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  • MODULE 1
    Foundations & Building Blocks of Modern LLMs

    Core math, tokens, and architectures that power today’s AI systems

    • LESSON 1.1Technical Orientation (Python, Numpy, Probability, Statistics, Tensors)
    • LESSON 1.2How to Use Google Colab Exercises
    • LESSON 1.3Introduction to Building an LLM
    • LESSON 1.4Tokens and Embeddings
  • MODULE 2
    Multimodal Intelligence, Core Networks and the Power of Attention

    How neural networks learn, align modalities, and reason with attention

    • LESSON 2.1Multimodal Embeddings
    • LESSON 2.2Neural Network Fundamentals
    • LESSON 2.3Attention Layer
  • MODULE 3
    Advance Context engineering

    These are the steps for context engineering, synthetic data, evaluations, prompts, and RAG.

    • LESSON 3.1Synthetic Data
    • LESSON 3.2Advanced Prompt Engineering
    • LESSON 3.3Advanced RAG
  • MODULE 4
    Fullstack Planning

    Create a masterplan that contains all the information you'll need to start building a beautiful and professional application

    • LESSON 4.1Stop Watching If You Lack These 2 Things
    • LESSON 4.2Why Do You Need A Workflow?
    • LESSON 4.3Trigger Warning
    • LESSON 4.4What's The Plan?
    • LESSON 4.5Step 1 - The Role
    • LESSON 4.6Step 2 - The Wish
    • LESSON 4.7Step 3 - The PRD
    • LESSON 4.8Step 4 - The Phase 1
    • LESSON 4.9Step 5 - The User Journey
    • LESSON 4.10Step 6 - The Politically Incorrect Sorting
    • LESSON 4.11Step 7 - The UI Development Plan
    • LESSON 4.12Step 8 - The Vibe
    • LESSON 4.13Step 9 - The UI Flow
    • LESSON 4.14Step 10 - The Design System
    • LESSON 4.15Step 11 - The Storage
  • MODULE 5
    Vibe Coding Entire Application

    Learn the basics of Bolt and build a web app MVP in an hour (or less)

    • LESSON 5.1Your Life 1 Hour From Now
    • LESSON 5.2The 4 Things You Need To Know About Bolt
    • LESSON 5.3The Most Important Part Of Coding With Bolt
    • LESSON 5.4The Second Most Important Part Of Coding With Bolt
    • LESSON 5.5How To Write Your App's First Prompt
    • LESSON 5.6How To Build Your MVP Feature-by-Feature
    • LESSON 5.7How To Add A New Screen To Your App
    • LESSON 5.8How Does Bolt Handle Abstraction?
    • LESSON 5.9Finalizing The App + Next Steps
  • MODULE 6
    Supabase + Bolt

    How to Connect, Code & Debug Supabase With Bolt

    • LESSON 6.1Recap
    • LESSON 6.2What You'll Learn
    • LESSON 6.3What Is Supabase?
    • LESSON 6.4Supabase > Firebase
    • LESSON 6.5How To Connect Bolt With Supabase
    • LESSON 6.6Adding Authentication
    • LESSON 6.7How To Make Bolt Use 5x Fewer Tokens & Execute 5x Faster
    • LESSON 6.8How To Debug Your App
  • MODULE 7
    Rapid Deployment

    How To Deploy Apps Faster Than Ever With Netlify

    • LESSON 7.1Read This Or Get Confused
    • LESSON 7.2Lesson 1 - The Philosophy You Need To Adopt
    • LESSON 7.3Lesson 3 - How Netlify Blows The Competition Out Of The Water
    • LESSON 7.4Deployment 2 - File System + Netlify UI
    • LESSON 7.5Deployment 3 - File System + Netlify CLI
  • MODULE 8
    Automation with n8n

    Building AI-Powered Workflows

    • LESSON 8.1Getting Started with n8n: Your First Step to AI Automation
    • LESSON 8.2Exploring AI Integration for Smart Automation
    • LESSON 8.3Step-by-Step Workflow
    • LESSON 8.4Planning an App and Setting Up Your n8n
    • LESSON 8.5Launching n8n and Exploring the Interface
    • LESSON 8.6Create Your First n8n AI Workflow
    • LESSON 8.7Completing Your AI Agent by Adding Tools to It
    • LESSON 8.8Enhancing Your AI Agent with Custom HTTP Tools
    • LESSON 8.9Wrapping Up Your n8n AI Agent and Exploring Next Steps
  • MODULE 9
    MCP on Practice

    The Future of AI Agents

    • LESSON 9.1Introduction to MCP and Its Role in the Future of AI Agents
    • LESSON 9.2Understanding MCP’s Architecture
    • LESSON 9.3Diving Into MCP Servers and a Workflow Example
    • LESSON 9.4Building Your First MCP Server – Let’s Get Coding!
    • LESSON 9.5Connecting Your MCP Server to Claude for Desktop
  • MODULE 10
    AI for Career

    Beat the AI Filter, a short course that looks at how AI is used in hiring and how you can stand out in this competitive landscape.

    • LESSON 10.1Beat the AI Filter - Introduction
    • LESSON 10.2The AI Hiring Landscape
    • LESSON 10.3A Look at ATS (Aplicant Tracking Software)
    • LESSON 10.4The Fundamentals of a Strong CV
    • LESSON 10.5How to Get Past AI Filters
    • LESSON 10.6R-Strategists and K-Strategists
    • LESSON 10.7What about AI?
    • LESSON 10.8Example of an AI CV
    • LESSON 10.9Conclusion
  • MODULE 11
    Extra materials

    Extra materials

    • LESSON 11.1Extra materials
    • LESSON 11.2Orientation Session 1
    • LESSON 11.3Orientation Session 2
    • LESSON 11.4Additional Discussion on RAG: Emphasis on Systemic Way of Approaching/Experimenting RAG Application
    • LESSON 11.5AI in Production
    • LESSON 11.6AI Agents Patterns
    • LESSON 11.7A Glimpse into our Group Coaching Calls 1
    • LESSON 11.8A Glimpse into our Group Coaching Calls 2
    • LESSON 11.9A Glimpse into our Group Coaching Calls 3
    • LESSON 11.10A Glimpse into our Group Coaching Calls 4
    • LESSON 11.11A Glimpse into our Group Coaching Calls 5
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LESSON 1.2How to Use Google Colab Exercises
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    How to Use Google Colab Exercises
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