Iustin Iftime

Product Discovery from months to days with AI agents

Principal Product Manager at Microsoft & Lead Instructor at Brainstation London

Overview of the full framework and workflows.

Product discovery with AI agents

How AI agents speed up the traditional discovery process.

Comparison to traditional product discovery

See an AI agent that I use for accelerating my discovery work.

Examples of AI agents

To start leading Agentic AI products, build your own systems, define metrics, scale responsibly and attain a durable competitive advantage

Google

Microsoft

Amazon Web Services

Mahesh Yadav

20+ years exp., Ex-Google, Meta Research, AWS AI | 10k+ AI Alums

Cohort 6

Cohort 7

Why This Program Exists Every function/job is impacted by AI. This means opportunities need AI skills now, gone are the days of “just using an LLM” or “adding a generative widget.” The real frontier is Agentic that deliver real user-value by reason, plan, act loops.But, most PMs are busy trying to turn features into AI by chasing endless online advice—instead of learning how to turn Agentic systems into real product strategy, planning, and execution. This gap is the opportunity &amp; the problem. Top organizations aren’t just hiring AI PMs, they’re hiring Agentic AI PMs who can build, evaluate, govern &amp; scale autonomous workflows.That’s exactly why we built this cohort.How It Works<ul><li>Live Cohort Format: Weekly sessions (6+ hours) long where you build products, ask questions, get feedback, &amp; stay excited.</li><li>Tools &amp; Build Stack: Use world-class tools (v0.dev, Crew.ai, n8n, LangChain, OpenAI Agents, Microsoft Copilot Studio, Google Vertex.ai, AWS Flow, Azure Evaluator). You will build &amp; ship production-ready agents without needing to code.</li><li>End-to-end Product Pipeline: Validating feasibility using AI tenets -&gt; Creating Roadmap with moat → Evaluation→ AI pricing GTM</li></ul>

#1 AI PM Program for 3 yrs with most 5 star reviews and personalized training.

Build a foundation of AI ecosystem, ML Concepts & Agentic AI Landscape

Translating business needs into solvable AI problems

Addressing ethical challenges in AI Agent development  (Safety, Bias, Autonomy)

Create a GenAI/Agentic AI Product Portfolio

Actionable GTM and pricing plan with technical readiness for scale

Pitch preparation: Story, Metrics, Objection handling

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 ProblemAfter speaking with product leaders at Google, Meta, Microsoft, Nvidia, and Amazon, one message is clear:"The future belongs to product managers who don’t just study AI, but practice it in real-world launches." Many product managers struggle to:· Lead cross-functional teams to build real AI products· Validate AI feasibility with real data and models· Develop production-ready AI features with real users· Build credibility as someone who can deliver in the AI era The Solution: Ship and Launch Real AI Products About the AI Product Management &amp; Startup Builder BootcampThis isn’t just another course — it’s a hands-on, team-based experience where you’ll build and launch a real AI product in just 4-11 weeks. You’ll join a team of AI engineers, data scientists, and designers to:· Lead real product development from idea to launch· Validate user pain points, data availability, and model feasibility· Design, prototype, and iterate with technical experts· Build a full MVP — not a mockup — and ship it with real users· Launch your product publicly across our 100,000+ tech community From day one, your product gets real visibility and user feedback — not just classroom critique. And beyond launch:· Build a portfolio that proves your hands-on AI product skills· Strengthen your leadership and cross-functional collaboration abilities· Gain confidence in shaping AI strategy and execution· Join a network of 1,500+ PMs learning and building together· Position yourself as an AI-savvy product leader ready for the future This Isn’t Just Another AI PM Course. It’s a Proven Launchpad. We’ve been running this bootcamp long before we joined Maven. In fact,&nbsp;Product Manager Accelerator&nbsp;(our parent company) has already graduated&nbsp;5 successful cohorts, launching&nbsp;40+ real-world AI products&nbsp;last year. Two Phases. One Real AI Product.This Applied AI PM &amp; Startup Builder Bootcamp is structured in two powerful phases — designed to take you from AI beginner to AI product leader, with a real team and a real launch. Phase 1: Design Your AI MVP (Weeks 1–4)· Work with Product Managers and AI designers· Learn AI product strategy and lifecycle best practices· Build a validated AI MVP· Earn your AI Product Manager Certification· Pitch internal AI initiatives or get promoted Phase 2: Launch Production Ready AI Product (Weeks 5–11)· Work with AI engineers and data scientists· Turn your MVP into a real, launched AI product· Gain users, traction, and support through our 1500+ alumni network· Eligible for advanced alumni opportunities and funding support You can join Phase 1 as a standalone, or upgrade anytime to complete the full 11-week journey. Learn the full details of Phase 2, visit here ==&gt; https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end What Makes Us DifferentMost courses teach theory. We help you launch.· Build a real AI product with engineers, data scientists, and designers — not just a solo prototype· Launch with real users through our 100,000+ tech community — starting day one· Build tangible skills that leaders value: strategy, execution, and leadership No fluff. No guesswork. Just hands-on experience that builds lasting skills for your career. Cap into the 1500+ Product Manager Accelerator alumni network to accelerate your career.Ours students works at&nbsp;Meta | Google | Microsoft | Apple | Amazon | LinkedIn | Oracle&nbsp;| Intuit | eBay | TikTok | Nvidia | Uber | Tesla | PayPal | JP Morgan Chase | CapitalOne | Visa | Walmart 🧐Have additional questions: book a call and get your questions addressed live.https://www.pmaccelerator.io/AI_PM_Course_Application

