AI & Machine Learning
LLM integration, RAG, prompt engineering, and AI agent development
10 skillsLLM API Integration
Best practices for integrating LLM APIs with error handling, streaming, and cost management.
RAG Implementation Patterns
Retrieval-Augmented Generation with chunking, embeddings, and hybrid search.
AI Agent Development
Building AI agents with tool use, planning, memory, and safety patterns.
Claude API & Anthropic SDK
Claude API integration with Messages API, streaming, tool use, vision, and extended thinking.
OpenAI API Best Practices
OpenAI API with chat completions, function calling, embeddings, and fine-tuning patterns.
LangChain & LangGraph Orchestration
LangChain and LangGraph for building AI chains, agents, and multi-step workflows.
Vector Database Patterns
Vector databases with Pinecone, Qdrant, pgvector, and Chroma for similarity search and AI applications.
AI Safety & Responsible AI
AI safety patterns including content filtering, bias detection, guardrails, and responsible deployment.
MCP Server Development
Model Context Protocol server development with tool definitions, resource management, and transport patterns.
Prompt Engineering Techniques
Prompt engineering with chain-of-thought, few-shot, structured output, and evaluation patterns.