Module 1: Adapting and Thriving with SAFe in an AI‑Driven World

• The need for business agility in a rapidly evolving, AI‑enabled landscape
• Overview of the Scaled Agile Framework (SAFe)
• How AI is accelerating transformation and decision-making
• Key competencies for thriving organizations
• Role of leaders in guiding AI‑enhanced transformation

Module 2: Building a Foundation with Mindset, Values, and Principles

• The Lean‑Agile mindset: SAFe House of Lean and Agile Manifesto
• Core SAFe values: Alignment, Built‑in Quality, Transparency, Program Execution
• SAFe principles and their application in modern enterprises
• Integrating ethical and responsible AI practices into leadership decisions
• Shifting leadership behaviors to support innovation and adaptability

Module 3: Team and Technical Agility

• Forming and supporting high-performing, cross-functional Agile teams
• Organizing around value streams vs. traditional hierarchies
• DevOps, continuous integration, and continuous delivery pipelines
• Embedding AI tools into team workflows for automation and insight generation
• Improving collaboration, quality, and speed with technical agility practices

Module 4: Agile Product Delivery with AI Enablement

• Customer-centric product development and design thinking
• Defining and managing value streams
• Product ownership and backlog management at scale
• Leveraging AI for backlog refinement, user insights, and forecasting
• Delivering value continuously with built-in quality and rapid feedback loops

Module 5: Lean Portfolio Management

• Aligning strategy with execution across the organization
• Funding value streams and managing portfolios dynamically
• Strategic themes, roadmaps, and governance
• Using AI to enhance portfolio insights, prioritization, and decision-making
• Measuring outcomes and optimizing value flow

Module 6: Leading the Change

• Leading successful Lean‑Agile transformation initiatives
• Building a culture of continuous learning and improvement
• Change management strategies in complex organizations
• Coaching leaders and teams through transformation
• Applying AI responsibly to accelerate adoption and reduce friction in change

Module 7: Applying Practical, Responsible AI Prompting Techniques

• Fundamentals of effective prompt design
• Ensuring responsible, ethical, and secure use of AI tools
• Use cases for leaders: strategy, communication, and decision support
• AI-assisted problem-solving and workflow optimization
• Hands-on practice applying AI in SAFe leadership scenarios

Module 8: Putting It All Together

• Integrating SAFe principles with AI-enabled practices
• Case studies and real-world scenarios
• Action planning for your organization
• Identifying next steps for SAFe implementation and AI adoption

This course will benefit anyone who seeks to drive the adoption of scaled and organisational agility in a large company or enterprise.

• Executive Leader
• Senior Project, Program, or Product Management
• Business or Agility Consultant
• Technology Leader
• Engineering Leader
• Contractor or Government/Military Technical SME

All are welcome to attend, no prerequisites are needed.

By the end of this course, participants will be able to:

• Lead a Lean‑Agile transformation using SAFe principles
• Align teams and strategy to optimize value delivery
• Establish technical agility and high-performing teams
• Apply AI responsibly to enhance leadership and decision-making
• Drive sustainable change in an AI‑enabled enterprise

• Exam name – SAFe^® 6 Agilist Exam
• Exam format – Multiple choice (one answer) or multiple select (2-3 answers)
• Exam delivery – Web-based (single-browser), closed book, no outside assistance, timed
• Exam access – Candidates can access the exam within the SAFe Community Platform upon completion of the Leading SAFe® course
• Exam duration – Once the exam begins, candidates have 90 minutes (1.5 hours) to complete the exam
• Number of questions: 45
• Passing score – SA6 = 35 out of 45 (77%)
• Language – English
• Exam cost – First two exam attempts are included as part of the course registration fee if the exam is taken within 60 days of course completion. Each retake attempt costs $50.
• Retake policy – Second attempt on exam (first retake) can be done immediately after first attempt. Third attempt requires a 10-day wait. Fourth attempt requires a 30-day wait.