Learn AI with Jyothi

Why MCP Matters for Product Managers

PyTorch

Amazon Web Services

Etsy

Netflix

Jyothi Nookula

Director at Netflix (ex- Meta AI, AWS AI, and Etsy AI/ML)

Define Model Context Protocol and understand their core technical components and workflow advantages

Understand MCP Fundamentals

Identify specific opportunities where MCP can create competitive advantages in a product portfolio

Evaluate Strategic Impact

Apply MCP concepts directly to specific product challenges through guided exercises that yield actionable next steps

Workshop Practical Solutions

This course is designed for:Product Leaders who are early in their AI journey but need to make strategic decisions about AI now. More specifically:👍🏼 Current Product Leaders (managing PMs) who:•	Have strong product leadership experience but limited AI expertise•	Need to make strategic decisions about AI implementation•	Must guide their teams through AI transformation•	Want to confidently evaluate AI opportunities and risks 👍🏼 Senior Product Managers transitioning to leadership who:•	Are taking on or about to take on team leadership responsibilities.•	Need to understand AI from a strategic rather than just a tactical perspective.•	Want to develop AI-driven leadership skills before stepping into larger roles. 🚫 This course is NOT for you if:•	You are primarily interested in individual contributor AI skills•	You are just starting your product management career•	You are looking for deep technical AI implementation details ﻿So, what's this course about? 🎯 The ChallengeProduct leaders today face mounting pressure to:•	Navigate an increasingly AI-driven product landscape•	Make high-stakes decisions about AI implementation•	Lead teams through rapid technological change•	Balance innovation with responsible AI practices Most product leaders—regardless of their current AI expertise—struggle to effectively integrate AI into their workflow and product strategy, risking falling behind as AI reshapes product management. ✨ Why This CourseThis intensive 3-week program is designed for product leaders at all stages of their AI journey, whether you're:•	Just starting to explore AI capabilities•	Looking to move beyond basic AI tools to strategic implementation•	Ready to lead teams through AI transformation•	Wanting to make more informed decisions about AI in your product strategy•	Aiming to stay ahead of AI trends while maintaining focus on business outcomes 📚 Program Structure•	6 live interactive sessions (90 minutes each)•	3 practical assignments with peer review•	Comprehensive final project•	Direct access to instructor support 💫 What Makes This Course Different•	🎯 Built for Product Leaders: Focus on leadership challenges and strategic decisions, starting from the basics.•	⚡️ Immediately Applicable: No prior AI expertise required—apply learnings directly to your current role.•	🤝 Learn from Experience: Benefit from 20+ years of product leadership expertise.•	📈 Results-Focused: Clear frameworks and tools for implementing AI across your organization, with guidance every step of the way. Transform your approach to product leadership in the AI era. Go from feeling uncertain about AI to confidently leading AI initiatives in just three weeks. No advanced AI knowledge required—just bring your product leadership experience and readiness to learn.

Make AI decisions with confidence - even without a technical background.


Course syllabus 


Interactive lectures, discussions, and workshops.

Six Live Interactive Class Sessions


Apply what you've learned to your work environment.

Four "assignments"


All you need to do is ask; topic of discussion is your choice.

Office Hours


Develop a draft AI integration strategy for your product line or organization, incorporating learnings from all aspects of the course.

Final Project


Course schedule

...Product Leaders (someone who manages PMs) looking to understand how AI impacts their role, their team, and their product strategy.

...Senior-level Product Managers aiming to advance to a Product Leader role, seeking to develop AI-driven leadership skills.

...Startup Founders who recognize the critical importance of building and leading an AI-ready product team to drive innovation.

This course is designed for...


