Lilly Tech Systems
AI Product Management
Master the unique challenges of managing AI-powered products. Learn how to navigate data requirements, model iteration cycles, probabilistic outputs, and user feedback loops — skills that traditional product management does not cover.
What You'll Learn
By the end of this course, you'll know how to lead AI product development from ideation to launch and beyond.
AI Product Discovery
Identify high-value AI opportunities, validate feasibility, and define AI-specific product requirements that account for data and model constraints.
Data-Driven Requirements
Learn to write requirements for AI features including data needs, accuracy thresholds, latency targets, and edge case handling.
Iterative Development
Navigate the unique development cycle of AI products: data collection, model training, evaluation, and continuous improvement.
Launch & Feedback
Plan AI product launches, set up monitoring, create feedback loops, and manage user expectations for probabilistic systems.
Course Lessons
Follow the lessons in order or jump to the topic you need most.
1. Introduction
What makes AI product management different from traditional PM. The unique challenges, mental models, and skills you need to succeed.
2. AI Product Discovery
How to identify AI opportunities, validate technical feasibility, assess data availability, and prioritize AI features effectively.
3. AI Requirements
Writing effective requirements for AI products: data specifications, model performance targets, edge cases, and acceptance criteria.
4. AI Development
Managing the AI development cycle: data pipelines, model training, evaluation, A/B testing, and working with ML engineering teams.
5. AI Product Launch
Launch strategies for AI products: rollout plans, monitoring dashboards, user communication, and handling model failures gracefully.
6. Best Practices
Advanced patterns for AI product management: feedback loops, model retraining, ethical considerations, and scaling AI products.
Prerequisites
What you need before starting this course.
- Experience in product management or product development
- Basic understanding of what AI and machine learning are
- Familiarity with agile development processes
- No coding or data science background required