MLOps Engineer

4.771 hours709 learnersBeta
Bring the DevOps principles of continuous integration, continuous delivery, and continuous monitoring to the machine learning lifecycle by integrating MLOps in your pipeline. Learn essential concepts for effectively deploying and managing machine learning models in production environment.
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What you'll learn

This course assumes the knowledge of classical machine learning algorithms and familiarity with deep learning. By completing this course, you will:

  • Understand how to serve your existing trained models for inference;
  • Get familiar with the basics of ML system design;
  • Learn about tools for monitoring and observing the performance, health, and behavior of machine learning models in production;
  • Use Airflow to design, schedule, and monitor end-to-end machine learning pipelines, from data ingestion to model training and deployment;
  • Be able to diagnose and tackle the issues such as data and target drifts;
  • Understand how to track machine learning experiments and manage model versions.

 

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Learn by doing

# 1
Apply knowledge into practice
You already know the theory. Now it's time to code like you do at work—in a professional IDE, with real project constraints, solving problems that actually matter. Welcome to software engineering as it should be.
# 2
Navigate complexity with surgical precision
Most developers waste months learning random concepts without seeing how they connect. Our interactive Knowledge Map fixes this. It shows exactly how every programming concept relates to others, helping you build a structured mental model of coding.
# 3
Copy the best. Then improve.
Here's what top engineers do that others don't: they study other people's code obsessively. When you get stuck on Hyperskill, you can explore solutions published by other developers. See their exact code. Understand their approach. Learn their tricks.
# 4
Code review that actually makes you better
We stripped code review down to what actually matters: does your solution work? Have you handled the edge cases? Is there a cleaner way to write this? Hyperskill acts like a competent reviewer who actually tests your code. Not genius-level analysis, not architecture debates — just solid feedback on making your code better.

Elevate your engineering mastery through real-world challenges

Master advanced engineering concepts through ambitious projects. Each project deepens your expertise and transforms you from an experienced engineer into an exceptional one.

Goods Category Prediction

Retail platforms are flooded with millions of products, making accurate product categorization crucial for both retailers listing their products and customers searching for products to purchase. This project equips you with the skills to build a system that does just that! You will use Natural Language Processing (NLP) techniques to understand product descriptions and discover how word embeddings capture the contextual meanings of words in these descriptions. By the end of the project, you will not only have a solid grasp of NLP but also have the satisfaction of showcasing your work in a user-friendly web app!

Graduate

News Text Summarization

In this project, you will embark on an exciting journey to develop a practical, real-world news summarization system using the BART (Bidirectional and Auto-Regressive Transformers) model. Unlike extractive summarization models that merely regurgitate the same words from the news articles, BART excels at abstractive summarization, creating new, better-phrased summaries. What's even better is that you will fine-tune BART to enhance its performance on news articles, making it perform even better than many state-of-the-art models. Throughout this project, you will learn how to preprocess real-world news data from APIs and use a fine-tuned model to generate concise and coherent summaries.

Graduate

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Topics covered by this course

Data science
76 topics
Programming languages
51 topics
System administration and DevOps
47 topics
Fundamentals
46 topics
Math
18 topics
Generative AI
9 topics

Learn from the industry experts

JetBrains Academy

JetBrains Academy

JetBrains Academy is a part of JetBrains, a global software company specializing in the creation of intelligent, productivity-enhancing tools for software developers and teams. With years of expertise in software development and education, JetBrains Academy empowers more than a million people worldwide to learn and teach computer science, and help organizations inspire their teams to reach their goals in tech. Professional development tools play a big role in computer science education. This is why JetBrains Academy courses offer integration with JetBrains IDEs. This integration assists learners in getting experience with real development processes to streamline their learning curve at future work.

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