Google Vertex AI Crash Course -Gen AI, Gemini, AI/ML, Agents
Course Description
A fast, hands-on guide for developers to build Generative AI, RAG pipelines, and AI Agents using Google Vertex AI.
Google Vertex AI has become the backbone for building production-grade Generative AI applications using Gemini models, vector search, RAG engines, and agentic workflows.
This crash course is designed to take you from zero to building real GenAI systems on Vertex AI.
In around 6 hours, you’ll gain practical, working knowledge of:
Gemini and Google’s model ecosystem
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
By the end of this course, you will be able to:
Understand Google’s AI model ecosystem (Gemini, Imagen, Veo, and more)
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
Save $19.99 - Limited time offer
Related Free Courses
Revenue Acceleration: 90-Day Sales Growth Playbook
Kubernetes CKAD - Learn The Practical Way + Practice Exam
Secrets of DNA and Its Manipulation
