Tutorials

Choose the learning path for what you need next.

Start with the outcome, then pick the right difficulty. Each path is built for practical users: builders, testers, analysts, product owners, and leaders shipping AI systems.

GenAI LLM Systems LangGraph System Design AI Literacy LLM Mastery

32 modules Start: Beginner

GenAI Foundations

Core GenAI concepts, APIs, prompts, structured outputs, RAG, agents, evals, and production AI basics.

Best for DEV, QA, BA, and PM learners who need practical AI fluency.

Outcome Understand and build the baseline AI application patterns used across the rest of the site.

11 modules Start: Intermediate

LLM Systems Engineering

Production LLM architecture patterns: eval harnesses, RAG, gateways, prompt registries, routing, monitoring, and cost controls.

Best for Builders responsible for reliable model-backed products.

Outcome Design the runtime systems that make LLM features measurable, safe, and operable.

30 modules Start: Beginner

LangGraph

Stateful agent workflows, graph nodes, routing, persistence, human approval, deployment, evaluation, and multi-agent patterns.

Best for Developers building controllable agent workflows.

Outcome Move from linear chains to durable, inspectable, resumable agent graphs.

13 modules Start: Beginner

System Design for AI/FDE

Distributed systems and AI infrastructure design for FDE-style interviews and production architecture decisions.

Best for Engineers, PMs, and BAs who need to explain architecture trade-offs clearly.

Outcome Design scalable AI systems with explicit user promises, failure modes, and operational controls.

8 modules Single Track

AI Literacy for Real Decision Making

How AI fails, what models cannot do, privacy risks, bias testing, prompt injection, and defensible deployment decisions.

Best for DEV, QA, BA, PM, and Exec audiences who work alongside AI systems.

Outcome Spot AI failure modes before they become incidents and make AI deployment decisions that hold up under scrutiny.

18 modules Start: Beginner

LLM Mastery for Enterprise AI Engineering

A free enterprise AI engineering curriculum that turns LLM foundations, RAG, agents, fine-tuning, deployment, evaluation, and governance into one readiness packet.

Best for AI engineers, platform engineers, product engineers, QA/risk partners, PMs, and technical leaders responsible for production LLM systems.

Outcome Produce a defensible enterprise AI readiness packet: use-case brief, system choice, prototype, eval suite, deployment plan, governance evidence, and release decision.

Recommended Starting Points

One first step per path. Use role filters if you are scanning for your own job-to-be-done.

Beginner 1 of 9

What is Generative AI and How It Works

Understand what generative AI actually does - not the hype, but the mechanism. How text, images, and code come out of a model and why it matters for your role.

DEV QA BA PM

⏱ 15 min

Intermediate 1 of 4