This course is part of MLOps | Machine Learning Operations Specialization
Python for MLOps Course will be AVAILABLE SOON.
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What you’ll learn
✔️ Use Python to build and run scripts for data pipelines, automation, and monitoring in MLOps projects.
✔️ Manage files, logs, and system tasks using Python tools that are common in real machine learning operations.
✔️ Connect Python code with cloud services, containers, and APIs to help manage ML systems in production.
✔️ Test, organize, and package your Python code so it is ready for use in teams and can be used in daily MLOps work.
There are 19 modules in this course
- Introduction
- Getting started & setting up your lab
- Basic Syntax & Variables
- Control Flow and Logic
- Functions
- Modules
- Classes & OOP
- Exceptions & Error Handling
- Testing
- File & OS Operations
- Concurrency & Parallelism
- Logging
- Serialization
- External Libraries
- Numeric Data with NumPy
- Data Analysis with Pandas
- Advanced Topics
- Building Machine Learning APIs (Flask, FastAPI)
- Capstone Project
About this course
In this course, you will learn how to use Python in real MLOps and machine learning projects. Python is the main language for data work, and it is a key skill for anyone who wants to work in MLOps. We will start from the beginning, so you do not need to be an expert. Step by step, you will see how to set up Python, write your first scripts, and manage files and data in ways that are common in real jobs.
You will also learn how to work with the most popular Python libraries, like Pandas and NumPy, to handle data simply and quickly. The course will show you how to build tools that automate daily work, check your results, and keep your code organized and safe. You will practice writing functions, handling errors, using basic testing, and building scripts that can help with tasks like moving data, running models, and connecting with cloud platforms.
By the end, you will be able to use Python to solve problems that MLOps engineers and ML developers see every day. You will know how to write code that is ready for production, and you will understand how Python connects to the tools used in modern machine learning work. This course will help you build a strong foundation, so you can join MLOps projects with confidence or move on to more advanced topics in your learning path. If you want to use Python for real machine learning and operations work, this is the place to start.
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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