Director of AI Education at A+ Active

Cityblock Health

HashiCorp

The New School

PrismML

Webflow

Jai Bhagat

Generate Images and Videos with Diffusion Models

Use a module, node graph interface to help you work with diffusion models

Node-based workflows

Identify which models for SOTA for image and video generation

Open-source state of the art (SOTA) models

Exploring use cases and Jai will be in the hot-seat. Ask hard questions and Jai will prompt & write kernels live.

What can be guaranteed for production?

Learn to build spec-based agents with Claude Code, scale with AI Foundry, and master the MAANG/Anthropic interview loops.

Ex-Google, Meta, AWS, Microsoft AI PM

Google

Microsoft

Amazon Web Services

Mahesh Yadav

20+ YOE | Ex-Google, Meta Research, AWS AI, & Microsoft | 18k+ AI Alums

 

Bootcamp 3

Bootcamp 4

Go from vibe-coding to spec-based development, Build second brain(wiki) for Ai agents with datalakes(snowflake), Understand and master observability and red teaming with Azure foundry - all this with no coding exp. needed and mastering AI PM Interview skills to get hired. (<a target="_blank" rel="noopener noreferrer nofollow" href="https://myaicommunity.org/testimonials">Testimonials</a>)And a option to extend learning by getting all mahesh courses by paying in full for this one.2 courses - 12 weeks<ul><li>This course +</li><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/mahesh-yadav/genaipm">Agentic AI PM Certification</a></li></ul>Questions? <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/d/ct2s-3s2-n89/1-1-with-team-mahesh?month=2026-06&amp;date=2026-06-03">Book a 1:1 call</a>In 2026, PMs are expected to ship AI agents, not just write PRD's. AI PM interviews are very different than traditional PM ones, and most candidates fail. This bootcamp closes both these gaps.<ul><li>You'll master claude code by building production grade apps and agent- with security, memory, observability, and real connectors.</li><li>You'll get trained on MAANG/Anthrophic-level AI PM interviews, using case-studies from real AI PM interviews.</li><li>You will build portfolio project, refine hiring story, and access Mahesh's AI PM toolkit for 3 months.</li></ul>BONUS: • Rolestack.ai subscription that automates job applications • AI Role Interview Prep Material and Mock Interview Support • Mahesh's Substack Premium FREE 6 months<a target="_blank" rel="noopener noreferrer nofollow" href="https://forms.gle/q2DQcJxXNpXzSsqLA">Apply for a scholarship seat</a>

Crack AI Interviews | Build with Claude Code | Master AI Product Sense

Foundations:  Claude Code, Super-IC PM Mindset & AI PM Roles

Claude Code, Technical Depth: Go from Vibe to Production (Not Just Prompts)

Agents at Scale: Multi-Agent Systems, Data Pipelines & AI Foundry

AI Security & Production Safety

AI PM Interview Mastery: Real Case Studies, Real Loops

Product Managers who want to pivot into AI or lead AI-native products &amp; those with some AI/ML exposure who want to master agentic systems.

Engineers or tech-leaders wanting to move into product strategy for AI. Those aiming for AI PM roles at top-tier companies &amp; AI startups.

Anyone who wants hands-on build + portfolio + interview readiness, not just theory.

The AI frameworks, workflows, and rights knowledge that studios and networks expect — turning you into the professional they want to hire.

AI Consultant: Major Studios, Streamers

Netflix

Warner Bros. Discovery

Amazon MGM Studios

Paramount+

NBCUniversal

David Lerech

20+ year media executive, now advises studios, streamers, production companies

Cohort 2

Cohort 3

AI-generated content is already airing on Netflix, WBD, Amazon Prime and streamers around the world. Major media companies are hiring AI teams. This isn't coming — it's here. And the people who can use AI to a professional standard are the ones getting hired and getting projects greenlit.You don't need to be an AI power user - this course is built for media professionals who have been experimenting on their own and now want to get serious. You'll leave with the same professional frameworks I teach senior leaders at major studios and streamers.This 4-week, hands-on course meets you where you are and gets you to professional-grade output by Week 4. Led by one of the entertainment industry's leading AI advisors — who works with senior leaders at Netflix, Amazon MGM, Warner Bros. Discovery, and dozens of major studios — you'll learn the same approaches he applies when advising these organizations.You'll leave with portfolio-ready deliverables across text, image, and video; a practical rights assessment framework; and the most in-demand skillset in the creative industries today — taught at the pace working professionals can actually keep.

Professional AI skills that advance careers and get you hired in entertainment

Produce professional-grade AI content

Use AI as a creative partner for research, development, production

Work confidently with AI tools in use at major studios and production companies

Identify the differences between "cool-looking AI" and what is production ready

Position yourself as an AI-professional, one of the most hireable profiles now

For hands-on exercises: ChatGPT Plus, Claude Pro, or Gemini Advanced. If you've never paid for one, this is the time to start!

