Instructor: Rob Hill

Professional Scrum Master (PSM)

Training Agenda:

  • Introductions
  • Theory & First Principles
  • The Scrum Framework
  • Product Delivery with Scrum
  • People & Teams
  • The Scrum Master
  • Closing

AI-Empowered Leading SAFe®

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

AI-Empowered SAFe® Product Owner/Product Manager (SAFe POPM)

  • Lesson 1: Exploring Product Roles and Responsibilities
    • Introducing SAFe for product roles
    • The Lean-Agile mindset
    • Value streams
    • Responsibilities of product roles
  • Lesson 2: Preparing for PI Planning
    • PI Planning
    • The solution vision
    • Solution and PI roadmaps
    • Customer-centric features
    • ART backlog and Kanban
  • Lesson 3: Leading PI Planning
    • Communicate the vision
    • Establish PI objectives
    • Manage dependencies
    • Manage risks
  • Lesson 4: Executing Iterations
    • Stories and story maps
    • Iteration planning
    • The team Kanban and team sync
    • Backlog refinement
    • Iteration review and iteration retrospective
    • Continuous delivery pipeline
  • Lesson 5: Executing the PI
    • Aligning delivery with sync events
    • The system demo
    • The innovation and planning iteration
    • Inspect and adapt
  • Lesson 6: AI for Product Roles
    • An overview of AI
    • Responsible AI
    • Building an AI-augmented workforce