Posted on October 17, 2020 by Yogesh Kumar -
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
Posted on October 17, 2020 by Yash Sutrave -
- 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