Machine Learning for Absolute Beginners - Level 1

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This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.

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31 on-demand videos & exercises
Level: All Levels
2hrs 9mins
Access on mobile, web and TV

What to know about this course

Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics.

The course starts by highlighting the learning objectives and explains the rise of AI in today’s world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement.

By the end of this course, you will have a fundamental knowledge of AI and ML. All the resource for this course are available at

Who's this course for?

If you are a developer, product or project manager, engineer, or a data science enthusiast, who is looking to learn the fundamentals of artificial intelligence (AI) and machine learning (ML), this course is for you. There is no prerequisite to start this course as it is specially designed for absolute beginners.

What you'll learn

  • Find out why machine learning (ML) is called a black box.
  • Get to grips with the features and labels of ML.
  • Uncover techniques for training ML models.
  • Find out the differences between supervised and unsupervised learning.
  • Understand regression, clustering, and dimension reduction.

Key Features

  • Learn the basics of artificial intelligence (AI), machine learning (ML), and deep learning.
  • Find out how ML helps in training a model. 
  • Discover how ML systems are classified.

Course Curriculum

About the Author

Idan Gabrieli

Idan Gabrieli has worked in various engineering positions in Israel’s high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies. Idan’s expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers. Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.

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