Tokyo · Since 2019
340+
Professionals trained in applied ML foundations across Japan
View Network delivers the Machine Learning Foundations Program with portfolio rubrics, mentor checkpoints, and schedules built for working learners.
View full programAverage satisfaction: 4.8/5 from post-cohort surveys · Trusted by product and analytics teams in Tokyo
Active course tracks
Staff across instruction and coaching
Completion among 2024 evening cohorts
Mentor clarity score
Corporate partners in Kanto
Inclusions
What the cohort experience includes
- Weekly mentor-reviewed labs with written rubrics
- Portfolio capstone with limitation disclosure template
- Bilingual-friendly materials and JP phone support
- Career coaching session before certificate issuance
Catalog
Featured courses
Machine Learning Foundations Program
Core program covering supervised learning, evaluation, and deployment-ready notebooks for Japan-based learners.
Python for Data Work
Foundational Python skills for cleaning, exploring, and visualizing datasets.
Statistics for Model Builders
Probability, inference, and experimental thinking for ML practitioners.
Feature Engineering Studio
Transform raw signals into stable features for tabular ML systems.
01 — Process
The flow from application to capstone
- Readiness check — self-assessment and optional refresher modules
- Cohort placement — evening or weekend track based on schedule
- Lab cycles — async work with 36-hour mentor SLA
- Live critiques — design and code review sessions
- Portfolio lock — README, metrics, and limitations documented
From our cohorts
Participant notes
"Week-6 cross-validation lab — I still use that notebook template."
Clear material on tokenizers; mentor notes were specific.
"Contract tests module — adopted next sprint. No fluff."
FAQ