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The Top Courses of 2025 Are Here
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 want, and ChatGPT will build it for you.” And while AI is fundamentally changing how we code, build, and learn, the data tells a different story about what skills actually matter.
As 2025 comes to a close, we looked at our enrollment data to see which skills Codecademy learners prioritized. Here are the new courses that took off, the classics that held strong, and the hidden gems learners loved most.
Top new courses of 2025
First, the 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 faster, the real differentiator is user experience, which 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 research, wireframing, and visual design principles using industry tools like Figma, with hands-on projects that mirror real-world design processes.
Intro to Vibe Coding
Dig into vibe coding the right way, by 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 assistants, but how to use them without becoming dependent on tools you don’t understand.
Learn Intermediate C++
Build on your foundational C++ knowledge with object-oriented programming, advanced data structures, and performance optimization techniques that are used in game development and embedded systems. While high-level languages get the hype, the systems that power games, trading platforms, and hardware still run on C++ (and intermediate skills separate hobbyists from professionals).
Learn Intermediate C#
Build cross-platform applications with C# and the .NET framework, mastering skills like ASP.NET and LINQ while gaining expertise in the language that powers Unity, one of the world’s most-used game engines. C#’s versatility across web, mobile, and game development makes it a strategic choice for developers who want one language that can do it all.
Principles of Data Literacy
Understand how statistics inform conclusions, how design shapes data storytelling, and what kinds of analysis you can perform on datasets. AI can surface insights in seconds, but understanding what those insights mean — and whether to trust them — still requires human judgment.
Build Deep Learning Models with PyTorch
Learn to build, train, and deploy neural networks using PyTorch, the 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 work, this is where you learn to build them yourself rather than just prompting someone else’s model.
Learn How to Build AI Agents
Conversational AI is table stakes now — the competitive advantage is building agents that can actually execute tasks, make decisions, and operate independently without constant human intervention. In this course, you’ll design patterns and core components of autonomous AI systems, from prompt engineering for agentic tasks to building end-to-end workflows in Python.
Learn Python Developer Tools with VS Code
Set up a professional development environment, master debugging techniques, and implement test-driven development using Python’s unittest framework. Writing code is one thing — knowing how to troubleshoot when it breaks, validate that it works as intended, and catch bugs before they reach production is what separates beginners from working developers.
Learn Explainable AI
Build on your machine learning foundation with advanced techniques like SHAP, LIME, and 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 like, why AI models made a specific prediction, how to debug unexpected behavior, and how to prove to stakeholders that the model isn’t biased.
The 5 most popular courses
And the overall winners? These courses pulled the most learners in 2025, regardless of when they first launched.
Learn Python 3
Python remains the go-to language for data science, machine learning, automation, and just about everything else. Ironically, Python powers the AI tools people thought would replace coding.
Learn HTML
Every website, every app interface, every digital experience starts here. HTML is the foundation that doesn’t go away, no matter how sophisticated the build tools get.
Learn JavaScript
The web runs on JavaScript, and that’s not changing. Whether you’re building interactive interfaces or working with modern frameworks, this is where you start. (And fun fact: TypeScript, a superset of JavaScript, was the most-used language on GitHub this year.)
Learn Java
Enterprise systems, Android apps, backend infrastructure—Java quietly powers more of the digital world than most people realize. It’s the workhorse that keeps running.
Learn SQL
Data is everywhere, and someone needs to know how to query it. SQL remains the universal language for working with databases, and AI hasn’t changed that.
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Word of the Day: nominate
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L&D 2025 Review: Year-End Framework for What to Keep or Retire for 2026
Why an L&D 2025 Review Matters More Than Ever
A thorough L&D 2025 review must begin with an examination of the speed of change. Global research indicates that analytical thinking, creative thinking, and AI skills are among the most in-demand capabilities for the next few years. According to the World Economic Forum, six in ten workers will require training by 2027. At the same time, organisations are under pressure to prove that learning is not just “nice to have”, but directly tied to business performance.
Recent Workplace Learning data highlights that aligning learning to business goals and supporting career development are top priorities for L&D leaders. That means you cannot build the 2026 plan on instinct or tradition alone.
This article offers a structured L&D 2025 review:
- Why every learning team needs a year-end audit
- What worked (and didn’t) in 2025, based on industry signals
- A practical “Keep – Reshape – Retire” framework
- How to turn those insights into a sharper L&D strategy for 2026
To make L&D a genuine driver of performance in 2026, the first step is a clear-eyed audit of what your learning ecosystem is really delivering today.
L&D 2025 Review: Why Every Learning Team Needs a Year-End Audit
Most organisations quietly carry legacy programmes from one year into the next. Yet, evidence from leadership and training research shows that many programmes deliver limited, short-lived behaviour change unless they are well-designed, reinforced, and aligned with work. In other words, the cost of not reviewing your L&D portfolio is real: budget locked into low-impact activities, learner fatigue and opportunity cost when critical skills are left unaddressed.
A disciplined L&D 2025 review helps you:
- Cut invisible waste by identifying “busy” learning that doesn’t improve performance or retention.