Don't Just Learn AI, Launch it!

Course syllabus

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Tuesdays & Thursdays

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Weekly projects

Course schedule

Product managers and Sr. PM ready to upskill in AI and lead with confidence.

Engineers, Consultants, marketers, analysts, designers, and data scientists seeking hands-on experience building &amp; launching real AI product

Startup founders and CEOs who want to launch a real AI product, grow users, and explore seed funding

Product Managers with a career gap who want to gain valuable skills and fill in the gaps on their resumes.

Who is this course for

Hands-on AI product experience is what sets future-ready PMs apart from the rest.

✅ Apply the Gucci Framework✅ Build a Strategic AI Roadmap👩‍💻 Self-paced learning: Dr. Nancy Li recommends top AI courses (ML, DL, GenAI, LLMs, RAG)📚 Case Study: Analyze Google’s 10-year AI strategy🤝 Group Project: Brainstorm &amp; pitch AI product ideas

Week 1: AI Product Strategy (GUCCI Framework) and AI Basics

✅ AI Product Lifecycle✅ Hypothesis Validation &amp; Scalability✅ MVP, Launch &amp; Success Metrics✅ Model Building &amp; Training🔍 Case Study: Applying AI to Apple Watch – full lifecycle breakdown🤝 Group Project Kickoff: PMs pitch ideas &amp; form teams with AI designers

Week 2: End-to-End Al Product Management Lifecycle

✅Overview of Al models✅Trade-offs and decision-making✅Pricing strategies🏗️Case Study: Comparative analysis of Al models for different applications⚓Group Project: Conduct voice-of-customer interviews and validate AI hypotheses

Week 3: Existing LLM and Al Models, Trade-offs, and Pricing

⛳Description: Students have a deep dive on advanced AI topics&nbsp;💻Key AI Knowledge: Agentic AI, MLOpps, Langchain, Data pipeline, Data drifting, Concept drifting...🤼‍♀️AI Developer Team Match: Pitch ideas and team match with developers and a demo of product mockup and roadmap

Week 4: Advanced AI

In <a href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end" rel="noopener noreferrer" target="_blank">Phase 2</a>, you'll build and launch your AI product with a team of devs and data scientists. Top teams get funding, promo support, and intros to incubators like YC. Start with Phase 1 or upgrade anytime to the <a href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end" rel="noopener noreferrer" target="_blank">full 11-week journey!</a>

Week 5-11: AI PM BOOTCAMP - PHASE 2 | Build and launch your real AI product with a team of AI engineers, data scientists, and designers

I’m on a mission to help launch 1,000+ AI products and empower professionals like you to become the next generation of AI product leaders — impacting millions of lives through real-world innovation. Let’s build your product — and your future.﻿— Dr. Nancy Li

Our Mission

Go beyond theory — Lead a team of developers and designers to build and launch a real life AI product

