2025 was supposed to be the year coding became obsolete. AI coding assistants got smarter. “Vibe coding” entered the lexicon. Every other LinkedIn post declared that programming skills were dead“just describe what you wantand ChatGPT will build it for you.” And while AI is fundamentally changing how we codebuildand learnthe data tells a different story about what skills actually matter.

As 2025 comes to a closewe looked at our enrollment data to see which skills Codecademy learners prioritized. Here are the new courses that took offthe classics that held strongand the hidden gems learners loved most.

Top new courses of 2025

Firstthe fresh releases. These courses launched in 2025 and took off with learners looking to level up in emerging areas like agentic AI and vibe coding.  

UX Designer Career Path

As AI makes building products fasterthe real differentiator is user experiencewhich is the human-centered design discipline that deals with the holistic experience around a product or service. The UX Designer career path teaches you all of the skills you need to design interfaces people love to use. You’ll learn user researchwireframingand visual design principles using industry tools like Figmawith hands-on projects that mirror real-world design processes.

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Intro to Vibe Coding

Dig into vibe coding the right wayby mastering AI-assisted coding tools and learning when to use them effectively on everything from brainstorming projects to building applications from scratch. This course addresses the real question: not if you should use AI coding assistantsbut how to use them without becoming dependent on tools you don’t understand.

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Learn Intermediate C++

Build on your foundational C++ knowledge with object-oriented programmingadvanced data structuresand performance optimization techniques that are used in game development and embedded systems. While high-level languages get the hypethe systems that power gamestrading platformsand hardware still run on C++ (and intermediate skills separate hobbyists from professionals).

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Learn Intermediate C#

Build cross-platform applications with C# and the .NET frameworkmastering skills like ASP.NET and LINQ while gaining expertise in the language that powers Unityone of the world’s most-used game engines. C#’s versatility across webmobileand game development makes it a strategic choice for developers who want one language that can do it all.

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Principles of Data Literacy

Understand how statistics inform conclusionshow design shapes data storytellingand what kinds of analysis you can perform on datasets. AI can surface insights in secondsbut understanding what those insights mean — and whether to trust them — still requires human judgment.

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Build Deep Learning Models with PyTorch

Learn to buildtrainand deploy neural networks using PyTorchthe framework behind state-of-the-art AI models from text and image classification to transformer-based architectures. If you’ve been using AI tools and wondering how they workthis is where you learn to build them yourself rather than just prompting someone else’s model.

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Learn How to Build AI Agents

Conversational AI is table stakes now — the competitive advantage is building agents that can actually execute tasksmake decisionsand operate independently without constant human intervention. In this courseyou’ll design patterns and core components of autonomous AI systemsfrom prompt engineering for agentic tasks to building end-to-end workflows in Python.

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Learn Python Developer Tools with VS Code

Set up a professional development environmentmaster debugging techniquesand implement test-driven development using Python’s unittest framework. Writing code is one thing — knowing how to troubleshoot when it breaksvalidate that it works as intendedand catch bugs before they reach production is what separates beginners from working developers.

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Learn Explainable AI

Build on your machine learning foundation with advanced techniques like SHAPLIMEand feature importance analysis to interpret how models make decisions. This is an intermediate course (with 4 prerequisites) that’ll teach you what’s happening in the black box. Things likewhy AI models made a specific predictionhow to debug unexpected behaviorand how to prove to stakeholders that the model isn’t biased.

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The 5 most popular courses

And the overall winners? These courses pulled the most learners in 2025regardless of when they first launched.

Learn Python 3

Python remains the go-to language for data sciencemachine learningautomationand just about everything else. IronicallyPython powers the AI tools people thought would replace coding.

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Learn HTML

Every websiteevery app interfaceevery digital experience starts here. HTML is the foundation that doesn’t go awayno matter how sophisticated the build tools get.

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Learn JavaScript

The web runs on JavaScriptand that’s not changing. Whether you’re building interactive interfaces or working with modern frameworksthis is where you start. (And fun fact: TypeScripta superset of JavaScriptwas the most-used language on GitHub this year.)

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Learn Java

Enterprise systemsAndroid appsbackend infrastructure—Java quietly powers more of the digital world than most people realize. It’s the workhorse that keeps running.

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Learn SQL

Data is everywhereand someone needs to know how to query it. SQL remains the universal language for working with databasesand AI hasn’t changed that.

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