Dominic Norton

product expert, speaker, educator

Codex Fundamentals: From Ideas to Execution

1st Formations

BlueOptima

CodeBase

digital transformation professional, speaker, educator

Use structured frameworks to identify market gaps and develop high-potential business ideas.

Generate Opportunities Using Proven Frameworks

Create simple prototypes to validate ideas with real users and feedback.

Build and Test Ideas Quickly

Use Codex to build, test, and deploy applications faster.

Leverage OpenAI's Codex to Deploy

A framework to drive business value with AI. Cut through the hype and lead your teams with confidence and reliability (No coding needed)

Top 1% AI Expert, @Microsoft, @Google

Priyanka Vergadia

Cohort Fall 2025

Cohort Summer 2026

AI is moving fast. This course helps you keep up and actually ship something.Most AI projects don't fail because the technology is too hard. They fail because nobody had a clear framework for making decisions: which model to pick, when to fine-tune, how to get Agentic AI system into production. This course fixes that.You'll walk away with a 4-step framework to build AI projects confidently and responsiblyWhat you'll be able to do:<ul><li>Build GenAI systems that scale, using a framework you can repeat</li><li>Make confident calls on models, infrastructure, and fine-tuning</li><li>Weigh cost vs. performance before you commit</li><li>Drive AI projects that actually deliver</li></ul>Four modules:<ol><li>GenAI foundations How transformers and LLMs work, and why AI behaves differently from the software you're used to.</li><li>Framework for production AI Pick the right use case, choose a model, and navigate fine-tuning, RAG, and MCP without going in circles.</li><li>AI agents at scale Design agentic workflows and build systems that hold up in the real world, not just in a notebook.</li><li>Project Architect a complete multi-agent AI solution for something real and fun.</li></ol>For engineers, managers, and everyone in between. The bar is rising, this is how you clear it.

The Only AI Bootcamp Built for Everyone - Curiosity Required, Code Optional

AI Foundations & Mental Models

Lead AI initiatives that deliver measurable business impact

Prototype with AI: Software Development for Non-Developers

AI Product Management & Implementation

AI Agents & Automation at Scale

AI Evals, Ethics & Governance

For anyone who wants to understand AI: no CS degree, no coding experience, no prior knowledge required

For people who make decisions about AI tools, budgets, or strategy and want to do it with confidence

For professionals in any field HR, marketing, finance, operations, design, construction etc who know AI matters and want to stop guessing

Learn the essential technical concepts you need to build real projects with AI

AI Product Leader & AI Coding Educator

MongoDB

Timescale

YouTube

Princeton University

Avthar Sewrathan

AI Product Leader & AI Coding Educator | MongoDB, Timescale, VC-backed founder

June 27

The technical foundations are what separate people who build real things with AI from people who stay stuck at demos.AI coding tools like Claude Code and Codex gave everyone the power to build. But many people are stuck on the sidelines. They're intimidated by the technical jargon and unfamiliar tools (the terminal?!). Or they've built a prototype that got stuck when they needed to add the 5th feature or share with users. The fix isn't writing code by hand or better prompting. It's understanding the handful of technical concepts behind every real app, how the pieces fit together, and which tools to build with and why.This 1 day workshop gives you those foundations. You'll leave with:✅ An architecture map for your next project ✅ An agent-ready spec to give to Claude / Codex ✅ Beginner friendly tech stack, Skills &amp; MCP library, and security + production checklistsWhat makes this workshop different:<ul><li>It's AI-first. You'll learn every concept through the lens of building with coding agents.</li><li>It's hands-on and personalized. You'll create a spec for a real project you want to build.</li><li>It's for non-technical/ semi-technical builders so you'll learn practical knowledge, not academic theory.</li></ul>

A hands-on deep dive into the essential technical concepts that separate AI-native builders from tinkerers

How software applications actually work

The AI Native Toolkit for building

How to Architect Your App for Success

How to Ship Your App to Real Users

Security basics to ship safer

Repeatable AI-native workflows for building

We'll use Claude Code and Codex as the tools we work with in the course

Claude Code or Codex subscription

Come with a real project idea you want to architect and create a spec for. It can be as simple or ambitious as you'd like!

A project idea

Non-technical and semi-technical operators in marketing, sales, product, ops, who want to build real projects with Claude Code and Codex

Founders and business owners who want to build products themselves, without outsourcing or waiting on a dev team.

People who have tried vibe coding but hit a technical wall and want the foundations to push through next time.

Decide what’s worth building, then test it fast with AI

Build the right things, fast with AI

JustGiving

Lightful

Jonathan Waddingham

CPO (Lightful) | Built £100m+ product @ JustGiving | AI product leader

Founding cohort

AI has made it faster than ever to build things.But it hasn’t made it easier to decide what’s worth building.So teams end up with lots of ideas, quick prototypes, and very little confidence in what to actually ship.This workshop fixes that.In two hours, you’ll take a real idea and:<ul><li>shape it into something testable</li><li>build a working prototype using AI</li><li>design a simple validation plan</li><li>and practice pitching it clearly</li></ul>You won’t just learn about AI.You’ll use it to turn an idea into something you can show, test, and get buy-in for immediately.

Go from vague product ideas to evidence-backed decisions, using AI to prototype, test and learn in hours, not weeks.

Turn ideas into testable hypotheses

Build a working prototype with AI

Explore better solutions faster

Create a fast validation plan

Pitch ideas with confidence

Build a repeatable learning loop

Come with a problem or idea you want to explore, and a basic product mindset (PM, founder, or similar).

Bring a real idea to test

Set up access to a tool like Replit, Lovable, Claude Code or Codex. Be ready to use a paid tier so you can build without limits.

Be ready to build with AI tools

Product managers who have ideas but no clear way to validate them

Product Leaders who need to decide what’s worth building before committing team time

Startup founders with early concepts they haven’t tested with real users

Go from idea-stage confusion to clear positioning, traction systems, and confident founder execution. Earn a cohort that builds with you! 

3x Founder | Ex-Google | AI Builder

Vidya Narayanan

Co-Founder & CEO at FinalLayer, Co-Founder at Rizzle, Ex-Google, Building in AI

Founder Coach | 2x Founder | Investor

Good Eggs

Julian Nachtigal

Executive Coach, Operator, Founder, Angel Investor (Figure AI, multiple exits) 

Early-stage founder cohort with live sessions, feedback, accountability, and peer support.

The Founder Launchpad - Cohort 1

Most founders don’t fail because they lack ambition. They fail because they spend months building without clarity, distribution, or real user insight.The startup playbook has changed. AI has lowered the barrier to building, but the bar for positioning, distribution, and execution is now much higher. Founders today need faster feedback loops, stronger narratives, and systems that create traction early.This cohort is designed for early-stage founders navigating that exact challenge.Over 6 weeks, you’ll work through the core decisions that shape startup outcomes: positioning, MVP design, user discovery, pricing, GTM, fundraising, hiring, and scaling. You’ll learn directly from operators who’ve built companies, raised capital, scaled products, and worked inside high-growth startups.This is not a passive course full of theory. You’ll leave with frameworks, weekly deliverables, live feedback, and practical systems you can immediately apply to your startup.Every cohort member will also get to discuss their biggest challenges and get actionable help. You won’t just learn startup concepts. You’ll actively build momentum toward traction. And you'll leave with a cohort to keep.

Build alongside a cohort, from idea to traction, with proven founder systems. 

Foundations, Positioning & Narrative

MVP, Discovery & Co-founder

Traction, Pricing & Growth

Content as GTM

Fundraising & Founder Finance

Hiring, Sales & Scaling

Early-stage founders building from idea to traction who need clarity on positioning, MVPs, GTM, and growth.<h3></h3>

Technical builders and solo founders struggling with distribution, messaging, and acquiring their first users.<h3></h3>

Operators, creators, and aspiring founders transitioning into startups and looking for practical startup systems and execution frameworks.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Startup founders building new businesses, from MVP to scale.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building prototypes and MVPs to test ideas quickly before committing to full development.

Using AI coding assistants and tools to write, review, and ship code faster.

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.