Claude Solution Architecture
Solution architects, tech leads, and senior engineers responsible for Claude systems end to end
Prerequisites: Module 33 or equivalent API experience. Module 20 helps for the agentic patterns.
Last verified 2026-07-10
Executive summary
You will learn how to design a Claude solution end to end: platform choice, architecture pattern, evaluation, cost model, and safety plan — the five decisions every deployment stands or falls on. End state is a completed architecture one-pager for a real use case from your organisation, defensible in front of both engineers and a steering committee. After this module you can choose between the Claude API, Bedrock, and Vertex deliberately, pick the simplest architecture that meets the requirement, and put numbers on quality and cost before go-live. This is the ground Anthropic's Claude Certified Architect exams cover.
Learning objectives
- Choose a deployment platform — Claude API, AWS Bedrock, Google Vertex — from data residency, procurement, and ops constraints
- Pick the right architecture pattern: single call, workflow, RAG, tool-using agent, multi-agent — and default to the simplest that works
- Design an evaluation strategy: golden sets, LLM-as-judge, regression gates before prompt changes ship
- Build a cost model: token math, caching, model tiering, and where the real money goes
- Plan for safety and governance: guardrails, human-in-the-loop points, data handling, failure modes
Prefer the live room?
This module also runs inside our in-person bootcamps and workshops in Copenhagen.
Rolling this out across an organisation?
We run this material as executive briefings and team programmes — tailored to your stack, your data policies, and your pace.