Kyle Lubieniecki

Build an AI Development Stack as a Non-technical Operator

Google

LinkedIn

Coursera

The New York Times

10+ years product leadership. Teaching non-technical operators to build with AI.

Understand the layers—frontend, backend, databases, deployment —and how they work together to create working app

Define what "full-stack" means in modern development

Understand the tool ecosystem and  what these tools do—and which problems they solve in your workflow.

Identify the role of each tool in the AI development stack

Follow a user's journey from button click to database—see how frontend, backend, and dev tools communicate in real-time.

Trace how data flows through your application

Use a simple framework to match your project requirements to the right stack—no overbuilding, no underestimating.

Assess which tools your project actually needs

We show you what's possible with AI, then take you there.

Founder | Meta/Amazon/Statsig/Tencent

Statsig

Amazon

Boston Consulting Group (BCG)

Tencent Games

Yuzheng Sun, PhD

Prev. Evangelist @ Statsig (Acq. by OpenAI), AI Director @ Tencent; Meta/Amazon

Applied Scientist | yage.ai

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

Cohort 12

Cohort 13

Is this you?<ul><li>Chatting endlessly with an “AI intern” instead of designing the context with clear principles.</li><li>Blaming “hallucinations” when the real issue is poor orchestration.</li><li>Trying to run an entire project from a single, overloaded chat window.</li><li>Treating AI like witchcraft and prompt spells instead of engineering.</li></ul>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:<ul><li>Unlearn old patterns</li><li>Install new mindsets and habits</li><li>Build a meta-learning system that can carry your career for the next 20 years</li></ul>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:<ol><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://youtu.be/dXjcy6XSN_Y">A build platform</a> that consolidates key APIs and lets you deploy your projects with one command—so you can build fast, not fight boilerplate.</li><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.superlinear.academy/c/share-your-projects/">A lifetime community</a> where you can share projects, ask questions, and get unstuck long after the course ends.</li></ol>The end of our course is the beginning of your learning, and we will be with you.

Learn AI for the Next 20 Years, Not the Next 20 Days

Engineer Robust Context to Eliminate Hallucinations

Curate "Sterile" Contexts for Peak AI Performance

Architect Multi-Agent Systems to Conquer Complexity

Define Success Criteria to Transmute from Operator to Manager

Build "White-Box" Evaluation Tools to Visualize Quality

Design Self-Healing Loops for Autonomous Optimization

Software Engineers &amp; Developers Ready to build reliable, scalable AI systems integrated into production workflows.

Technical Product Managers &amp; Strategists Seeking the hands-on knowledge to scope, architect, and guide AI initiatives with confidence.

Data Professionals &amp; Automation Experts Who want to transform proof-of-concept scripts into durable applications that multiply productivity.

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

Former Director of AI @ Microsoft, IBM

Microsoft

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

Build your own AI agent in 1 day. Skip 6 months of trial & error.

Co-Founder @ King's Cross (AI labs)

South Park Commons

Mikaela Reyes

Airbnb

Phantom

Nicolas Reyes

Time: 12NN EST - 5PM EST or 9AM PST - 2PM PST

AI is moving fast. For most non-technical professionals, it feels:<ul><li>Overwhelming. Where do you even start?</li><li>Noisy. Every week there's a new tool, a new tutorial, a new "best prompt ever"</li><li>Time-consuming to figure out alone</li><li>Frustrating. You know Claude should be saving you hours. But it still doesn't quite get you.</li></ul>We've spent 1,000+ hours learning (and failing) in Claude so you don't have to. We've built and shipped software used by millions, and we've sat on both sides of the table: technical and non-technical. We built our own AI-native operating system from scratch. This workshop is the shortcut we wish we had.In one day, you'll learn more than most people piece together over MONTHS of trial and error.By the end of this workshop, you will have:✅ A working AI agent crafted for your specific role and workflows ✅ Your own CLAUDE.md and context files — the "brain" that makes Claude actually know you ✅ A custom skill built for your needs ✅ Connected tools or MCPs so your agent can act ✅ Frameworks and mental models to keep building on your ownThis is a hands-on build session, with instructors live in the room. not a passive webinar. We keep cohorts small and intimate. Spots are limited.

Build your own AI agent & learn how to do it on your own.

Give your agent a brain

Build a Custom Skill for your Workflow

Connect to apps & tools you already use

Create your very 1st agent (or 2)

Claude Pro or Max subscription

 Downloaded version of Claude Desktop

Founders, execs &amp; managers who want to outpace competitors or other teams and do the work of a 5-person team without the payroll.