What you’ll get out of this course

🎯 Identify high-impact opportunities for agent implementation🏗️ Design effective agent architectures and boundaries🧪 Create testing frameworks specific to autonomous systems🛡️ Implement appropriate safety and ethical controls

JUST ADDED: Develop AI Agent Strategies


🛠️ Get hands-on experience with ChatGPT, Claude, Perplexity, ChatPRD, and Wisary AI⚡ Set up your workspace for maximum AI productivity📚 Receive a curated library of prompts for product management tasks

Master Essential AI Tools


⏱️ Cut days or weeks from market analysis and requirements writing📝 Generate and evaluate product requirements with AI assistance🗺️ Create data-driven roadmaps and prioritization frameworks

Speed Up Your Product Decisions


📊 Apply the AI Competencies Framework to assess your team📈 Create targeted learning plans for different team members🌱 Create an environment where your team confidently embraces AI innovation

Lead Your Team's AI Transformation


📋 Learn frameworks for success metrics, risk assessment, and implementation timelines🔄 Build robust AI product development processes✅ Manage risks and ensure quality in AI implementations

Develop AI-Enhanced Products


🎯 Create compelling presentations and reports💼 Build business cases for AI initiatives🤝 Address common concerns and misconceptions

Enhance Stakeholder Communication


💡 Use AI to rapidly test product concepts🎨 Create functional prototypes using AI tools🚀 Accelerate your development cycle

Prototype and Iterate Faster


🏢 Drive responsible AI adoption across your company⚖️ Apply the Key Principles of AI Ethics framework (transparency, fairness, accountability, privacy, safety)📐 Implement practical AI governance frameworks that scale

Lead Your Organization's AI Journey


💪 Multiply your impact by strategically applying AI to product management🎯 Use the AI in Product Lifecycle framework to identify high-impact opportunities🔄 Create sustainable systems for staying current with AI

Scale Your Product Leadership


👥 Learn alongside experienced product leaders💭 Share challenges and solutions with peers🤝 Build relationships that last beyond the course

A Community of Product Leaders


📝 Receive personalized feedback on assignments📞 Schedule one-on-one coaching calls📧 Get rapid responses to your questions via email

Direct Access to Me (20+ Years Product Experience)


[UPDATED - now includes AI Agents] Transform from AI-curious to AI-confident Product Leader in 3 weeks - no technical background required. 


Michael Hirsch

20+ years in Product | Strategy Professor | AI and Product Coach | Engineer

Did not happen

Cohort 6

The best product managers&nbsp;rely on data and analytics to build better products and drive more impact within their organizations. While AI has given all PMs a level playing field, you need to know the right tools and when/how to use them to take advantage. In this 3-week course, I will teach introduce you to AI-based tools and workflows to master product analytics in your day-to-day work and get ahead. WHAT YOU CAN EXPECTThis is a tactical course that will equip you with the tools, frameworks, and prompts you can apply immediately in your job. By the end, you'll be empowered to perform 80% of your product analytics independently via AI-assisted analytics – so you can move faster and make data-driven decisions without the help of a dedicated data scientist. WHY LEARN FROM MEI bring 15 years of experience working in data and AI as a founder, data leader, and product manager at high-growth technology companies like Lyft and Stripe. As a product manager leading the development of data and AI products at Stripe, I stay on the bleeding edge of new AI tools in a rapidly changing environment. I will share with you insights and tips you won't find elsewhere, and each cohort of this course will learn the latest AI tools and techniques as soon as they become available. COURSE OVERVIEWThe course covers the core analytics tasks product managers face with in their day-to-day jobs. For each of the tasks, I will teach you the foundational knowledge, the right AI tools to do the job, and the techniques to achieve optimal results: Week 1: Product Metrics• Define product metrics using custom prompts paired with LLMs like ChatGPT and Claude.• Design, validate, and visualize data schemas and events with LLMs and prototyping tools like v0 and Bolt. Week 2: Data Analysis• Calculate product metrics with natural language and simple retrieval-augmented-generation (RAG)• Write, troubleshoot more accurate SQL queries with natural language and custom business context techniques• Perform common analysis tasks like cohort analysis, funnel analysis, customer segmentation, forecasting, and root-cause analysis using Claude and MCP servers. Week 3: Data Storytelling• Create data-driven slides with Google Slides and MCP• Build and update growth models for your product with Claude and Google Sheets• Automate business and growth updates with ChatGPT and Claude and custom prompts. Each week covers a single module that contains: • Recorded video content that you can watch on your own schedule.• Supplemental resources to help you learn and go deeper.• Live workshop dedicated to case studies and group discussion• HW assignment that helps you practice the skills you learn at home.• Optional AMA / office hours where I answer questions and provide HW feedback. WHO WILL BENEFIT MOST FROM THIS COURSE• Product managers who want to become "super ICs" by learning the latest AI tools and staying ahead of the curve.• Product managers who want to become data-driven product leaders at their companies.• Product managers, founders, and business leaders who want to use AI to save time or become self-sufficient with data. WHO THIS IS NOT FOR• This course is not for you if you're not interested in doing some hands-on work. You will be experimenting with AI tools and data.• This course is not designed for experienced data analysts or scientists. We won't get into advanced technical topics.• This is not for you if you work at a company that's pre-PMF or where data doesn't play a big part in product development (e.g. non-software). Most of the tools and content we cover won't be applicable to you.

