A complete, structured beginner course material for Artificial Intelligence — 10 chapters covering AI fundamentals, math, Python, ML, deep learning, NLP, computer vision, tools, real-world applications, and ethics.
Build an autonomous AI agent that reads GitHub Pull Requests, analyzes diffs with a local Ollama LLM, and posts automated code reviews — complete step-by-step developer guide.
The definitive 2026 developer guide to building AI agents with Claude — covering the ReAct loop, tool use, the Claude Agent SDK, Managed Agents platform, MCP integration, multi-agent orchestration, memory patterns, and production best practices, with 100+ Python and TypeScript code examples.
A complete, authoritative guide to AI agents — covering definitions, architecture, types, reasoning paradigms (ReAct, ReWOO, CoT, ToT), multi-agent systems, frameworks (LangChain, AutoGen, Bedrock, Agentforce), industry applications, benefits, challenges, and the future of agentic AI.
A comprehensive guide covering definitions, history, types, mechanisms, applications, ethics, and the future of AI — synthesised from 11 leading sources.