Lead AI Projects with Confidence – No Coding Needed!
In this course, the first in Duke University’s AI Product Management Specialization, you’ll gain a strong foundation in machine learning (ML). Learn how ML works, when to use it, and strategies for managing successful AI projects.
Key Skills You’ll Develop:
- Speak the language of ML: Understand different types and applications.
- Master the ML process: From model development to evaluation and tweaking.
- Recognize which ML algorithms are right for specific tasks.
- Dive into Deep Learning: Grasp its potential and challenges.
- Put it into practice: Build and optimize an ML model to solve a real-world problem.
This Course is Ideal for:
- Product managers seeking to lead AI teams effectively
- Anyone who wants to work collaboratively with data scientists
| Module 1 | What is Machine Learning |
| Module 2 | The Modeling Process |
| Module 3 | Evaluating & Interpreting Models |
| Module 4 | Linear Models |
| Module 5 | Tress, Ensemble Models and Clustering |
| Module 6 | Deep Learning & Course Project |