- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- AI
- Cloud
- Data
Machine Learning Essentials
This is a hands-on introduction to the core concepts and techniques used in modern machine learning. This path is for developers, data professionals, and technical learners who want to understand ML fundamentals and start building practical solutions.
Content in this path
Introduction
Watch these courses to build a foundational understanding of machine learning concepts!
Model Development
Watch these courses to understand how to design and deploy machine learning models!
Practical Application
Watch these courses to gain hands-on experience implementing machine learning models!
Try this learning path for free
What You'll Learn
- How to understand machine learning concepts
- How to apply data-enabled decision making
- How to use statistics and probability for machine learning
- How to prepare data for machine learning
- How to design a machine learning model
- How to create machine learning models
- How to deploy machine learning solutions
- How to build your first machine learning solution
- How to apply machine learning using Python
- There are no prerequisites for this path.


