Elith Inc. is pleased to announce the release of three new practical courses to support businesses and local governments in embedding the use of generative AI into their operations.
- "Introduction to generative AI operating patterns for frontline work"
- "Introduction to AI governance and regulation for local governments"
- "AI business creation and hypothesis validation course for new business staff"
Rather than simply teaching how to use generative AI tools, this series is a practice-oriented program that focuses on how to safely incorporate AI into actual operations and keep it running continuously.
In recent years, as the use of generative AI has rapidly advanced, businesses and local governments have faced the following challenges.
- Not knowing how to apply it to frontline work
- Getting stuck at the PoC stage without adoption taking hold
- Concerns about information leaks and governance
- Unclear rules and division of responsibility for AI use
- Not knowing how to pursue new business creation using AI
Drawing on the expertise Elith has cultivated through AI implementation support in manufacturing, finance, healthcare, the public sector, and other fields, we designed these courses around the theme of “generative AI use that can actually be operated in the field.”
For manufacturing: "Introduction to generative AI operating patterns for frontline work"
This course is aimed at frontline leaders, production engineering, quality assurance, maintenance, and DX promotion staff at manufacturing sites, and teaches the mindset and practical steps for safely incorporating generative AI into frontline operations.
Rather than treating generative AI as merely a convenient tool, the course emphasizes applying it to concrete tasks at manufacturing sites, such as daily reports, inspection sheets, work standards, quality reports, maintenance records, and the transfer of expert knowledge.
Course highlights
- Organize the meaning and scope of using generative AI at manufacturing sites
- Learn how to apply it to daily reports, inspection sheets, procedure manuals, and defect reports
- Cover interviewing for expert knowledge, turning it into training materials, and rolling it out into on-site education
- Organize the division of responsibility related to confidential information, safety, and quality
- Create a draft AI operating pattern that your own department can use
Course overview
| Item | Details |
|---|---|
| Course name | Introduction to generative AI operating patterns for frontline work |
| Audience | Manufacturing frontline leaders, production engineering, quality assurance, maintenance, DX promotion staff |
| Format | Online video course, corporate training |
For local governments: "Introduction to AI governance and regulation"
This course is aimed at local government staff, information policy departments, DX promotion departments, personal information protection and legal staff, and procurement staff, and teaches the practical perspectives local governments need to safely use and procure generative AI.
Local governments handle information that requires careful treatment, such as resident information, consultation records, and application documents. This course covers not only how to use generative AI, but also personal information protection, accountability, items to check during procurement, and the development of in-house rules.
Course highlights
- Organize typical patterns of generative AI use in local governments
- Learn the key points of the AI Act, AI business operator guidelines, and generative AI guidelines for public administration
- Organize the handling of personal information, sensitive information, and consultation records
- Learn what to check when procuring generative AI services
- Create a draft AI usage rules and checksheet for your own organization
Course overview
| Item | Details |
|---|---|
| Course name | Introduction to AI governance and regulation for local governments |
| Audience | Local government staff, information policy, DX promotion, personal information protection, legal, procurement staff |
| Format | Online video course, corporate training |
For new business staff: "AI business creation and hypothesis validation course"
This course is aimed at new business development staff, business planning staff, DX promotion staff, product managers, and participants in in-house entrepreneurship programs, and teaches the process of creating and validating business hypotheses using generative AI.
Generative AI can be used for idea generation, market exploration, hypothesizing customer problems, organizing competitors, designing interviews, and creating PoC plans. At the same time, AI output does not guarantee that a business is correct.
This course covers the practical process of using AI to rapidly build hypotheses and validate them with customers and the market.
Course highlights
- Organize the new business development process for the AI era
- Learn to hypothesize market exploration, customer segments, and customer problems
- Organize value hypotheses, competitor and alternative analysis, and the case for using AI
- Cover designing customer interviews and organizing validation results
- Create a business hypothesis canvas and PoC plan
Course overview
| Item | Details |
|---|---|
| Course name | AI business creation and hypothesis validation course for new business staff |
| Audience | New business development, business planning, DX promotion, product managers, in-house entrepreneurship program participants |
| Format | Online video course, corporate training |
Future plans
Elith will continue to expand its practical courses by industry and job function, to help move generative AI from the "trial stage" to the "stage of safely operating it in the field."
In addition to providing courses, we will also offer comprehensive support covering generative AI adoption support, AI governance development, AI quality evaluation, in-house training, and operational design.
Contact
Elith Inc., AI Education Division
- Email: edu-sales@elith.ai
- Web: https://www.elith.ai/contact
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