Dr. Nancy Li

Award-winning AI Product Director, Forbes-Featured, MIT, 100k+ followers

Cohort 2

Cohort 3

Common Challenges Faced by PMs in AI Projects 1- Justifying AI decisions and demonstrating ROI to stakeholders. 2- Navigating the hype versus the real capabilities of AI. 3- Communicating across teams without deep technical knowledge. 4- Dealing with inconsistent, missing, or messy data. 5- Aligning priorities and expectations between product and engineering. 6- Addressing ethical risks and bias in AI systems. 7- Keeping up with rapidly evolving tools, frameworks, and best practices. If these are your challenges lately then this course is for you. It’s a hands-on, live, interactive course designed for Engineers and technical Product Managers. Perfect for those with a strong familiarity with technical development and who enjoy building prototypes. What You'll Learn 1- Translate AI concepts into clear business value propositions. 2- Ground product roadmaps in realistic technical constraints and opportunities. 3- Communicate effectively with engineering teams—no deep ML expertise required. 4- Apply practical frameworks to align product vision with technical execution. 5- Navigate messy or incomplete data to build functional, user-centric solutions. 6- Identify and address ethical and bias-related risks early in development. 7- Select scalable AI tools that support long-term product growth. 8- Craft metrics and narratives that demonstrate AI impact to stakeholders. 9- Build prototypes with no-code tools like Lovable to quickly test and validate ideas. Course Format - Duration: 4-5 weeks- Live, instructor-led sessions with interactive discussions- Real-world case study following an AI product from discovery to deployment- Hands-on activities to apply frameworks and concepts- Access to a community of peers for collaboration and support Why This Course is Unique For the first time ever, a Product Manager and an Engineer are joining forces to teach AI product management. This unique collaboration combines product strategy with technical know-how, giving you the tools to not only understand AI’s potential but also execute successful AI projects from start to finish. Through this course, you’ll have access to a dedicated channel where you can ask questions, share challenges, and connect with peers and instructors. After each live session, you’ll receive a recording to review at your own pace, ensuring you never miss important details. You’ll walk away with a deep understanding of how to scope, prioritize, and launch AI products that drive tangible results and create value across teams. Who this course is not for: If you are someone who is expecting to do plenty of hands-on coding.

Leading Cross-Functional AI Product Development

July 19 - Aug 10, 2025

Product Managers new to AI or looking to deepen their AI skills to lead AI Products and collaborate effectively with AI tech teams

AI Engineers, Software Engineers and Engineering Leaders looking to collaborate effectively with Product leads to drive successful outcomes

Program, Project, Strategy, Marketing, UX Design/Research and Business Leaders seeking an understanding of how to bring AI Products to mark

What you’ll get out of this course

How to set learning intentions and align on goals so you can collaborate meaningfully in the cohort. You'll leave with clarity on the case study and your learning journey.

Introductions & Case Study Kickoff

You’ll develop the skills to translate complex AI outcomes into clear business value, ensuring stakeholder alignment and securing the support you need to move projects forward.

Communicate AI product value to leadership and cross-functional teams

How to frame and prioritize AI use cases so you can discover viable, high-impact product ideas. You'll leave with a prioritized list and prototyping prompts.

Master iterating on AI products: gather feedback, improve, and scale

Learn AI with clear, jargon-free explanations from Deepa, an ML Engineer with over 8 years of experience. You’ll master foundational concepts so you can make informed decisions and speak the language of your tech team.

Learn core ML/AI Foundational concepts and know when to apply them in real product scenarios.

Learn to identify use cases where AI can drive real value and spot scenarios where it’s overkill. Armed with this clarity, you’ll make smarter decisions, avoid costly missteps, and build products that solve problems without creating new ones, like bias or user distrust.

Understand where AI can be leveraged effectively and where it won’t help

Foster true collaboration with your technical teams, ensuring your product vision aligns with their realities. You’ll gain frameworks to bridge the gap between product goals and technical constraints, enabling you to ship AI products faster and more effectively.

Collaborate seamlessly with data scientists and engineers to build winning AI products

Tackle the ethical minefield of AI with confidence by learning to identify and address issues like bias, fairness, and privacy concerns before they derail your product; keeping your users safe and your company out of hot water.

Navigate ethical and regulatory challenges in AI

Learn to evaluate the right technologies for every stage of product development. Whether it’s choosing the best LLM for a chatbot or a vectorization tool for search functionality, you’ll build a toolkit that saves time, cuts costs, and delivers results tailored to your goals.

Leverage the best AI tools to enhance productivity as part of daily workflows

You’ll learn to account for AI’s unique challenges, like data prep, model training, and iteration cycles, so you can deliver on time without compromising quality or over-promising.

