AI & Machine Learning
Intelligence Run
A guided learning journey with a clear weekly rhythm, practical milestones and a conductor keeping the cohort moving together.
Boards
16 November 2026
Departure
10:00 am WAT
Conductor
Chidi Nwosu
Path
AI & Machine Learning
Cohort size
35 riders
Destination
Junior ML Practitioner
Featured cohort success
Intelligence Run signature project
Riders will turn their AI & Machine Learning learning into a practical team project, collecting decisions, feedback and measurable evidence for a portfolio-ready case study.
10
Riders involved
3
Gated stages
1
Portfolio case study
Trip highlights
What riders experience together
Practical builds
Riders apply Python, Data preparation, Machine learning through guided tasks and portfolio work.
Live feedback
Weekly clinics with Chidi Nwosu turn blockers into clear next steps.
Mastery checks
Every stage includes a practical gated assessment and mentor review before riders continue.
Peer learning
10 riders share progress, review work and solve problems as a cohort.
Journey so far
What learners are doing now
Riders are completing onboarding, setting up their tools and meeting their learning crew before Python and data begins.
Stage 1
Python and data
Coming next: Build the core concepts through guided lessons and short exercises.
Stage 2
Machine learning models
Coming next: Apply your skills in practical labs with peer feedback.
Final stage
Responsible AI capstone
Coming next: Bring everything together in a portfolio-ready capstone.
Weekly schedule
How the cohort travels
From the road
Gallery, updates and showcases
A window into working sessions and useful public references. Gallery images illustrate the intended cohort feed; external work is credited and is not presented as Tech Bus Stop learner work.