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AI learning roadmap

Three routes, each ending in something you can do: recommend an AI system, propose a pilot, or ship an AI-assisted change. Shared foundations first, then one ordered route into your work.

THE ROADMAP

A clear next step, whatever you build.

One shared foundation. Three carefully ordered routes into your work.

Route 01 · Understand the technology

Make an AI system recommendation you can explain.

From the system to its mechanisms, then to evidence.

  1. STEP 01

    Get your bearings

    1. F01From tasks to AI systems
    2. F02Training, inference and adaptation
    3. F03Tokens and the cost of text
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: No AI prerequisites

    Start this step
  2. STEP 02

    Look inside the model

    1. F04Vectors, embeddings and similarity
    2. F05Prediction, sampling and uncertainty
    3. F06Attention, transformers and long inputs
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: token · model

    Start this stepRelated guide · 2026-W40 ↗
  3. STEP 03

    Connect systems to evidence

    1. F08Context, sessions and memory
    2. F09Tools, calls and execution
    3. F10Turns, workflows and agents
    4. F11Retrieval and grounded answers
    5. F12Building retrieval that finds evidence
    6. F14Evaluation as an engineering discipline
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: context · inference

    Start this stepRelated guide · 2026-W40 ↗Related guide · 2026-10-04 ↗
Route 02 · Make product decisions

Propose a useful pilot—and define how you will judge it.

Start with the foundations. Find a worthwhile problem, then test the value.

  1. STEP 01

    Build a shared foundation

    1. F01From tasks to AI systems
    2. F02Training, inference and adaptation
    3. F03Tokens and the cost of text
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: No AI prerequisites

    Start this step
  2. STEP 02

    Define and test the problem

    1. P01Discovering worthwhile AI problems
    2. P02Defining and testing an AI product
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: model · inference

    Start this step
  3. STEP 03

    Decide how to adopt it

    1. P03Adoption, economics and strategy
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: evaluation · user-job

    Start this step
Route 03 · Improve your coding workflow

Make an AI-assisted code change you can review and test.

Understand the system, steer the work, verify the change.

  1. STEP 01

    Start with the foundations

    1. F01From tasks to AI systems
    2. F02Training, inference and adaptation
    3. F03Tokens and the cost of text
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: No AI prerequisites

    Start this step
  2. STEP 02

    Read, change and test

    1. C01Reading and steering a codebase
    2. C02Testing, debugging and changing code
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: repository · diff

    Start this step
  3. STEP 03

    Ship with judgment

    1. C03Shipping software with AI assistance
    Concepts this step teaches

    No record on these yet. Your progress appears here as you read and explain.

    Before this step: unit-test · human-review

    Start this step