Accelerate your analytics workflows with AI

Course syllabus

Live course instruction over 2 weekends. Each 3 hour session corresponds to a module.

Saturdays and Sundays

We will have 4 take-home mini-projects that give you an opportunity to apply the learnings and frameworks from the modules.

Hands-on projects

Each week I will host office hours to answer questions and topics from the course.

Office hours (optional)

Product managers who want to become "super ICs" by learning the latest AI tools and staying ahead of the curve.

Product managers who want to grow into data-driven product leaders at their companies.

Product managers, founders, and business leaders who want to use AI to save time or become self-sufficient with data.

Who is this course for

<ul><li>Understand the different kinds of AI tools (LLMs, reasoning models), techniques (RAG, context windows), and how/when to use them</li><li>What MCP is and how you can use it for data analysis</li><li>Gain insight into broader industry trends with AI for analytics</li></ul>

Mastery of AI fundamentals

<ul><li>Frameworks for defining product metrics and data schemas</li><li>Overview of analysis techniques and when to apply them</li><li>Best practices and principles for building growth models, performing business diagnostics</li></ul>

Fundamentals of product analytics

<ul><li>Learn how to apply AI tools to product metrics, data analysis, and data storytelling tasks through examples and exercises.</li><li>Get access to custom prompts, workflows, and tactics you can apply immediately to your own datasets and day-to-day work.</li></ul>

AI tools for product analytics

<ul><li>Take-home homework exercises that help you practice using the AI tools on your own data, that I review and provide feedback on.</li></ul>

Hands-on assignments

<ul><li>Live discussions and case studies to learn from real examples</li><li>Collaborate and learn AI tools in a group setting with other students</li></ul>

Interactive workshops

<ul><li>I'll be available during office hours, via email, and during live sessions and throughout the course to answer questions and provide personalized guidance and career advice.</li></ul>

1:1 support from George

Master the latest AI tools for product analytics to get ahead. Become the self-sufficient, data-driven product leader your company needs.

George Xing

Product lead at Stripe. Former head of analytics at Lyft and startup founder.

Cohort 2

Cohort 3

If you’ve shipped an API product—or more—and you want to level up your expertise, API Product Mastery for Experienced PMs is for you. You’ll learn how to design and deliver API products that not only meet technical standards but also drive measurable business impact. We’ll go beyond the basics, digging into real strategies for building APIs that empower both developers and business stakeholders, all while solidifying your role as an API thought leader within your organization. By the end of this course, you’ll be able to speak confidently about APIs in product parlance, build robust solutions your engineering teams will appreciate, and design Developer Experiences that rival the best in the industry. My core goal is to help you sharpen your capabilities so you can set bold KPIs, exceed them, and demonstrate the ROI of your API initiatives. You’ll walk away with a practical toolkit for everything from rapid prototyping to scaling API products for high-volume use. Whether you’re perfecting an existing product, tackling a new launch, or even guiding a team of product managers, you’ll have the structure and know-how to succeed: Understand APIs at a deeper level—enough to earn the respect of peers, leadership, and technical teams• Drive business impact by setting stronger goals and hitting KPIs for your API products• Build a clear path to product growth through monetization, internal advocacy, and advanced Go To Market strategies• Deliver a stellar Developer Experience with better documentation, security, and onboarding flows• Become the API champion who can confidently guide decision-making and position APIs as a strategic advantage within your organization• Explore the future of APIs as they evolve with Model Context Protocol (MCP) and Agent API consumption, including design and building of APIs with the help of LLMs. After 15+ years managing API products, I’ve seen firsthand how to thrive as an API PM—and I want to share what I’ve learned! When you complete this course, you’ll have the skills and perspective to deliver real value and confidently guide and scale the next generation of API portfolios.