- Reallocate resources toward skills your organisation genuinely needs, based on business and workforce data.
- Strengthen credibility with leadership by showing which initiatives delivered measurable impact and which should be retired.
Treat the year-end audit as a performance management tool for your learning ecosystem, not just an administrative cleanup. Once you have a transparent view of your portfolio, the next step is to recognise where L&D is already creating real value.
What Worked in L&D in 2025 (Based on Industry Signals)
Rise of Human-Centric Skills
The World Economic Forum’s Future of Jobs report highlights analytical and creative thinking, resilience, flexibility, curiosity and self-awareness as top skills for the coming years. These are deeply human capabilities: listening, navigating conflict, building trust and leading through uncertainty.
In 2025, many effective L&D programmes shifted from generic “soft skills” to human-centric skills tied to real work. In practice, strong programmes focused on:
- Practising deep listening to enable managers to run hybrid teams effectively.
- Applying conflict mitigation strategies to empower cross-functional project leads.
- Developing coaching and feedback skills, linking directly to effective performance reviews.
Signals for your L&D 2025 review:
- Prioritise programmes that build applied human skills in real work contexts, not generic “soft skills” modules
- Check whether behavioural outcomes are clearly defined (e.g., quality of 1:1s, conflict resolution, team trust)
- Keep and scale initiatives that demonstrably improve collaboration, decision-making and leadership confidence
Skills-Based Learning as a Priority
Skills-based learning continued to move from theory into practice. L&D leaders are utilising skills taxonomies and AI-supported skills mapping to link learning to roles, career paths and internal mobility. Skills-based hiring research indicates that while many firms are still in the early stages, those that commit to skills-based approaches experience gains in mobility and performance.
The most effective L&D strategy moves from course catalogues to skills ecosystems:
- Define critical skills per role
- Map existing proficiency
- Link learning assets and stretch assignments to specific skills
Signals for your L&D 2025 review:
- Keep initiatives that are clearly mapped to role-specific skills and career paths
- Reshape learning catalogues that list “courses” without a skills framework or connection to mobility
- Invest in tools and processes that maintain a living skills taxonomy, validated by managers and business data
Systemic Leadership Approaches
Evidence reviews of leadership development emphasise that context, practice and organisational support matter as much as the individual leader. In 2025, more organisations treated leadership as a system rather than a series of heroic individuals.
Successful programmes tended to:
- Combine learning with real business projects
- Work with intact teams, not just individuals
- Include manager and senior-leader sponsorship to reinforce behaviour
Signals for your L&D 2025 review:
- Keep leadership initiatives that are embedded in real business challenges and team-based work
- Reshape “high-potential” or leader programmes that operate in isolation from the organisation’s context and sponsors
- Retire one-off leadership events that lack coaching, follow-through and visible senior backing
AI Adoption: Big Features, Slow Uptake
AI tools rapidly expanded inside organisations, from content curation to personalised career pathing. For instance, Salesforce reported that its internal AI talent marketplace (Career Connect) helped fill around half of open positions internally by matching employee skills with roles and learning.
Yet, broader research shows that AI and digital skills gaps remain significant: Adobe’s recent study found that 65% of job seekers view AI knowledge as necessary for better jobs. At the same time, a Deloitte survey reported that 68% of executives struggle with AI skill shortages, and IBM estimates 40% of workers will need reskilling in the next three years.
The signal for your L&D 2025 review: AI features are everywhere, but adoption and confident usage are still catching up.
Signals for your L&D 2025 review:
- Keep AI initiatives that are tied to specific workflows, job families and clear performance outcomes
- Reshape AI rollouts that focus on tools and features without building foundational AI literacy and habits
- Retire or consolidate AI add-ons that show low usage, unclear ownership or no link to skills, tasks or business metrics
Just as important as celebrating what worked is being honest about the initiatives that drained time and budget without making a meaningful impact.
What Didn’t Work in 2025 (And Needs to Be Retired in 2026)
Low-Impact ‘Feel-Good’ Programmes
Many organisations still run highly engaging workshops or events that participants enjoy, but cannot link to performance, retention or progression. Research in training effectiveness highlights that programmes without clear behavioural outcomes and follow-up rarely sustain change.
If your L&D 2025 review shows high satisfaction scores but no measurable impact, classify these programmes as either Reshape or Retire.
Overloaded Learning Catalogues
Years of adding new e-learning and micro-courses have left many LMSs bloated. Learners struggle to find what matters, while critical skills pathways remain unclear. Skills-based learning research suggests that tagging content to skills and roles, and removing redundant materials, is key to better outcomes.
One-Off Leadership Workshops
Multiple studies and practitioner analyses confirm that one-off workshops are among the least effective formats for sustained leadership behaviour change. Without coaching, practice and reinforcement, participants quickly revert to old habits.
Outdated Soft-Skills Language and Psychobabble
Terms like “mindset”, “resilience”, and “empowerment” are still applicable when defined clearly. The problem is vague usage. Programmes that rely on motivational language without specifying observable behaviours (e.g., “gives clear feedback weekly”) are difficult to measure or improve.
