Course 10 of 12

Monitoring & Drift

Drift detection, Alerts, Retraining, and more.

Yiga AI

Advanced en

Advanced · Course · 3 weeks at 5 hrs/week

Duration: 3 weeks
Effort: 5 hrs/week
Lessons: 16
Hands-on exercises: 16
Projects: 1
Language: en

What you’ll learn

Skills you can put to work.

Machine Learning Foundations

Deep Learning with PyTorch

Computer Vision

NLP with Transformers

Syllabus

Every module, step by step.

4 modules · 21 lessons · 14 hours · 1 graded project

840 minutes of guided lesson time.

Module 1 · 5 lessons · 3 hoursDrift detectionModule 1 of 4 in Monitoring & Drift.

Overview and set-up
Overview and set-up — Drift detection in Monitoring & Drift.
Lesson
40 min
Core concepts
Core concepts — Drift detection in Monitoring & Drift.
Lesson · Locked
40 min
Worked example
Worked example — Drift detection in Monitoring & Drift.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Drift detection in Monitoring & Drift.
Lesson · Locked
40 min
Module quiz: Drift detection
Check what you learned in Drift detection before moving on.
Quiz · Locked
20 min

Module 2 · 5 lessons · 3 hours LockedAlertsModule 2 of 4 in Monitoring & Drift.

Overview and set-up
Overview and set-up — Alerts in Monitoring & Drift.
Lesson · Locked
40 min
Core concepts
Core concepts — Alerts in Monitoring & Drift.
Lesson · Locked
40 min
Worked example
Worked example — Alerts in Monitoring & Drift.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Alerts in Monitoring & Drift.
Lesson · Locked
40 min
Module quiz: Alerts
Check what you learned in Alerts before moving on.
Quiz · Locked
20 min

Module 3 · 5 lessons · 3 hours LockedRetrainingModule 3 of 4 in Monitoring & Drift.

Overview and set-up
Overview and set-up — Retraining in Monitoring & Drift.
Lesson · Locked
40 min
Core concepts
Core concepts — Retraining in Monitoring & Drift.
Lesson · Locked
40 min
Worked example
Worked example — Retraining in Monitoring & Drift.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Retraining in Monitoring & Drift.
Lesson · Locked
40 min
Module quiz: Retraining
Check what you learned in Retraining before moving on.
Quiz · Locked
20 min

Module 4 · 6 lessons · 5 hours LockedDashboardsModule 4 of 4 in Monitoring & Drift.

Overview and set-up
Overview and set-up — Dashboards in Monitoring & Drift.
Lesson · Locked
40 min
Core concepts
Core concepts — Dashboards in Monitoring & Drift.
Lesson · Locked
40 min
Worked example
Worked example — Dashboards in Monitoring & Drift.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Dashboards in Monitoring & Drift.
Lesson · Locked
40 min
Module quiz: Dashboards
Check what you learned in Dashboards before moving on.
Quiz · Locked
20 min
Graded project: Monitoring & Drift
Apply everything from Monitoring & Drift in one graded, portfolio-ready build.
Graded project · Locked
120 min

Applied learning project

Make the learning visible.

Use Graded project: Monitoring & Drift to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share

Your instructor

Mariam K.

Software & cloud

Helps new developers build reliable products through clear explanations and guided practice.

“I use what I learned in my work now, not in some distant future project.”
Diana Nsiiza
Data analyst, Entebbe

Continue with

Your next best step.

Following the order of Machine Learning Engineer.

See the full chain

Next lesson

Overview and set-up

Monitoring & Drift

40 min · Resume

Course 11 in the track

Deep Learning with PyTorch

Tensors, Autograd, CNNs, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

Course 12 in the track

Model Deployment & Serving

Docker, FastAPI, Batch vs real-time, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

Learner reviews

What learners say.

Write a review

Loading reviews…

Previous courseProject: Swahili Speech-to-Text Model Next courseDeep Learning with PyTorch

Keep going

Other courses in this track.

View full track

20 lessons · 16.7h · Intermediate

MLOps Fundamentals

Experiment tracking (MLflow), Pipelines, Versioning, and more.

20 lessons · 16.7h · Intermediate

NLP with Transformers

Attention, BERT, Fine-tuning, and more.

24 lessons · 19.3h · Advanced

Project: Fraud Detection System End-to-End

Data, Model, Deployment, and more.

16 lessons · 14h · Advanced

Reinforcement Learning Intro

Agents & environments, Q-learning, Policy gradients, and more.