ML

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Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera) Coursera
CertNexus

Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera)

Dive into the world of advanced machine learning techniques with our course on Decision Trees, SVMs, and Artificial Neural Networks. Learn how to apply these powerful tools to solve regression and classification problems efficiently. Whether you're a beginner or looking to enhance your expertise, this course will equip you with the skills needed to make informed decisions in your machine learning projects.

Aug 10th 2026
5-12 Weeks
Apache Spark for Data Engineering and Machine Learning (edX) EdX
IBM

Apache Spark for Data Engineering and Machine Learning (edX)

Dive into the world of big data processing and machine learning with our introductory course on Apache Spark. Whether you're new to data engineering or looking to enhance your ML skills, this course provides a hands-on approach to understanding and applying Spark's powerful capabilities in Structured Streaming, Extract-Transform-Load (ETL) processes for Machine Learning pipelines, and Spark ML techniques.

Self Paced
Self-Paced
Introduction to Machine Learning: Supervised Learning (Coursera) Coursera
University of Colorado Boulder

Introduction to Machine Learning: Supervised Learning (Coursera)

Embark on a journey into the world of supervised machine learning with this foundational online course. Designed for beginners and advanced learners alike, you'll delve into essential algorithms like linear and logistic regression, K-nearest neighbors (KNN), decision trees, random forest, boosting techniques, and kernel methods such as support vector machines (SVM). This course is perfect for those looking to harness the predictive power of data.

Aug 10th 2026
5-12 Weeks
Machine Learning at the Edge on Arm: A Practical Introduction (edX) EdX
Arm Education,ArmEducationX

Machine Learning at the Edge on Arm: A Practical Introduction (edX)

Embark on a journey into the future of machine learning with 'Machine Learning at the Edge on Arm: A Practical Introduction'. This course is designed for tech enthusiasts and professionals looking to harness the power of edge computing and Arm-based microcontrollers. Learn how to create cutting-edge ML applications that process data locally, enhancing efficiency and privacy.

Self Paced
Self-Paced
AI skills for Engineers: Supervised Machine Learning (edX) EdX
Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Discover the essential principles of machine learning tailored specifically for engineering professionals. This course will guide you through the application of various classification and regression techniques using Python's powerful scikit-learn library. You'll learn how to leverage these models for making predictions in a variety of engineering contexts, from predicting object properties to optimizing complex systems.

Self Paced
Self-Paced