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Hiring outcomes
Outcomes will be published as the cohort progresses.
Cohort 01 · Live impact story
Building careers,
one session at a time.
A live, transparent account of an AI engineering program built around practice, teamwork, public contribution, and employability—not attendance alone.
36-session route
The road ahead
0% complete
SESSION 01
Journey begins
SESSION 18
Halfway mark
SESSION 25
Final stretch
SESSION 36
Demo Day
What we will measure
Progress you can point to.
Outcomes will be published as the cohort progresses — no figures are claimed before they are verified.
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Open-source contributions
Outcomes will be published as the cohort progresses.
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Delivery teams
Outcomes will be published as the cohort progresses.
100%
AI-powered challenges
Every challenge uses AI for evaluation, feedback, or simulation.
Derived momentum
What the numbers already tell us
Calculated from the verified figures above. No survey estimates or projected outcomes are included.
0%
Program delivered
0 of 36 sessions complete
36
Sessions still ahead
Time for projects, practice, and career outcomes
2×
Learning cadence
Two instructor-led sessions every week
8
Challenge sessions
AI-reviewed challenges across the program
A model NGOs can replicate
From learning to visible opportunity.
The course connects technical instruction to public evidence of ability. This makes progress easier for learners, funders, employers, and delivery partners to see.
01
Learn
Structured sessions build practical foundations across AI engineering, cloud, agents, RAG, MCP, and modern development workflows.
02
Practice
AI-powered simulations turn knowledge into decisions, architecture work, and evidence-based technical feedback.
03
Contribute
Participants work on public open-source projects, creating visible proof of collaboration and engineering ability.
04
Transition
Team delivery, public work, and interview-ready evidence connect learning to real employment opportunities.
Evidence framework
What we will measure next
These are future measurements, not current claims. Publishing them over time will create a stronger case for replication, funding, and partnership.
Attendance and retention rate
Projects shipped
AI evaluations completed
Certifications earned
Interviews secured
Pull requests merged
Mentor and volunteer hours
Employer and NGO partners
For NGOs and partners
Build the next opportunity pathway.
Use this cohort as a working model for skills development tied to public contribution, AI-supported assessment, teamwork, and employment outcomes.