Learn AI by following a path, not a pile of links.
Practical guides for understanding AI, building useful systems, choosing the right tools, and preparing for an AI engineering career. Start with one topic, then follow the related links to go deeper.
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Guided learning paths
How to Build AI Agents
A developer guide to agent architectures, tools, frameworks, and production deployment.
Open guideMCP Tutorial
Understand Model Context Protocol and build a server that connects tools to AI clients.
Open guideAgentic AI Training
See the live, hands-on path for building agents, RAG systems, and multi-agent workflows.
Open guideAI Engineer Roadmap
A practical sequence from Python and ML foundations to LLM systems and deployment.
Open guideChatGPT vs Claude vs Gemini
Compare the leading assistants by coding, reasoning, multimodal work, and integrations.
Open guideClaude Code vs Cursor
Compare two AI coding workflows and choose an approach that fits your engineering work.
Open guideAI agents and developer systems
Build, orchestrate, evaluate, and operate reliable AI agent workflows.
LangGraph: Build Stateful AI Agent Workflows
LangGraph is a framework by LangChain for building stateful, multi-step AI agent workflows. It extends LangChain with graph-based orchestration for complex agentic systems.
Read guide Practical guideMulti-Agent Systems: Architecture, Patterns & Frameworks
Multi-agent AI systems use multiple specialized AI agents working together to solve complex tasks. Learn architectures, frameworks, and production patterns.
Read guide Practical guideAgent Evaluation: Testing, Benchmarking & Monitoring AI Agents
Learn how to evaluate AI agents for accuracy, reliability, cost, and safety. Covers evaluation frameworks, metrics, benchmarking, and production monitoring.
Read guide Practical guideAI Agent Frameworks: The Complete Comparison
Compare every major AI agent framework in 2026: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and more. Architecture, use cases, and recommendations.
Read guide Practical guiden8n + AI: No-Code AI Agent Workflows
n8n is an open-source workflow automation tool that integrates with AI models. Learn to build AI-powered automations, RAG pipelines, and agent workflows visually.
Read guide Practical guideA2A Protocol: How AI Agents Talk to Each Other
The Agent-to-Agent (A2A) protocol is an open standard by Google for AI agents to discover, communicate, and collaborate across platforms and frameworks.
Read guide Practical guideMicrosoft's AI Agent Ecosystem
Microsoft offers multiple AI agent frameworks: Semantic Kernel for enterprise, AutoGen for research, and Copilot Studio for no-code. Complete comparison and guide.
Read guideModels, search, and AI foundations
Learn how current model families and AI search tools work, and when to use them.
Large Language Models: The Complete Engineering Guide
Everything engineers need to know about LLMs in 2026. Architecture, training, fine-tuning, RAG, deployment, and choosing the right model for your use case.
Read guide Practical guideAnthropic Claude: The Complete Developer Guide
Everything about Anthropic's Claude AI - models (Sonnet, Opus, Haiku), Claude Code for developers, API usage, pricing, and why engineers prefer it for coding.
Read guide Practical guideGPT & OpenAI: The Complete Developer Guide
Everything about OpenAI's GPT models - GPT-4o, GPT-5, API usage, function calling, assistants API, and building AI applications with OpenAI.
Read guide Practical guideGoogle Gemini: The Complete Developer Guide
Everything about Google's Gemini AI - models (Pro, Ultra, Flash), API usage, multimodal capabilities, and building with the world's largest context window.
Read guide Practical guidePerplexity AI: A Practical Guide to Cited Web Research
Learn how Perplexity combines web search with language models to answer questions with linked sources, and where it fits alongside ChatGPT, Gemini, Claude, and traditional search.
Read guide Practical guideAGI: Artificial General Intelligence - Where We Stand
Artificial General Intelligence (AGI) is AI that matches human-level reasoning across all domains. Learn what AGI means, how close we are, and what it means for engineers.
Read guideWant structure, feedback, and real projects?
Use these guides for self-study, or join a live program when you want an instructor, a sequence, and a project-based path through AI engineering.
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