Fall Cohort

ML foundation models, case studies, and frameworks for succeeding in AI-led product teams. Plus insights into new roles & AMA with ML Execs.


Amit Badlani

Artificial Intelligence Product Leader and Startup Advisor


ML Foundations for Product & Business Leaders

NVIDIA

Microsoft

Stanford University

Novartis

A significant transformation is underway in the global business environment, with Artificial Intelligence (AI) at its core. A 2023 MIT Study projected that 80% of companies globally will incorporate Machine Learning (ML; a subset of AI) into their product offerings, marking a pivotal shift in how industries operate. For product professionals, acquiring a deep understanding of ML (technology that powers ChatGPT), is no longer optional; it's essential for establishing credibility, making informed decisions, and effectively collaborating with engineering teams. Cut through the noise and level up your ML game with this Weekend LIVE cohort-based course. Course Duration: 9 hours over 2 weeks + 2 hours Bonus AMA session with two ML Executives. Format:Interactive live sessions with a blend of lectures, case studies, breakout discussions, and a hands-on AMA session with Amit, and 2 other ML Executives. Week 1: Understanding the AI-Driven Product Landscape (3 hours) Introduction to AI in Product Management- Overview of AI's impact on product design, development, and management - Emerging trends and technologies shaping the AI product space from foundational ML models to multi-modal AI. ML Model Fundamentals- Introduction to Foundation ML Models and their use-cases - Multi-Modal AI with Foundation Models - Interactive case study from a startup infusing AI into their services to disrupt market space Product Management Frameworks- Introduction to new roles in AI product teams (e.g., AI Agent Designers, Prompt Engineers, AI Explainability Engineers, Conversational AI Designer, AI Policy and Regulation Advisor) - Frameworks for decision-making in AI product management (e.g., choosing between custom built vs. off-the-shelf open-source AI models) Developing AI-Infused Products- Understanding the AI product lifecycle and roadmap - Key stakeholders in AI product development and their roles - Understating the tradeoffs between fine-tuning a custom model vs deploying an existing open source model. Case Study Analysis- Real-world examples of AI product leadership from Silicon Valley Startups, and big tech companies like NVIDIA, Microsoft, and SAP Labs. - Practice Product Case Questions from Big Tech and AI Startups (interactive exercise) Week 2: Advancing Your Career in AI Product Management (3 hours) Crafting Your AI Product Career Path- Strategies for identifying and seizing opportunities in AI product management - How to evaluate and select companies at the forefront of AI innovation Skills and Competence Development- Key skills for AI product managers and leaders - Systematic approaches to skill and career development in the AI context Career Growth and Recognition- Strategies for gaining visibility and recognition in your AI product role - Planning for promotions and advancing to leadership positions Review, Reflection, and Roadmap- Reflecting on key takeaways - Developing a personalized action plan to navigate your AI product career Bonus SessionsNavigating product journey in this fast evolving AI landscape:Elevate your PM skills to develop products in an AI-driven world. In-depth Q&amp;A with Amit and Anand, ML Execs with decade of experience in building AI products:An opportunity to ask Amit and Anand, specific questions about careers in AI product management and receive personalized advice. Course FeaturesInteractive Case Studies: Insights from leading AI products and companies. Hands-on Frameworks and Templates: Practical tools for elevating your product skills and managing your growth. Exclusive Insights: Lessons from experiences at NVIDIA, Microsoft, and Silicon Valley Startups. Networking Opportunity: Connect with fellow aspiring AI PMs and leaders in your cohort.

Elevate Your Product Game in this rapidly evolving AI Age


For mid-career professionals who want to level up their AI Skills and frameworks to build better products.

For product leaders and executives looking at ways to infuse Generative AI into their existing products

This course is not an introduction to Generative AI and not a prompt engineering guide for PMs.

Who is this course for

What you’ll get out of this course

Insights from leading AI products built by Silicon Valley companies with real-world cases that you solve with the instructor.

Interactive Case Studies & Exercises to level up your AI PM Game


Practical tools for elevating your product skills and managing your career growth in the rapidly evolving AI Age.

Hands-on Frameworks and Templates


Understanding which ML techniques to deploy when based on use-cases. Quantifying and communicating the impact of each ML approach including LLMs (powering modern AI Agents).

Understand and communicate the ROI of Machine Learning


Lessons from experiences at NVIDIA, Microsoft, and Silicon Valley Startups.

Exclusive Industry Insights


Connect with fellow aspiring AI PMs and leaders in your cohort. Free Slack Community for networking: many people will find a job or an avenue to hire product managers and leaders in these sessions.

Networking Opportunity


Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

VC-backed founder and product leader at Google, YouTube, Amazon and LinkedIn.

Minal Mehta


Sr. Director of ML at Sambanova, previously Director of ML at Path AI (unicorn). Also founded Datmo AI at Stanford University (Start X)

Anand Sampat


Learn from other ML Executives from Silicon Valley


Why AI and why this course?


What people are saying

How can mid-career engineering professionals benefit from it?


Meet your instructor

First week will cover introduction to generative AI, transformer architecture and foundation models needed to cover most use cases. This session in particular will cover AMA with Amit on Machine Learning and its various types. This will also include 7 live case studies and exe

Intro to ML and its types


First week will cover introduction to generative AI, transformer architecture and foundation models needed to cover most use cases. This session in particular will cover a workshop on how to use design sprints to tackle a prompt. This will also include 7 live case studies and

Workshop: Design Sprints


Second week will cover the impact of ML on product teams, use of generative AI to improve products and incorporate guardrails necessary for developing applications. This session in particular will cover the impact of ML on product teams and the new roles being created.

Impact of ML on Product Leadership


Second week will cover the impact of ML on product teams, use of generative AI to improve products and incorporate guardrails necessary for developing applications. This session in particular will cover the cost of deploying ML models, especially generative AI and its tradeoffs.

RAG vs SFT, cost of deploying models and more


Will include a guest lecture from a senior ML executive, also a Stanford graduate and a dear friend working in the industry for 10+ years. 45-min lecture and 15-min AMA.

Special Guest lecture (Week 2)


Course schedule

What if I am an early career professional working in a product team?


This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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