p-01
AI and Machine Learning
To train and test AI models.
View the programShorter paths
AI reskilling: start from the basics.
Reskilling means learning new skills for a new career. This path is for career changers and for graduates who have never written code. It starts with the first line of code. Then you join a full program.
New to AI? Start here
Four words you will hear a lot.
Pick a word to see what it means, in plain language.
fig. / machine learning is one part of AI, and generative AI is one part of machine learning. Data science overlaps with all three.
ai
Artificial intelligence
Computers doing work that normally needs human thinking, like understanding language or recognizing a photo.
- An everyday example
- A phone that opens when it sees your face.
- Learn it in
- All four programs
The path
Three stages.
- 01
Basics
Programming, the command line and the math you will use.
- 02
A first project
A small project, checked by a mentor, to prove your basics are strong.
- 03
A full program
You join AI and Machine Learning, Data Science or AI Engineering.
How should working professionals reskill in AI?
Start from what you already do well. If you write code, learn how AI models work and build one small app from start to finish. If you work with data, learn to test an idea and build a prediction model. In both cases, build something every week and have it checked. Reading alone does not change what you can do.
Where to start
Where the path leads.
p-02
Data Science
To find answers in data.
View the programp-03
AI Engineering
To build AI apps.
View the programWhat it takes
Time and format.
- Format
- Online and classroom
- Duration
- 1 to 6 months, depending on the program
- Start dates
- New batches start through the year. You get the next date when you apply.
Questions
Yes. Reskilling starts from the first line of code.
The one that fits the job you want. We help you choose during the basics stage.
New batches start through the year. Apply and we send you the next start date for your program.