Claude with Google Cloud Vertex AI by Anthropic

This course provides comprehensive technical training on integrating and deploying Claude AI models through Google Cloud Vertex AI. Developers will learn to implement Claude API capabilities, from basic request handling to advanced features including tool use, retrieval-augmented generation (RAG), and the Model Context Protocol (MCP). The curriculum covers practical implementation patterns, performance optimization techniques, and production-ready workflows for building AI-powered applications.

Prerequisites:
Proficiency in Python programming
Basic knowledge of handling JSON data
A Google Cloud account with Vertex AI access

Learning objectives
Set up and configure Claude models through Google Cloud Vertex AI
Implement multi-turn conversations with proper message handling and context management.
Design and evaluate prompts using systematic testing workflows and automated grading techniques.
Apply prompt engineering principles including XML tag structuring, example-based learning, and output control.
Build tool-use implementations enabling Claude to interact with external functions and APIs.
Develop RAG pipelines using text chunking, embeddings, BM25 search, and contextual retrieval techniques
Use advanced Claude features including vision capabilities, PDF processing, citation generation, and prompt caching.
Implement Model Context Protocol (MCP) for creating custom tools, resources, and prompt templates.
Configure and deploy Anthropic Apps including Claude Code for automated development tasks.
Design agent-based workflows with parallelization, chaining, and routing patterns for complex AI systems.