9 online computer science classes that are free until May 31 — and each comes with a free certificate you can add to LinkedIn

Learn "everything about the Internet" in this course, starting with the operational functions of Internet technologies (IPv4, IPv6, TCP, UDP, addressing, routing, domain names, etc.) and your PC/laptop's security and gateway Internet setup and basic principles. Through a Wireshark experiment, you'll also observe how the TCP/IP packets and security systems serve your PC/laptop.

This is an accelerated 6-hour course with labs for AWS professionals. It introduces students to the core capabilities of Google Cloud Platform through four technology pillars: networking, compute, storage, and database. It's designed for AWS professionals with at least a basic proficiency with networking technologies like subnets and routing and experience with Amazon VPC, Amazon EC2 instances, and disks.

Google Cloud's Industrial IoT course covers the network architecture in its entirety, from sensors and devices to analysis. According to Google Cloud, you'll be able to create a streaming data pipeline, to create registries with Cloud IoT Core, topics and subscriptions with Cloud Pub/Sub, store data on Google Cloud Storage, query the data in BigQuery, and gain data insights with Dataprep by the end of the course.

Google Cloud's Dialogflow course is a "deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools."

In this project-centered course, you'll design, build, and distribute your own unique application for the Android mobile platform. You'll exit it with the understanding of Android specificities that make moving onto more advanced coursework possible. It's best suited for those who have some prior experience programming in Java.

This is a good course for beginners. It'll teach you how to program in Scratch, an easy to use visual programming language, and provide an introduction to the fundamental principles of computing and thought processes of software engineers. You'll gain skills in Graph Theory, C++11, C++, and Graph Algorithms.

This course covers the main principles of computer vision: digital signal processing, neuroscience, and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision.

It'll be good for anyone interested in exploring the concepts of computer vision or could use a refresher in mathematical concepts of computer vision. The course recommends that learners have basic programming skills and experience, specifically in MATLAB, with basic linear algebra, 3D co-ordinate systems and transformations, basic calculus and basic probability.

This course uses the programming system and language called MATLAB to teach computer programming to those with little to no previous experience because it's "easy to learn, versatile and very useful for engineers and other professionals." But, it's good to note that it's also not a MATLAB tutorial; it's an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming.