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

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

LLM Ops

Context Eng

Security

System Design

Design

Figma

Design Systems

Visual Design

Design Strategy

Marketing

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

Founders

Fundraising

More

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

We've refined the complex AI ecosystem into a streamlined, weekly progression so you can build with confidence.


AI Entrepreneur | Ex-Google, Microsoft

Google

Microsoft

Columbia University

Nebius

Aishwarya Srinivasan

AI Engineering Lead | Founder

Adobe

Carnegie Mellon University

Arvind Narayanamurthy

May 2026 Cohort

Go from AI-curious to AI-confident. Build real systems. Ship real work. Land real opportunities—all in less time than it takes to binge a Netflix series!This course cuts through the hype to teach you the engineering principles required to build &amp; deploy robust, agentic AI systems.To make sure your learning reflects how AI is actually built today, we've partnered with top AI companies like NVIDIA, Nebius, AG2, LlamaIndex, Pinecone, &amp; others — bringing you free credits &amp; guest lectures from engineers &amp; leaders.<ul><li>Battle-Tested Curriculum: We've distilled 7 years of experience building AI systems at Google, Microsoft, Adobe, IBM &amp; Fireworks AI into 6 tight, outcome-driven weeks.</li><li>Proven Track Record: At The Gen Academy, we’ve successfully taught over 2500+ individuals, helping them upskill, architect complex pipelines, &amp; transition into high-impact AI roles.</li><li>Built for Real-World Application: You'll build projects throughout &amp; complete an end-to-end capstone proving you can architect reliable AI systems.</li><li>Bonus Career Launchpad: We will also teach you how to get hired &amp; become truly AI-native. Week 7 covers the AI job market, portfolio building, &amp; standing out to hiring managers.</li></ul>

Build the skills and systems knowledge to become the top 0.1% in AI experts!

Gen AI Building Blocks

Grounding AI with RAG and Context Engineering

The Agentic Leap

Finetuning & Local Models

AI Evals, Security & Production Readiness

Bonus: AI Career Launchpad & becoming AI-Native

Curiosity — you've wondered how this stuff actually works and want to understand it, not just hear about it.


No coding background required. No prior AI experience needed. Just bring:

Urgency to Learn — you're not here to slowly browse concepts. You're here because the world is moving fast and you intend to keep up.

Comfort with Discomfort — this course will push you. You'll encounter things you don't understand and you'll push through them anyway.


Engineers, PMs, Data Scientists/Analysts: Upgrade your stack. Architect multi-agent pipelines and transition into high-impact AI roles.

Leaders &amp; Entrepreneurs: Cut the fluff. Build technical intuition to evaluate AI tradeoffs, spot use cases, and deploy agentic solutions.

Future AI Practitioners: Build a real capstone project, prove you can ship AI systems, and crack the job market.

Fresh ways of working, fresh conversations to have with teams, and using AI in accurate, helpful ways.

The Mary Poppins of CX/UX ☂️

The Stepstone Group

Macy's

Arizona State University

Debbie Levitt, MBA, CPIC, ACC

Product, Service, & Experience Strategist, Researcher, Service Designer

Sessions: 29-31 May 2026. Office Hours and support in June.

AI & Research - Cohort 02

It’s not product-shareholder fit, product-executive fit, product-lowest-budget-fit, or product-deadline fit. It’s also not product-market-good-enough or product-market-we’ll-fix-it-later. In decades of consulting and strategy work, leaders and execs have never asked me to help them fail more or fail faster. They want me to find and solve problems, identify and mitigate risk, make teams more efficient, and make products and services more successful.We waste time and money trying to solve problems we don't understand for target markets we don't understand.Light on slides, heavy on action! 18 hours of live instruction + 4 hours of live Q&amp;A/AMA. Can't make it live or would rather watch videos? All live lessons will be recorded and made available to cohort members.Continued support in our free Discord community.<a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.google.com/document/d/1MeLgmpVvu8xacYDkMiYzMLXAKDws0aNuoux0zPCg1Cc/edit?usp=sharing">View the detailed syllabus/course plan (Google Doc).</a>Great for tech and corporate workers and leaders, startup founders, and freelancers. Definitely for Researchers wanting to add AI thoughtfully to their process.Join this course's next free <a target="_blank" rel="noopener noreferrer nofollow" href="https://atomicpmf.com/lightning">Lightning Lesson</a>!

Practical techniques to improve work quality, efficiency, and strategy.

PMF exists on three levels. You're probably losing customers at the micro level.

Atomic PMF model and process are flexible frameworks that fits every project.

