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Video course · 15 chapters · 359 min · certificate

Claude Code for Non-Coders: Build AI Agents with Plain English

Go from beginner to AI native with Claude Code: context over prompts, projects and connections, skills, memory, sub-agents, websites, a second brain, automations and token management, all in plain English.

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What you'll learn

  • Explain models versus context and the AI-native mindset
  • Set up Claude Code projects with CLAUDE.md and settings
  • Connect tools safely with API keys, CLIs and MCPs
  • Build skills, sub-agents and a second brain
  • Build, clone and deploy websites
  • Schedule automations and manage tokens

Chapters

15 chapters · 358:59
  1. 14:52 01Foundations Members From beginner to AI native What Claude Code is (chat, Cowork, Code), models versus context, and the mindset shifts of AI-native builders.
  2. 23:26 02Basics Members Context engineering and first builds Why context engineering beats prompt engineering, building taste through iteration, and first prompts with local files.
  3. 21:48 03Setup Members Prompts, tokens and projects Verifying outputs, understanding tokens and model choice, and setting up a project with CLAUDE.md and settings.json.
  4. 25:02 04Connections Members Connecting tools safely API keys in .env files, permission modes, scoped keys and privacy, and an AI operating system.
  5. 31:05 05Skills Members Google Workspace and skills Connecting Gmail, Calendar, Sheets and Docs via a CLI versus MCP, then a deep dive into skills.
  6. 15:22 06Memory Members Context window and memory What fills the context window, handing off sessions cleanly, and building memory as a second brain.
  7. 20:06 07Strategy Members Constraints and sub-agents Map the process, fix the constraint, pick a north-star metric, and use sub-agents with fresh context.
  8. 21:30 08Sub-agents Members Building a sub-agent Building a plan-roasting sub-agent, deciding when sub-agents help, and project versus global scope.
  9. 17:43 09Websites Members Building and cloning websites Using a front-end design skill to build and clone websites that don't look generic.
  10. 25:21 10Deploy Members Deploying and trusting output Publishing local sites with GitHub and Vercel, and the AI systems pyramid for trusting results.
  11. 20:13 11Knowledge Members Building a second brain Turning your content into a queryable knowledge base that reveals patterns across tools and ideas.
  12. 35:22 12Knowledge Members Five levels of a second brain From exact lookup to semantic search, relationship chains and knowledge graphs, plus the grill-me skill.
  13. 31:13 13Automation Members Agent teams and scheduled routines Sub-agents versus agent teams with shared task lists, and scheduled automations in the cloud.
  14. 24:10 14Automation Members A research automation Building a research automation, and when a routine beats a live session.
  15. 31:46 15Efficiency Members Tokens and prompt caching How tokens work, avoiding context rot and bloat, and using prompt caching to stretch sessions.

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.

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