Career-outcome paths
Paths, not playlists.
A learning path is a sequenced set of mentor-led cohorts, portfolio projects, and career coaching — built to end in a specific role, not a certificate.
AI Engineer Path
Ship GenAI products people actually use.
- Outcome
- Production AI Engineer
- Duration
- 4–6 months
- Milestones
- Foundations → GenAI Engineering → Ship to production
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Cloud Architect Path
Design cloud systems like the top 1% of architects.
- Outcome
- Principal / Lead Cloud Architect
- Duration
- 5–7 months
- Milestones
- GCP or Azure foundations → AWS architecture at scale → Security
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SRE / DevOps Path
Run production like Google, Netflix, and the best fintechs.
- Outcome
- Senior SRE / Platform Engineer
- Duration
- 4–6 months
- Milestones
- Container orchestration → Infrastructure as Code → Reliability
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Data Engineer Path
Build the data platforms every AI product now depends on.
- Outcome
- Senior Data Engineer
- Duration
- 4–5 months
- Milestones
- Foundations → Big data → Modern warehouse
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