Machine Learning Engineer — Starter
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If you're new to machine learning or want to move into a new role in machine learning, this is the ideal starting point for you!

You’ll start by learning the basic principles of machine learning: so, artificial intelligence, the release process for a machine learning model, and various out-of-the-box services that you can use as well.

We’ll then move on to look at a comprehensive range of content designed to give you a solid foundation in everything to do with data. You will learn about datasets and their various formats and interfaces, the SQL language and how to run SQL queries, the differences between databases and spreadsheets, how to use Python for data exploration, and finally, different data visualization techniques.

We'll finish off with an intense deep dive into the world of machine learning, in which you'll learn how to implement different machine learning models, validate their quality, and how to implement them practically.

Average completion time (studying 3 hours a week)
61 working days
Content Duration
36h 19m
Machine Learning Engineer — Starter
Content:
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2
Exams
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3
Learning Paths
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Pre-Test: Machine Learning Engineer - Starter
Pre-Test: Machine Learning Engineer - Starter
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The Beginners Guide to Machine Learning and Artificial Intelligence
This learning path is a gentle introduction and for those who want to gain entry-level experience in machine learning and artificial intelligence.
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The Basics of Data Management, Data Manipulation and Data Modelling
Learning the basics of how to work with data with data sources, formats, databases, and SQL.
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Practical Machine Learning
Practical Machine Learning
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Post-Test: Machine Learning Engineer - Starter
Post-Test: Machine Learning Engineer - Starter