This course is part of MLOps | Machine Learning Operations Specialization
MLOps Fundamentals Course will be AVAILABLE SOON.
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What you’ll learn
✓ Understand the full machine learning lifecycle and where MLOps fits into each stage.
✓ Identify key roles in MLOps teams and how they work together in real projects.
✓ Recognize the most common tools used in MLOps (like MLflow, Airflow, Docker, Kubernetes) and how they connect.
✓ Know which MLOps skills are needed for different job roles and how to start building them.
There are 7 modules in this course
- Introduction
- MLOps Lifecycle
- Roles and Responsibilities
- Core Pillars of MLOps
- Tooling Landscape
- Case Studies & Patterns
- Career in MLOps
About this course
In this course, you will learn what MLOps is and why it matters when we use Machine Learning in real projects. Today, many companies want to use AI and ML to solve business problems, but they often find it hard to move from a simple experiment to a working system that runs every day. MLOps gives structure and tools to make Machine Learning work better in real life – more stable, faster, and easier to manage.
We will start with the basics and explore each step in the ML lifecycle – from working with data to training models, deploying them, and keeping everything running. You will also see what kind of work MLOps Engineers do, what skills they need, and what tools are used in this field, like Docker, Kubernetes, MLflow, Airflow, and many more.
By the end of the course, you will understand how all parts of an MLOps system fit together. You will know how teams work, how tools connect, and what challenges you can expect. This course is the first step in a bigger learning path. After it, you can choose to go deeper into topics like infrastructure, CI/CD, monitoring, or even GenAI and LLMs.
The goal of MLOps Fundamentals course is very simple – to give you a clear picture of what MLOps is, how it works, and how you can grow in this space. Whether you want to become an MLOps Engineer or just understand the practice better, this course will help you begin 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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