Course
digicode: AINAAR
Launching AI-Native ARTs
Course facts
Download as PDF- Assessing your ART’s AI readiness and identifying specific areas for action
- Applying the twelve success factors of AI-Native SAFe to your own context
- Further developing roles and collaboration for an AI-Native ART
- Aligning planning and progress tracking with measurable customer and business outcomes
- Taking governance requirements and ethical guidelines into account when deploying AI
- Developing a launch or relaunch plan with prioritized actions and clear responsibilities
1 AI-Native SAFe
- The Four Lean-Agile Transformations and Twelve Success Factors
- The Interplay Between AI, Teams, and the Organization
- AI-Native ART Launch Readiness Assessment to Assess Current Status
2 Focus on Measurable Results
- Customer and business outcomes as a guide for product development
- OKRs as the link between the portfolio, ART, and teams
- Data quality and ongoing AI costs
3 Collaboration and Roles
- Characteristics of AI-Native ARTs and AI-Supported Teams
- Role and Responsibilities of the AI Value Architect
- Changes for RTEs, Product Management, and Other ART Roles
4 Learning and Experimentation
- Outcome-Driven Product Vision and Roadmap
- PI Outcome Planning and Shared Goals
- Sense and Respond: Insights, Decisions, and Adjustments
5 Scaling Development and Innovation
- Intent, Specifications, and Context as a Foundation for Humans and AI Agents
- AI Innovation Pipeline
- Governance, Risks, and Ethics in Collaboration
6 Launch or Relaunch Plan
- Specific actions based on the assessment results
- Responsibilities and order of implementation
- Next steps and communication within our own ART
The course covers the official AI-Native curriculum.
This course combines the fundamentals of AI-Native SAFe with practical application to your existing or planned Agile Release Train (ART). Using a structured assessment, you’ll evaluate your current situation and identify the most important areas for action.
Building on this, you’ll develop a concrete launch or relaunch plan during the workshop, complete with prioritized actions, clear responsibilities, and next steps. Your own questions and challenges from your ART will help ensure a direct transfer of knowledge into your practice.
In addition, the course specifically prepares you for the certification exam with sample questions, exam-style exercises, and a mock exam.
Even after the course, we’ll continue to support you with any open questions until you successfully earn your certification.
«Launching AI-Native ARTs» is designed for Release Train Engineers (RTEs), SAFe Practice Consultants (SPCs), Product Managers, and executives who want to build a new AI-Native Agile Release Train (ART) or further develop an existing ART.
The course is suitable for leaders who want to shape the use of AI beyond individual teams and, to that end, further develop roles, collaboration, and planning. The focus is on applying these concepts to your own ART: from assessing the current state to identifying key areas for action and developing a concrete launch or relaunch plan.
Target Audience
- Release Train Engineers (RTEs) who are leading the establishment or further development of an AI-Native ART
- SAFe Practice Consultants (SPCs) who support organizations in adopting AI-Native ways of working
- Product Managers who want to align product development and ART planning with AI to achieve measurable customer and business outcomes
- Executives and transformation leaders who are shaping roles, collaboration, and the framework for an AI-Native ART
You have a basic understanding of SAFe and are familiar with the roles, processes, and collaboration within an Agile Release Train (ART). Practical experience in an ART or in supporting agile transformations is a plus.
If possible, bring specific questions or challenges from your current or planned ART. This will allow you to apply the course content directly to your specific situation.
After completing the «Launching AI-Native ARTs» course, you’ll gain access to the exam. The first two exam attempts are included in the course price and must be taken within 60 days of completing the course.
Upon passing the exam, you will receive the «AI-Native ART Leader» certification from the Scaled Agile Academy.
Exam format: Web-based, no aids allowed, questions: 45 (multiple choice), passing score: 80 percent, duration: 90 minutes.
If necessary, you may retake the exam once at no cost.
This training is conducted by the officially accredited training organization Taleon GmbH.