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Claude Certified Architect Foundations: Complete Course
New
14 students

Claude Certified Architect Foundations: Complete Course

Pass the Claude Architect exam and build production-style AI apps with tools, agents, MCP, Claude Code, and evals.
Last updated 7/2026
English

What you'll learn

  • Build Claude-powered applications using the API, system prompts, multi-turn context, tools, and structured outputs.
  • Design reliable prompts with clear instructions, XML structure, examples, evaluation datasets, and grading workflows.
  • Implement tool use, backend function calls, MCP-style integrations, and agentic loops for real application workflows.
  • Architect multi-agent systems with coordinators, subagents, context passing, hooks, gates, and structured handoffs.
  • Use Claude Code effectively with CLAUDE, rules, memory, sessions, commands, skills, plan mode, and CI/CD review.
  • Apply production reliability patterns including validation, retries, human review, escalation, provenance, and error handling.
  • Prepare for the Claude Certified Architect - Foundations exam by mapping ShopAssist AI to all major exam domains.

Course content

7 sections34 lectures3h 28m total length
  • Welcome: Who I Am and Who This Course Is For3:38

    Meet the instructor, explore the course structure, and see how the training supports your Claude certification goals.

  • Exam Format5:20

    Review the exam structure, question format, timing, and key expectations for successful preparation.

  • Six Official Production Scenarios4:15

    Explore the six production scenarios that define the practical skills assessed in the certification exam.

  • Claude App vs API vs Agent SDK vs Claude Code vs MCP4:48

    Compare Claude’s main platforms and frameworks to determine where each one fits in real-world AI development.

  • Course Project: Building ShopAssist AI2:50

    Discover the ShopAssist AI project you will build and improve throughout the course.

  • What an LLM Actually Does7:31

    Learn how large language models process context, predict tokens, and generate responses.

Requirements

  • No prior Claude API experience is required. The course starts with the first API request and builds toward production patterns.
  • Basic Python knowledge is recommended. You should be comfortable reading simple functions, dictionaries, lists, and API calls.

Description

This course contains the use of artificial intelligence.


Prepare for the Claude Certified Architect - Foundations exam while building a practical Claude-powered application from the ground up.


This course is designed around the major architecture skills tested in the certification exam. Instead of only memorizing concepts, you will build ShopAssist AI, a realistic customer support assistant for an online store. The project starts with the Claude API basics and gradually evolves into a production-style AI system with prompts, multi-turn context, structured outputs, tools, MCP concepts, agentic workflows, Claude Code, and reliability patterns.


The course covers all major certification domains:

  • Domain 1: Agentic Architecture and Orchestration. You will learn agentic loops, coordinators, subagents, task decomposition, hooks, gates, handoffs, session state, and context management for long-running workflows.

  • Domain 2: Tool Design and MCP Integration. You will learn how to design tools, write clear tool schemas, manage tool access, handle structured errors, and understand MCP tools, resources, and configuration.

  • Domain 3: Claude Code Configuration and Workflows. You will learn CLAUDE, rules, memory, sessions, resume, compact, forks, scratchpads, commands, skills, plan mode, and CI/CD review workflows.

  • Domain 4: Prompt Engineering and Structured Output. You will practice system prompts, clear instructions, XML-style structure, few-shot examples, tool-based structured output, validation, retries, evals, and grading workflows.

  • Domain 5: Context Management and Reliability. You will learn escalation patterns, human review, confidence handling, provenance, uncertainty, structured error propagation, and production reliability tradeoffs.


By the end of the course, you will understand how the exam topics connect to real Claude application architecture. You will also have a complete mental model for designing Claude-powered systems that are practical, testable, and closer to production-ready.

Who this course is for:

  • Software engineers and solution architects preparing for the Claude Certified Architect - Foundations exam.
  • Developers using or evaluating Claude Code for project configuration, code review, team workflows, and CI/CD automation.
  • AI application builders who want production patterns for validation, retries, human review, escalation, and reliability.
  • Backend developers who want to connect Claude to real systems using tools, MCP-style integrations, and safe application logic.