Free Online Machine Learning Courses & MOOCs

Coursera

DeepLearning.AI

Build Basic Generative Adversarial Networks (GANs) (Coursera)

Data Science

Discover the power of Generative Adversarial Networks (GANs) in this introductory course. Whether you're new to machine learning or looking to deepen your expertise, this course will guide you through understanding GAN basics, their real-world applications, and implementing various architectures to generate compelling data samples. Start your journey into the fascinating world of GANs today!

Nov 9th 2026

4 Weeks

Machine Learning Data Science PyTorch

Coursera

DeepLearning.AI

Build Better Generative Adversarial Networks (GANs) (Coursera)

Data Science

Dive into the world of Generative Adversarial Networks (GANs) with our expert-led course designed to help you build better, more sophisticated GAN models. From understanding the challenges in evaluating GAN performance to implementing state-of-the-art techniques like StyleGAN, this course equips you with the skills needed to create high-fidelity and diverse generative models.

Nov 9th 2026

3 Weeks

Machine Learning Privacy Data Science

EdX

HarvardX,Harvard University

Fundamentals of TinyML (edX)

Statistics & Data Analysis Data Science

Dive into the basics of machine learning applied to tiny devices with our Fundamentals of TinyML course. Gain a solid foundation in this emerging technology that's revolutionizing embedded systems such as wearables and IoT gadgets. Learn from experts and start your journey into the fascinating world of Tiny Machine Learning.

Self Paced

Self-Paced

Machine Learning Embedded Systems Data Science

Coursera

DeepLearning.AI

Apply Generative Adversarial Networks (GANs) (Coursera)

Data Science

Dive into the world of Generative Adversarial Networks (GANs) with this in-depth online course. Whether you're interested in enhancing data privacy, augmenting datasets, or exploring creative applications like image translation, this course provides a solid foundation and practical experience with GANs. Learn to implement Pix2Pix and CycleGAN models, and understand the nuances between paired and unpaired image-to-image translations.

Nov 9th 2026

3 Weeks

Machine Learning Convolutional Neural Networks PyTorch

EdX

HarvardX,Harvard University

Applications of TinyML (edX)

Statistics & Data Analysis

Dive into the world of Tiny Machine Learning with our Applications of TinyML course. This hands-on program will guide you through real-world case studies, showcasing practical applications such as keyword spotting, visual wake words, and gesture recognition. Gain insights directly from industry experts on deploying models onto tiny or deeply embedded devices.

Self Paced

Self-Paced

Machine Learning Anomaly Detection Tiny Machine Learning (TinyML) Professional Certificate

Coursera

University of California, Davis

Computational Social Science Capstone Project (Coursera)

Statistics & Data Analysis Data Science

Congratulations on completing the foundational courses in our specialization! Now, it's time to synthesize all you've learned in a practical capstone project. This course will guide you through executing a multi-method workflow of computational social science, from data scraping to advanced analysis.

Nov 9th 2026

4 Weeks

Machine Learning Social Networks Network Analysis

Coursera

IBM

AI Capstone Project with Deep Learning (Coursera)

Data Science

Dive into the practical application of AI and deep learning with Coursera's 'AI Capstone Project with Deep Learning'. This comprehensive course equips learners with the skills to tackle real-world problems by developing, testing, and presenting a functional deep learning model. Ideal for those who want to translate theoretical knowledge into actionable insights.

Nov 9th 2026

4 Weeks

Artificial Intelligence Machine Learning Knowledge

EdX

Delft University of Technology,DelftX

AI in Practice: Applying AI (edX)

Robotics & Computer Vision

Embark on a journey to understand the practical aspects of Artificial Intelligence with 'AI in Practice: Applying AI'. This course is designed for those looking to integrate AI into their organization, offering a step-by-step plan without delving into complex algorithms or advanced programming. Learn how to harness the power of AI to drive innovation and efficiency.

Self Paced

Self-Paced

Artificial Intelligence Machine Learning AI

Coursera

Coursera Project Network

Object Localization with TensorFlow (Coursera)

Data Science

Embark on a 2-hour guided project where you'll delve into the world of object localization using TensorFlow. This course will teach you how to build and train an Object Localization model with TensorFlow's Keras API. You'll learn to classify and precisely locate emojis within images, enhancing your skills in convolutional neural networks (CNNs) for image analysis.

Nov 9th 2026

Self-Paced

Machine Learning Computer Vision Data Visualization