Mentor code reads
We annotate your branches the same week you present them—no anonymous “looks good” stamps.
Cohort signal
“MLOps Delivery Track’s canary notebook is now attached to every inference change ticket. The rollback timeline exercise felt like real on-call without the pager trauma.”
— Helena, SRE · Adtech
2019
First Seoul lab
612
Lab repos shipped
18
Mentor roster
37%
Alumni reporting new deploy ownership
6
Cities hosting hybrid intensives
Inclusions you can audit
Every Cognidev track pairs live critique with written artifacts your security team can file away—runbooks, eval cards, and deployment diffs instead of slide-only promises.
Deployment desk hours
Office hours dedicated to rollback rehearsals, not feature ideation.
Evaluation sets you keep
Offline eval packs ship with version tags so you can replay them when models change.
The flow from intake to deploy
Five checkpoints keep teams from skipping the boring parts.
- 01 Diagnose the decision surface your model actually owns
- 02 Freeze data contracts before GPUs spin up
- 03 Ship shadow metrics beside user-visible outputs
- 04 Run rollback drills with pager owners in the room
- 05 Archive a candid postmortem even on green launches
Programs open for inquiry
Full catalog →
Applied Machine Learning
Neural Studio Foundations
Tensor graph literacy, tensorboard tracing, and reproducible notebooks for engineers entering applied deep learning.
View syllabus layout →
Data Pipelines
Streaming Data Mesh Lab
Backpressure-aware ingestion, schema contracts, and incremental feature stores for teams shipping near-real-time ML features.
View syllabus layout →
Applied Machine Learning
GPU Bench & Kernel Hygiene
Profiling CUDA-adjacent workloads without writing custom kernels—learn to read nsys traces and argue for hardware changes.
View syllabus layout →From our cohorts
Mixed formats on purpose—some names withheld for employer policies.
“MLOps Delivery Track’s canary notebook is now attached to every inference change ticket. The rollback timeline exercise felt like real on-call without the pager trauma.”
Helena · SRE · Adtech
“Neural Studio Foundations graph sanity drills caught a silent broadcasting bug we had masked for months.”
Leo · Busan
“LLM Integration Studio JSON-first tool contracts stopped our frontend from guessing response shapes.”
Chris · DevTools startup
“Client in insurtech — Model Evaluation Clinic rubrics made our risk committee ask better questions, not faster approvals.”
Client in insurtech
“Vector Retrieval Production Patterns gave us a canary lane recipe we reused for two quarterly index bumps.”
Theo · Search engineer · Marketplace
“Prompt Architecture Workshop reviewer shifts legal did not dread.”
Kim
Office-hour snippets
Do you fine-tune foundation models?
Some tracks touch adapters; we are explicit when fine-tuning is out of scope so budgets stay honest.
Is travel required?
Hybrid labs list venue weeks on each syllabus. If you cannot travel, we map you to online-only cohorts when seats exist.
What is not included?
We do not broker hiring guarantees or vendor discounts. Career coaches focus on narrative, not headhunter introductions.
Quarterly syllabus drops land in your inbox first
No countdown widgets—just annotated outlines when we open new seats. Unsubscribe anytime; marketing honors the choice stored with your email provider.