This course is part of MLOps | Machine Learning Operations Specialization
We are actively working on Model Lifecycle for MLOps Course and it will be AVAILABLE SOON.
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What you’ll learn
✓ Understand how machine learning models move through different stages – from training to real use in production.
✓ Learn how to test, track, and manage versions of your ML models using tools like MLflow and model registries.
✓ Monitor model quality over time and handle common problems like data drift and model decay in production.
✓ Set up retraining and updating processes to keep your models fresh, accurate, and ready for real-world changes.
There are 9 modules in this course
- Introduction
- Model Development
- Model Evaluation and Validation
- Model Versioning & Registry
- Model Deployment Strategies
- Model Monitoring
- Model Retraining & Updating
- Governance, Collaboration & Best Practices
- Capstone Project
About this course
In this course, you will learn how Machine Learning models are managed after they are built – from training to real-world use. Many teams can build a model, but the real challenge begins when that model must work every day in production. This is where the model lifecycle becomes important.
We will look at each step in the model’s journey. You will learn how to test models before they go live, how to move them into production safely, and how to check if they are still working well over time. You will also understand how to update or replace models when things change, like new data or new business goals.
This course is made for MLOps Engineers. It focuses on the operational side, not how to build models, but how to manage them once they are ready. You will see how to track models, keep records, and respond to issues like performance drop or data drift.
By the end of the course, you will know how to run machine learning models in a smart, stable, and repeatable way. You will understand the full model lifecycle and the key tasks that make sure models stay useful and safe in real-world systems.
Whether you work in a team or support ML as part of your job, this course will give you the core knowledge to handle models in production with confidence.
Start learning high demand tech skills today
Hi, I’m Alex and I’ve spent over 20 years helping well known startups and enterprises introduce innovations. I also developed and taught Cloud&DevOps part for a Master’s Degree at the University.
In this course, I’ll show you what MLOps looks like in practice – step by step, with real tools and clear guidance.
You don’t need to be an expert. If you want to understand how to start or enforce your career as MLOps Engineer, not just in theory, but in real life, this course is for you. Let’s get started.
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