AI & Machine Learning
Build a grounded understanding of how machine learning systems are created and evaluated. You will train, test and present a model while considering responsible use.
What you will learn
Skills for the whole journey
Path curriculum
Your roadmap, stop by stop
Follow the stages in order. Each stop shows the learning window, what is covered and the milestone you should reach before moving forward.
Mastery journey
Intermediate entry → Professional ready
This path builds job readiness. Expert or professional mastery follows through sustained workplace delivery after graduation.
Schedule
Stage 1
Python and data
Build the core concepts through guided lessons and short exercises.
What is covered
- Core concepts
- Tooling setup
- Guided practice
- Includes Gated Assessment
Schedule
Stage 2
Machine learning models
Apply your skills in practical labs with peer feedback.
What is covered
- Hands-on labs
- Team challenge
- Mentor review
- Includes Gated Assessment
Schedule
Final stage
Responsible AI capstone
Bring everything together in a portfolio-ready capstone.
What is covered
- Capstone build
- Documentation
- Demo day
- Includes Gated Assessment
Final gate
After all stages
Final roadmap stop
Exit interview
Review portfolio evidence, demonstrate end-to-end understanding and agree the learner's career-readiness plan after every stage assessment is complete.
Weekly schedule
Built for real life
Learn flexibly during the week, then meet your squad for practice and feedback. All times are West Africa Time.
Monday
Anytime
Weekly module opens
Wednesday
6:30 pm WAT
ML lab
Saturday
10:00 am WAT
Mentor check-in & project review
Upcoming departures
Cohorts & bus schedules
Check the next boarding date and available seats for this path.