Flagship program

Machine Learning Foundations Program in Japan

12-week cohort with portfolio capstone, mentor checkpoints, and career coaching — designed for Tokyo evening schedules.

Programs overview

Three phases: foundations (Python data + statistics refresh), modeling (supervised learning, evaluation, feature work), and delivery (capstone, documentation, career session). Each phase ends with a rubric-reviewed artifact.

Machine learning workflow diagram on instructor display

Curriculum roadmap

Week 1-2   Python data + stats refresh
Week 3-5   Supervised models + validation
Week 6-8   Features + model cards
Week 9-10  Deployment concepts (local)
Week 11-12 Capstone + career session

Instructor highlights

Dr. Yuki Tanaka

Supervised learning & capstone review

Hiro Sato

Onboarding & lab tooling

Emi Watanabe

Career narrative & interview prep

Career outcomes

Graduates leave with a documented capstone, model card, and interview stories tied to specific labs. We share completion averages internally; we do not publish income statistics or placement guarantees.

Portfolio README with limitations section
One mock technical conversation
Skills checklist mapped to course modules

FAQ

Who is this program for?

Working professionals and career changers with Python basics and time for 8–12 hours weekly.

Is certification a job guarantee?

What is excluded?

Admissions

Registration for the September 2025 intake closes 15 August 2025. Cohort size is capped at 22 for discussion quality.

Apply for next intake

Contact

Address: 183-1215, Shimomeguro, Meguro-ku, Tokyo, Japan

Phone: +8194-023-1561

Email: hello@view-network.digital