Registered Gen AI Practitioner® Training (RGAP) is the official one-day course for becoming a responsible AI practitioner. Less about operating tools, more about embedding AI into your work and leading your team through the shift.
From "someone who tries AI" to "someone who delivers results with AI and scales it across the organization." Cross that line in a single day.
Upcoming classes
- 2026-07-02 9:00-17:00 JST (Online, English)
What this course is
This is a one-day immersive official course for professionals ready to harness AI to accelerate productivity, fuel innovation, and lead responsibly in an AI-driven world.
In a single day, you build five practical implementation skills: designing and deploying custom AIs, prompt engineering, integrating AI into real workflows, identifying and managing AI-related risks, and evaluating today's generative AI tools.
There are no prerequisites. This course is for anyone who wants to bring AI into their work, with or without a technical background.
This is for you if
- You have tried ChatGPT or Claude, but you cannot see how to fit them into your actual work
- You want to scale AI use across your team, but lack a shared language and approach
- You need a clear basis for comparing and choosing among AI tools
- You want to move forward responsibly, with eyes open to the risks
- You want to leave the day with implementation skills you can use the following week
Five implementation skills you build in one day
1. Designing and deploying custom AIs
How to design a custom AI built around a specific business task, and deploy it in a way your team can reuse.
2. Prompt engineering in practice
A structured approach to prompt design and iterative refinement, so the same model produces meaningfully better results.
3. Integrating AI into workflows
How to break down existing work, spot where AI removes friction, and weave it into real processes.
4. Identifying and managing AI risks
A working view of the issues you actually meet in production use: hallucinations, bias, privacy, and the handling of sensitive information.
5. Comparing and choosing tools
A practical basis for evaluating ChatGPT, Anthropic Claude, Google Gemini, Mistral, Perplexity, custom AI agents, and other leading tools, and matching them to the problem in front of you.
Course content
| Topic | Description |
|---|---|
| AI mindset and leadership | Moving forward through inspection and adaptation, with uncertainty as the baseline |
| Generative AI fundamentals | LLMs, tokens, context windows, RAG, at the level of detail you need for work |
| Prompt and context design | Patterns and practice for generating reproducible results |
| Tool comparison and evaluation | ChatGPT, Claude, Gemini, Mistral, Perplexity, custom agents |
| Building custom AIs | Hands-on design and deployment of an AI tied to your own work |
| Designing AI experiments | How to start small, inspect, and scale what works |
| Ethics and responsible AI use | Practical judgment on privacy, bias, limitations, and governance |
| Emerging technologies and outlook | Agents, MCP servers, and what comes next |
Session details
| Item | Detail |
|---|---|
| Format | In person (Japan) or online |
| Duration | One day (8 hours, with lunch and short breaks) |
| Price | JPY 80,000 per participant (excluding tax) |
| Language | Japanese / English |
| Prerequisites | None |
| Audience | Product managers, Scrum Masters, engineering leads, HR and L&D, transformation leads, executives, and anyone driving AI adoption |
| Capacity | Public course: 8–20 / Private corporate session: scaled to your team |
| Certification | Participants earn the Registered Gen AI Practitioner™ credential |
What you can do after the course
- Design and deploy a custom AI tied to your own work
- Apply a reproducible pattern for prompt and context design
- Decide where AI belongs in your existing workflows
- Identify AI-related risks and explain them to your team
- Understand the strengths and limits of the major tools, and choose accordingly
- Lead AI experiments inside your organization and contribute to adoption decisions
- Hold the Registered Gen AI Practitioner™ credential
Why take the course with yamaneco
Bicultural delivery We bridge Japanese business context and current global practice. Whether you work with a global HQ or sit firmly inside the Japanese market, we adapt to the room.
Agile × AI as one practice We are an agile coaching, organizational development, and facilitation firm at our core. AI in our hands is not "tool adoption," it is the evolution of how work gets done.
Taught by working practitioners Your facilitators use Claude, ChatGPT, agents, and automation platforms every day in their own work. What you receive is what we have actually shipped, not slideware.
Two ways to attend
Public course (individual participation)
Open enrollment for our regularly scheduled public sessions. Joining alongside participants from other companies and industries gives you a useful outside view on your own context.
→ Upcoming sessions
Private corporate session
We deliver customized in-house sessions for your team. Based on a pre-session discovery conversation, we shape the exercises around your use cases and existing tooling.
Frequently asked questions
Do I need a technical background?
No. The course is designed for a broad audience including engineers, managers, HR, marketing, and executives. Technical terms are introduced at a level everyone can absorb.
Are there any prerequisites?
None. From AI beginners to people already comfortable with the tools, each participant moves one level up from where they start.
Can you deliver this in Japanese?
Yes. We deliver in Japanese or English. We have a track record of both Japanese and English language delivery for global teams and foreign-affiliated companies in Japan.
What can I do with the Registered Gen AI Practitioner™ credential?
It is an official credential issued by Scrum Inc. You can use it as evidence of completion internally, on your LinkedIn profile, and in your professional portfolio.
What is the minimum size for a private corporate session?
We start from a minimum of eight participants. Around twenty is the most effective size for learning, and we accommodate larger groups as well.
What should I bring on the day?
A laptop and an account on whichever AI tool you currently use (ChatGPT, Claude, Gemini, or Copilot).
Can this be combined with AI adoption and implementation support?
Yes. Combined with our AI practitioner coaching engagements, this training becomes the starting point for redesigning more complex work and improving it effectively with AI.
Contact us about this training
Become an AI practitioner in a single day
Custom AI design, tool comparison, responsible use. Walk out with the implementation skills to lead your team from the next day forward.