Whether work is done by humans, AI, or both, we have to satisfy customers.

Use AI as a critical thinking partner in the Atomic PMF process.

The course welcomes everybody at every level. New to tech work, a new startup founder, or been doing this for decades? You belong here.

None! No gatekeeping. 😊

You're under pressure to use AI but have no idea where it helps vs. where it sucks. You want to learn practical techniques, not theory.

You're tired of high failure rates and vibe producting. Learn why products fail and how to find (and keep) product-market fit.

You're a PM, Founder, Researcher, Designer, or Strategist drowning in guesses and assumptions. Put "strategy" back in "product strategy."

Turn mountains of customer feedback into strategic answers you can trust

Strategic answers you can trust, fast

Capital One

Bloomberg

Pinterest

John Whalen, PhD

Cognitive scientist, CEO & O'Reilly author · Top 100 Maven instructor

Cohort 1

Your customers are telling you what to build, fix, and prioritize. It's sitting in survey responses, support tickets, app reviews, and NPS comments. But who has time to read through it all — and even if you did, would you know what to look for?Most people skim a handful of responses and go with their gut. Or they paste everything into ChatGPT and get a vague summary they can't really trust. Either way, the strategic signal stays buried.In this three-hour hands-on workshop, you'll build an AI-powered analysis pipeline that does what a senior researcher does — but in a fraction of the time:Extract specific findings from your raw feedback dataSynthesize patterns across hundreds of responses, with evidence countsVerify every claim against the original source — no hallucinations, no cherry-pickingProduce a strategic summary framed around what to do nextNo coding. No expensive tools. Just structured prompting techniques and text files you can reuse with any AI assistant.You'll leave with a working system — configured for your specific data and questions — and the skills to point it at your own feedback the same day.

Go from a pile of unread feedback to strategic answers you can trust and act on — in a single afternoon.

Finally get through your feedback backlog

Find what you didn't know to look for

Trust what the analysis tells you

Make AI think strategically — like you

Turn feedback into a decision, not another document

Never start from scratch again

Product managers and founders sitting on customer feedback they haven't had time to properly analyze

Designers, engineers, and startup teams who need customer insights but don't have a dedicated researcher

Researchers who want to accelerate their own analysis and give non-researcher partners a workflow they can run

Turn information overload into a Knowledge Engine that talks back. Go from drowning in unread PDFs to shipping high-fidelity AI artifacts.

Solutions Architect & AI Educator

Thoughts Brewing

HubSpot

United Way

MANTECH

Damien Griffin

Solutions Architect & Co-Founder at Thoughts Brewing, LLC

Cohort 2

Cohort 3

This course is for AI-curious professionals who are tired of LLMs hallucinating about their own business data. You’ve used the big bots, but you’re ready for a tool that stays grounded in your specific files, not the entire internet.You should pull up a chair if you are:<ul><li>An overwhelmed researcher or lead sitting on a pile of unread PDFs and half-baked notes.</li><li>A solutions-oriented builder who needs to turn raw data into interactive podcasts, briefing docs, and infographics without the usual tech headache.</li><li>A busy professional who has played with NotebookLM but wants a structured way to master the non-intuitive interface and see what else it can actually do.</li></ul>We are looking for active builders who already have a basic handle on how to talk to a bot. We won’t be covering "Prompting 101" here, we are diving straight into building a Knowledge Engine that actually talks back.This is not for the AI absolute beginner or anyone looking for a tool to browse the web for generic answers. This is for the person who wants to tame information chaos and turn their personal library into a competitive advantage.

Master NotebookLM: Turn Data Chaos Into Precise AI Artifacts in a Weekend

Build a grounded Knowledge Engine

Transform raw data into executive-level artifacts

Generate custom Audio Overviews for hands-free learning

Visualize complex info with Mind Maps and Infographics

Navigate the 3-panel interface like a systems pro

Pressure-test your mastery with AI-generated Quizzes

You should have experience using tools like ChatGPT, Gemini, or Claude to ensure we can focus on NotebookLM-specific workflows.

Proficiency in AI Prompting

A personal or Google Workspace account is required to access the NotebookLM platform during the live sessions.

Active Google Account

Access to a desktop computer (preferred) and a stable Zoom connection for the live interactive portions of the weekend.

Standard Tech Setup

Leaders &amp; Project Managers needing reliable AI. Build a grounded system that uses your data to automate workflows.

Founders synthesizing research fast. Turn private notes and transcripts into professional audio and text reports.

Operators &amp; Researchers managing massive document libraries. Extract precise insights and summarize complex data without manual effort.

Working with LLMs

Cohort-based courses

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