AI Solution Architect
Design and defend AI-powered enterprise solutions. Eight capabilities, from the foundations to the architecture decisions you have to justify in front of other people. QuantumRead's own route, not a certification syllabus.
Free, no account needed. The check tells you which of these you can already do.
Click a topic to read what it is. Click its box to mark it Learning, Done or Skipped - your own note, kept in this browser. QuantumRead counts evidence separately, and only from what you have proved.
What the technology is, in the words the rest of the route uses.
Proved by: Explain it
How the model behaves, and how its behaviour is shaped.
Proved by: Explain it
Grounding answers in the organisation's own sources.
Proved by: Design it, Build it
Agentic loops, tool use and where a person must approve.
Proved by: Design it
Serving, latency, token cost, caching, limits and fallback.
Proved by: Design it, Build it
Governance, privacy, injection and evaluation in production.
Proved by: Defend your decisions
Boundaries, residency, access, build versus buy and lifecycle.
Proved by: Defend your decisions
Putting it together: model choice, orchestration, guardrails, observability.
Proved by: Design it, Defend your decisions
Where to learn this
Everything opens in a new tab. The licence is printed beside each one, because a link is not permission to copy.
Learn itCourses, free to read
Run itRepositories you can clone
Look it upDocs and specifications
- Effective context engineering for AI agents (Anthropic)Proprietary, all rights reserved (Anthropic)
- Building effective AI agents (Anthropic)Proprietary, all rights reserved (Anthropic)
- Model Context Protocol specificationApache-2.0 (spec and code); CC BY-4.0 (documentation)
- AWS Well-Architected Machine Learning LensProprietary, all rights reserved (Amazon Web Services)