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 2026 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
With All New 2026 Vertex AI features - Including Google AIAgents 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 AIfor all you machine learning and generative AI implementation. Join the force of fastest growing Enterprise AIsolutioning Platform
Includes a complete Machine Learning and AIrefresher 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 GCPproducts 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
AIAgents in GCP
Auto ML
Vertex AI Search
Vector Search
RAGEngine
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
GCPsolutions for Machine Learning
AutoMLfrom 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 AIAgents 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
MCPDatabase 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 :)
