Lilly Tech Systems
AI Team Building
Great AI products are built by great AI teams. This course covers everything you need to build, grow, and lead high-performing AI teams — from defining the right roles and hiring top talent to creating an AI-first culture and scaling your team structure as your AI ambitions grow.
What You'll Learn
By the end of this course, you'll have the frameworks to build and lead effective AI teams at any scale.
AI Roles
Understand the key roles in an AI team, their responsibilities, required skills, and how they work together to deliver AI products.
Hiring Strategy
Source, evaluate, and recruit AI talent effectively. Learn what to look for, how to assess candidates, and how to compete for top talent.
AI Culture
Build a team culture that embraces experimentation, values data, and continuously learns. Culture determines whether your AI team thrives or stalls.
Scaling
Grow your AI team from founding members to a full organization. Navigate organizational models, knowledge sharing, and growing pains.
Course Lessons
Follow the lessons in order to build a comprehensive AI team strategy, or jump to the topic you need.
1. Introduction
Understand why AI teams are different from traditional engineering teams and what makes them succeed or fail.
2. AI Roles
Comprehensive guide to AI team roles: data scientists, ML engineers, AI product managers, data engineers, and more.
3. Hiring
Source candidates, design effective interviews, evaluate AI-specific skills, and build compelling offers for AI talent.
4. AI Culture
Create a culture of experimentation, learning, and collaboration. Address common cultural challenges in AI teams.
5. Scaling
Grow from a small AI team to an AI organization. Cover org models, platform teams, knowledge management, and retention.
6. Best Practices
Leadership principles, team performance metrics, continuous development, and lessons from successful AI organizations.
Prerequisites
What you need before starting this course.
- Management or leadership experience (or aspiration)
- Basic understanding of AI/ML concepts and terminology
- Interest in organizational development and talent management
- No technical or coding background required