Data Science & AI
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MLOps
Learn Model Monitoring from Scratch
A practical, project-based path to Model Monitoring in MLOps
By Karthik Subramanian
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Intermediate
English
0 learners
What you'll learn
- Understand the core concepts of Model Monitoring and how they fit together
- Build hands-on projects using Model Monitoring that you can add to your portfolio
- Apply Model Monitoring to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Model Monitoring mistakes
- Gain the confidence to use Model Monitoring at work and in interviews
Skills you'll gain
Model Monitoring
Practical Projects
Debugging
Best Practices
Problem Solving
MLOps
About this course
Learn Model Monitoring the practical way. This Data Science & AI course focuses on doing: you'll work through real examples in MLOps, understand the why behind each technique, and finish with projects for your portfolio. Karthik Subramanian keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use Model Monitoring confidently at work and in interviews.
Curriculum
Getting Started
- Welcome and what you'll build video · 10:00 ▶ Free preview
- Model Monitoring in 10 minutes video · 11:00 ▶ Free preview
- Your first Model Monitoring walkthrough video · 12:00
- Hands-on exercise video · 13:00
Core Concepts
- Common patterns in practice video · 17:00
- Building the project — part 1 video · 06:00
- Debugging and troubleshooting video · 07:00
- Performance and optimisation video · 08:00
- Testing your work video · 09:00
Hands-On Practice
- Performance and optimisation video · 12:00
- Testing your work video · 13:00
- Welcome and what you'll build video · 14:00
Building Real Projects
- Welcome and what you'll build video · 07:00
- Model Monitoring in 10 minutes video · 08:00
- Your first Model Monitoring walkthrough video · 09:00
- Hands-on exercise video · 10:00
Going Deeper
- Common patterns in practice video · 14:00
- Building the project — part 1 video · 15:00
- Debugging and troubleshooting video · 16:00
- Performance and optimisation video · 17:00
- Testing your work video · 06:00