AI fundamentals
Capabilities, limitations, hallucinations, data handling, and responsible use.
Basic Package · 12 hours · ¥400,000
Build a shared, responsible way to use generative AI.
Across twelve hours, participants learn the fundamentals, practice on role-relevant work, and develop clear rules for data, review, approval, and tool use.
Curriculum
Four modules from understanding to operation.
Practical methods
Prompt structure, source use, comparison, drafting, and quality review.
Workflow practice
Apply AI to selected tasks while preserving human checkpoints.
Internal operation
Clarify approved tools, prohibited inputs, escalation, and next experiments.
Included
Training plus operating materials.
12 hours of facilitation
Schedule and delivery format are agreed around participant needs.
Company-relevant exercises
Examples are adapted to the agreed roles and workflows.
Internal-use guidance
A starting point for permitted tools, data, review, and approval.
Training-side documentation
Curriculum, training hours, and cost information for the customer’s own subsidy process.
Japan subsidy note
Eligibility and payment are determined by the authorities.
Scope boundary: Arqen provides training and training-side materials. We do not act as the applicant, complete the application procedure, or guarantee eligibility, rates, or payment. Your company or qualified labor and social security attorney must handle the application.
Program details, subsidy rates, and requirements may change. Check the current guidance at the time of application.
FAQ
Package questions
Does 12 hours guarantee adoption?
No. Adoption depends on management support, workflow fit, access to approved tools, participant practice, and continued operating habits.
Can the curriculum be customized?
Yes, within the agreed scope. We first confirm roles, workflows, tools, and data restrictions.
What happens after training?
You can stop with the training, run an internal pilot, or consider the Implementation Support Package for two bounded workflows.
Plan a curriculum around real roles and workflows.
We will confirm participants, objectives, constraints, delivery language, and the evidence you want at the end.