SAFe® for Teams

Work as a team on the Agile Release Train: a shared language, planning, delivery, and a responsible use of AI.

SAFe® Practitioner 2 days Live online
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SAFe Practitioner

The training

SAFe for Teams is for team members and expert contributors in an organization that practices SAFe. You see how your role contributes to the ART, plan and deliver iterations and the PI, and improve the train together. Responsible AI belongs in the daily work: plan and deliver faster without giving up judgment.

Level: foundational, including people new to SAFe. Exam: 90 minutes, 45 questions, 76% to pass. Two days live online.

Licensed by Scaled Agile, Inc. After the class: access to the SAFe® Practitioner exam, a digital badge, and SAFe Studio.

Who it is for

  • Agile team members
  • Team managers bringing a team up to a shared level
  • Software developers
  • Project managers turning oversight into facilitation

On this course you

  • name your role on the ART and synchronize with other teams
  • plan and execute iterations and the PI
  • read flow metrics and reduce silos
  • use AI in SAFe events and keep accountability
  • improve the ART continuously

What you get

SAFe® Practitioner exam

90 minutes, 45 questions, 76% to pass. Attendance does not guarantee a pass.

Digital badge and SAFe Studio

A shareable badge, SAFe CoPilot, and PI Planning toolkits.

Facilitation tools

Facilitation tools and PDF files with the results of the exercises.

Post-pack

An email with extra materials and a reading list for self-study.

16 hours of training

Two days live online. We fix the theory in groups of 4–6.

Program

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01

Introducing SAFe

The foundations of SAFe for a team member, and how AI enters that work.

  • The Team and Technical Agility discipline
  • SAFe foundations
  • AI-Empowered SAFe
02

Agile teams on an ART

How a team is built, and how it works inside the delivery train.

  • Characteristics of an Agile team
  • Operating as an Agile team
  • Scrum and Kanban
  • Operating on an ART
03

Connecting to the customer

The customer at the center: product vision, the shape of the work, and prompts that help describe it.

  • Customer-centric mindset
  • Product vision and roadmap
  • What a story and a feature contain
  • Team backlogs
  • Crafting AI prompts
04

Planning the work

How a team plans in cadence with the other teams.

  • Taking part in PI Planning
  • Team planning
  • Refining the backlog
05

Delivering value

How value reaches the user, and where responsible AI sits in that work.

  • Continuous Delivery Pipeline
  • Sync events
  • Built-in quality
  • Responsible AI
06

Getting feedback

How the team shows the result and collects a response.

  • Feedback techniques
  • Team demo and system demo
07

Improving relentlessly

Reviewing the iteration, flow, and how the team grows.

  • Reviewing the iterations
  • Accelerating flow
  • Measure and Grow
08

AI in the practitioner role

AI speeds up daily work. Judgment stays with a person.

  • A personal plan for bringing AI into the work
  • SAFe CoPilot: stories, team data, and technical documentation
  • Preparing PI Planning and running the iteration
  • Check AI output against Lean-Agile principles: a person stays in the decision