Claude Certified Architect - Professional

Own the full lifecycle of secure, observable, production-grade Claude systems from discovery to iteration. Mid- to senior-level solution architects, AI engineers, technical leads, and senior software engineers responsible for end-to-end production systems and cross-functional decisions. Three or more years in systems architecture or platform engineering Six or more months operating Claude or comparable LLM systems in production Experience delivering systems from discovery through deployment and operations Ability to defend cost, latency, quality, safety, and maintainability tradeoffs Solution Design and Architecture Translate business problems into Claude solutions Design input, processing, output, and feedback loops Choose workflow, agentic, or augmented-LLM patterns Design multi-agent orchestration Decompose complex problems Align designs to value, cost, performance, and SLAs Claude Models, Prompting and Context Engineering Select models from explicit tradeoffs Design prompts, templates, and guardrails Apply zero-shot, few-shot, and reasoning techniques Manage context windows and token use Reuse stable prompts with caching, modular prompts, and Skills Integration Reduce capability bloat Find authentication and authorization gaps Balance accuracy and latency Select observability at scale Design RAG chunking and indexing Match retrieval to data shape and query pattern Choose MCP, API, CLI, or agent-to-agent integration Use progressive discovery instead of monolithic context where appropriate Evaluation, Testing and Optimization Define accuracy, latency, cost, safety, and security metrics Build representative datasets and mixed-method test frameworks Run A/B tests and iterative…

Claude Certified Architect - Professional: Own the full lifecycle of secure, observable, production-grade Claude systems from discovery to iteration.

This free community study path organizes 25 practical lessons in a deliberate order, then connects them to original diagnostics and practice. It does not issue a credential or reproduce protected exam questions.

Lessons in this path

1. Study the Decisions, Not the Vocabulary
2. Business Discovery, Requirements, and SLAs
3. End-to-End Architecture and Value Tradeoffs
4. Choose the Smallest Surface That Can Carry the Work
5. Spend Capability Where Failure Is Expensive
6. Turn a Request Into a Testable Contract
7. Put Each Fact in the Right Kind of Context
8. Validate the Claim, Not the Confidence
9. Put Authority Around Capability
10. The Messages API Is a State Machine
11. Structured Output Is an Untrusted Contract
12. A Tool Loop Is Controlled Delegation

13 more lessons continue in the interactive track.