Introducing new ways to get hands-on coding experience with LinkedIn Learning and CoderPad

A person jumping off of a snowy cliff, with a parachute strapped to their back, and snow-capped mountains in the distance.

Coding skills are in hot demand, and with advances in AI and tech, these skills are changing fast. Learning through hands-on practice is the best way to stay current, to up your skills. That’s why LinkedIn Learning is partnering with CoderPad to launch over 30 new coding courses in Python, Java, SQL, JavaScript, C#, and Go, designed to help learners at all levels build today’s most in-demand coding skills through interactive exercises and real-time feedback.

With these courses, you'll be able to solve real-world coding challenges in an interactive environment, designed by our industry expert instructors. Get immediate real-time feedback on your code. Submit your solution and click next to watch the instructor explain how they solved the challenge. LinkedIn Learning Code Challenges, powered by CoderPad, give you industry-standard hands-on practice for the skills you need to stay current, move forward, and prepare for what’s next.

Taking these Code Challenges, you get to stand up generative AI models, cut your teeth on advanced JavaScript, solve real-world data problems in SQL, and practice skills across top programming languages from Python to Java to Go for free through Dec. 18, 2023.

Learn more and check out a demo of LinkedIn Learning Code Challenges

Learn the Most Popular Programming Languages, Anytime, Anywhere With Code Challenges Courses — For Free through December 18, 2023

Changing landscape, new opportunities

The software world is changing, and so are software skills. LinkedIn’s Economic Graph research indicates that by 2027, tech skills are expected to change by 50% from 2015. With the rise of AI, skills for the average LinkedIn member are expected to change 65% by 2030.

To stay current and prepare for what’s next, tech talent needs to think two steps ahead to what skills they’ll need tomorrow, six months from now, next year. Technically skilled workers, more than anyone else on your teams, need to be nimble and adaptive to their ever-changing environment. Research from IBM shows while the average shelf life of a skill is five years; highly technical skills may expire after just two and a half.

On top of all this comes AI. As breathless news articles proclaim “AI is coming for coders” it’s important to get some perspective: LinkedIn data shows coding skills are in high demand across our platform. Companies rely on these critical skills to claim their space in our increasingly digital world. Contrary to claims of the “end of the programmer,” software engineers are among the top five most in-demand jobs on LinkedIn today, and the list of in-demand hard skills is dominated by developer skills and languages like Python, Java, and SQL.

AI provides us with new tools and materials to supercharge developers at their work. To take full advantage of these new AI powers, developers need broader and deeper programming skills. LinkedIn Learning’s Code Challenges offer hands-on practice with real-time feedback on-platform and integrated into the learning experience.

Learning through doing is a proven strategy for skill building, and that’s what you get with LinkedIn Learning’s Code Challenges. Whether you're just starting out or an experienced software developer, new Code Challenges courses allow you to upskill with several challenges per course, so you can not only learn, but apply skills right away.  

Enhancing your moment of learning

“If you keep watching other people dance without getting out on the floor yourself, you’ll always be a student and never become a dancer.” — My dance instructor.

My wife and I were attending the party after our first ever ballroom dancing class when the instructor sat down beside us and said these words. Then she grabbed our hands, pulled us out of our seats, and introduced us to a couple tearing it up on the dance floor. Moments later, I found myself dancing a style I’d never even heard of, assisted by a seasoned pro who knew not only how to dance but how to help me dance as well.

Hands-on practice with immediate feedback is how we build new skills, whether it be on the dance floor or in front of our computers. All the theory in the world won’t build the skills you need to apply your knowledge in the real world. Which is why our team of instructional designers, producers, and professional instructors at LinkedIn Learning constantly strive to create the best ways for you to get the hands-on practice and instant feedback you need to acquire new skills, solidify existing skills, and validate your skills as you progress on your path of lifelong learning.

From the get-go we provided exercise files to let you work alongside our instructors with your own code. Later we incorporated GitHub Codespaces to remove barriers to entry and give you an instant pre-configured hands-on practice environment to follow along. And now we’re adding code challenges powered by CoderPad and written by our industry-leading instructors to give you on-platform hands-on practice with instant feedback and skill validation right in your browser.

My career as a developer started almost 30 years ago, and with every step and at every new milestone it was hands-on practice and real-time feedback from clients, peers, and eventually students that helped me build, solidify, and validate my skills. I had the privilege of clients, coworkers, and peers willing to guide me along my path. With LinkedIn Learning’s new Code Challenges powered by CoderPad, we are making learning to code through hands-on practice and immediate feedback more accessible to everyone, from beginner to advanced. 

20 years ago I was invited to dance and it made me a dancer. Today I invite you to take our code challenges and gain the skills to call yourself a coder. This is how we humans build new skills.

Ready for a challenge? 

Try LinkedIn Learning Code Challenge courses, powered by CoderPad for free through Dec. 18, 2023:

Coding Labs 

  1. Python Practice: Object-Oriented Programming
  2. Python Practice: Operations
  3. Python Practice: Collections
  4. SQL Practice: Window Functions
  5. SQL Practice: Basic Queries
  6. SQL Practice: Intermediate Queries
  7. Java Practice: Functional Programming
  8. Java Practice: Collections
  9. Java Practice: Exception Handling
  10. JavaScript Practice: Object-Oriented Programming
  11. JavaScript Practice: Scope and Closures
  12. JavaScript Practice: String Manipulation
  13. JavaScript Practice: Events
  14. C# Practice: Attributes
  15. C# Practice: Interfaces and Abstract Classes
  16. C# Practice: Generic Collections
  17. Go Practice: Concurrency
  18. Go Practice: Functions

Advanced Courses

  1. Hands-On AI: Build a Generative Language Model from Scratch
  2. Hands-On Advanced Python: Data Exploration and Manipulation
  3. Advanced Python: Build Hands-On Projects with Design Patterns
  4. Solve Real-World Data Problems with SQL
  5. JavaScript: Five Advanced Challenges and Concepts
  6. Advanced Java: Hands-on with Streams, Lambda Expressions, Collections, Generics and More
  7. Advance Go Programming: Data Structures, Code Architecture, and Testing
  8. Treating Go as an Object-Oriented Language
  9. Advanced C#: Hands-on with LINQ, Dynamic Type, Extension Methods, and Tuples

Programming Language Essentials

  1. Learning Python
  2. SQL Essential Training
  3. JavaScript Essential Training
  4. Learning Java
  5. Learning C#
  6. Learning Go


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