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Architecting Agentic Systems with Claude: The Complete Course - From Your First Conversation to Tools, MCP, and Knowledge
Paperback
Series: Architecting Agentic Systems with Claude, Book 1
Publisher: Independently Published
Published: Sep 23 2026
Pages: 690
Weight: 2.59
Height: 1.38 Width: 7.00 Depth: 10.00
Language: English
You already know how to talk to Claude. You phrase a request, read the answer, refine it - and the result is often good enough. Between that and a system that carries multistep work through to the end, by itself and under your control, lies an engineering discipline. This book teaches it.
An agentic system is not a metaphor. It is a program that chooses its own actions and their order to reach a goal: the model is its thinking, tools are its hands. Volume 1 gathers every part such a system is built from, and tests each one against a single worked example - a customer request desk you build chapter by chapter.
What you will be able to do- Turn a vague request into a task contract with measurable acceptance criteria
- Build an eval set before you optimize, and prove quality by measurement instead of impression
- Write prompts as executable specifications, and spend context as the budget it is
- Choose a model class by the cost of a solved task, not by a leaderboard
- Call Claude from your own code: messages without hidden state, answers shaped by a schema, prompt caching, safe retries
- Give the model hands - tools with contracts, MCP servers, Agent Skills, hooks, plugins and subagents
- Give it knowledge - retrieval with citations you can check, and memory that outlives the conversation
Every topic reads on its top layer in plain words and is still accurate. The rigorous layer - protocols, contracts and code - sits underneath, in boxes you can skip on a first pass. The opening chapters need no programming at all. Two bridge chapters then build the technical ground from scratch: the terminal, Python, HTTP, Git and a minimal service. After that the book assumes only what it has already taught.
Who it is forAnalysts, managers, researchers and writers who already work with Claude and want to automate that work without code - and developers and architects who need a systematic picture of the Claude ecosystem and the discipline of measuring quality. No machine learning background is assumed.
InsideTwenty-two chapters, six appendices, a running project carried end to end, and problems and a lab at the end of every chapter. Volume 2 continues: agent frameworks, orchestration, multi-agent teams, evaluation, security and operations.
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