5.0
(7 ratings)
2 Days
·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.
5.0
(7 ratings)
2 Days
·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.
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This course is popular
3 people enrolled last week.
Course overview
According to a 2023 MIT study, a significant transformation is underway in the global business environment, with Artificial Intelligence (AI) at its core. It's 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: 6 hours over a weekend + 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 another ML Executive and Founder from Stanford.
Day 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.
Modeling 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
AI 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)
Day 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.
"My AI PM Plan" Document: Participants will develop a personalized plan, outlining concrete steps to advance their AI product management career.
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.
Insights from leading AI products built by Silicon Valley companies with real-world cases that you solve with the instructor.
Practical tools for elevating your product skills and managing your career growth in the rapidly evolving AI Age.
Lessons from experiences at NVIDIA, Microsoft, and Silicon Valley Startups.
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.
Participants will develop a personalized plan, outlining concrete steps to advance their AI product management career based on the skill sets learned in the course.
4 interactive live sessions
Lifetime access to course materials
5 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 Managers
Week 1
May 11—May 12
Events
Sat, May 11, 4:00 PM - 7:00 PM UTC
Sat, May 11, 7:00 PM - 8:00 PM UTC
Sun, May 12, 4:00 PM - 7:00 PM UTC
Sun, May 12, 7:00 PM - 8:00 PM UTC
Modules
Bonus
Modules
5.0
(7 ratings)
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)
Patrick Kelly
Sarvi Naderzad
Anil Maheshwari
Sazzad Shah
Ajinkya Bhosale
Junyi Li, MBA
Mergen Zhumabay
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.
12:00 noon - 3:00pm EST
First day will cover introduction to generative ai, transformer architecture and foundation models needed to cover most use cases. This will also include 4 live. exercises to learn as we go.
3:00 PM To 4:00 PM EST
AMA with Amit on managing AI products at big tech and silicon valley startups.
12:00 noon - 3:00 PM EST
Second day will cover natural language understanding, use of conversational ai to improve products and guardrails necessary for developing applications. This will also include 2 case real case studies and a 45 min live session at the end for any questions.
3:00 PM To 4:00 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.
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.
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
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