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Positioning

The AI Architect Roadmap

Eight rungs from foundations to enterprise AI, with an honest map of what this site covers deeply, where it is strong, and where the gaps still are.

8 of 8 rungs covered by the writing here. The flagship is rung 7, observability and cost, where the depth is deepest.

The AI Architect Roadmap drawn as a vertical timeline of eight rungs, Foundations through Enterprise Solutions. Rung 7, Observability and Cost, is the flagship in gold. Rungs 1, 2, 3, 4 and 6 are covered in blue, and rungs 5 and 8 are strong in green.

  1. Foundations

    Covered

    The Python and tooling that actually matter in production, reframed for working engineers rather than taught as an intro course.

  2. Learn AI & ML

    Covered

    The machine learning you need to operate LLMs, not train them: tokenisation, context windows, and the production knobs that move cost and behaviour.

  3. Master GenAI

    Covered

    Prompting, RAG, tools, and the SDKs that wire an agent together on Bedrock.

    Skill Up Skill Up: fine-tuning on Bedrock, from first principles. Which of its four job types actually fits, taught with a quiz and cue cards.

  4. Design AI Systems

    Covered

    Architecting agents that survive contact with production: intent versus state, the harness that bounds a runaway loop, and the boundary the model never gets to cross.

  5. Build AI Infrastructure

    Strong

    The infrastructure around the model: CDK, containers, local development, CI/CD with OIDC, and the cost controls baked in from the start.

  6. Security & Governance

    Covered

    The controls that actually hold: deterministic authz boundaries in code the model never touches, guardrails as a backstop, and credential-free deploys.

  7. Observability & Cost

    ★ Flagship

    Where the depth is. Measuring what the probabilistic layer hides: runaway cost while the dashboard stays green, caching that ships off by default, latency that is not model speed, and a memory write that reads back empty.

    Skill Up Skill Up: why an AgentCore Memory write that returns 201 can read back empty for 15 to 30 seconds, and the three read paths with three different consistency guarantees. Quiz and cue cards included. Skill Up Skill Up: an agent can pass every health check while burning a six-figure annual run rate. The five conditions that defeat a loop’s exit, and the two-instrument alarm pattern that catches it in minutes.

  8. Enterprise Solutions

    Strong

    Production builds a business can actually adopt: an org-aware DevOps agent, a support assistant, and a study system that survived an architecture pivot.

Building on AWS and want a second set of eyes on where you sit on this ladder? Read the field notes, or get in touch.