01
One module, one skill
Each module teaches one skill and ends with something you built.
Shorter paths
AI upskilling: add skills to your job.
Upskilling means adding new skills to the job you already have. These are short modules on the AI skills teams use now, taken beside your work.
What you get
How a module works.
02
Always current
Modules are added and removed as the tools change.
03
Checked work
A working engineer checks what you built and tells you what to fix.
Sample
Modules
Proposed topics: Python for data, SQL, building an AI app, checking model answers, and putting an app online. Topics are not confirmed offerings.
What is the difference between upskilling and reskilling?
Upskilling adds to the job you already have: a software engineer learns to build with AI, an analyst learns to run fair tests. Reskilling changes the job: someone from another field learns programming from the basics, then takes a full program. Upskilling is short. Reskilling is longer.
Where to start
When a module is not enough.
p-03
AI Engineering
To build and run full AI apps.
View the programp-01
AI and Machine Learning
To learn how AI models work inside.
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
New batches start through the year. Apply and we send you the next start date for your program.