ML Foundations for Product & Business Leaders
5.0 (12)
3 Weeks
·Cohort-based Course
ML foundation models, case studies, and frameworks for succeeding in AI-led product teams. Plus insights into new roles & AMA with ML Execs.
ML Foundations for Product & Business Leaders
5.0 (12)
3 Weeks
·Cohort-based Course
ML foundation models, case studies, and frameworks for succeeding in AI-led product teams. Plus insights into new roles & AMA with ML Execs.
Previously at
Course overview
Elevate Your Product Game in this rapidly evolving AI Age
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 Sessions
Navigating product journey in this fast evolving AI landscape:
Elevate your PM skills to develop products in an AI-driven world.
In-depth Q&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 Features
Interactive 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.
Who is this course for
01
For mid-career professionals who want to level up their AI Skills and frameworks to build better products.
02
For product leaders and executives looking at ways to infuse Generative AI into their existing products
03
This course is not an introduction to Generative AI and not a prompt engineering guide for PMs.
What you’ll get out of this course
Interactive Case Studies & Exercises to level up your AI PM Game
Insights from leading AI products built by Silicon Valley companies with real-world cases that you solve with the instructor.
Hands-on Frameworks and Templates
Practical tools for elevating your product skills and managing your career growth in the rapidly evolving AI Age.
Understand and communicate the ROI of Machine Learning
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).
Exclusive Industry Insights
Lessons from experiences at NVIDIA, Microsoft, and Silicon Valley Startups.
Networking Opportunity
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.
This course includes
6 interactive live sessions
Lifetime access to course materials
23 in-depth lessons
Direct access to instructor
16 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
ML Foundations for Product & Business Leaders
Course syllabus
Week 1
Aug
20
Week 1: Live ML Case Studies + Q&A
Aug
22
Workshop: Introducing Design Sprints for ML Teams
Introduction to AI / ML
Transformer technology in Machine Learning
Supervised vs Unsupervised Learning
Reinforcement Learning
ML Case Studies
Tokenization of World's Data
Impact of ML on Product & Business Leadership
Interactive Exercises on types of ML
Week 1 Conclusion: The essence of ML Models
Week 2
Aug
26
AMA with Minal Mehta
Aug
27
Week 2: Live ML Case Studies + Q&A
Aug
29
Final Iced Coffee Hour with Amit Badlani
Product Leadership with AI
Architecting teams
Case Study on Product Teams
Managing the pitfalls of AI
Foundation Models, SFT & RAG
Interactive Exercises on RAG & SFT
ML Product Sense Questions
Conclusion
Considerations in Cost and Benefit Analysis
Week 3
Sep
4
AMA with Anand Sampat
5.0 (12 ratings)
What students are saying
Learn from other ML Executives from Silicon Valley
Minal Mehta
VC-backed founder and product leader at Google, YouTube, Amazon and LinkedIn.
Anand Sampat
Sr. Director of ML at Sambanova, previously Director of ML at Path AI (unicorn). Also founded Datmo AI at Stanford University (Start X)
Why AI and why this course?
Alex advises executive leaders and he talks about the importance of AI and why this course matters.
What people are saying
Patrick Kelly
Sarvi Naderzad
Anil Maheshwari
Sazzad Shah
Ajinkya Bhosale
Junyi Li, MBA
Mergen Zhumabay
How can mid-career engineering professionals benefit from it?
Deepika talks about Amit's guidance in ML in her journey as a mid-career engineering professional
Meet your instructor
Amit Badlani
Artificial Intelligence Product Leader and Startup Advisor
Amit is currently a Director of Product in AI / ML and a Startup Advisor at Stanford accelerator. Prior to his current role, Amit was a product leader at NVIDIA, spearheading the design of generative AI platforms that empower enterprises worldwide.
Through his career in product management, Amit has interviewed 1000s of candidates for product roles in the ML space and has mentored 100+ aspiring product managers and leaders.
Amit holds a dual Master's in Electrical Engineering and Management Science from Stanford University and his ML research has resulted in over 50 research publications and patents establishing him as a thought leader in the field. His work has also been featured at the Consumer Electronics Show (CES), Mobile World Congress (MWC), GPU Technology Conference (GTC) and Red Dot Product Design Awards.
Amit was also awarded the prestigious EB-1(a) "Einstein" visa by the US Government for his extraordinary ability in AI product leadership.
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ML Foundations for Product & Business Leaders
Course schedule
6-8 hours per weekend
Intro to ML and its types
Week 1: Tuesday 1:00 - 2:00 PM EST
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
Workshop: Design Sprints
Week 2: Thursday 1:00 - 2:00 PM EST
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
Impact of ML on Product Leadership
Week 2: Tuesday 1:00 - 2:00 PM EST
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.
RAG vs SFT, cost of deploying models and more
Week 2: Thursday 1:00 - 2:00 PM EST
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.
Special Guest lecture (Week 2)
Week 2: Monday 1:30 to 3:00 PM EST
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.
Transform your product leadership in the AI Era
Enjoy this lightning session that includes 3 tips on how to transform your product career in the new AI era.
Session also includes a 15-min Q&A at the end.
What if I am an early career professional working in a product team?
Alex Gould talks about what early career professionals can get out of this course.
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
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