LIVE ONLINE COURSE

PRODUCT MANAGEMENT FOR AI & ML

Dates: 4 MAY 2026 - 17 JUN 2026

Duration: 6 WEEKS
MONDAYS & WEDNESDAYS
5:30 PM PT / 8:30 PM ET

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SWAROOP DESAI
META

LIVE ONLINE COURSE

APPLY

Build smart products and a smarter career. Learn how to turn AI & ML potential into real-world impact through strategy, data, and product vision.

Swaroop Desai, an experienced Product Manager who leads innovative projects at Meta, will teach you to design, launch, and scale AI-powered products that deliver real business value.

THIS COURSE IS FOR YOU, IF...

YOU ARE A PRODUCT MANAGER ASPIRING FOR AN AI ROLE

Close the gap in your AI knowledge and skills. Build competence in state-of-the-art AI and ML techniques, gain clarity on the ML/AI landscape and value chain, and learn how to solve user problems with AI while driving and measuring real business outcomes.
YOU ARE A JUNIOR AI/ML PM LOOKING FOR A CAREER BOOST

Bridge the experience gap. Learn strategic AI applications through industry best practices. The practical focus, including market research, prototyping, data-driven decision-making, guarantees a tangible and career-enhancing learning journey.
YOU HAVE PM COMPETENCE AND WANT TO WORK ON AI/ML PRODUCTS

Transition seamlessly into AI/ML PM. Perfect for professionals in various roles, from managers to data scientists to business owners, the course provides essential technical knowledge, fosters effective communication with tech experts, and equips you to contribute confidently to AI/ML product initiatives.

IN-DEPTH LEARNING

We dive deep into the full lifecycle of AI product management: from framing the right problems to shipping intelligent solutions that move the needle. Each class stacks practical skills, frameworks, and tools so you can go from AI-curious to AI-confident.

REAL-WORLD PRACTICE

With workshops, case studies, and guest sessions from AI leaders, you’ll dissect systems behind Spotify recommendations, ChatGPT-style assistants, and autonomous vehicles. Then build your own strategies using prompt engineering, evaluation frameworks, and PM productivity tools.

CAPSTONE PROJECT

Your final project doubles as your AI product pitch deck – a full end-to-end strategy that defines the problem, AI solution, user value, and business KPIs. You’ll also craft a metrics and optimization plan that proves your ability to measure what matters. Clear, practical, portfolio-ready.

SWAROOP DESAI

LinkedIn Profile

Lead Product Manager at Meta
Leads AI innovation for Facebook, driving the integration of Generative AI into the core app experience and making advanced AI capabilities accessible to over 2 billion daily users
Spearheaded the AI transformation of Facebook Search, redefining how users discover content through intuitive, data-driven, and personalized search experiences that boost engagement and satisfaction
Championed high-impact initiatives including content search growth, video SEO for Facebook, and a strategic partnership with Google to create a scalable acquisition channel for video content
Pioneered the video product experience for large-screen devices, bringing Facebook’s video ecosystem to desktop and TV platforms and expanding user engagement beyond mobile
Brings a decade of cross-industry product management experience, spanning enterprise and consumer products, with a focus on delivering solutions that evolve with the pace of technology

THU (4/30) AT 5:30 PM PT/8:30 PM ET

👋 Welcome Class: Orientation & Course Overview

☝️Takeaway: You’ll understand the course structure, expectations, and how your capstone will apply real AI PM skills end-to-end.

Class description: Start your AI PM journey with a clear roadmap, meet your cohort, and understand how each class builds toward your capstone and career goals.

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MON (5/4) AT 5:30 PM PT/8:30 PM ET

👨🏼‍💻 The Role of the AI Product Manager + Industry Landscape

☝️Takeaway: You’ll be able to articulate the AI PM role, the AI product lifecycle, and where opportunities fit within today’s AI market.

Class description: Get a clear picture of what AI PMs actually do, how they differ from traditional PMs, and how they create value across business, data, and engineering.

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WED (5/6) AT 5:30 PM PT/8:30 PM ET

🎯 Defining and Framing an AI Problem

Assignment #1

☝️Takeaway: You’ll be able to frame an AI problem using feasibility, ROI, and risk criteria, ready for stakeholder alignment.

Class description: Learn to identify high-impact AI problems, evaluate feasibility, and craft value-focused, risk-aware problem statements.

Assignment #1

AI Product Landscape & Opportunity

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MON (5/11) AT 5:30 PM PT/8:30 PM ET

💾 Data in AI Products and Use Cases

Case Study

☝️Takeaway: You’ll know how to identify required datasets, assess data quality, and map data needs to your AI product concept.

Class description: Understand how data powers AI products, how datasets are designed, and what governance and ethics look like in real use cases.

