The AI Empowered Leading SAFe two-day course prepares you to lead a Lean Agile enterprise by combining SAFe principles with AI driven strategies to succeed in increasingly complex environments.
You will develop practical prompting techniques aligned to SAFe Agilist responsibilities and learn how to leverage modern technology to align large-scale organizations and drive successful transformations. The Leading SAFe course delivers hands-on learning and certification grounded in proven Agile principles.
You will also gain guidance and tools to build a culture of resiliency and a shared language that engages employees and focuses on customers so that your organization can work with agility at scale. By implementing Lean Software Development and Product Development Flow, you will understand how to create longer programs, referred to as Agile Release Trains, where groups of Agile teams collaborate to optimize quality and velocity to deliver even greater value to their stakeholders.
Course Outline:
Real-World Exercises: In this course, learners will apply the concepts taught in class by breaking out into small groups or teams and completing hands-on, scenario-based exercises related to each module.
Day 1: Foundations of SAFe with AI Integration
- Welcome and Course Overview
- Introduction to SAFe (Scaled Agile Framework)
- Lean-Agile Mindset and Principles
- Role of AI in Agile Transformations
- AI-Augmented Decision Making in Portfolio and Program Levels
- SAFe Core Values and House of Lean
- Understanding Agile Release Trains (ARTs)
- AI use cases in ART coordination and dependency management
- Roles in SAFe with AI augmentation (RTE, Product Management, System Architect)
- PI Planning with AI support (forecasting, risk prediction)
- Interactive Exercise: AI-assisted PI Planning simulation
- Day 1 Wrap-up and Q&A
Day 2: Execution, Delivery, and AI-Driven Leadership
- Recap of Day 1
- Program Execution and Flow Optimization with AI
- DevOps and AI-enabled Continuous Delivery Pipeline
- Predictive analytics for delivery and risk management
- Lean Portfolio Management with AI insights
- Agile Product Delivery and AI-driven customer insights
- Metrics and AI-enhanced performance tracking (BV vs AV)
- Ethical considerations and governance of AI in Agile environments
- Leading Change with AI-enabled transformation roadmap
- Exam Preparation (SAFe Agilist Certification)
- Practice Questions and Discussion
- Course Wrap-up and Next Steps
Learning Objectives
- Understand SAFe principles with AI integration
- Apply AI tools to enhance Agile decision-making and delivery
- Lead AI-enabled Agile transformations
- Leverage predictive analytics for program and portfolio management
- Prepare for SAFe Agilist certification with modern AI context