Announced details
IT training for new hires, IT talent development, systems development, generative AI adoption, company-wide reskilling
Increase in practical training hours of up to 30% versus the previous level
アスリーブレインズ has 20 years of experience in IT training. Course enrollment record: Not disclosed.
アスリーブレインズ株式会社 is a consolidated subsidiary of the Company and provides IT and business training. It has been part of the ディ・アイ・システム Group since 2013.
アスリーブレインズ Head Office: 2F Nakano Central Park East, 4-10-1 Nakano, Nakano-ku, Tokyo 164-0001, Japan
¥1,080,000 per person (excluding tax). The effective cost after subsidies is from ¥216,000 per person (excluding tax).
The company does not address Contract Value / Impact on Business Performance.
| Item | Details |
|---|---|
| Names of Products / Services Covered | “AI-Driven Development Course” IT training program for new hires, AI education platform “ピジェトレ” |
| Relationship with the Company | アスリーブレインズ株式会社 is a consolidated subsidiary of the Company and provides IT and business training. It has been part of the ディ・アイ・システム Group since 2013. |
| Offering price | ¥1,080,000 per person (excluding tax). The effective cost after subsidies is from ¥216,000 per person (excluding tax). |
| Launch date | 27 October 2026 (actual launch date) |
| Applicable area | IT training for new hires, IT talent development, systems development, generative AI adoption, company-wide reskilling |
| Location | アスリーブレインズ Head Office: 2F Nakano Central Park East, 4-10-1 Nakano, Nakano-ku, Tokyo 164-0001, Japan |
| Quantitative Effects | Increase in practical training hours of up to 30% versus the previous level |
| Usage history | アスリーブレインズ has 20 years of experience in IT training. Course enrollment record: Not disclosed. |
Items this document does not state (10)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.As the use of generative AI expands, there is a growing need for the ability to identify bugs and security risks in AI-generated code, as well as the ability to think logically without relying on AI.