Case Study: Recommender & Ranking Systems
Class Activity: Group discussion on defining data needs for your capstone

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WED (5/13) AT 5:30 PM PT/8:30 PM ET

🤖 AI Concepts for Product Managers

Assignment #2

☝️Takeaway: You’ll be able to explain core ML concepts, model behavior, and limitations to guide product decisions confidently.

Class description: Build a practical, non-technical understanding of ML: how models learn, how they fail, and how to evaluate them as a PM.

Assignment #2

Problem Framing & Product Concept

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MON (5/18) AT 5:30 PM PT/8:30 PM ET

⚙️ Generative AI and Prompt Engineering + Workshop

Workshop & Case Study

☝️Takeaway: You’ll be able to design and refine prompts — and use genAI prototyping — to solve defined business use cases.

Class description: Explore generative AI capabilities, user experiences for probabilistic outputs, and core prompt engineering patterns.

Workshop: Iterating on prompts for real business problems
Case Study: Automated Customer Service & Virtual Assistants

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WED (5/20) AT 5:30 PM PT/8:30 PM ET

🔍 Exploring Generative AI and AI Product Opportunities + Case Study

Demo & Case Study

☝️Takeaway: You’ll be able to map genAI workflows (RAG, agents) to product goals and evaluate where they create business value.

Class description: Identify high-value generative AI opportunities and learn how RAG, agents, and multi-step AI workflows shape modern product strategy.

Demo: Designing simple agentic AI flows
Case Study: Self-Driving Cars & Autonomous Systems

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WED (5/27) AT 5:30 PM PT/8:30 PM ET

📈 Measuring Business Impact for AI Products

☝️Takeaway: You’ll be able to translate business goals into AI KPIs and design experiments that validate real product impact.

Class description: Learn how to define success for AI products using KPIs, experimentation frameworks, and ROI-driven measurement.

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MON (6/1) AT 5:30 PM PT/8:30 PM ET

🛡️ Responsible AI and Governance + Guest Speaker

Guest Speaker

Assignment #3

☝️Takeaway: You’ll be able to evaluate AI products for bias, privacy, transparency, and governance maturity using practical tools.

Class description: Build fluency in ethical AI, governance frameworks, and compliance standards that ensure safe and trustworthy AI products.

Guest Speaker

Assignment #3

Responsible AI, Features & Prompt Design

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WED (6/3) AT 5:30 PM PT/8:30 PM ET

📃 Execution and Go-To-Market Strategy + Workshop

Workshop

☝️Takeaway: You’ll be able to create a GTM plan that connects product insights, positioning, and launch strategy for an AI product.

Class description: Learn to manage AI product development and launch strategy, including cross-functional alignment and GTM planning.

Workshop: Drafting the GTM plan for your capstone

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MON (6/8) AT 5:30 PM PT/8:30 PM ET

👥 AI Teams, Deployment, and Post-Launch Monitoring + Workshop

Workshop

Assignment #4

☝️Takeaway: You’ll be able to collaborate with AI teams and define a monitoring plan that detects drift, issues, and performance changes.

Class description: Understand how AI products ship and evolve through deployment, scaling, monitoring, and incident response.

Workshop: Post-launch monitoring strategies

Assignment #4

Product Metrics & Experimentation Plan + Capstone Project: End-to-End AI Product Pitch & Strategy

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WED (6/10) AT 5:30 PM PT/8:30 PM ET

🌟 Future Trends and Strategies in AI Product Management

☝️Takeaway: You’ll be able to assess upcoming AI trends and position yourself and your product for long-term strategic impact.

Class description: Explore future AI architectures, agentic AI, personalization, and how AI PM roles evolve as organizations scale AI.

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MON (6/15) AT 5:30 PM PT/8:30 PM ET

🎓 Capstone Showcase and Course Wrap-Up

☝️Takeaway: You’ll finalize and present an end-to-end AI product strategy with actionable feedback from peers and instructors.

Class description: Present your AI product strategy, get expert feedback, and consolidate everything you’ve learned into a portfolio-ready output.

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WED (6/17) AT 5:30 PM PT/8:30 PM ET

🚀 Career Guidance

☝️Takeaway: You’ll know how to build an AI-enhanced PM portfolio, optimize your resume, and plan your next learning steps.

Class description: Get practical guidance on using AI tools for portfolio building, job applications, and continuous learning as an AI PM.

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What our students say

Stacey Ramia

PRODUCT MANAGEMENT FOR AI & ML
"I enjoy the live, engagement with the instructor, as it helps to also hear discussions with others. The course content is well constructed so that it's easily digestible for a complex subject. Also, I like the depth of the assignments as it mocks the real world, so it helps to gain that knowledge and experience. Many courses don't have this offering."