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Video course · 15 chapters · 325 min · certificate

Build AI Products Without a Coding Background

Become an AI product builder without coding: how LLMs work, APIs and prompts, building apps in Google AI Studio, reusable Gems and Claude skills, vibe coding, n8n automations, the POWER framework, and shipping a multi-model chatbot with GitHub, Supabase and Vercel.

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What you'll learn

  • Explain how LLMs are trained and where they fall short
  • Build working apps with Google AI Studio
  • Create reusable Gems, custom GPTs and Claude skills
  • Automate workflows with n8n
  • Find AI opportunities with the POWER framework
  • Ship a multi-model app with GitHub, Supabase and Vercel

Chapters

15 chapters · 324:54
  1. 22:27 01Intro Members Why AI builder skills pay What the masterclass covers, where AI really stands, and why AI building skills are valuable now.
  2. 20:39 02Foundations Members Use cases and how to learn Personal and business AI use cases, why it's still early, and the right way to learn generative AI.
  3. 16:36 03LLMs Members How LLMs are trained Pre-training on internet-scale data, vectors, and post-training with human feedback (RLHF).
  4. 21:42 04LLMs Members Attention, limits and agents Attention and GPUs, inference, a mental model for LLMs, their limits, system prompts, and agents that take action.
  5. 32:07 05Build Members APIs and your first app APIs and structured inputs, building apps in Google AI Studio, and the meeting cost and resume roaster challenges.
  6. 20:25 06Tools Members Design vocabulary and Gems Design words that make apps look distinctive, the AI leverage ladder, and reusable tools with Gems.
  7. 22:55 07Tools Members Human plus AI, GPTs and skills The human-plus-AI mindset, a resume Gem, custom GPTs, switching costs and Claude skills with progressive loading.
  8. 16:33 08Build Members Skills and vibe coding Installing and creating Claude skills, then level three: vibe coding basics.
  9. 19:40 09Build Members Publishing and automation platforms AI Studio inputs, design inspiration, precise edits and publishing, then level four: automation platforms.
  10. 27:37 10Automation Members n8n, APIs and the POWER framework Building n8n nodes, setting API keys, debugging with AI, learning tools by use case, and the POWER framework.
  11. 20:10 11Strategy Members Finding opportunities Turning possibilities into opportunities in your own work, a workflow deep dive, and customer discovery.
  12. 12:12 12Stack Members The ultimate builder workflow Owning your stack: build a multi-model chat platform and export code to GitHub for control.
  13. 26:56 13Build Members Building a multi-model chatbot GitHub Desktop, a coding agent, the core product stack, unified LLM access and plan mode.
  14. 18:07 14Build Members Supabase, demo and analytics Iterating and fixing errors, Supabase keys, a live multi-model demo, and workflow analytics.
  15. 26:48 15Deploy Members Deploy and think bigger Source control with GitHub, deploying on Vercel, the architecture recap, and thinking bigger with AI.

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.

No-Code DevelopersProduct ManagersProcess Improvement AnalystsChief Product Officers (CPOs)Innovation StrategistsFoundersIndependent ConsultantsE-commerce ManagersGlobal Heads of OperationsHeads of OperationsManager of OperationsUser Experience (UX) Designers