CourseAdvanced
Self-paced course
AI for Technical Teams
Adopt retrieval, evaluation and deployment practices across an engineering team.
4.6 (52 reviews)EnglishSelf-paced, 14 hoursSara Lindqvist
What you'll learn
- Apply the core ideas of AI for Technical Teams to a hands-on project
- Frame a problem so a model can help
- Evaluate results with a repeatable test set
- Write clean, tested Python for real projects
- Read and review code from a team codebase
- Finish with graded work you can show to an employer
Curriculum
VideoLabQuiz or assignmentProject
- 1.1 Foundations: overview12 min
- 1.2 Guided exercise35 min
- 1.3 Check your understanding8 questions
Prerequisites
Comfortable with Python or C++ basics
Basic Linux command line
A laptop with a modern browser
Instructor
Sara Lindqvist
Instructor and teaching assistant · AI engineering, ROS 2 foundations
Sara is a machine learning engineer who teaches the foundations courses and supports the masterclass batches. She focuses on getting learners to a working, tested ROS 2 node quickly, then on evaluating what they built.
4.7(550 reviews)View full profile
Certificate
Certificate of completion
Issued when you pass the graded work. Each certificate has a public verification link and can be added to LinkedIn.
Pass mark: 70 percent
Reviews
4.6out of 5 (52 verified reviews)
Every week ended with a robot doing something new. The instructor read my launch files and told me exactly why my costmap was drifting.
The live sessions were small enough to ask real questions. The capstone was demanding but fair, and the rubric made it clear what was expected.
FAQ
You keep access to the course and your notes for 12 months from enrollment, and certificates never expire.