Ranbeer Makin

AI Educator, 19+years of experience in software engineering field

Jev 101 - System One Model

Understanding of System One Model

LLM vs Jev

Jev examples with code and nocode walkthrough

Jev use cases

AI first PM: Tech 101, Claude mastery, AI agents, Vibecoding and Evals.

Lead PM @ Booking.com, PhD CS

Vladimir Kalmykov 

PhD Computer Science, first Tech PM in Booking.com, author @ ProductDo.io 

Sr. PM ML @ Booking.com, MBA

Andrew Mende

Sr ML Product Manager Booking.com, MBA

Cohort 10

Cohort Nov'26

✅ Why invest in learning with us?<ul><li>We’re Lead PMs at Booking.com, each with 10+ years of product experience</li><li>We have a rule: we teach only what we actually use in our day-to-day product work, with a strong focus on practice over theory</li><li>More than 14,000 students have already learned through our hands-on, “learn by doing” approach in ProductDo.io Simulators</li></ul>✅ Modern AI-first PM:<ul><li>Use AI agents (e.g. Claude Code) to accelerate the routine (sprints, analytics, PRDs, etc)</li><li>Can easily vibecode a UI feature, and then connect it to real APIs</li><li>Can set robust AI Evals to judge the quality of LLM features in their product</li><li>Knows the basics of Tech (APIs, services, tools, MCPs) to confidently lead their tech team</li></ul>✅ What makes this course different?The course is 80% hands-on because that’s how real skills stick. Don't be scared - you are a hand-held all the way. We simulated a startup for you with:<ul><li>real Jira backlog that you analyze with Claude</li><li>real codebase on top of which you vibecode new features</li><li>real customer support chats that you need to build evals for</li><li>and more</li></ul>You're the main character - a PM who solves product tasks. Check out the Free Resource on Evals below to get the feel of the flow.

Learn by doing in a simulated start-up experience. From acting Lead PMs.

Gain tech fluency to speak the same language with your dev / AI team 

Learn how to use Claude to delegate routine tasks and build custom agents

Add LLM features, measured by evals and LLM-judges

Start vibe coding confidently to turn ideas into working software

The course is designed to explain all the topics from scratch. 

No prior tech or AI experience needed

You need Claude Pro (20$) to do exercises from the course. 

Claude Pro for 1 month

Senior Product Managers who want to level up their skills with new tech and AI skills

Jr/Middle Product Managers who want to lead with confidence and accelerate their growth

Program/Project Managers, Producers, Designers, Data Analysts, because tech and AI-topics are the same for everyone (see reviews)

Go from staring at a blank folder to a Claude Code AI system that you actually use in your life or business, in 6 weeks.

Cohort Batch 2

Production-Grade AI Builder & Educator

Dheeraj Sharma

AI systems builder & educator. 20 yrs enterprise software, 10K+ audience

Founding Batch

Cohort 3

You watched the YouTube tutorial. You installed Claude Code. You opened a terminal and stared at a blank folder.The bar for what anyone can build alone is rising fast. The gap between people who use AI tools and people who build AI systems widens every month.Most Claude Code attempts die in 20 minutes.Not because the tool is hard, but because nobody showed you what is possible before asking you to build.Tutorials &amp; self-paced courses don't get you there. You need an instructor watching as you build, and other builders alongside you so you don't disappear after Week 2.Founders and creators build without writing code. PMs, QA engineers and developers build faster.In 6 weeks, you build a Claude Code system that runs part of your business:✅ turns your inputs into your outputs in your voice✅ connects to your real tools (Gmail, Notion, Drive, Calendar) through MCP servers✅ automates multi-agent pipelines through a live Hot Seat Build✅ reaches you on your phone; runs on a schedule without you✅ follows KIAE, my own agent-building frameworkSession 1 Guarantee: Leave with clarity and confidence that this cohort is right for you. Else full refund. No questions.

Stop staring at the blank folder. Build a Claude Code AI system that ships.

01. Pick the right problem to automate with Claude Code 

02. Install Claude Code and ship your first working system

03. Build a knowledge layer that makes outputs sound like you

04. Wire your system into your real tools with MCP

05. Build multi-agent pipelines through a live Hot Seat Build

06. Run your first scheduled agent and ship your capstone

You will be typing in a terminal during live sessions. A real keyboard and full OS are required.

