Agentic AI

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Everyone

Operators

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Learn to design, build, and ship AI agents—transforming from a PM who demos AI to a PM who deploys real, always-on, impactful workflows.

April

CEO @ Mindstudio, ex-CTO @ MySpace

Google

LinkedIn

Microsoft

Cisco

Dmitry Shapiro

GenAI Product Builder @Google, ex-Meta

Harvard University

Dr. Marily Nika

Gen AI PM Lead @ Google | ex-Meta, Fellow @ Harvard | TED AI Speaker | 40 u 40

March 2026

Cohort 5

🚨🚨 𝙒𝙚’𝙡𝙡 𝙨𝙝𝙞𝙥 𝙖 free 𝙈𝙖𝙘 𝙢𝙞𝙣𝙞 𝙩𝙤 𝙚𝙫𝙚𝙧𝙮 𝙨𝙩𝙪𝙙𝙚𝙣𝙩! If you don't want a mac mini, <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/marily-nika/ai-agent-certification?promoCode=NoMaccs">get a discount off by using this link.</a>This machine is yours to keep and serves as a dedicated local workstation to run your agents securely (so your data never leaves your network).If you’ve felt the gap—great demos, messy handoffs, and nothing that reliably runs when you’re not watching—you’re not alone. The real professional challenge isn’t learning another tool. It’s building agentic workflows that create consistent output, reduce your team’s load, and make you the PM who can go from idea → prototype → deployment.✨ Week 1: OpenClaw masterclass: design and deploy an Always-On OpenClaw agent (triggers, connectors, real outputs)✨ Week 2: Claude Code Masterclass and AI-native build loops (spec → build → debug → iterate).✨ Week 3: Workflow automation with n8n: turn your work into repeatable pipelines with automation patterns (n8n &amp; Mindstudio) plus the “shipping layer”: eval checks, cost controls, failure modes, and basic observability.𝙏𝙤𝙤𝙡 𝙡𝙞𝙨𝙩OpenClaw, Claude Code, Antigravity, and practical automation tooling (n8n).You need NO coding experience at all.

From PM to Agentic Builder: the #1 OpenClaw & Claude Code Masterclass for PMs.

An Always-On Clawdbot

Build Claude Code Prototypes

Automate with Node-Based Workflows

Build a Portfolio of Shipped Agents

Earn an industry-recognized Agentic AI certification

Product Leaders &amp; Senior PMs that want to lead in an AI-native world—not just react to it

<h3>Builders ready to level up that already prototype with AI and want agentic systems, not hacks</h3>

Founders &amp; Operators that want to replace manual workflows with agents and build real leverage

Every session is intensely hands-on and practical

Arize AI, Spotify, Cruise, and Apple

Apple

Spotify

Cruise

UC Berkeley

Arize AI

Aman Khan

AI Product leader at Arize AI, Spotify, Cruise, Zipline, and Apple

Riverside, Patreon, Wix, and Appsflyer

Patreon

Riverside.FM

AppsFlyer

DuckDuckGo

Tal Raviv

Early PM @ Patreon, Riverside, Wix, AppsFlyer

Cohort 2

Cohort 3

You're using ChatGPT daily, but still feel like an outsider when engineers discuss context management, RAG pipelines, and agent memory. The gap is widening daily, and then Meta announces a new PM interview: "Product Sense with AI."Half of product sense is knowing your users. The other half? Deep intuition for the enabling technologies: what's easy, what's hard, and why.Most courses teach AI through slides and flowcharts. We take the opposite approach: you'll build your personal OS using Cursor and Claude Code, the same "exposed wires" tools engineers use.Why? Because using AI coding agents daily is like iterating on a suite of AI products with a user of one. The bottlenecks become visceral, the solutions intuitive.In this radically hands-on workshop, you'll move from chat UIs to engineering tools, build a Personal OS for daily work, and realize you've built a portfolio using every AI engineering primitive.Result: X-ray vision for any AI product. When others see magic, you see architecture. You're known for saying "let me show you" and demoing live.When Anthropic or OpenAI announce something new, you already intuited it was coming because you faced that exact problem last week.

Build your personal OS in Cursor & Claude Code—to learn AI technical foundations

Move from ChatGPT to Cursor/Claude Code for all tasks

Build a portfolio of Al products you use daily

Build confidence and gain a competitive edge amongst your peers

Develop X-ray vision for AI products

Prototype AI solutions during meetings

Lead AI transformation

C-suite executives and venture investors who need practitioner intuition to evaluate business models confidently.

Product builders who want to improve their technical intuition by building their personal AI systems.

Big Tech candidates preparing for AI product sense interviews, by building a portfolio of working AI systems they use daily.

Go from AI-curious to shipped AI product — with a repeatable workflow you own forever.

