The LangChain & LangGraph Handbook PDF Intermediate FREE
A practical guide to building agents and RAG applications with LangChain and LangGraph — components, chains, state, memory, and production patterns.
Handbooks, cheat sheets, diagrams, templates, and interview prep packs to help you design, build, and ship AI systems with confidence.
A practical guide to building agents and RAG applications with LangChain and LangGraph — components, chains, state, memory, and production patterns.
17 resources found
A practical guide to building agents and RAG applications with LangChain and LangGraph — components, chains, state, memory, and production patterns.
An interactive roadmap for learning GenAI step by step, from foundations to production-ready AI systems.
A practical guide to choosing between agentic systems and deterministic workflow patterns.
Designing the context window: retrieval, compression, ordering, and prompt structure for reliable LLM apps.
Core Python for AI engineers — data structures, functions, OOP, and the patterns interviews expect.
A step-by-step learning roadmap into GenAI for early-career engineers.
The modern GenAI stack: models, orchestration, vector stores, evaluation, and observability at a glance.
The Python skills that matter for GenAI roles, with practice pointers.
Quick reference for window functions — ranking, aggregates, frames, and real interview patterns.
When small language models beat large ones — cost, latency, quality trade-offs.
Common AWS architecture and cost mistakes in GenAI projects — and how to avoid them.
Reference diagram of a production GenAI stack on AWS: Bedrock, OpenSearch, Lambda, and friends.
Visual guide to multi-agent architecture, communication flows, and orchestration patterns.
Architecture comparison: when one agent is enough and when to orchestrate many.
AWS services, patterns, and practical skills for building and getting hired around GenAI systems.
What to learn (and in what order) to land a GenAI engineering role.
Resume structure, wording, and evidence that gets data/AI resumes shortlisted.
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