Agentic AI

Coding with AI

AI Evals

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

User Research

Prototyping

Growth

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

Security

System Design

Design

Figma

Design Systems

Design Strategy

Marketing

Content Marketing

Go-to-Market

Product Marketing

B2B Marketing

AI for Leaders

Communication

Management

Storytelling

Founders

More

Everyone

Operators

Data Scientists

User Researchers

Project Managers

Sales People

Lawyers

Finance

Investors

Real Estate

Learn to turn ideas into real products with Claude Code, generate PRDs, build MVPs, orchestrate agents, and ship deployable AI applications.

Cohort 1

Founder | Ex-Google | Prof UCLA & UMN 

Google

Walmart

Gallup

UCLA

University of Minnesota

Hamza Farooq

Founder | Ex-Google | Adjunct UCLA & UMN, SCU | Venture Partner

AI Advisor | Ex-Microsoft & IBM

Microsoft

Coursera

DataCamp

NumFOCUS

Gabriela de Queiroz

AI Advisor for Startups | Ex-Microsoft & IBM | AI Leader

AI has changed how products get built. Tools like Claude Code are reshaping the product development life cycle in ways most of us are still catching up with.You probably have ideas. You see what these tools can do. But turning an idea into something real, a working product that runs, deploys, and can actually be used, can still feel overwhelming.The most exciting shift is that anyone today can go from idea to PRD to working prototype in minutes. That's a massive change in how products come to life.This course exists to help you take advantage of that shift.Instead of spending weeks watching videos, you'll build alongside us. You'll take an idea, turn it into a PRD, generate an MVP, orchestrate AI agents, and deploy real-world use case products.You won't just learn how to use Claude Code. You'll use it to build real products.🎯 Week 1: Turn idea to PRD into an MVP🎯 Week 2: Build your own marketing agency using sub-agents, and multi-agent orchestration🎯 Week 3: Evaluations 🎯 Week 4: Demo Day!By the end, you'll know how to go from idea to requirements to prototype to deployable product using AI-native workflows, and you'll leave with multiple working products you built yourself. 🚀

Turn ideas into deployed products using Claude Code, build 6 real applications 

Turn Ideas into Working Products

Build and Deploy Real Prototypes

Create Multi-Agent Workflows

Use MCP Connectors to Extend AI Apps

Build and Launch a YC-Style Product

Graduate with a Portfolio of Shipped Projects

Just be willing to learn, we will take care of the rest

Curiosity and openness

Product Managers &amp; Product Leaders who want to go beyond writing specs and start turning ideas into products using AI-native development.

Developers &amp; Builders who want to move faster with tools like Claude Code and build real prototypes, agents, and deployable AI applications.

Entrepreneurs &amp; Founders who want to validate ideas quickly, build MVPs, and launch solutions without waiting on long development cycles.

Become AI Fluent by shipping real apps, building agents, and developing the hands-on confidence that only comes from doing

Product Leader. Ex-Amazon, Microsoft

Amazon

SurveyMonkey

Twitch

Smartsheet

Bonnie Yu

10+ Years Product Leader. Ex-Amazon, Smartsheet, Microsoft, SurveyMonkey

AI fluency is becoming a baseline expectation for PMs. You've probably seen these interview questions circulating: "How do you use AI in your workflow?" "Build a multi-agent system for X." Even roles that have nothing to do with building AI products are now expecting a working understanding of the tools and concepts.This bootcamp is built around the philosophy: the fastest way to learn AI is to build something. Not watch a demo. Actually build it yourself, with someone guiding you through the hard parts in real time.Over three weeks, you'll ship two apps, create a multi agent workflow for your PM job, and come away with the vocabulary and confidence to discuss AI credibly. How it Works<ul><li>6 Live Sessions: Live classes are designed so we can build together. Build and learn theory at the same time</li><li>Use the Tools: Claude Code, Lovable, GitHub, Key MCPs. Become a pro at shipping apps and agents </li><li>Capstone Project: Build your own app that you can share. Personalized feedback and help is provided.</li></ul>As a bonus, every week will include guidance on how you can use the material from this course to get a head start on AI Fluency Interview screens.

Learn AI By Building. Ship an App, and Build Agents for Real Work

 Build your first app with AI from prompt to working prototype 

Become confident with Claude Code. The coding agent PMs need to know

Build a multi-agent workflow for actual PM work

Leave with a capstone project that's yours

Demos will be done with Claude Code. If you don't have it already installed, instructions will be provided once you sign up

Coding Agent such as Claude Code 

The PM who feels overwhelmed by AI tools and wants to finally learn by doing, not just reading about it.

The PM preparing for their next role, where AI fluency questions are now standard.

Not a PM? No problem. If you want to learn AI by building real apps and workflows, this bootcamp is for you too.

Ship production features 2x faster by using coding agents across research, planning, implementation, testing, and review workflows

Cohort 2

Creator of Stanford's AI Coding Course

Stanford University

Y Combinator

Mihail Eric

Created Stanford's first AI coding class. Former YC founder and Amazon AI lead. 

Cohort 3

Today many developers use AI, but few are maximally productive with it. I created Stanford's first AI software development class, and after building a YC-backed coding company and leading AI at Amazon, I've seen how top engineers integrate AI into production workflows. My techniques have been used to train 200+ Stanford engineers and industry professionals.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:<ul><li>Building production features with AI agents using the research → plan → implement → test workflow</li><li>Configuring an optimal AI native dev environment for your specific tech stack (IDE, code review, tool integrations, and beyond)</li><li>Setting up review and CI processes that catch AI errors, hallucinations, and slop before production</li><li>Enabling multiple agents to work together on the same codebase without conflict, accelerating software delivery and throughput</li></ul>If you're ready to write better code, ship to production faster, and stay in control of your coding agents, let's get started.

Increase developer productivity with AI-first, production-ready workflows

Configure optimal AI-first developer environments to improve your coding output

Learn how to navigate the ecosystem of cutting-edge AI developer tools 

Exercise effective strategies for prompting and building with coding agents

Reduce hallucinations, software errors, and AI slop all while shipping faster

Become a manager of coding agents so you can keep many agents productive 

Develop a deep intuition for how AI coding platforms work under-the-hood

Engineers who want to increase their productivity with AI-generated code while making it actually production grade.

Engineering managers who want to ensure their teams aren't being left behind when it comes to the new way of developing software.

Those confused about how to develop with AI the right way (how to maintain context and manage multiple agents without compromising code)

You'll ship a CrewAI crew, a PRD agents run on, and the confidence to shift from coder to Agentic Architect

Agentic Architect, Pearson SME, ex-Cisco

Cisco

Claro Brasil

Pearson

O'Reilly

Carmelo Iaria 

Agentic Architect, Pearson SME, Startup Founder, 30 years of global experience

The industry is shifting from writing code to orchestrating agents that write code. Anthropic's research shows it clearly. But most engineers are still stuck in coding mode: they prompt, they debug, they patch. The agents misbehave. The architecture feels wrong. And they have no one to show them how to design and coordinate systems instead of hand-coding every fix. In this cohort, you stop coding and start orchestrating. You'll define a PRD that agents can execute on. You'll configure a CrewAI crew - roles, tasks, tools - and get live debugging when things break. You'll get architecture review before you scale. You'll apply the framework to your actual use case, with coaching in real time. Unlike self-paced tutorials, you build with me in the room. Hot seats. Live debugging. The Define-Build-Deliver framework applied systematically - not tips, but a proven method. I've spent 30 years building systems that scale (Cisco, Claro, Pearson) and now train engineers to orchestrate agents instead of writing code alone. When you hit a wall, we fix it together.-&gt; Two Saturdays. Four hours live. The shift from coder to orchestrator.

Stop Coding - Start Orchestrating AI Agents

Adopt the Agentic Architect mindset

Run the Define phase: scope, PRD, context setup

Run the Build phase: multi-agent crew with CrewAI

Run the Deliver phase: simulate deployment and monitoring

Ship a real multi-agent app end-to-end

Software developers and engineers who see AI reshaping their role and want to move from implementer to orchestrator.

Tech leads and engineering managers who need to ship production-grade agent systems and who are already the "glue" between teams and agents

AI/ML engineers and consultants who want to escape task-level work and sell enterprise-grade, orchestrated solutions

Transform from consumer of analytics to independent operator - asking sharp questions, validating answers, shipping decisions.

