor etc

This course includes:

31 total hours on-demand video

46 articles

36 downloadable resources

411 lessons

Full lifetime access

Access on mobile and TV

Certificate of completion

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Course content

Requirements

Basic Python programming knowledge is recommended. You should be comfortable with variables, functions, classes and installing Python packages.
No prior experience with Vertex AI, Gemini, Google ADK, AI Agents, MCP or A2A is required
Basic understanding of Google Cloud is helpful, but you don’t need to be an expert in GCP.
Most importantly, you should be willing to learn by building—the course is heavily focused on practical implementation, code and real-world demos.

Description

Post Views: 10

*** Vertex AI now rebranded to Gemini Enterprise Agent Platform (GEAP). We have already included all the changes ***

With All New 2026 Vertex AI features – Including Google AI Agents Tools ( Google ADK) , MCP and A2A, Code with Gemini

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
Now ADK 2.0 Included
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
Agent security and Governance with Gemini Enterprise Agent Platform
Manage AI sanitization with Cloud Armor
Use Agent Registry for Custom agents, A2A agents, MCP servers
Understand how to use Agent Identity, Policy & Agent Gateway for better AI Agent Security and Governance

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

Courze

Who this course is for:

Cloud and AI Developers who want to build practical Generative AI applications and AI agents on Google Cloud.
Learning mDevelopers interested in AI Agents and Agentic AI who want hands-on experience with Google ADK, Gemini, MCP, A2A, RAG and agent tools.achine learning / generating AI with GCP
Google Cloud professionals who want to learn Vertex AI, Gemini Enterprise Agent Platform and modern AI/ML capabilities
Machine Learning Engineers and Data Scientists who want to learn model training, deployment, pipelines and Generative AI on Google Cloud
Software Engineers and Python Developers looking to integrate Gemini, AI agents, APIs, tools and enterprise data into real-world applications.
GCP Architects and Cloud Engineers who want to understand how AI agents and ML workloads can be designed and deployed using Google Cloud services.
I/ML beginners who want a practical introduction to Machine Learning, Generative AI and AI Agents before moving into advanced implementations.
Professionals preparing for Google Cloud AI and Agentic AI certifications who want practical, implementation-focused experience with Google Cloud services.