Building with the Claude API

Overview

Master the Claude API by building AI-powered apps, implementing tool calling, RAG pipelines, MCP servers, and autonomous agent architectures from fundamentals to advanced workflows.

Syllabus

• Introduction to the Claude API
Overview of Claude's capabilities
Setting up your development environment
Connecting to the Claude API
• Building AI-Powered Apps with Claude
Understanding AI app components
Designing user-centered AI applications
Best practices for using the Claude API in app development
• Implementing Tool Calling with Claude
What is tool calling?
Examples of tool calling in AI applications
Integrating external tools with the Claude API
• Developing Retrieval-Augmented Generation (RAG) Pipelines
Introduction to RAG concepts
Designing effective RAG pipelines
Implementing RAG with the Claude API
• Configuring and Managing MCP (Model Control Protocol) Servers
Understanding MCP server architecture
Configuring MCP servers for optimal performance
Security considerations for MCP server deployment
• Building Autonomous Agent Architectures
Basics of autonomous agent design
Claude API's role in autonomous agents
Case studies and examples of autonomous agents using Claude
• Advanced Workflows and Best Practices
Scaling applications with Claude
Error handling and debugging techniques
Performance optimization tips for the Claude API
• Capstone Project
Designing a comprehensive AI application using the Claude API
Implementing key elements: tool calling, RAG pipelines, MCP servers, and autonomous agents
Presenting and refining projects based on peer feedback
• Course Summary and Next Steps
Recap of key concepts and skills
Opportunities for further learning and development
Networking and community resources for Claude API developers

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Subjects

Artificial Intelligence