Registered Gen AI Practitioner™ (RGAP)

Level Up with Generative AI in Just One Day

The Registered Gen AI Practitioner™ (RGAP) course gives you the practical skills to start using Generative AI more effectively in just one day. You’ll learn how to choose the right AI tools for the work at hand, get more reliable results, and apply AI to real business challenges.

This live, instructor-led course combines demonstrations, guided exercises, and direct experimentation with Generative AI. You’ll use the technology throughout the day to test techniques, compare approaches, and see how different choices affect the results you get.

You’ll leave with a stronger understanding of today’s Generative AI landscape, where the technology can create value, and how to use it responsibly, whether you’re improving your own workflow or helping your organization make informed decisions about AI adoption.
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1 day
Live, instructor-led
Online training
No coding experience required

Go Beyond Experimenting With AI

Access to AI tools is no longer the primary challenge. The greater opportunity is knowing which tools to use, how to get reliable results, and where AI can meaningfully improve the way work gets done.

RGAP develops the skills professionals need to evaluate AI models, design effective prompts, automate routine tasks, and recognize business use cases worth pursuing. You’ll also examine the limitations, risks, and ethical considerations that inform responsible AI use.
Woman participating in Generative AI training, working on a laptop in a collaborative office setting.

As a Scrum Inc. Registered Gen AI Practitioner, You’ll Be Prepared To:

Apply prompt engineering techniques to produce more useful, reliable, and relevant outputs
Compare leading AI models and select tools based on the task and business need
Build and deploy a basic custom GPT using techniques like prompt chaining, memory, and task orchestration
Recognize opportunities for automation and design more productive AI-enabled workflows
Understand how AI assistants, agents, and Retrieval-Augmented Generation (RAG) can expand the capabilities of Generative AI
Assess the limitations, risks, and ethical considerations associated with Generative AI
Lead more informed conversations and experiments around responsible AI adoption in your organization
*No previous AI, coding, or technical experience is required.

Develop AI Skills for the Way You Work

RGAP is designed for organizations that want people to move beyond ad hoc experimentation and develop a more intentional approach to using Generative AI.

It is equally relevant for leaders evaluating where AI can create business value and professionals looking to improve their workflows, productivity, and decision-making.

Who is this course for?

  • Business leaders and managers looking to implement AI solutions, guide adoption, and identify opportunities for measurable ROI
  • Knowledge workers and professionals who want to automate routine tasks, improve productivity, and integrate AI into their everyday workflows
  • Innovation and digital transformation teams responsible for evaluating emerging technologies and designing for future-ready capabilities
  • Leaders responsible for improving performance across teams, departments, or business units
  • Professionals without a technical background who want a practical, business-focused approach to Generative AI without learning to code
    No previous AI, coding, or technical experience is required.

    Course Format

    Learn Generative AI by Using It

    You won’t spend the day simply hearing about Generative AI. Live demonstrations and guided exercises give you the opportunity to experiment with different models, practice prompt engineering, and see how AI responds to different instructions and context.

    1 day
    Live, instructor-led
    Online training
    Professional working with a generative AI tool on a laptop while attending a live virtual training session.

    More Than a Course

    Build Scrum capability that continues to deliver value after the course ends.

    Learn From the Source

    Get Scrum training endorsed by Dr. Jeff Sutherland, co-creator of Scrum, and led by instructors around the globe who teach from real-world experience building and coaching high-performing Scrum teams.

    Build Capability Across Your Organization

    Help your teams accelerate the work they do every day with Scrum. Private training connects what you learn in class to your organization’s specific goals and challenges, helping you put Scrum into practice where it matters most.

    Explore Private Training →

    Earn Your Credential and Keep Building

    Demonstrate your practical Scrum knowledge by completing the course and passing the exam to earn your Registered Gen AI Practitioner™ credential and digital badge. Continue developing after class with updated learning materials, access to our annual webinar and recording, and eligibility for the International Registry of Agile Professionals™.

    What Our Students Say

    "I am a complete novice but after this course I have had a mental shift towards AI (apart from the day to day usage of AI for templates, research etc.) We learned about AI Agents and how they can be utilized in our day to day life. It's a whole new world out there and with so much to learn. I am really excited to apply the learnings from the course to the real world."
    Key Account Manager, Parcelly Ltd
    "The workshops were well facilitated and required active engagement, which I really appreciated, as they stretched me outside of my comfort zone in a positive way. I learned something new and now feel I can capitalize on this knowledge, build on it, and continue to evolve."
    Business Analyst, IBM

    Need a Private Training?

    Custom trainings for one team to the whole organization.
    We offer customized trainings for multiple teams, leaders, departments, or your full organization. Private sessions are designed around your roles, industry, and goals.

    Frequently Asked Questions

    Build AI Capability That Translates Into Real Work

    Give leaders and teams the practical skills to evaluate AI, apply it to meaningful business challenges, and use it more effectively and responsibly across the organization.