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Chatting endlessly with an “AI intern” instead of designing the context with clear principles.
Blaming “hallucinations” when the real issue is poor orchestration.
Trying to run an entire project from a single, overloaded chat window.
Treating AI like witchcraft and prompt spells instead of engineering.
AI gets better every day. But when it’s time to ship something serious, you don’t yet have a reliable way to make AI show up for you.
The problem isn’t AI. It’s how you’re using it.
This course exists for that exact gap.
AI is a new computing paradigm. To use it well, you have to:
Unlearn old patterns
Install new mindsets and habits
Build a meta-learning system that can carry your career for the next 20 years
That's hard, and we take it seriously.
This course is designed to teach you how to fish. On top of lessons and projects, we built two unique tools:
A build platform that consolidates key APIs and lets you deploy your projects with one command—so you can build fast, not fight boilerplate.
A lifetime community where you can share projects, ask questions, and get unstuck long after the course ends.
The end of our course is the beginning of your learning, and we will be with you.
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I’m Head of AI at a startup building the future AI-powered revenue platform for GTM teams. I'm also a lecturer at Stanford, where I created and teach \"The Modern Software Developer\", the university's first course on AI software development.
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My goal is simple: make you dramatically more productive writing software with AI than without it.
In this course, you'll learn practical, end-to-end workflows for using AI in real-world development, not toy examples.
We'll cover:
Building production features with AI agents using the research → plan → implement → test workflow
Configuring an optimal AI native dev environment for your specific tech stack (IDE, code review, tool integrations, and beyond)
Setting up review and CI processes that catch AI errors, hallucinations, and slop before production
Enabling multiple agents to work together on the same codebase without conflict, accelerating software delivery and throughput
If you're ready to write better code, ship to production faster, and stay in control of your coding agents, let's get started.
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Product leader with hands-on experience applying AI to real product work.
Learn more about Valerio: visit my website
Using AI in product management is not just about getting better at ChatGPT. It's about leveraging AI across the product development life cycle (PDLC) to accelerate, expand, and simplify what's possible, with AI super powers.
Over two weeks, you’ll learn - by doing - how to use AI to:
Understand how AI works, when to use it, and possible risks for PMs
Create synthetic users and run discovery interviews with AI tools
Use vibe-coding to build prototypes and MVPs of features or entire products (Lovable, Replit, Claude Design, Figma Make, Claude Code)
Identify opportunities for AI in your workflow with a reusable library of prompts and Skills from discovery to PRD
Automate your processes with Claude Skills, Agentic AI, ProductQuest, etc.
This is a hands-on, instructor-led cohort for PMs who make real product decisions.
Duration: 2.5 weeks (short, intensive, focused)
Format: Instructor-led cohort with 2 sessions per week (see schedule below)
Between sessions: Hands-on assignments to build the practical experience
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Every professional has access to ChatGPT, Claude, Gemini. But access isn't advantage.
The professionals who will thrive operate AI as a system. They build tools that compound. They create digital extensions of themselves that work continuously, not just when prompted.
Right now, a small group of practitioners has made this shift. They're working with AI systems that remember, maintain context, and automate entire workflows. While others type prompts into ChatGPT, they've built personal AI operations that multiply their output.
This course closes that gap in two sessions.
You won't learn prompting techniques. You'll build a working AI system, trained in your voice, solving your actual workflows during the live sessions. Not someday. Now.
By the end of this course, you'll wonder how you ever worked without it.
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