Ivy League credits for free: Here's a list of Harvard's Computer Science courses you can take online

Getting an Ivy League education used to mean elite admissions and expensive tuition—but not anymore. Thanks to Harvard University’s commitment to open learning, students from around the world can now access top-tier Computer Science courses online for free.

Whether you're looking to explore coding basics or dive into artificial intelligence and cybersecurity, Harvard's online offerings can help you build real-world skills at zero cost.These self-paced courses are available through platforms like edX and Harvard’s Professional and Lifelong Learning (PLL) site. You can audit all of them for free, and if you want a certificate, you can pay a fee to get one that adds value to your resume or LinkedIn profile.Here’s a closer look at some of the most valuable CS courses Harvard offers online:

CS50x: Introduction to Computer Science

Harvard’s flagship course, CS50x: Introduction to Computer Science, is widely considered one of the best beginner programming courses online. Designed to be completed in around 12 weeks, it covers core concepts like algorithms, data structures, memory, and languages such as C, Python, SQL, and JavaScript. Taught by Professor David J.

Malan, it combines theory with hands-on assignments to develop both coding skills and problem-solving ability.

Perfect for students with little to no background in computer science.

CS50’s Introduction to Artificial Intelligence with Python

If you’ve completed CS50x or have some Python experience, CS50’s Introduction to Artificial Intelligence with Python is a great next step. In just 7 weeks, students explore foundational AI topics like search algorithms, machine learning, neural networks, and natural language processing.

With practical coding projects and real-world use cases, it’s an ideal course for those eager to understand how AI works behind the scenes.

Web Programming with Python and JavaScript

CS50’s Web Programming with Python and JavaScript is a project-heavy course that dives into the world of full-stack development. Over the span of 12 weeks, students build interactive, data-driven websites using Flask, SQL, JavaScript, HTML, and CSS. It’s best suited for learners who already understand basic programming and want to create real-world web apps from the ground up.

Introduction to Cybersecurity

Cybersecurity is one of the fastest-growing fields, and CS50’s Introduction to Cybersecurity makes it approachable in just 6 weeks. This course explores how systems are attacked and defended, covering topics like encryption, social engineering, software vulnerabilities, and risk management. Students develop a strong foundation in how to identify and respond to common security threats—vital knowledge in today's digital world.

CS50 for Lawyers

CS50 for Lawyers is a 10-week course designed for students from non-technical backgrounds—especially those in law, public policy, or business. While it doesn’t require prior coding experience, it still introduces core computing concepts and digital systems, helping students understand how technology intersects with legal frameworks and modern society. It's a must for future professionals navigating tech-heavy industries.

Introduction to Programming with Scratch

If you're completely new to coding, Introduction to Programming with Scratch is a friendly 3-week course that introduces programming logic through visual blocks. Students create animations, games, and interactive stories, while learning fundamental coding concepts like loops, variables, and conditionals. It’s ideal for school students, beginners, or anyone curious about how code works—without diving into text-based languages right away.

Data Science: Machine Learning

Harvard also offers a solid introduction to machine learning through its Data Science: Machine Learning course. Over 8 weeks, students learn how to build prediction models using R programming, touching on topics like linear regression, classification, and recommendation systems. The course focuses on practical applications in fields like healthcare, e-commerce, and marketing—making it ideal for students interested in data-driven careers.