Principal Data Scientist @ Ontra 

Stripe

Nextdoor

PwC India

Ontra

AppFolio

Shane Butler

Principal Data Scientist @ Ontra | Ex-Stripe, Nextdoor, PwC, Appfolio

Data Science Leader |Ex-Microsoft

eBay

Grammarly

Superhuman

Sravya Madipalli

Data Science Leader@Superhuman (Prev. Grammarly)| Ex-Microsoft, eBay, Nextdoor

Head of Data @ Ontra AI | Ex-LinkedIn

LinkedIn

Pinterest

Hai Guan

Head of Data @ Ontra | Ex-Nextdoor, LinkedIn, Pinterest, Meta

The future belongs to full-stack builders, not narrow specialists. As AI reduces the value of deep domain silos, the people who thrive will be the ones who can work across disciplines and ship.You can already prototype designs, write code, and generate content with AI. But analytical independence - the ability to validate your own ideas and make data-informed decisions - remains the missing skill in most builders' toolkits.AI can conduct the analysis, but it can't tell you what to ask or whether the answer makes sense. That requires analytical judgment.This course teaches you to think like a senior Product Data Scientist. You'll learn the frameworks used at FAANG companies to frame problems, choose the right metrics, diagnose root causes, execute the analysis, and turn insights into decisions.-&gt; <a target="_blank" rel="noopener noreferrer nofollow" href="https://join.slack.com/t/dataneighbor/shared_invite/zt-3ox4drc3r-3g0ptSthytkgv0sD6ovvqg">Join AI Builders Slack Community!!</a> &lt;-What makes this different: No SQL. No stats lectures. Five weeks of hands-on real scenarios. You'll build a complete analytical case study - metric specs, deep dives, experiment plans, stakeholder readouts.The result: You become analytically self-sufficient. The last dependency removed from your toolkit. Make data-informed decisions in hours, not weeks.

Ask Better Questions, Make Faster Decisions - with AI as Your Analyst

Frame Problems Like a Senior Data Scientist

Design Metrics That Actually Drive Decisions

Diagnose Root Causes Without Guessing

Design Experiments That Ship

Turn Analysis Into Action With AI as Your Copilot

Synthesize Insights and Prioritize for Impact

Product Managers, engineers, and operators who need analytical independence and frameworks to measure success and drive decisions.

Designers and researchers stepping into strategy roles who need to quantify impact, run experiments, and influence with data-driven insights

Data professionals who want to frame better questions, delegate technical execution to AI, and drive impact with agentic analytics tools.

Become an AI-native builder who ships confidently with Claude Code and Replit

AI Product Leader & AI Coding Educator

MongoDB

Timescale

YouTube

Princeton University

Avthar Sewrathan

31 Jan - 8 Feb 2026

4-11 April 2026

Most AI coding courses help you tinker. This one helps you ship.You'll build 3 real projects of your choice: (1) A Claude Code project, using custom commands, Skills, Plugins, MCPs, and multi-agent workflows.(2) A web or mobile app on Replit, with built-in database, auth, custom domain, and deployment.(3) A Demo Day showcase.In the process, you'll master Claude Code and Replit from beginner through advanced workflows, and learn fundamentals that apply to any AI coding tool in the future.I created this course to help you go beyond tutorials and actually ship. It's what I can't offer on YouTube: personalized support, faster progression, and accountability to ship alongside other builders.The workflows and tips you'll learn are based on hard-won experience using AI to ship production-ready software, from me and some of the best AI-native engineers in the world.And you won't build alone, with 10+ hours of office hours and Q+A across the course, a Slack community for async help, and debugging support when you hit walls.Ready to ship with AI? Let's go.

Build real projects. Master Claude Code and Replit. All in just 8 days.

Build production apps with Claude Code

Ship live apps with Replit

Master AI-native development fundamentals

Confidently navigate the rapidly evolving AI Coding landscape

While sample project ideas and prompts will be provided, this course is most helpful if you have ideas for things you want to build.

Ideas for projects to build

We'll use tools like the terminal and GitHub in the course. If you're not familiar with them, no problem, just come ready to learn fast.

Willingness to learn fast

Software Engineers who want to go from tab-complete to AI-led in their planning, building, testing and review workflows.

Founders and Business Owners who want to turn their ideas into reality, and avoid outsourcing product development.

Product Managers who want to expand their impact by prototyping, testing, and shipping faster without cross-functional bottlenecks.

Ship better software, faster. A comprehensive course from first principles to autonomous AI-powered development – precision, not vibes.

AI & Software Engineering Leader

Canonical

Eleanor Berger

AI Engineer & Cloud Consultant

T-Systems

Mitja Martini

AI is transforming software engineering. Mastering AI-powered coding is now core to every developer, engineering leader, and product professional.Go beyond the hype – build deep understanding of the fundamentals and best practices that will serve you and your team for years to come.Learn complete frameworks for Context Management and Specification-driven Development, and master the integration of AI across the full Software Development Lifecycle – from individual practice to enterprise-scale autonomous operation.

Coding with AI

Cohort-based courses

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