18 AI Products · 50,000+ Students

Udemy

Nathan Wang

20+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta

AI Superpower Cohort 2

AI Superpower Cohort 3

Sound familiar?- You've watched AI tutorials, but nothing you build actually works end-to-end- You can prompt, but you can't ship — there's a gap between "cool demo" and "live product"- You've tried Cursor or Claude, but deploying with auth, memory, and real infrastructure feels impossible- You know AI is reshaping your career, but you have nothing shipped to prove you can build with itThis course fixes that — in 3 Saturdays.You'll go from idea to a working AI product with real infrastructure, real deployment, and a workflow you can reuse again and again. Not a prototype. Not a localhost demo. A live product on your own domain.Built from the same system Nathan uses to run <a target="_blank" rel="noopener noreferrer nofollow" href="https://clawbot-ai.app">ClawBot</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://trade-ai.app">Trade AI</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://creator-ai.app">Creator AI</a>, and <a target="_blank" rel="noopener noreferrer nofollow" href="https://clip-ai.app">Clip AI</a> — 20+ AI agents across content, trading, research, and operations. One person. No team.🔥 Cohorts 1 &amp; 2 sold out. Enrollment closes April 27. Self-funding? <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/ai-nate/ai-superpower?promoCode=20OFF">Code 20OFF for 20% off — expires April 20.</a>

Ship Your First AI Product in 3 Weeks.

Ship a Working AI Product to Your Own Domain

Understand How AI Products Actually Work End-to-End

Add Memory, Tools, and AI Logic That Actually Works

Skip Weeks of Setup — Go From Zero to Running Fast

Learn a Repeatable Build Process for Future AI Ideas

PMs &amp; Operators Who Want to BuildStop writing specs. Ship a real AI product yourself—no engineering dependency, no no-code ceiling.

Founders &amp; Solo OperatorsShip your first AI feature fast—without hiring a team or waiting months to validate your idea.

Engineers Ready to Ship AIYou code, but AI-to-production is different. Go from API demos to a deployed product with real users.

Everything you need to make your product work for agents. Designed, built, evaluated, and shipped in 3 days.

Founder, Level 250 | 3x VP, API Products

Verisk

Moodys

Oracle

SmartBear

Precisely

Emmanuel Paraskakis

15+ years in APIs | Product Consultant for AI-Forward Companies | 3x VP PM

Cohort 9

Cohort 10

You've spent years perfecting your UI. Flowing experiences, beautiful screens, users glued to your product. Now your users are sending agents instead. The agent doesn't see your UI. It wants the most essential, irreducible form of your product's value - and if it can't get it, it moves on. To a competitor. To scraping. To telling the user it couldn't help.Your only choice is to give agents what they want: APIs, MCP servers, and the interfaces that deliver outcomes without a screen. You may have APIs, but they were built for developers who read docs and ask questions. Agents don't do that.This 3-day intensive course gets you building what agents actually need. Hands-on, not theory. You'll design agent-ready APIs, build and evaluate MCP servers, and ship an MCP App. Taught by a practitioner with the deepest background in APIs and developer products.You'll walk out as the person who's done this, not read about it. The architect who builds for humans and machines. The PM who shipped a working MCP server. The leader others come to when they need to know what's real and what's hype.

Forget how you build products. You're not building for humans anymore.

The 4 things agents want - and one they don't

Design APIs that are agent-ready

What drives MCP usability

Build two MCP Servers and test them

MCP Apps as the next product paradigm

Create an AI-Ready Roadmap for Your Organization

This is a fast-paced, hands-on course, and while you don't need to be a coder, it helps to understand HTTP basics or to have shipped an API.

Some API knowledge is required

Consider taking API Fundamentals for Product Managers first: https://maven.com/emmanuel/api-pm-fundamentals

If you need to brush up on your API skills:

We'll walk you through building with LLMs and AI Codegen tools, even if you've never used them before.

Little or no AI experience is expected

Software Architects &amp; Engineers who want high-quality, scalable tools that Agents will use long into the future.

Product Managers who want to stay ahead of the curve and quickly deliver API and MCP products that win in AI-dominated markets.

Founders &amp; Executives who want to transform their companies and fully leverage AI opportunities and a market of +1.3B users.

Your product needs an MCP server for agents to use it. Build it in 3 hours.

Cohort 1

Intro price: $249 until April 21st! Use code BMP29.Every AI agent needs a way to reach your product. MCP is how they do it. Claude, Cursor, ChatGPT, Claude Code, all speak MCP. If your product doesn't have an MCP server, agents can't use it.But most teams don't know where to start. What tools should you create? How do you name and describe them so agents actually pick the right one? How do you handle auth, errors, and testing? How do you publish MCP so agents can find it?In this workshop, you'll build two MCP servers from scratch using AI. One from a real API using Zuplo and one from just an idea with Replit. You'll then test them with MCPJam, and see how LLMs and agents use them live.The Eval loop ties it all together: generate test cases, run them against real models, establish a baseline, fix what fails, and re-test until agents pick the right tool every time. We also cover authentication, security, and token costs: the real-world challenges you'll hit when your MCP server goes to production.Walk in curious about MCP. Walk out with two published servers and the skills to build the next one.

API and Platform PMs who need to decide when MCP is the right choice and scope their first server for their product

Engineers and Architects who want to rapidly build an MCP server to start testing tool calls

Technical Founders whose product needs to be discoverable by AI agents and must understand the UX and discoverability of MCP

Use AI To Build Your AI Product

Sagar Batchu

Co-founder and CEO, Speakeasy

API PM Executive | 15+ Years, VP-Level Experience

Curate MCP servers for day-to-day work in Revops, GTM, Customer Support, Documentation and Analytics.

mcp

Cohort-based courses

Free Lightning Lessons

Use AI To Build Your AI Product

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