Use agentic AI to reduce Agile administration and improve project delivery.

This 1-day hands-on course helps Scrum Masters and Agile project managers apply agentic AI and prompt engineering to everyday tasks such as reporting, risk management, backlog refinement, planning, stakeholder communication, and Agile events.

  • Why get trained: Learn practical prompt patterns, design simple AI agents and workflows, apply AI across the delivery cycle, and create team AI working agreements and adoption plans.
  • Why it matters: AI can reduce administrative workload, improve decision-making, streamline workflows, and give Agile teams more time to focus on delivery and value.
  • Who should attend: Scrum Masters, Agile Project and Delivery Managers, Product Owners, Agile Coaches, Release Train Engineers, Engineering and Tech Leads, and Program Managers.

Gain practical, reusable AI workflows without coding and accelerate Agile project delivery. HRD Corp Claimable.

Overview

This one-day course teaches Scrum Masters and Agile project managers to put agentic AI and prompt engineering to work on the parts of the job that eat the week, charters, status reports, risk registers, backlog cleanup, and planning. The aim is plain: less time on admin, sharper decisions, and more room for the work that actually needs you.

You’ll work across the full delivery cycle—Agile events, stakeholder communication, planning, and risk—and learn where AI is reliable, where it quietly gets things wrong, and how to tell the two apart. Every part of the day is hands-on. You leave with prompts you can reuse, a few working AI workflows, and a clear adoption plan for your own team.

The course is tool-agnostic and built around the problems Agile teams actually run into, designed by a practitioner with 26 years in IT and delivery. No coding, at any point.

Skills Covered

  • Tell agentic AI apart from everyday LLM use—and know what that shift means for how you run Scrum and projects.
  • Use prompt patterns (Role–Task–Format, few-shot, chain-of-thought) to get consistent, reusable outputs across your PM scenarios.
  • Design a simple multi-step agent—goal, prompts, success criteria, human checkpoints—for one task you repeat every sprint.
  • Wire an AI workflow across a few tools to produce stakeholder briefings, risk registers, or roadmaps.
  • Write an AI Working Agreement for your team, with guardrails, approval steps, and clear ethical lines.
  • Build a 30–60 day adoption plan: quick wins,  team training path, and the metrics to prove it worked.
  • Apply AI across the work that fills your calendar — initiation, communication, rolling-wave planning, backlog refinement, sprint planning, risk, retrospectives,and roadmapping

Prerequisites

None

Target Audience

  • Scrum Masters
  • Agile project and delivery managers
  • Product Owners who want AI help with backlog work
  • Agile Coaches and Release Train Engineers (SAFe®)
  • Engineering and tech leads
  • Program managers

Mixed experience is welcome. Some familiarity with Jira and Scrum helps, but no AI background is assumed — if you can write a Slack message, you can keep up.

Course Curriculum

Module 1: Agentic AI Fundamental

Three kinds of AI, and why the difference matters for your work. Traditional AI follows fixed rules. Generative AI writes content on demand. Agentic AI plans, uses tools, and acts on a goal. You’ll see each one in workflows you’d recognize—an impediment-triage agent, a sprint-metrics analyser, a risk forecaster, a stakeholder-update generator, with live demos in ChatGPT, Gemini, NotebookLM, Jira Rovo, and Mural.

Module 2: Prompt Engineering Mastery

A repeatable structure beats clever tricks. You’ll learn the Role–Task–Format pattern as your default, then add the moves that raise the ceiling: few-shot examples, step-by-step reasoning, chain-of-thought, expert role prompts, and tight constraints. Just as important, you’ll refine a weak prompt through feedback and learn to catch the failure modes—hallucinations, over-reliance, and data leakage—before they cost you.

Module 3: AI Across Scrum Events and Agile PM Workflows

This is where it meets your calendar. You’ll apply AI across the whole lifecycle—project charters and stakeholder plans, backlog refinement, rolling-wave and sprint planning, reviews, and retrospectives—plus risk management, roadmapping, and everyday communication. The point isn’t to automate your judgment; it’s to clear the routine work so you have more time for leadership and delivery.

Module 4: Tool Integration, Jira Rovo, NotebookLM, Mural

Three tools, three jobs, tried on real scenarios. Jira Rovo tracks sprint health as you go. NotebookLM turns a pile of notes into a stakeholder-ready brief. Mural clusters scattered ideas into themes you can act on. You’ll see exactly where each one saves time and sharpens a decision — and where it doesn’t.

Module 5: Ethics, Guardrails & AI Working Agreement

Power without guardrails is a liability. You’ll work through the real risks — over-automation, hallucinations, bias, privacy, and quiet over-reliance — then build an AI Working Agreement your team can actually live by: clear lines on transparency, data safety, and where human judgment stays in charge.

Module 6: Designing Agentic AI — Design Sprint

You’ll design a working agent for a real Scrum or project scenario. Define its goal, inputs, tools, workflow, and success metrics — and decide where a human stays in the loop. In a short, hands-on design sprint, you’ll produce a practical agent concept, pressure-test it for safety, and get it close to something you could pilot.

Module 7: Closing, Assessment & Next Steps

You’ll leave ready to use this, not just remember it. The day closes with your certification, the full resource kit — templates, prompt libraries, tool guides — and a concrete plan for your first month. You’ll also join the alumni community and share what you’ll change first.

Dates & Locations

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Exam & Certification

Finish the course and you’ll earn a certificate from Agilemania. More to the point, you’ll walk away able to:

  • Cut the hours that go to routine analysis, documentation, and reporting.
  • Make better planning, risk, and delivery calls using AI-assisted reads of real project data.
  • Brief stakeholders more clearly, with updates shaped for the audience in front of you.
  • Use AI safely, with guardrails that keep human judgment and accountability where they belong.

Training & Certification Guide

Why train with Trainocate

No. It’s hands-on and tool-driven from start to finish, built around real team workflows rather than academic AI concepts.

Design prompts that hold up, run AI-supported Scrum events, build simple AI workflows, write your team’s AI guardrails, and leave with a 30–60 day adoption plan.

Yes — a 50+ prompt library, an AI Working Agreement template, an agent design canvas, case studies, and a roadmap template.

Those teach you to write better prompts. This teaches you to run Scrum and PM work with agentic AI and actually adopt it on your team — the prompting is just the starting point.

A laptop with a stable connection and free accounts for ChatGPT, Gemini, NotebookLM, and Mural. We’ll send short pre-reading ahead of time. If you can, bring anonymised sprint or retro notes so the exercises map to your real work.

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