Python 4 A.I.
Python for your first steps in AI
Learn the foundations of programming through exercises and projects. Python 4 AI was designed as a practical introduction for people who want to continue learning data science and artificial intelligence.
We have supported more than 30,000 AI fellows across our community programmes. If you are unsure where to begin, Python can be a useful first step.
Explore current courses | Read the archived programme
How the programme was organised
The archived edition had six modules and suggested around five hours of work each week over six weeks. This was a guide for planning your learning, not a guarantee that everyone would progress at the same pace.
Each module combined explanations, exercises with solutions and challenges to check understanding. The content covered Python foundations and data libraries such as Pandas and NumPy. The aim was to prepare a small project, without attempting to cover all of computer science.
Previous knowledge
No programming experience was required. Learners were expected to be comfortable with secondary-school mathematics and basic computer tasks such as opening files, using applications, copying and pasting.
If you already code in another language, the path can help you learn Python’s syntax and tools.
Learning together
The archived programme included videos, documentation, exercises, forums and feedback from mentors. It also described a Discord channel and support from an AI assistant. Ask the team which channels and resources are currently available.
Sharing questions, progress and projects helps maintain motivation and prepare for the next step: a more advanced course or a local AI Saturdays edition.
Access, pace and certificates
The original information suggested completing roughly one module a week and offered a certificate after passing the assessments. Access, support and certification conditions may vary; check the course details before enrolling.
To take part individually or explore training for an organisation, contact the team.
Frequently asked questions
Is it suitable for complete beginners?
It is designed as an introduction to Python for data and AI. Check the prerequisites of your chosen course and set aside time to practise.
How will I know I am learning?
Try the exercises, review the solutions and build a small project. Explaining your code and sharing your questions are part of learning, too.
Do I have to finish in six weeks?
Six weeks was the suggested pace for the archived programme. The time you need depends on your availability and experience; confirm the deadlines and conditions of the current option.
