Machine Learning

Coursera

Microsoft

Preparing for AI-900: Microsoft Azure AI Fundamentals exam (Coursera)

Data Science

Elevate your career in AI by mastering the basics of Machine Learning on Microsoft Azure. This comprehensive course is designed to help you pass the AI-900 Microsoft Azure AI Fundamentals certification exam. Learn about key concepts such as computer vision, Natural Language Processing (NLP), and conversational AI workloads essential for deploying successful AI solutions on Azure.

Sep 14th 2026

4 Weeks

NLP Machine Learning Microsoft Azure

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EdX

IBM

AI for Everyone: Master the Basics (edX)

Robotics & Computer Vision

Dive into the world of Artificial Intelligence (AI) with our beginner-friendly course 'AI for Everyone: Master the Basics'. Gain a comprehensive understanding of AI's key principles, including machine learning, deep learning, and neural networks. Whether you're curious about AI's impact on society or looking to apply these concepts in your professional life, this course is designed to equip you with the foundational knowledge needed to navigate the exciting field of artificial intelligence.

Self Paced

Self-Paced

Artificial Intelligence Machine Learning Neural Networks

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EdX

IBM

Apache Spark for Data Engineering and Machine Learning (edX)

Computer Science

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

ML Machine Learning Apache Spark

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EdX

École Polytechnique Fédérale de Lausanne,EPFLx

IoT Systems and Industrial Applications with Design Thinking (edX)

Engineering Eng: Electronics

Dive into the world of Internet of Things (IoT) with this unique online course. Learn about IoT systems, their industrial applications, and how to apply design thinking to create innovative IoT products. Gain a thorough understanding of the fundamental business aspects necessary to succeed in the IoT space.

Self Paced

Self-Paced

Machine Learning Design Thinking IoT

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FutureLearn

University of York

Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems (FutureLearn)

Robotics & Computer Vision

Dive into the fascinating realm of Intelligent Systems with this FutureLearn course. Uncover how deep learning is revolutionizing fields from healthcare to transportation, and understand the principles that drive these autonomous systems. This course provides a comprehensive introduction to the concepts, applications, and ethical implications of AI technologies.

Self Paced

3 Weeks

Machine Learning Computer Vision Autonomous Systems

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EdX

RWTH Aachen,RWTHx

Mathematical Optimization for Engineers (edX)

Engineering

Discover the power of mathematical optimization with our specialized course for engineers. This program covers the fundamental concepts and practical applications of optimization techniques, equipping you with the tools needed to tackle real-world engineering challenges effectively. Learn through engaging content and apply your knowledge via hands-on exercises implemented in Python.

Self Paced

Self-Paced

Math Machine Learning Engineering

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EdX

École Polytechnique Fédérale de Lausanne,EPFLx

Selected Topics on Discrete Choice (edX)

Engineering

Delve into the intricacies of advanced discrete choice modeling with our Selected Topics on Discrete Choice course, offered by edX. This follow-up to 'Introduction to Discrete Choice Models' provides an in-depth exploration of key topics essential for predicting human behavior at a detailed level. Whether you're in economics, transportation, marketing, or any field where individual choices matter, this course will equip you with the advanced skills needed to model and analyze complex decision-making processes.

Self Paced

Self-Paced

Machine Learning Sampling Discrete Choice

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Coursera

Duke University

Managing Machine Learning Projects (Coursera)

Statistics & Data Analysis Data Science

Dive into the practical aspects of managing machine learning projects with this specialized course by Duke University's Pratt School of Engineering. This second part of the AI Product Management Specialization covers essential steps from identifying opportunities to deploying and maintaining ML systems. Gain insights into the data science process, model building, and system design.

Sep 14th 2026

5-12 Weeks

ML Machine Learning Project Management

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Coursera

Duke University

Machine Learning Foundations for Product Managers (Coursera)

Data Science

Dive into the basics of machine learning technology in this comprehensive course tailored for product managers. Understand the principles behind ML, its practical applications, and learn how to work synergistically with data scientists and engineers.

Sep 14th 2026

5-12 Weeks

ML Machine Learning Clustering

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