Accelerate Your Career and Become the Go-To API Expert in Your Organization

Five live sessions covering each module, with projects and group discussion.

Tuesdays, Thursdays & Fridays

Due the Tuesday after course completion.

Build and Demo an API Prototype Project

The session is on the Tuesday after course completion.

AMA & Demo - 1 session

Product Managers with some API PM Experience who want to take on more responsibility and become experts at shipping public and internal API

Product Managers who have shipped API Products but want to gain a deeper understanding and scale to an API Portfolio

Product Leaders who want to hire and manage a team of API Product Managers.

<ul><li>Adopt API-first and secure executive buy-in to build an API portfolio.</li><li>Make API governance, security and compliance a part of your roadmap.</li><li>Explore how MCP &amp; Agents will drive the next wave of API consumption.</li><li>Identify how API businesses succeed by examining real-world business m</li></ul>

Define a Winning API Strategy for the Future

<ul><li>Evaluate modern API architectures (REST, GraphQL, Async, gRPC) to choose the right approach for your use case.</li><li>Craft consistent API designs using standards, OpenAPI, and style guides.</li><li>Plan for API evolution by creating a deprecation policy and implementing effective versioning.</li></ul>

Understand How Great APIs Are Made: The API Lifecycle

<ul><li>Develop a frictionless Developer Experience, from clear documentation to Dev Portals with PLG.</li><li>Optimize usage and revenue by analyzing API metrics, refining pricing models and tracking churn.</li><li>Implement clear pricing strategies—like tiered or usage-based pricing—supported by data.</li></ul>

Drive API Adoption with an Effective Go-to-Market Approach

<ul><li>Use AI tools to iterate on your API design for usability, consistency , and standards.</li><li>Gather feedback from users through documentation and mock services.</li><li>Implement your API prototype using AI codegen.</li><li>Deploy your API behind an API Gateway and view Analytics</li></ul>

Design and Build a Working API Using Best Practices

<ul><li>Demo the API Prototype you built to the class.</li><li>Group discussions where you can learn from others.</li><li>AMA session with the instructor - bring the topics you’d like to cover!</li></ul>

Network and Collaborate with your peers

Become an expert API Product Manager and learn how to scale and manage an API portfolio.

