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.