Machine Learning

EdX

IBM

Deep Learning with Python and PyTorch (edX)

Statistics & Data Analysis Data Science

Dive into the world of advanced deep learning with our expert-led course, 'Deep Learning with Python and PyTorch'. This course is designed to build upon your foundational knowledge in PyTorch, equipping you with the skills to construct sophisticated deep neural networks and train them using state-of-the-art methodologies. Whether you're a data scientist, machine learning enthusiast, or AI developer, this course will empower you to create and deploy complex models that can tackle real-world challenges.

Self Paced

Self-Paced

Python ML Machine Learning

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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

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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

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Coursera

University of Alberta,Alberta Machine Intelligence Institute

A Complete Reinforcement Learning System (Capstone) (Coursera)

Data Science

In this final course of the Reinforcement Learning specialization, you will synthesize your acquired knowledge to build a complete reinforcement learning (RL) system. By tackling a real-world problem, you'll learn how each component—problem formulation, algorithm selection, parameter tuning, and representation design—works together in a cohesive solution. This capstone project requires you to create both the environment simulating your problem and an RL agent with neural network function approximation. You will also conduct a scientific study of your learning system, enhancing your ability to assess the robustness of RL agents.

Oct 26th 2026

5-12 Weeks

Artificial Intelligence Algorithms Machine Learning

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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

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EdX

Université de Montréal,UMontrealX

Recommender Systems: Behind the Screen (edX)

Computer Science

Explore the world of recommender systems and discover how they power personalized item suggestions on platforms like Netflix, Amazon, and LinkedIn. This course will teach you the fundamental concepts and methods used in creating relevant recommendations for users across various online ecosystems.

Self Paced

5-12 Weeks

Machine Learning Systems Computer Science

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EdX

IBM

Analyzing Data with Python (edX)

Statistics & Data Analysis CS: Programming

Unlock the potential of your data with 'Analyzing Data with Python' on edX. This course equips you with essential skills in handling, manipulating, and analyzing complex datasets using powerful Python libraries such as numpy, pandas, SciPy, and scikit-learn. Whether you're a beginner or looking to advance your analytical capabilities, this course offers a structured pathway to mastering data analysis and machine learning techniques.

Self Paced

Self-Paced

Python Machine Learning Data Analysis

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EdX

IBM

PyTorch Basics for Machine Learning (edX)

Statistics & Data Analysis Data Science

Dive into the world of PyTorch with our introductory course, where you'll learn the essential skills needed for machine learning. From implementing basic algorithms to optimizing your models, this course is designed to give you a strong foundation in using PyTorch efficiently. Start your journey towards mastering deep learning today.

Self Paced

Self-Paced

ML Machine Learning Linear Regression

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EdX

University of Maryland, College Park,University System of Maryland - USM,USMx,UMD

Digital Marketing Analytics: Tools and Techniques (edX)

Marketing & Communication Business

Unlock the potential of your digital marketing campaigns by mastering advanced analytical tools and techniques. This course will equip you with essential knowledge in SEO, SEM, web analytics, and cutting-edge technologies like machine learning and AI/Big Data to drive growth and optimize your online presence effectively.

Self Paced

Self-Paced

Machine Learning SEO Digital Marketing

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