AI-supported learning
Guided lessons and practice at times that work for you.
The flagship program
The FutureTech Program.
A fully remote, seven-week journey for women worldwide, of any age, to build real skills for specialised tech careers.
Program breakdown
- Commitment
- 7 weeks
- Weekly load
- About 10 hours a week
- Format
- Fully remote
- Schedule
- Flexible study times
- Eligibility
- Women worldwide, any age
- Open cohort
- Cohort 2
- Applications close
- Friday, 23 October 2026
- Start date
- To be announced
Real-world projects
Build a portfolio that translates to global job markets.
Workplace simulations
Realistic tasks and practical deliverables, like an actual job.
Community
A lifetime network of women in tech worldwide.
Specialised curriculum
Choose your path.
Pick the specialisation that fits your long-term goals. Every track includes practical projects and AI-supported learning.
AI & ML7 weeks · beginner friendly
Artificial Intelligence & Machine Learning
Master the foundations of AI and build intelligent applications that solve real-world problems.
You'll practice
- Python and data basics
- Cleaning messy real-world data
- Training and evaluating a simple model
- Explaining results to non-technical people
Application scenario
A shop wants to predict late deliveries, but some spreadsheet entries are missing delivery dates. What would you want to understand before building a prediction?
You answer this in your own words. No jargon needed.
Apply for AI & ML You build: A small prediction project on a dataset you care about.
Week by week
The seven-week rhythm.
You start building in week one. Six weeks of learning and hands-on work, then one week to polish and showcase. Exact dates are shared before you accept a place.
- W1
Week 1
Start building
Pick your track, set up your tools and ship your first practical task in the same week.
- W2
Week 2
Hands-on foundations
Guided lessons paired with labs. AI-supported feedback on every task.
- W3
Week 3
Real problems
Messy data, live systems, actual threats. Work that looks like the job.
- W4
Week 4
Capstone kick-off
Start your own project, scoped like real work, with mentor input.
- W5
Week 5
Build deeper
Keep learning while the project grows. Weekly mentor check-ins.
- W6
Week 6
Workplace simulation
A workplace-style task alongside your project, the way a team would run it.
- W7
Week 7
Polish & showcase
Finish, document and present your project to the community.
What you need
- About 10 hours each week, at times that work for you
- A laptop or desktop for labs (tell us if access is a challenge)
- Curiosity. Beginners are welcome
- Honest answers in the application; polish is optional