Non-technical operators and leads who know AI can save them 10 hours a week but are busy &amp; need a high quality &amp; fast way to uplevel.

Non-tech professionals who are AI-curious or have been handed the AI mandate but don't know where to start.

The skills you need to succeed as an AI Engineer in production environments.

Owner/CEO, AI Makerspace

AI Makerspace

AI Fund

FourthBrain

University of Dayton

Dr. Greg Loughnane, Ph.D.

Building industry-leading AI training for engineers and teams since 2021

Engineer @ Vercel l Evalite Maintainer

Can Temizyurek

Engineer @ Vercel, maintainer of Evalite (200k downloads per week)

Principal AI/ML Engineer @ Rumble

Stanford University

Multiverse Computing

AoCubo Imobiliária

Raul Salles de Padua

Principal AI & ML Engineer @ Rumble

TL;DR: <a target="_blank" rel="noopener noreferrer nofollow" href="https://bit.ly/AIE-v1-curr">find all curriculum details for v1.0</a> and the <a target="_blank" rel="noopener noreferrer nofollow" href="https://aimakerspace.io/the-aie-bootcamp-changelog/">changelog</a> since 2024.Today, the most important conversations in tech are about what to build with agents and why. Expert AI Engineers walk into those rooms and know they have earned a seat at the table.Developing the deep expertise at the edge of agentic AI to achieve this is easy in theory, yet quite difficult in practice.You must root yourself in both core conceptual patterns and practical code execution, both of which are evolving in real time.Over 10 weeks, you will routinely build 🏗️, ship 🚢, and share 🚀 with best-practice tools. Through accountability, repetition, and community, you will develop agentic AI expertise and achieve your personal career goals.Just ask our <a target="_blank" rel="noopener noreferrer nofollow" href="https://aimakerspace.io/graduates">Certified AI Engineer Graduates</a>.This course is designed for production backend engineers.All applicants must demonstrate their ability to dig into coding tools and build something with them by completing <a target="_blank" rel="noopener noreferrer nofollow" href="https://aimakerspace.io/aie-challenge">The AI Engineer Challenge</a>.Certifications remain active for two years. Recerts are 80% off. For all discount opportunities, see our <a target="_blank" rel="noopener noreferrer nofollow" href="https://bit.ly/aie-v1-discount-policy">discount policy</a>.AI Makerspace is the only certified enterprise training partner of <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/posts/a-meaningful-milestone-today-for-ai-makerspace-ugcPost-7460037108691476481-0wES?utm_source=share&amp;utm_medium=member_desktop&amp;rcm=ACoAAAOfOE4BdOGPD97rGOwB0qdCpNDB_wvyxsI">Andrew Ng &amp; Kirsty Tan's AI Aspire</a> on Maven.

The industry-standard certification for production AI Engineers.

Prototype and deploy many agent applications

Create effective evaluations (a.k.a. "evals")

Build full stack solutions to deliver complete user experiences 

Understand the foundational design patterns of AI Engineering

Attend to LLM Engineering

Apply production best-practices

This will be a place where you will hang out for many, many hours over the next 10 weeks.

Understand how to write Python code in an Interactive Development Environment

If you don't have a clear goal that aligns with completing your AIE Certification, you will not. Lifetime certification rate = 51.2%.

Have a clear goal of what you want to accomplish in your career in 2026

Backend software engineers and developers who want to build, deploy, operate, and improve agents in production environments.

The very best ML engineers or frontend developers who are pseudo-backend developers and understand what they must learn to stay relevant

Only the most ridiculous technical product managers; who somehow believe that getting deep into practical code execution will help them

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

Welcome and Introduction

From Product Leader to AI-Powered Builder

The Shifting Landscape of Software Development

The Four Layers of an App: A Restaurant Analogy

The Fifth Layer: Integrating AI into Your App

Mapping Tools to the Tech Stack

Choosing the Right Tools for the Job

Visual Builders vs. Coding Agents: A Trade-Off Analysis

Anatomy of a User Action: From Click to Database

Why Understanding App Layers Matters

A Framework to Avoid Overbuilding

Five App Archetypes and Their Stacks

Conclusion, Homework, and Community Introduction

Q&A: Cursor vs. Claude for Coding

Engineers and engineering leaders who build, deploy, and scale software systems.

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.

Building technical literacy — understanding APIs, databases, system architecture, and engineering tradeoffs.

Build an AI Development Stack as a Non-technical Operator

What you'll learn

Why this topic matters

You'll learn from

Kyle Lubieniecki