Machine Learning Basics (Coursera)

Coursera

Alibaba Cloud Academy

Alibaba Cloud Native Solutions and Container Service (Coursera)

CS: Information & Technology

This course demonstrates how to use Alibaba Cloud Container Service and Container Registry Service to design and develop architectures related to cloud native applications, services, and security solutions. This course helps you understand the basic concepts of cloud native, the commercial implementation of container technology, and Kubernetes technology as well as extra benefits provided by Alibaba Cloud. This course is intended to prepare users to take the Alibaba Cloud Native ACA certification exam.

Aug 10th 2026

5-12 Weeks

Machine Learning Cloud Computing Kubernetes

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Coursera

Google Cloud

Google Cloud Product Fundamentals en Español (Coursera)

Business

Este curso, que es una continuación de Business Transformation with Google Cloud, le permitirá conocer la perspectiva tecnológica de la transformación de una organización. Para ser más específicos, explicaremos cómo la tecnología de Google Cloud puede transformar digitalmente una organización en los siguientes aspectos: modernizar la infraestructura de TI; mejorar la forma en que los equipos desarrollan las aplicaciones que utiliza la empresa; saber cómo aprovechar el aprendizaje automático y la inteligencia artificial para generar más valor; advertir el rol fundamental de las herramientas de productividad basadas en la nube, como G Suite, para cumplir con el trabajo, y comprender los desafíos y las oportunidades de la administración de costos que trae aparejados una infraestructura de TI cambiante basada en la nube.

Aug 3rd 2026

5-12 Weeks

Artificial Intelligence Cloud Machine Learning

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Coursera

Wesleyan University

Machine Learning for Data Analysis (Coursera)

Statistics & Data Analysis Data Science

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

Jul 27th 2026

4 Weeks

Python Machine Learning Data Analysis

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Coursera

University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Statistics & Data Analysis Data Science

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Aug 3rd 2026

5-12 Weeks

Philosophy Artificial Intelligence Security

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Coursera

Universidad Austral

NLP Modelos y Algoritmos (Coursera)

CS: Programming Data Science

Este curso te brindará los conocimientos necesarios para la implementación de algoritmos de NLP. Mediante el uso de los últimos algoritmos más populares en NLP se procederá a dar solución a un conjunto de problemas propios del área. Para realizar este curso es necesario contar con conocimientos de programación de nivel básico a medio, deseablemente conocimiento básico del lenguaje Python y es recomendable conocer los Jupyter Notebooks en el entorno Anaconda.

Aug 3rd 2026

4 Weeks

ML Algorithms NLP

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Coursera

Johns Hopkins University

The Unix Workbench (Coursera)

Data Science

Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app. The means to these goals are sometimes carried out by writing software. Software can’t be mined out of the ground, nor can software seeds be planted in spring to harvest by autumn. Software isn’t produced in factories on an assembly line. Software is a hand-made, often bespoke good. If a software developer is an artisan, then Unix is their workbench.

Aug 3rd 2026

4 Weeks

Programming Unix Machine Learning

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Coursera

DeepLearning.AI

AI For Everyone (Coursera)

Business

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

Aug 10th 2026

4 Weeks

Artificial Intelligence Machine Learning Neural Networks

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Coursera

Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam en Español (Coursera)

CS: Information & Technology

En este curso, se emplea un enfoque descendente a fin de identificar las habilidades y los conocimientos adquiridos, así como poner en evidencia la información y las áreas de habilidades que requieren una preparación adicional. Puede aprovechar este curso para crear su propio plan de preparación personalizado. Lo ayudará a distinguir lo que sabe de lo que no. Además, le permitirá desarrollar y practicar las habilidades que se les exigen a los profesionales que realizan este trabajo.

Aug 10th 2026

1 Week

Machine Learning Data Engineer Google Cloud

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Coursera

Sungkyunkwan University - SKKU

Machine Learning Algorithms (Coursera)

CS: Software Engineering Data Science

In this course you will: understand the naïve Bayesian algorithm; understand the Support Vector Machine algorithm; understand the Decision Tree algorithm; understand the Clustering. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Aug 3rd 2026

4 Weeks

Machine Learning Clustering Support Vector Machines

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Coursera

Coursera Project Network

Machine Learning in Retail (Coursera)

Data Science

Who are your customers? What are they like? How do they interact with your business? This Short Course was created to help analysts better understand their customer behaviour through the power of machine learning. In this course, you will apply two different machine learning techniques to segment customers according to their purchasing behaviour and provide actionable insights for each group. Along the way, you'll also examine some other retail case studies, including web visitor analysis for marketing and store clustering for logistics.

Aug 3rd 2026

1 Week

ML Machine Learning Decision Tree

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Coursera

Universidad de los Andes

Fundamentos de estadística aplicada (Coursera)

Statistics & Data Analysis CS: Programming

El curso está orientado a profesionales de diferentes campos, que estén interesados en adquirir conceptos fundamentales de estadística aplicada. El contenido del curso será particularmente útil para profesionales que estén interesados en adelantar estudios de postgrado en ingeniería, administración o economía, entre otras profesiones, y que requieran de una adecuada fundamentación en estadística.

Aug 3rd 2026

4 Weeks

Statistics Data Analysis Linear Regression

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Coursera

Edge Impulse

Computer Vision with Embedded Machine Learning (Coursera)

Data Science

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems.

Aug 3rd 2026

3 Weeks

Machine Learning Computer Vision Object Detection

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