A laptop for each live session (Mac, Windows, or Linux. No tablet-only setups)

Claude Code runs on your Claude account. Free tier will hit limits during the live builds. Pro is the minimum.

An active Claude Pro subscription ($20/month) or Claude Max

<pre><code class="language-markdown">PM, QA engineer, developer or team lead who uses AI at work every day and wants to build systems that run whole tasks end to end.</code></pre>

<pre><code class="language-markdown">Content creator or newsletter writer who tried Claude Code once, hit the blank folder, and gave up before shipping anything.
</code></pre>

<pre><code class="language-markdown">Solo founder or small business owner drowning in research, lead-gen, drafts, client summaries who wants AI system to handle the repeat work.</code></pre>

AI System Design for PMs: Going from Chess to 3D-Chess

18yrs: Amazon, Google, Microsoft. MBA/MS

Amazon

Google

Microsoft

Godhuli Chatterjee

18yrs Amazon (L7, 9yrs), Microsoft (3yrs), Google (3yrs) MBA/MS Bar Raiser 8yrs

Cohort1SysD

Promo Code TEN for 10% off!The advent of GenAI changes the system design interview because the product architecture now includes a behavior-producing system inside the product system. PMs must reason about both the deterministic software layer and the probabilistic AI layer.SELF PACED STRUCTURE:<ul><li>1:1 Career &amp; Resume Strategy Session (15 Min): A private, 1-on-1 call to review your resume, position your AI experience</li><li>AI Systems Walkthrough Videos + Complete Notes: Deep-dive video walkthroughs. You will explore the complex technical trade-offs, and master real-world AI system design needed to get that offer letter.</li><li>Gamified Learning Tool: A structured, milestone-based learning tool designed to keep you accountable and engaged from start to finish.</li><li>Self-Paced Mock Interview Tool Access (5 Cases to Practice and Interact at your own pace)</li><li>Real-World Case Studies</li><li>Knowledge Checks: Targeted quizzes on every milestone. </li></ul>

How to connect business impact to architecture and AI behavior

System Design Fundamentals for PMs

Learn real world AI Product Use Cases

Program, Marketing and BI strategists that are exploring career growth as AI Operators

Your team's work all looks polished. Know in 10 minutes who can explain it.

Exec Coach to Google, PayPal, the NFL

PayPal

U.S. Army

Joshua Miller

Master Certified Exec Coach to Google, PayPal, Amazon | LinkedIn Top Voice

Cohort 1

Reviews are due, and your team hands you AI-assisted work every week. You still have to rate your team, defend each rating in calibration and say who's ready for promotion. "Their work looks good" won't hold up, because everyone's does.40% of desk workers say they received AI work in the past month that looked finished but missed the mark. Reviews are slipping too: 78% of managers used AI to help prepare feedback or reviews in the past year, and only 16% of employees were told.In 25 years of coaching leaders, I see managers handle this one of two ways. They rate what's on the page and promote someone who can't do the job without the tool. Or they go with their gut and can't defend it when someone pushes back. I've managed teams before, so I know firsthand what it means to get it right when reviewing another person's work, and to make it meaningful.This workshop gives you a third way. Three questions, asked in any 1:1, show you who can explain and defend their work, and turn your reviews into conversations that mean something. In one afternoon you build the kit on your own team and leave with a playbook for this review cycle and every one after.

Walk away with a ready-to-run review kit: six tools and a 10-step playbook, built on your own team, for every 1:1 and performance review.

Define the decisions each role must own

Test whose thinking is in the work in any 1:1

Rate AI-assisted work the same way every time

Write review evidence you can defend in calibration

Hold the review conversations managers put off

Set one standard for your whole team

People managers who run 1:1s and write reviews. Every draft looks polished, and you can't tell who could do the work without AI.

Directors heading into calibration. Every report's work looks strong now, so you need real evidence to defend each rating to your peers.

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

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

AI for GTM

Sales

Customer Success

GTM Engineering

Everyone

Founders

Operators

Data Scientists

Business Analysts

User Researchers

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Product managers who drive strategy, development, and launch of products.

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.

Automating professional workflows with AI tools — productivity, operations, and task automation.

Jev 101 - System One Model

What you'll learn

Why this topic matters

You'll learn from

Ranbeer Makin