Machine Learning Basics (Coursera)

Coursera

Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Health & Society Data Science

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Sep 28th 2026

4 Weeks

Healthcare Artificial Intelligence Machine Learning

Details

Coursera

Google Cloud

Attention Mechanism (Coursera)

CS: Information & Technology

This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.

Sep 21st 2026

1 Week

Machine Learning Neural Networks Attention

Details

Coursera

University of Illinois at Urbana-Champaign

Machine Learning and Human Learning (Coursera)

Education

This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence.

Sep 28th 2026

4 Weeks

Learning Artificial Intelligence Machine Learning

Details

Coursera

Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Business

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Sep 28th 2026

5-12 Weeks

Artificial Intelligence Cloud Machine Learning

Details

Coursera

Fractal Analytics

Introduction to Vertex AI (Coursera)

Data Science

Welcome to "Introduction to Vertex AI"! In this concise yet impactful microlearning course spanning around 4 hours, we're diving into the world of Vertex AI to equip you with fundamental insights and practical skills. We'll unravel the essentials of Vertex AI, guiding you through the interface to empower you to navigate this powerful platform seamlessly. Get ready to grasp strategic insights that will enable you to effectively harness the capabilities of Vertex AI in your projects.

Sep 28th 2026

2 Weeks

Artificial Intelligence Machine Learning Problem Solving

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Coursera

Illinois Tech

Cloud: Platform as a Service - Master's (Coursera)

CS: Information & Technology

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

Sep 28th 2026

5-12 Weeks

Cloud Security Machine Learning

Details

Coursera

New York University

Guided Tour of Machine Learning in Finance (Coursera)

Data Science

This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.

Sep 21st 2026

4 Weeks

ML Artificial Intelligence Machine Learning

Details

Coursera

DeepLearning.AI

Generative AI with Large Language Models (Coursera)

Robotics & Computer Vision

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

Sep 21st 2026

3 Weeks

Machine Learning Python Programming Large Language Models

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Coursera

Karlsruhe Institute of Technology - KIT

Machine Translation (Coursera)

Data Science

Welcome to the CLICS-Machine Translation MOOC. This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.

Sep 28th 2026

5-12 Weeks

Machine Learning Translation Data Science

Details

Coursera

Universidad Nacional de Colombia

Sistemas difusos (Coursera)

Statistics & Data Analysis Data Science

Los sistemas difusos permiten efectuar cálculos cuando hay información con incertidumbre, o cuando se debe combinar información tanto cuantitativa como cualitativa. Se trata de una aproximación matemática para modelar esas situaciones. Este curso está diseñado para ayudar a entender y explicar cómo funcionan dichos sistemas. El curso tiene una aproximación teórica y práctica. Los principios matemáticos son de un nivel bajo y están al alcance de un público muy amplio. El curso cuenta con varios laboratorios para aprender a utilizar las herramientas de software que usan esos principios. Este componente práctico requiere una comprensión mínima de programación.

Sep 21st 2026

4 Weeks

Machine Learning Coursera Plus Fuzzy Systems

Details

Coursera

Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Statistics & Data Analysis Data Science

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Sep 28th 2026

5-12 Weeks

MATLAB Octave Machine Learning

Details

Coursera

Sungkyunkwan University - SKKU

Machine Learning for Smart Beta (Coursera)

Economics & Finance Business

In this 4 week course, you will learn about Smart Beta products. Smart betas products have the characteristics of both passive investment(having predetermined rules) and active investments(allows for factor investment). We will walk through the creation mechanisms behind different smart beta products and recreate some of them using R programming.

Sep 21st 2026

4 Weeks

Machine Learning Regression Classification

Details