Learn how to tap into the Power of AI for your business
Through our work with world leading companies HACARUS has experienced a wide range of AI development projects, especially in the medical and industrial fields. With the executive track we provide students with a crash course in AI. HACARUS’ experienced lecturers provide the knowledge necessary to guide AI development projects to success. Covering topics such as what is AI, the difference between machine learning and AI, what type of results to expect, the current trends – and how to proceed with AI initiatives.

Instructors
Takashi Someda
M.S of Statistics and Information Science from Kyoto University Graduate School of Informatics. Recognized as a thought-leader globally, and frequent keynote speaker at machine learning conferences in Japan and internationally – passionate about combining business logic with novel technology to solve customer issues.
Yasuhiro Imamura
Joined Hacarus in October 2019. B.A. from Nagoya University. Background as a systems engineer. Certified public accountant. 14 years+ at Deloitte with experience of financial statement/internal control audits, as well as management advisory services including IPO support for listed companies in a wide range of industries.
For Executive Management
The Executive Management course helps you understand how to incorporate AI into current and future strategies. The class covers topics such as, “What is AI”, “What type of data assets to we currently have” and “How to get started with a data science department”.
Content example
- Introduction to AI
- AI Trends
- Capabilities of AI
- AI Effects and Outcomes
- Case Study Examples
Program Structure
2 Hour Lecture
Location
Kyoto / Osaka / Tokyo / Online
Typical Student Profile
Executive Management, Directors and Manager
For pricing, availability and dates, contact us using the button below
For Business Development
The Business Development course helps you understand how to get started with AI projects from a business point of view, what can be done with your data assets, how to balance expectations and ensure successful outcomes, as well as how to deal with AI vendors.
Content example
- Introduction to AI
- AI Trends
- Capabilities of AI
- AI Effects and Outcomes
- Obstacles and hurdles to be aware of
- Succesful Managment of AI projects
- Case Study Examples
Program Structure
1 Full Lecture Day
Location
Kyoto / Osaka / Tokyo / Online
Typical Student Profile
Business Development, Strategy and New Market focused departments
For pricing, availability and dates, contact us using the button below