Video course · 12 chapters · 22 min · certificate
Build AI Agents in Claude: A No-Code Guide to Automation
AI Master's no-code guide to building agents in Claude: what makes a real agent, setting up a workspace and CLAUDE.md, planning before execution, how agent systems are structured, building and running a research agent and a repurposing agent, the five mistakes that kill workflows, and how to grow your agent stack.
What you'll learn
- Explain the difference between chatting with Claude and running an agent
- Set up a project workspace with a CLAUDE.md file
- Make the agent plan and ask questions before executing
- Design a workflow file, coordinator and tool set
- Build a research agent and a content repurposing agent
- Avoid the five common workflow mistakes and expand step by step
Chapters
12 chapters · 22:07-
3:05
01Basics Members
What an AI agent actually is
Beyond the search engine.
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1:27
02Principles Members
The three things that make an agent real
Process, reasoning, clarification.
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1:06
03Setup Members
Setting up your workspace
Your agent's office.
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2:33
04CLAUDE.md Members
CLAUDE.md — the file that changes everything
Onboarding for your AI.
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2:02
05Planning Members
The habit that makes or breaks results
Plan before execute.
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1:51
06Architecture Members
How agent systems are structured
Three components.
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1:47
07Research agent Members
Building your first real workflow
Design the system first.
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1:31
08Run Members
Running the agent on a live task
Watch it work.
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1:04
09Refine Members
Iterating on the output
Persistent context.
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1:27
10Repurposing Members
Building a second workflow
One script, many outputs.
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2:19
11Mistakes Members
The five mistakes that kill agent workflows
Skip the frustration.
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1:55
12Growth Members
Expanding your agent stack over time
One workflow at a time.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.