AI Features Without Strategy
Finally, many organisations added AI plugins to their LMS or productivity stack without redesigning workflows. Given the documented AI skills gap and reskilling needs, tools that are not linked to tasks, habits, and support will predictably see low adoption.
With a clearer sense of both the hits and the misses, you can now apply a simple, objective framework to decide what stays, what changes and what goes.
The 3-Step ‘Keep – Reshape – Retire’ L&D Review Framework
Use this framework with your L&D 2025 review data (engagement, skills, performance, retention, internal mobility). To move from impressions to clear decisions, start by pulling together your L&D 2025 review data, including engagement, skills, performance, retention, and internal mobility. Then use this simple “Keep – Reshape – Retire” framework to decide which initiatives to double down on, which to redesign and which to phase out in 2026.
Keep — What Delivered Measurable Impact
Keep programmes that:
- Targeted clearly defined skills tied to strategic priorities
- Showed evidence of behaviour change (e.g., better quality 1:1s, faster onboarding)
- Contributed to performance metrics, engagement or retention
Checklist (Keep):
- Evident skill and behaviour outcomes
- Measurable business or talent impact
- Strong stakeholder sponsorship
- Healthy utilisation from the target audience
Reshape — What Had Engagement but Low Impact
Reshape programmes that people like but that do not yet show a substantial impact. Options:
- Redesign content into shorter, workflow-integrated formats
- Add practice, coaching and nudges (e.g., prompts in collaboration tools)
- Use AI-supported skills mapping to personalise pathways and recommendations
Checklist (Reshape):
- High satisfaction, weak performance link
- Opportunity to tie to clear skills and KPIs
- Can be embedded into daily tools and routines
Retire — What Didn’t Move the Needle
Retire programmes that:
- Achieve completions but show no meaningful behavioural or business change
- Duplicate other content or are based on outdated models.
- Are compliance-driven, but could be replaced with more efficient, modern formats
Checklist (Retire):
- No clear owner or strategic sponsor
- No recent evidence of impact
- Better or more current alternatives exist.
The real power of Keep – Reshape – Retire lies in what you do next: turning those decisions into a sharper, more focused L&D strategy for 2026.
How to Build a Better L&D Strategy for 2026
For your L&D 2025 review to flow directly into a sharper L&D strategy for 2026, here are five practical moves:
- Anchor everything in business outcomes.
Use performance, customer and talent metrics to define the few critical capability gaps you must close. - Design around skills, not courses.
Maintain a living skills framework linked to roles, learning, projects and internal mobility, using tools such as AI-supported skills mapping and marketplaces. - Make learning systemic for leaders.
Combine leadership development with real business challenges, peer learning and manager/sponsor involvement, reflecting evidence on practical leadership training. - Address the AI and digital skills gap explicitly.
Use targeted AI literacy programmes aligned to job families and workflows, recognising the widespread AI skills shortages and reskilling needs reported by multiple studies. - Simplify your ecosystem with the right technology.
Modern LMS platforms can streamline content, track skills, and connect learning with data. For example, Alison offers a cloud-based learning management system with a free LMS tier and paid LMS+ options, helping organisations deliver and track online training across many subjects and teams.
You can explore features and pricing here, or learn more about the platform. For tailored support on rolling out a 2026 L&D strategy, you can enquire with the team directly via this contact form.
When these choices are anchored in skills, data and business outcomes, L&D stops being a cost centre and starts to look like a strategic advantage.
L&D in 2026 Will Reward Teams That Prioritise Impact
The organisations that will thrive in 2026 are those that treat learning as a strategic lever, not a content library. A thoughtful L&D 2025 review using the Keep – Reshape – Retire framework allows you to cut low-impact activity, double down on what works and invest in human-centric, skills-based, AI-enabled learning that actually changes behaviour.
Use data, evidence and clear business outcomes to guide your L&D 2025 review. Your 2026 L&D strategy will be leaner, more focused and far more defensible in the boardroom, and more valuable for the people whose skills and careers depend on it.
A strong review and strategy only matter if they translate into concrete decisions, clear priorities and visible action in the first months of 2026.
Your Next Step: Turn the L&D 2025 Review into Action
To move from insight to execution, treat your L&D 2025 review as the starting point for a concrete 90-day action plan:
- Pull the data together. Combine engagement, skills, performance, retention and internal mobility insights into one view of what’s working.
- Apply Keep – Reshape – Retire. Make explicit decisions on which programmes to scale, redesign or phase out.
- Prioritise 3–5 critical capabilities for 2026. Anchor them in business outcomes, not just learning hours or completion rates.
- Align your tech and processes. Use your LMS, skills tools and AI capabilities to support skills-based, workflow-integrated learning.
- Secure sponsorship. Share a concise L&D 2026 story with leaders: what you’ll stop, what you’ll start and how it ties to performance.
If you’d like support turning this review into a concrete plan, we can help.
You can explore Alison’s Free LMS, the world’s largest free online learning platform and LMS+, with premium options to streamline content, track skills, and connect learning to data, or get in touch with the team for tailored guidance on building your 2026 L&D strategy.
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