Build LLM Apps with LangChain.js (Coursera)

Coursera

University of Michigan

JavaScript, jQuery, and JSON (Coursera)

CS: Programming

In this course, we'll look at the JavaScript language, and how it supports the Object-Oriented pattern, with a focus on the unique aspect of how JavaScript approaches OO. We'll explore a brief introduction to the jQuery library, which is widely used to do in-browser manipulation of the Document Object Model (DOM) and event handling. You'll also learn more about JavaScript Object Notation (JSON), which is commonly used as a syntax to exchange data between code running on the server (i.e. in PHP) and code running in the browser (JavaScript/jQuery). It is assumed that learners have already taken the Building Web Applications and Building Database Applications in PHP courses in this specialization.

Jun 22nd 2026

4 Weeks

Programming Javascript JSON

Details

Coursera

Alberta Machine Intelligence Institute

Data for Machine Learning (Coursera)

Statistics & Data Analysis Data Science

This course is all about data and how it is critical to the success of your applied machine learning model.

Jun 22nd 2026

4 Weeks

Python Machine Learning Linear Algebra

Details

Coursera

University of California, San Diego

Basic Data Processing and Visualization (Coursera)

Statistics & Data Analysis Data Science

This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization.

Jun 22nd 2026

5-12 Weeks

Python Data Visualization Data Processing

Details

Coursera

University of California, San Diego

Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera)

Sci: Biology & Life Sciences Health & Society

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.

Jun 22nd 2026

5-12 Weeks

Genes DNA Genomes

Details

Coursera

University of California, Irvine

The Raspberry Pi Platform and Python Programming for the Raspberry Pi (Coursera)

CS: Software Engineering

The Raspberry Pi is a small, affordable single-board computer that you will use to design and develop fun and practical IoT devices while learning programming and computer hardware. In addition, you will learn how to set up up the Raspberry Pi environment, get a Linux operating system running, and write and execute some basic Python code on the Raspberry Pi. You will also learn how to use Python-based IDE (integrated development environments) for the Raspberry Pi and how to trace and debug Python code on the device.

Jun 22nd 2026

4 Weeks

Programming Python Computer Programming

Details

Coursera

DeepLearning.AI

Neural Networks and Deep Learning (Coursera)

Data Science

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning.

Jun 22nd 2026

4 Weeks

Programming Machine Learning Neural Networks

Details

Coursera

University of Michigan

Fitting Statistical Models to Data with Python (Coursera)

Data Science

In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.

Jun 22nd 2026

4 Weeks

Python Statistics Data

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).

Jun 22nd 2026

4 Weeks

Programming Python Machine Learning

Details

Coursera

The State University of New York

How To Create a Website in a Weekend! (Project-Centered Course) (Coursera)

CS: Software Engineering CS: Information & Technology

In this project-centered course*, you’ll design, build, and publish a basic website that incorporates text, sound, images, hyperlinks, plug-ins, and social media interactivity. We’ll provide you with step-by-step instructions, exercises, tips, and tools that enable you to set up a domain name, create an attractive layout for your pages, organize your content properly, ensure that your site functions well across different operating systems and on mobile devices, keep your site safe, and finally, let people know your site is online. We’ll even show you how to track your visitors.

Jun 22nd 2026

3 Weeks

Programming HTML Javascript

Details

Coursera

University of Michigan

Python Project: pillow, tesseract, and opencv (Coursera)

CS: Software Engineering CS: Programming

This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project.

Jun 22nd 2026

3 Weeks

Programming Python OpenCV

Details

Coursera

University of California, San Diego

Deploying Machine Learning Models (Coursera)

Statistics & Data Analysis Data Science

In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets.

Jun 22nd 2026

4 Weeks

Python Machine Learning Big Data

Details

Coursera

University of Michigan

Advanced Styling with Responsive Design (Coursera)

CS: Software Engineering

It used to be the case that everyone viewed webpages on about the same size screen. But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed. People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer). This ability to respond to any platform is called responsive design.

Jun 22nd 2026

4 Weeks

Javascript Bootstrap Web Design

Details