Amplitude AI Analytics

How to Drive AI Adoption with a Buildathon

Foundever

Lovable

Miro

LEGO®

Microsoft

Dmitrii (Dima) Abramov

Lovable Ambassador, Vibe Coding Community Builder

Elena Avramenko

15+ yrs in Product & Marketing, award-winning founder, 100+ new product launches

Anyone can build now. We'll talk through what it looks like when the marketer, ops person, etc. ships the prototype.

How to support builders across your organization

Get the framework you need to successfully run a hackathon: format, prep, and what makes it work or flop.

Why a hackathon beats a training program for AI adoption

Together, we've led hackathons for thousands. We'll share what non-technical people actually built and what stuck after.

Real examples from the events we've run

 Stop waiting on engineering. Build it yourself in 3 hours.  

Former Director of AI @ Microsoft, IBM

Coursera

UC Berkeley

NumFOCUS

Gabriela de Queiroz

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

Cohort 1

Cohort 2

🚨 Last cohort was sold out. FEW SEATS LEFT!AI is changing who gets to build.PMs are shipping tools they used to request from engineering. Analysts are building dashboards they used to wait weeks for. Founders are testing ideas without hiring teams first.The gap between having an idea and shipping something real has collapsed — if you know how to direct AI correctly.In this workshop, you'll learn the workflow modern AI builders use to go from idea → working product fast.By the end of this workshop, you will have: ✅ A working AI-powered product built from your own idea ✅ My exclusive 6-Question Build Brief that you can reuse for every idea you have ✅ Your own CLAUDE.md and supporting files so Claude Code work the way you work ✅ The build-fix-adjust loop template that makes Claude Code productive instead of frustrating ✅ Custom Claude Code skills tailored for you ✅ Additional materials to support your journey after the workshop ➕ Live feedback on your idea, workflow, and product direction from an AI leader who has evaluated hundreds of AI products and startups. Cohorts are intentionally small so you can get direct support throughout the session.

Go from idea → working product in one afternoon, without writing a single line of code.

Turn any idea into a build-ready plan with the 6-Question Build Brief

Learn how to direct Claude Code like a builder

Learn the build-fix-adjust loop modern AI builders use

Learn where AI accelerates your work — and where human judgment matters

Leave with a working product built from your own idea

PMs, analysts, marketers, founders, consultants, researchers, and operators who want to move faster without waiting on engineering

Non-engineers who want to learn the workflow modern AI builders use to turn ideas into working prototypes

People who are tired of watching AI tutorials and want to actually build something real

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

Cohort 1 is in Session, but it's not too late to enroll!! Kick off was April 20. Final registration closes April 27. Everything has been recorded so you don't miss a thing! As AI reduces the value of deep domain silos, the people who thrive will be the ones who can work across disciplines and ship. 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 end-to-end, 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.

Master the systems to stop micromanaging and transition from a referee to an orchestrator of a self-running team.

Founder at The Strength Hack

Daimler AG

Airbus

Audi

Toll Collect GmbH

Murk Creusen

Founder & Leadership Coach at Strength Hack

Founding Cohort

You cannot fix burnout by working harder. You have a matching problem.AI is making your team's hard technical skills obsolete faster than they can learn them. You cannot fix this "AI anxiety" or burnout by asking them to work harder. You don't have an effort problem; you have a matching problem.Most Engineering Managers spend 70% of their week trapped in the "Mediocrity Loop" - refereeing personality clashes, fixing broken handoffs, and watching their team's shared knowledge collapse as junior roles vanish. You're bleeding runway and morale.This 30-day accelerator gives you the system to break out. Using the Big Five (or CliftonStrengths) assessment, a proven framework, and the Strength Hack AI, you'll map your team's cognitive architecture and engineer the conditions for psychological safety - not just hope for it.In 4 weeks, you will:<ul><li>Stop Generalist Exhaustion: Identify energy leaks and delegate based on Cognitive Fit, not calendar space. </li><li>Engineer Swift Trust: Use the 6-dimension Matching Compass to translate friction into synergy.</li><li>Drive ROI: Transition from a reactive referee to a strategic orchestrator</li></ul>

Engineer Psychological Safety. Stop Refereeing Your Team.

