
Meet the instructor, explore the course structure, and see how the training supports your Claude certification goals.
Review the exam structure, question format, timing, and key expectations for successful preparation.
Explore the six production scenarios that define the practical skills assessed in the certification exam.
Compare Claude’s main platforms and frameworks to determine where each one fits in real-world AI development.
Discover the ShopAssist AI project you will build and improve throughout the course.
Learn how large language models process context, predict tokens, and generate responses.
Send your first Claude API request and interpret its essential parameters and response fields.
Maintain conversational context by sending previous messages with each new API request.
Create reusable helper functions and a continuous chat loop for managing Claude conversations.
Control Claude’s behavior using system prompts, clear rules, and application-level safeguards.
Configure models and generation settings to produce more predictable and task-appropriate responses.
Build a repeatable workflow for testing prompts against representative inputs and expected results.
Evaluate Claude outputs using automated checks, model-based grading, and human review.
Improve response quality with direct instructions, explicit constraints, and structured XML prompts.
Learn how retrieval-augmented generation supplies relevant information before Claude produces an answer.
Guide Claude with clear success criteria and carefully selected examples of expected outputs.
Define tool schemas, control tool selection, and implement your first tool-calling workflow.
Generate consistent structured data using tool calls, JSON schemas, and explicit tool selection.
Improve reliability with validation rules, retry logic, confidence checks, and human oversight.
Process multiple inputs efficiently and improve results through staged generation and review.
Build a ShopAssist workflow that converts customer return messages into validated structured data.
Implement the complete loop for receiving tool requests, executing functions, and returning results to Claude.
Create focused tools with clear schemas and structured errors that Claude can interpret and recover from.
Configure tool permissions, built-in capabilities, and MCP servers for secure system access.
Connect ShopAssist to backend tools and MCP services for real-world task execution.
Create a coordinator that assigns tasks to specialized subagents and provides the required context.
Break complex goals into smaller tasks and control execution with hooks, gates, and handoff rules.
Manage persistent state, parallel branches, temporary notes, and workflows with large context requirements.
Transform ShopAssist into an agentic system that delegates, coordinates, and completes multi-step tasks.
Configure project instructions, reusable rules, and memory to guide Claude Code across development tasks.
Manage long coding sessions using resume, compact, forks, and scratchpads.
Use commands, reusable skills, plan mode, and iterative refinement to improve coding workflows.
Integrate Claude Code into CI/CD pipelines and use independent review to detect issues before deployment.
Review the core reliability patterns and connect them to the exam domains and production scenarios.
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.