Design realistic and relevant AI timelines to meet business objectives

Among the sea of Gen AI Tools, use the right ones that can drastically improve your productivity as a product manager

Leverage Gen AI Tools to increase productivity

Build AI Products at Enterprises, Startups or on the side! https://testimonial.to/building-ai-products-bridging-product-tech-gaps/all

Deepa Krishnamurthy

Avinash Mahalingam

Cohort 1

Do check the TESTIMONIALS of programs taught by Deepak: https://testimonial.to/deepak-singh/all Learning AI is no longer optional for product managers. Product Management &amp; Products are evolving very quickly. PMs are already being asked to lead AI-driven initiatives—but most don’t yet have the skills or confidence to step up or unsure how to contribute meaningfully. You might be able to get by today. But in a year, not understanding AI will hold you back from key roles, launches, and promotions. This is about future-proofing your role, earning trust, and stepping into the kind of product leadership only a few PMs are ready for. WHY THIS PROGRAM NOW: Most AI courses for PMs are technical or theoretical—this is neither.This program is designed for PMs, by a product leader, with one goal: to make you confident and competent in leading AI products without knowing coding. Here’s what makes it different: - You’ll build a real, portfolio-ready AI product as a capstone project within 12 weeks—without coding- You’ll learn to identify opportunities, scope out, assess feasibility, and manage AI product lifecycle end-to-end- You’ll master how to make trade-offs in performance, cost, and ethics—like real PMs do- You’ll walk away with the frameworks, language, and clarity to lead in rooms where AI is being defined HOW DOES THIS PROGRAM WORK - You can apply for the program by filling in the application.- You will receive the shortlisting status by end of the month or 2 weeks before the start of the program, whichever is nearest. You will get an option to pay and enrol directly.- If you have follow-up queries before enrolment, you will be invited for a session with Deepak.- Once enrolled, participate in weekly 4-hour sessions over 8 weeks with Deepak, every Saturday from 9 am - 1 pm IST. - Real-time doubt resolution through live sessions, and Whatsapp community- Access all the recordings of this course on pmcurve.com in case you missed a session or part of it.- Capstone in the last 4 weeks of the program where you will build an AI Product of your choosing without coding.- Join the community for support and have your questions answered by Deepak and peers within 24 hours. THIS PROGRAM IS NOT FOR YOU IF- You are not in the Product Team or have less than a year of experience in Product- You are looking to just learn the theory and not able to commit to apply the learnings.- You do not understand the tech terms like Architecture, Databases, System Design etc. (Hint: Go read Tech Simplified Book for this)

Learn to lead AI Products with confidence—without knowing coding, 100+ learners

Hands on experience of working with tech team on building products is essential.

2+ Years of Experience in Product

Be comfortable with tech concepts like APIs, architecture, and system design (reading Tech Simplified is recommended). No coding required.

Have Basic Tech Understanding

You'll need focus, dedicated time, and a builder's mindset to actively apply what you learn—not just passively absorb the theory.

Commitment To Learn

Live classes for 8 weeks for all enrolled learners

Regular Classes - Saturdays

This session would be optional and will be conducted by Deepak for those who plan to do the capstone project.

Project Hours - Sundays

Course Schedule

An experienced PM, SPM, or Product Leader preparing to lead AI initiatives

A founder building AI into your product

Ambitious PM ready to uplevel your career with real, practical AI fluency

Discover and evaluate real AI opportunities using structured frameworks, feasibility checks, and ROI thinking

Translate AI opportunities into actionable product specs, with clear PRDs that reflect business goals and tech constraints

Master the basics of core AI/ML concepts every PM needs—from supervised learning to foundation models and multi-modal interfaces

Design user experiences that embrace uncertainty, build trust, and incorporate user feedback in AI flows

Apply hands-on techniques like prompt engineering, RAG, and model finetuning to shape product outcomes

Learn how to work alongside engineering and data teams across training, deployment, evaluation, and iteration specific to AI Products

Integrate safety, governance, and ethical considerations into your product roadmap—not as afterthoughts, but as design inputs

Launch and scale AI features responsibly, with attention to performance, cost, and long-term maintainability

Experience the true complexity of AI product building—identify gaps, iterate through real decisions, and walk away with the confidence only practice can bring

Add a real AI product to your portfolio—designed, built, and shipped by you (no coding required), applying everything you've learned

Build Production-Ready AI Products in 8 Weeks: AI Product Management, AI Prototyping, Deployment, AI Strategy

For PMs with 2-20 yrs experience or Founders. Build production-grade AI product in 8 Weeks in live working sessions, even without a coding background.

Lightning Lessons

Product Discovery from months to days with AI agents