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Certification

Certified MLOps Engineer: Build Production-Ready ML Projects

Show the world you have AI skills—earn your Certified MLOps Engineer credential and demonstrate expertise in deploying, scaling, and managing production-ready machine learning projects from end to end.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate · Expert · Technical
IT and development
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The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Intro1:28
  2. 02MLOps fundamentals31:26
  3. 03ZenML fundamentals12:37
  4. 04Customer satisfaction project3:30
  5. 05Installing libraries6:00
  6. 06Blueprint of steps13:05
  7. 07ZenML dashboard5:40
  8. 08Implementing steps1:15
  9. 09Data cleaning18:40
  10. 10Model development7:28
  11. 11Evaluation7:27
  12. 12Running the pipeline5:52
  13. 13Experiment tracker16:34
  14. 14Deployment pipeline47:06
  15. 15Streamlit app2:54
About the course

The Certified MLOps Engineer: Build Production-Ready ML Projects certification is designed for professionals seeking to master the end-to-end process of deploying and managing machine learning models at scale. Earning this certification equips you with valuable skills such as increased productivity, improved decision-making, and adaptability to evolving industry needs. Enroll today to gain a competitive edge and future-proof your career in machine learning operations.

This certification covers the following topics:

  • Understanding MLOps: Definition and Importance
  • The Evolution of DevOps to MLOps
  • The MLOps Lifecycle: A Continuous Loop
  • Key Components of an MLOps Pipeline
  • Experiment Tracking: Ensuring Reproducibility and Efficiency
  • Model Deployment: From Training to Production
  • Continuous Deployment and Inference Pipelines
  • Tools and Libraries in MLOps Workflows
  • Practical Implementation with ZenML
  • Addressing Business Problems with MLOps

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.

Machine Learning EngineersAI EngineersData Scientists