- Python Software Foundation
- Free
- Beginner
The Python Tutorial
The official Python tutorial: the language from first steps to modules and classes.
Open course : The Python Tutorial. Opens the provider site in a new tab
Students / Beginner
From zero to your first data and AI project
Learn Python, practise on a free Databricks workspace, understand machine learning and language models, and finish with a project you can show.
Who it is for
Students and career starters with no experience in data or AI.
- Steps
- 7
- Level
- Beginner
What you can do afterwards
- Write Python and SQL for simple data work
- Explain how a model learns and how a language model is used
- Finish a small project and write about it
Start here
Take the NexOps course
Databricks data engineering foundations. From the lakehouse to governed pipelines you deploy as code
This path begins with our own course, with lessons, knowledge checks and labs. The external courses below are extra practice.
Extra practice
Course
Course
- Databricks
- Free with an account
- Beginner
Databricks Free Edition
A free Databricks workspace for learning: practise every Databricks step in this academy on it.
Open : Databricks Free Edition. Opens the provider site in a new tab
Course
- Free
- Beginner
Machine Learning Crash Course
A compact ML foundation with videos, visualisations and exercises, refreshed for recent AI advances.
Open course : Machine Learning Crash Course. Opens the provider site in a new tab
Course
- Hugging Face
- Free
- Intermediate
The LLM Course
Deep, hands-on foundation for open models: transformers, the Hub, fine-tuning and reasoning models.
Open course : The LLM Course. Opens the provider site in a new tab
Build
Your first data and AI project
Goal. Answer one question with a public dataset, from raw file to a chart and one prediction.
What to do
- Choose a question you care about and a public dataset that can answer it.
- Load the data into a table on Databricks Free Edition and clean it with SQL.
- Chart the answer, then train one simple model on it and say how wrong it is.
- Use a language model to summarise your finding in two sentences, and check it against your numbers.
What good looks like. A stranger can read your notebook, follow every step and reach the same chart.
Build
Write it up and share it
Goal. Turn the project into a one-page write-up that shows how you think.
What to do
- State the question, the data and the answer in three sentences.
- Add the chart, what you tried that did not work and what you would do next.
- Publish it where you keep your portfolio and ask one person for feedback.
What good looks like. It reads clearly in two minutes and names the limits of your result.
Read
Posts to read
See what happens when a notebook project grows up: the same idea, built the way a team builds it.
Course details come from each provider. Check the provider page for the latest.
Next path
- Engineers
- Intermediate
Databricks data engineering
From the platform basics to pipelines you deploy as code: medallion layers, bundles, CI/CD and Terraform, finished with the Data Engineer exams.
View the pathLearn this with your team
We run workshops for company teams and for students, tailored to your stack.
Learn this with your team
Next step
Want your team to learn this together?
We give workshops to company teams and students, on-site or online. Tell us who the participants are and what they should be able to do afterwards.
Accepting projects for Q4 2026