Shortcut the "Storming" Phase to Engineer Swift Trust

Reclaim 70% of Your Week (Plug the Energy Leak)

Turn Personality Clashes into Solvable Data

Restore the "Who Knows What" Architecture Your Team Lost

Walk Away with a "Plug-and-Play" Facilitation Kit

To get ROI from this course, a real-world team (direct reports or agile squads) is recommended to apply the Matching Compass frameworks.

Team Leadership or Management Role

You must take the free Big Five test (or CliftonStrengths) before to map your personal psychological operating system.

Completion of a Baseline Assessment

The Overwhelmed Engineering Manager / Tech LeadYou lead a hybrid or remote team. You want a data-driven system, not another workshop.

The Ambitious Senior / Staff Engineer<blockquote>You're moving to people manager. You want proven frameworks to lead a team without micromanaging.</blockquote>

The People-Conscious CTO / CPO<blockquote>You own culture and delivery for 10–200 people. Your board wants AI readiness. You need L&amp;D that's credible.</blockquote>

Build concept prototypes to drive faster decision making cycles 

Principal PM at Yelp, ⭐ 4.9 on Maven

Yelp

Google

eSpark

Codeverse

Priya Mathew Badger

Principal PM for Yelp's AI Assistant, Lenny's Community Top 25 contributor 

Learn how to build functional prototypes to drive faster feedback cycles

AI prototyping is the #1 skill PMs need to learn, but most are still learning how to apply it to their product work.As a Principal PM at Yelp, I built repeatable AI prototyping workflows to explore ideas faster and drive leadership buy-in.<a target="_blank" rel="noopener noreferrer nofollow" class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://www.youtube.com/watch?v=wDA6DslBeqk">See my How I AI episode with Claire Vo →</a><h2>The Program</h2>This one-day live workshop takes you from ad hoc experimentation to building prototypes that drive better and faster product decisions.Get hands-on with AI prototyping as a core discovery skill: turning rough ideas into functional prototypes and driving faster feedback cycles. You leave with a working prototype that you can use for the next idea on your roadmap or job interviews."This was a very valuable course that not only teaches the basics of prototyping that you can immediately apply, but also instills the right mindset to work with the AI tools." — LK, Staff PM at Pinterest ⭐⭐⭐⭐⭐<h2>What's included</h2><ul><li>4 hours of live instruction with repeatable workflows</li><li>Experience prototyping with multiple tools (Claude, Magic Patterns, and Google AI Studio) </li><li>20+ learning modules and custom Skills you keep for reference</li><li>Lifetime recording access</li><li>Private AI Prototyping Slack community</li><li>1 free month of Magic Patterns </li></ul>

You will leave with a prototype you can use for team alignment and user feedback

How to turn rough ideas into functional prototypes using AI tools

Get a repeatable workflow you can run for any roadmap area or interview process 

Use prototypes to drive faster internal alignment and leadership buy-in

Individual Contributor PMs looking to master how to build functional prototypes and use them to get faster feedback and alignment

Product leaders (GPM/Director/VPs) interested in leveraging AI prototyping for vision and team upskilling

Job Seeking PMs who need to learn prototyping for interviews with AI-first product companies

The Agent-Powered Super IC

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

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Operations professionals who optimize processes and manage day-to-day business functions.

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

Day-to-day people management — 1:1s, feedback, performance management, hiring, and team operations.

HR and people operations professionals handling hiring, compensation, employee experience, and organizational development.

Leading organizational AI adoption — change management, strategy, and building AI-ready teams.

Using AI tools like Cursor, Replit, and Lovable to build and ship functional software without a traditional engineering background.

How to Drive AI Adoption with a Buildathon

What you'll learn

Why this topic matters

You'll learn from

Dmitrii (Dima) Abramov

Elena Avramenko