API Product Mastery for Experienced PMs, Cohort 2

Emmanuel Paraskakis

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

API Product Mastery for Experienced PMs, Cohort 1

Cohort 1

As AI agents become integral to mainstream software, organizations need professionals who can do more than build demos: they need engineers who can architect, deploy, and maintain robust agentic solutions that deliver measurable business value. Meeting this demand requires a practical mindset - one that balances innovation with real-world constraints like security, compliance, and operational cost. Familiarity with frameworks like MCP (Model Context Protocol) is increasingly essential for building scalable agents in modern enterprise environments. ✨ Biggest differentiators of this course 🏭 Enterprise-Ready, Not Just Toy ProjectsMost courses stop at building toy demos or teaching frameworks in isolation. Here, you’ll learn to architect, evaluate, and deploy AI agents that solve real business challenges-factoring in security, scalability and operational costs. You’ll master not just the “how”, but the “when” and “why” behind agentic AI, with a special focus on leveraging MCP (Model Context Protocol) for robust, scalable solutions. 🦾 Hands-On Product DevelopmentFrom day one, you’ll build a real-world agentic product, guided by step-by-step tutorials. You’ll gain practical experience that goes far beyond theory. 🤝 Personalized Support: Ask Me Anything (AMA)We know every learner’s journey is unique. That’s why we offer weekly Ask Me Anything Sessions. While these are optional, we encourage learners to join these sessions to either get help or assist colleagues. 🤜 Individual Coaching SessionsStill need help? Feel free to schedule 30 minute individual sessions with me every week. You will get direct, personalised help, making sure you never lose momentum. 👩‍🏫 Industry Guest Lectures &amp; Expert WorkshopsLearn directly from the people shaping the future of AI. This cohort features guest lectures and workshops with experts from Microsoft and Weights &amp; Biases, bringing you what's newest in AI Agent features for developing, evaluating and deploying AI Agents. 💸 USD 300 in Azure Credits for Early JoinersTo accelerate your cloud deployment journey, first participants will receive $300 in Azure credits, enabling you to experiment, test, and deploy your agentic applications in a real-world environment at no extra cost. 🚀 Capstone Project: From Idea to ProductionYou’ll connect the latest research and best practices with hands-on implementation. For your capstone, you’ll design, evaluate, and deploy a production-grade AI agent. You will showcase your ability to bridge the gap between theory and enterprise impact. If you read up until this point and are still wondering: "Is this course for me?" Well, if you have ever struggled with any of the following challenges: 🔹 Prototype Graveyard: You have built simple AI demos that never made it to production🔹 Evaluation Paralysis: You struggle to measure if your agents are actually performing well🔹 Security Vulnerabilities: You need to mitigate the risk that your agents are exposed to prompt injection attacks🔹 Availability &amp; Resiliency: You want to prevent agentic AI products from breaking after being deployed Then yes, this course is for you. 🚀 By the end of 4 weeks, you'll have: ✅ A production-deployed AI agent with a public URL you can share with employers✅ Working knowledge of MCP architecture and hands-on experience that sets you apart from most AI professionals✅ Real-world AI security and evaluation skills that are essential for enterprises to leverage AI at scale✅ Portfolio-ready project demonstrating end-to-end agent development capability 👩🏼‍💻 Course Requirements If you don't have significant experience with Gen AI, AI Agents or MCP, that's fine. The only hard requirement for this course is basic Python knowledge. Ready to go beyond the PoC? Join us and build AI agents that matter-powered by real-world tools, enterprise best practices, and the support you need to succeed.

Design and build AI Agents for the enterprise

Recorded videos, live lessons, office hours and hands-on projects

Fridays

Software Engineers who want to build and ship Agentic AI Apps into production

Product Managers, Product Owners and Managers who want to lead AI initiatives

Consultants, Solution Architects and Field Engineers who want to learn about AI Agents and MCP to better serve their customers

Theory is important: you will learn foundational concepts around AI Agents and MCP, but you will also start coding and shipping Agentic AI products from the beginning.

Start Building AI Agents with MCP from Day One

You have probably come across many courses out there that basically teach you how to build a PoC. Not the case here! You will start with simple, local prototypes, evolving weekly towards a production grade Agentic AI App

Avoid PoC Hell

Evaluating AI Agents can be overwhelming. We will show you what to evaluate, how to do it and what to do with these metrics.

Master and Implement AI Agent Evaluation

Should I go for RAG? Should I implement AI Agents instead? You will deep dive into the main architecture components of MCP. what problem it solves, when it should be used, and when it shouldn't.

Understand where AI Agents and MCP shine, and use this knowledge to design and build unique AI products

Learn about the best practices around tracking LLM calls, tools and agent interactions. Master prompt injection attacks and how to mitigate them. Incorporate all these concepts in your app.

AgentOps: Apply AI security and observability best practices

Set up cloud resources, add authentication, deploy tracing and guardrails, release your app’s code and share your live project with the world

Deploy your AI Agent Into Production and showcase it your skills

You will have access to weekly office hours to ask questions about issues - or help fellow learners. Still have questions? Feel free to book a weekly 30 min 1x1 with me.

Personalized Guidance

Go from local prototypes to production-ready Agentic AI applications following security, evaluation, and deployment best practices

Lightning Lessons

Why MCP Matters for Product Managers