Practice CI/CD for ML (MLOps) - 20.3.1 | 20. Deployment and Monitoring of Machine Learning Models | Data Science Advance
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

CI/CD for ML (MLOps)

20.3.1 - CI/CD for ML (MLOps)

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is CI in CI/CD?

💡 Hint: Think of how code quality is maintained.

Question 2 Easy

Name one tool used for CI/CD.

💡 Hint: Consider popular automation tools in software development.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does Continuous Integration aim to do?

Automatically deploy code
Automatically test and validate code
Track model performance

💡 Hint: Focus on the goals of CI.

Question 2

True or False: A model registry is used to track code changes.

True
False

💡 Hint: Consider what a model registry specifically manages.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are implementing CI/CD in a healthcare ML application. What challenges might arise, and how would you ensure compliance with regulations?

💡 Hint: Consider industry-specific regulations that impact deployment.

Challenge 2 Hard

Design a CI/CD pipeline for a retail company that wants to deploy models related to customer behavior prediction. What key stages would you include?

💡 Hint: Think about the flow from data to deployment in this context.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.