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From prompting to production

The Agentic AI Roadmap

A clear, ordered path to becoming an AI builder — prompting, context, RAG, agents, MCP, and production.

7 stages · follow in order, or skip ahead
  1. 1

    Prompting

    The foundation — getting reliable, high-quality results from any model.

    FreeBeginner ~0.5h
    Prompting Basics: Get Great Results from AI
    A free, 30-minute course on getting far better answers from AI — with the simple skills that actually work (and the 'magic prompt' myths that don't).
    Open course
    $29Beginner ~5h
    Prompt Engineering Mastery
    Get dramatically better results from any AI — the durable techniques plus how to prompt the new reasoning models.
    Open course
  2. 2

    Context Engineering

    Deliberately deciding everything the model sees.

    $29Intermediate ~4.5h
    Context Engineering: Get the Right Information Into Your AI
    The skill beyond prompting: deliberately deciding everything the model sees — instructions, examples, retrieved data, tools, and history — in the right amount and order. Why it matters, and how to do it well.
    Open course
  3. 3

    Grounding with RAG

    Connect AI to your own data so it answers from real facts.

    $29Intermediate ~6h
    RAG & Grounding: Building AI on Your Own Data
    Build AI that answers reliably from your documents — retrieval, reranking, evaluation, and production security.
    Open course
  4. 4

    Building Agents

    From a chatbot that answers to an agent that acts — reliably.

    FreeBeginner ~2h
    The Agent Loop: From Prompting to Agentic AI
    You know how to write a good prompt. This short, free course adds the next idea: the loop that turns a one-shot answer into an AI that acts, checks its work, and keeps going until the goal is met.
    Open course
    FreeBeginner ~0.5h
    AI Agents, Explained
    A free, plain-language intro to the hottest topic in AI — what agents are, what they can and can't do, and how to use them safely.
    Open course
    $29Beginner ~4.5h
    Build Your First AI Agent
    Go beyond chatbots. Build an AI agent that plans, uses tools, and gets real work done — starting with no-code tools anyone can use, and with the safety and reliability know-how the hype skips.
    Open course
    $29Intermediate ~6h
    Building Reliable AI Agents
    Design, build, and ship AI agents you can actually trust in production — loops, tools, guardrails, and evaluation.
    Open course
  5. 5

    Connecting Tools with MCP

    The standard for giving AI safe access to tools and data.

    $29Intermediate ~6h
    Building with the Model Context Protocol (MCP)
    Build, connect, and ship MCP servers — the open standard for giving AI models real tools and data.
    Open course
  6. 6

    Evaluation & Production

    Test, measure, and run reliable AI applications at scale.

    $29Advanced ~6h
    Building Production LLM Applications
    Ship real AI products — the stack, evaluation, guardrails, and operations that separate a demo from production.
    Open course
  7. 7

    Go deeper (optional)

    Specialize once the core path is solid.

    $29Advanced ~5h
    AI Safety & Red-Teaming
    Test, harden, and govern LLM systems against misuse and failure — prompt injection, jailbreaks, agentic risks, and the defense-in-depth reality that there is no single fix.
    Open course
    $29Advanced ~5h
    Fine-Tuning & Model Customization
    When and how to customize LLMs — prompting vs. RAG vs. fine-tuning, and the practical techniques (LoRA, QLoRA, SFT, DPO) — without the classic mistake of using fine-tuning to add facts.
    Open course
    $29Intermediate ~5h
    Voice & Conversational AI
    Build voice agents that feel natural — the STT→LLM→TTS pipeline vs. speech-native models, latency and turn-taking, and the cloning-fraud and disclosure law you can't ignore.
    Open course
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