A paid LLM subscription ($20/mo) 

Used in Weeks 2-3 for professional AI image generation. Approx $25 USD /mo. You can cancel after the course ends.

Magnific Premium (1 month, ~$25 USD)

Media pros new to AI who want to get serious. You might already be experimenting but need professional-grade structure and frameworks.

<h3>Independent filmmakers, writers and creators who want work that attracts studios, financing, distribution, or professional partners.</h3>

<h3>Emerging creatives who want to get hired. You know AI skills are essential, but tutorials online don't teach you what professionals need.</h3>

This is not a theory session. You will design and prototype real AI-native workflows for investments.    

Digital Business Builder & PE DD Expert

McKinsey & Company

INSEAD

Awa Moamar

Digital Business Builder, Private Markets Strategist & AI Founder

AI/ML Leader, Tech Entrepreneur

Audi

Dassault Systèmes

Fraunhofer-Gesellschaft

University of Cambridge

Muzahid Hussain

Enterprise AI/ML Leader, Serial Entrepreneur & AI Expert

Angel Investor, AI Consultant

Dream VC

Inception AI

Alkan CIT

AbdelRahman Elbadawy

Angel Investor, AI Ecosystem Builder, Emerging Markets Expert

Cohort 1

Build your fund's Investment OS in a single 4-hour live session. Sun Sep 27, 9am–1pm PT

You arrive with an empty folder. Four hours later you have a screening agent that knows your thesis, a command that drafts cited IC memos in under a minute, and a package your partners can install with one line. Not slides about it. It, on your laptop. Most investors use AI as a faster intern. It summarises. It drafts. Then the tab closes and everything it learned about your last hundred deals evaporates. A system is different: it remembers, it runs without being asked, it reaches into your stack, and it shows its work. That is the gap this workshop closes, in one sitting.<ul><li>AI-first funds screen and evaluate 3–5x more deals</li><li>Associates who structure AI workflows, spend time on judgment, not formatting</li></ul>The Before/After transformation you can expect<ul><li>Before: You spend 20+ hours/week manually triaging emails, parsing data rooms, and drafting memos that miss critical signals</li><li>After : You run one command that extracts data, simulates an IC-style debate, and drafts your first memo while you focus on final judgment</li></ul>

Build your fund's Investment OS in a single 4-hour live session.

Design Your Own AI-Powered Investment Workflow

Eliminate Manual Data Handling

Build Production-Ready AI Systems (No Coding Required)

Turn Investment Judgment into Structured Logic

Understand the Foundations of AI Governance

The course is designed so you can build real AI-powered investment workflows using simple commands.

No Technical Background Required

The course is most valuable if you have some exposure to investing, startups, or financial analysis. 

Familiarity with Investment Workflows

The only real requirement is curiosity and a willingness to learn. You’ll get the most out of the course if you’re open to experimenting

Curiosity About AI and a Willingness to Experiment

You’re an investment lead drowning in data rooms with dozens of decks and need to scale evaluations without missing the next outlier.

You’re an MBA candidate who wants to stand out in AI-native investment roles by designing AI-powered workflows, not just prompting ChatGPT

You’re a CFO or operations lead replacing manual trackers and reactive reporting with a proactive system that monitors portfolio health

Stop starting over with AI every time a new tool drops.

Founder, Elevaite & Edessa.ai

Genentech

Thaddeus Demeke

Ex-Senior Data Scientist @ Genentech | Simplifying AI for non-coders

The models got genuinely good this year. They can write, analyze, and build. The tool stopped being what holds your work back. But most people haven't caught up. They keep chasing the next thing, a new model or app every few weeks, and the output stays generic.AI can't run what it can't see.Everything that makes your work yours, your standards, your voice, how you actually do things, lives in your head. The rest is scattered across old chats and forgotten notes. None of it sits where your AI can reach it. So you re-explain yourself every time. A good prompt works once, then it's gone. Nothing you build carries over.Everyone has the same AI models. Your edge is the OS you feed them.In 3 hours, you'll build your AI Operating System in Claude: one place where your context, your standards, and your workflows are written down, so any AI tool can pick them up instantly. Build it once, and every tool you use gets smarter. You build it live with a former Genentech senior data scientist who's now building these systems every day for businesses.<blockquote>You walk out with that framework, a 90-day plan to keep building, and our entire Claude AI OS repository, customized to your work.</blockquote>

Go from chasing new AI tools to running one system that knows your work and gets smarter every week.

Build your own AI Operating System from scratch

Document how you work in foundational files

Create a Voice Profile that gets AI sounding like you

Connect your apps and data sources to Claude

Automate everyday tasks with custom AI workflows

Make your system self-improving

Founders and small business ownersWho want to build a real AI foundation before they roll it out to a team

Solopreneurs and freelancersWho want AI to do the work of a team they can't hire yet

PMs, designers, marketers, and operatorsWho want to be the person others come to for AI, with a real system behind 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

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

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

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

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

Generate Images and Videos with Diffusion Models

What you'll learn

Why this topic matters

You'll learn from

Jai Bhagat