Build LLM Apps with LangChain.js (Coursera)

Coursera

Scrimba

Learn React (Coursera)

Computer Science

The ultimate React 101 - the perfect starting point for any React beginner. Learn the basics of modern React by solving 140+ interactive coding challenges and building eight fun projects. In this 143-part interactive tutorial, you'll learn how to build dynamic, interactive web applications with React.js. With Scrimba’s head of education, Bob Ziroll, as a guide, you’ll get to know all the bang-up-to-date features of React and fix them firmly in your memory by using them to create hands-on projects.

Sep 21st 2026

3 Weeks

Javascript Web Frameworks Javascript Programming

Details

Coursera

University of Chicago

Machine Learning: Concepts and Applications (Coursera)

Data Science

This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a wide variety of techniques. Those techniques include linear regression with ordinary least squares, logistic regression, support vector machines, decision trees and ensembles, clustering, principal component analysis, hidden Markov models, and deep learning.

Sep 21st 2026

5-12 Weeks

Python Machine Learning Clustering

Details

Coursera

Scrimba

JavaScript Interview Challenges (Coursera)

Computer Science

Your essential tech interview preparation pack! Practice solving problems and honing the skills you need to succeed in a frontend coding interview. Are you applying for frontend developer roles? Do you wish to test out your JavaScript knowledge? Do you love solving code challenges? If any of the above applies to you, JavaScript Interview Challenges should be your next Scrimba course!

Sep 21st 2026

3 Weeks

Javascript Interview Coding

Details

Coursera

Johns Hopkins University

Algorithms for DNA Sequencing (Coursera)

Statistics & Data Analysis Data Science

We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.

Sep 14th 2026

4 Weeks

Python Algorithms DNA

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

Details

Coursera

Fred Hutchinson Cancer Center

Developing AI Policy (Coursera)

Data Science

AI tools are already changing how we work, and they will continue to do so for years. Over the next few years, we’re likely going to see AI used in ways we’ve never imagined and are not anticipating. This course will guide you as you lead your organization to adopt AI in a way that’s not unethical, illegal, or wrong. This course empowers you to make informed decisions and confidently create an AI policy that matches your organizational goals.

Sep 21st 2026

1 Week

Artificial Intelligence Policy Data Science

Details

Coursera

Stanford University,Universitat Pompeu Fabra

Audio Signal Processing for Music Applications (Coursera)

CS: Software Engineering

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

Sep 14th 2026

5-12 Weeks

Python Sound Signal Processing

Details

Coursera

Universidade de São Paulo, Brasil

Laboratório de Programação Orientada a Objetos - Parte 1 (Coursera)

CS: Software Engineering Computer Science

Este curso apresenta os conceitos mais importantes em torno do paradigma de desenvolvimento mais comum da indústria de software hoje: a Programação Orientação a Objetos (POO). Oferecido pelo Departamento de Ciência da Computação do Instituto de Matemática e Estatística da USP, o curso é voltado para quem já conhece os conceitos básicos de POO e quer se aprofundar no assunto, tornando-se um excelente programador. Ele funciona bem como uma sequência natural aos 2 cursos anteriores do Prof. Fabio Kon do IME-USP no coursera: Introdução à Ciência da Computação com Python.

Sep 21st 2026

5-12 Weeks

Java UML Object-Oriented Programming

Details

Coursera

Fred Hutchinson Cancer Center

Avoiding AI Harm (Coursera)

Computer Science

This course is designed for those in roles with decision making power, to help them understand major topics to consider for using and developing Artificial Intelligence (AI) responsibly, including popular Generative AI tools like ChatGPT and others. It covers real-world examples of situations where AI was used in variety of fields and situations in ways hat revealed ethical concerns. Strategies are suggested to avoid doing harm working with AI, including a framework for working responsibly with AI.

Sep 21st 2026

1 Week

Artificial Intelligence Ethics Data Science

Details

Coursera

University of Michigan

Applied Text Mining in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Sep 14th 2026

4 Weeks

Programming Python Machine Learning

Details

Coursera

Duke University

End to End LLMs with Azure (Coursera)

Data Science

This comprehensive course equips you with skills to leverage Azure for building and deploying Large Language Model (LLM) applications. Learn to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. Explore architectural patterns like Retrieval-Augmented Generation (RAG) and Azure services like Azure Search for robust applications.

Sep 21st 2026

1 Week

Azure Coursera Plus Large Language Models

Details

Coursera

Whizlabs

Exam Prep AI-102: Microsoft Azure AI Engineer Associate (Coursera)

CS: Information & Technology

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

Sep 21st 2026

5-12 Weeks

Python Artificial Intelligence Microsoft Azure

Details