Programming Meta-Skills

About the course

This one-day badge focused on code, teaches you how to efficiently produce high-quality code, while working together with a team on a shared codebase. This training provides you with three competencies: 1. Writing code with a team, meaning you are able to share and version your code with Git. 2. Writing understandable and clean code that is properly structured and therefore easily understood by other developers. 3. Writing low maintenance code by implementing error handling, logging and unit tests.  

Why this is for you

With the impact of AI growing every day, projects and the role of AI within companies grows accordingly. To work efficiently in this changing environment, everyone who works with the data, AI models, or writes the engineering code for it, should be able to write code that preferably does not break and if it does, is easy to debug (by others) because the code is well structured and therefore easy to understand and furthermore versioned in Git. In this course, our field experts will teach you how to program efficiently, so that your code is maintainable, easily understandable by others and versioned with Git in such a way that new features can be easily added.  

For whom

This module is ideal for starting AI Engineers, Data Engineers and Data Scientists looking for hands-on experience to improve their programming skills. Participants must be familiar with the general terminology of programming to get the most out of this course. More specifically, participants should have some experience working with Python.  

What you’ll learn

1. Writing code with a team using version control and code reviews
2. Writing understandable and clean code by adhering to the industry standards
3. Writing low maintenance code that works in production

Learning Goals

• Writing code with a team – Learn how to efficiently work together using version control and code reviews in Git
• Writing understandable and clean code – Learn how to write you code so that is adheres to governing coding standards and is easily understood by others
• Writing low maintenance code – Learn how to write your code so that it “just works” and avoid pitfalls such as having no idea what your code is doing in production

Theory and practical use All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.