Google Vertex AI Crash Course -Gen AI, Gemini, AI/ML, Agents

Google GenAI SDK with Python Code

Vertex AI Studio and Model Garden

Notebooks and development environments

Core ML concepts on Vertex AI

Retrieval-Augmented Generation (RAG)

AI Agents using Google ADK and Agent Engine

Multi Agent System with ADK

Colab Enterprise

Jupyterlab Workbench

Train with AutoML

Custom Training

Deploy with Vertex AI Endpoints

Model Registry

Use Vertex AI Model Garden and Vertex AI Studio effectively

Authenticate and access models using API keys, service accounts, and ADC

Work with Vertex AI notebooks, Colab Enterprise, and Workbench

Understand Vertex AI training options including AutoML and custom training

Build, deploy, and test ML models on Vertex AI

Create embeddings and vector indexes for semantic search

Implement RAG pipelines using RAG Engine and Vertex AI Search

Design, build, and deploy AI Agents using Google ADK and Agent Engine

Run agents locally and deploy them on Google Cloud