https://github.com/feed0/building_with_claude_api
https://github.com/feed0/building_with_claude_api
Last synced: 30 days ago
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- Host: GitHub
- URL: https://github.com/feed0/building_with_claude_api
- Owner: feed0
- Created: 2026-06-01T11:41:06.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2026-06-15T12:23:07.000Z (about 1 month ago)
- Last Synced: 2026-06-15T14:15:04.195Z (about 1 month ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 33.2 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Building with Claude API
## Course Overview
This comprehensive video course teaches developers how to integrate Claude AI into applications using the Anthropic API. The curriculum covers fundamental API operations, advanced prompting techniques, tool integration, and architectural patterns for building AI-powered systems. Through hands-on exercises and practical examples, participants will learn to implement conversational AI, retrieval-augmented generation, automated workflows, and leverage Claude's multimodal capabilities for processing text, images, and documents.
## What You'll Learn
- Set up and authenticate with the Anthropic API, including API key management and request configuration
- Implement single and multi-turn conversations with proper message formatting and context handling
- Configure system prompts and control model behavior using temperature, response streaming, and structured output formats
- Design and execute prompt evaluation workflows with test dataset generation and automated grading systems
- Apply prompt engineering techniques including XML tag structuring, example-based learning, and clear directive formulation
- Integrate Claude's tool use capabilities to extend functionality with custom tools, batch operations, and web search
- Build retrieval-augmented generation (RAG) systems with text chunking, embeddings, BM25 search, and contextual retrieval
- Utilize Claude's extended features including extended thinking mode, image analysis, PDF processing, and citation generation
- Implement prompt caching strategies to optimize API usage and reduce latency
- Develop Model Context Protocol (MCP) servers and clients for standardized tool and resource integration
- Deploy Anthropic Apps including Claude Code for automated development tasks and Computer Use for UI automation
- Architect agent-based systems with parallelization, chaining, and routing workflows
## Prerequisites
- Proficiency in Python programming
- Basic knowledge of handling JSON data
## Who This Course Is For
- Backend developers building AI-powered APIs and services
- Full-stack engineers integrating conversational AI into web applications
- Data engineers implementing document processing and knowledge retrieval systems
- DevOps professionals automating workflows with AI assistance
- Technical architects designing scalable AI-integrated systems
- Software engineers transitioning to AI/ML application development
- Developers working on chatbots, virtual assistants, or content generation tools