Do you want to learn Python?
Python gives you the tools to streamline your work, understand digitalization, and open up new career opportunities. Learn the fundamentals of Python and how to code safely with AI.
Python is one of the world's most widely used programming languages and is known for its simple syntax and wide application. Whether you work in data analysis, automation, or want to understand the technology behind artificial intelligence, Python is a useful tool.
Five reasons to learn Python
- Python streamlines your work and can save you hours and eventually weeks of work.
- You will gain an increased understanding of how computers work and will better understand and be able to take part in the ongoing digitalization.
- The code packages available in Python allow you as a beginner to test out technologies such as artificial intelligence and machine learning on your own.
- You will gain sought-after skills that make you attractive in the job market.
- The best part? Getting started with Python is easy! Take the first step and sign up for one of NITO's courses in Python.
We offer Python courses at different levels
Python for Beginners
Want to learn Python from scratch? The Python for Beginners online course provides an in-depth and easy-to-understand introduction to programming in Python, perfect for beginners. You have eternal access to the course that gives you the opportunity to repeat and update the knowledge when you need it, whether it is months or years later.
Secure AI use in Python coding and development
Secure AI in Python coding and development is a physical two-day course where you learn how to use AI as development support in a controlled and secure way. The course combines Python coding with secure development practices, and gives you concrete methods for verifying and quality assuring AI-generated code before it is used.
You will gain insight into typical security challenges in AI-assisted development, and learn a practical workflow from prompt to finished code. Through examples, exercises, and tools, you'll learn how to test, control, and improve your code, so you can work more efficiently—without losing control or compromising security.