AI-Empowered Leading SAFe (6.0) Course | SAFe Agilist (SA) Certification Training

SKU: 1007
10 Lesson
|
16 Hours
AI-Empowered Leading SAFe (6.0) Course is designed to help leaders apply SAFe principles, Lean-Agile practices, and AI-assisted techniques to drive Business Agility at scale. This training covers Agile Release Trains, PI Planning, Lean Portfolio Management, customer-centric product delivery, responsible AI, and SAFe CoPilot to help organizations align strategy, execution, and continuous improvement.

Overview

Prerequisites for AI-Empowered Leading SAFe (6.0)

  • 5+ years of experience in software development, testing, business analysis, product, or project management
  • Experience working in Scrum

What Will You Learn

  • Apply SAFe mindset, values, and principles to lead a Lean-Agile enterprise
  • Organize cross-functional teams around value streams
  • Align the entire organization around clear strategic objectives
  • Lead and participate in PI Planning events
  • Execute Program Increments and measure ART performance
  • Drive customer-centricity using Design Thinking
  • Implement Lean Portfolio Management
  • Use AI prompting techniques for SAFe Agilist responsibilities
  • Apply Responsible AI practices within the SAFe Framework
  • Use SAFe CoPilot to navigate Framework guidance and create organizational artifacts
  • Lead a Lean-Agile transformation using the SAFe Implementation Roadmap

Tools and Technologies Covered

  • SAFe Studio
  • SAFe CoPilot (AI Assistant)
  • SAFe Community Platform
  • PI Planning Board
  • Program Kanban
  • Portfolio Kanban
  • ART Inspect and Adapt Workshop Tools
  • ROAM Board (Resolve, Own, Accept, Mitigate)

Leading Safe Agile

Course Curriculum

1. AI as a disruptive force reshaping industries and operating models
2. SAFe as an operating system for Business Agility
3. The seven core competencies of the Lean Enterprise
4. SAFe Framework configurations: Essential, Large Solution, Portfolio, Full
1. SAFe Core Values: Alignment, Transparency, Respect for People, Relentless Improvement
2. The Lean-Agile Mindset and the SAFe House of Lean
3. The 10 SAFe Lean-Agile Principles
4. Servant leadership and empowering teams in AI-assisted workplaces
1. Generative AI, Large Language Models (LLMs), and agentic AI concepts
2. Role-specific AI prompting techniques for SAFe Agilist responsibilities
3. Responsible AI principles: transparency, fairness, accountability, and safety
4. Using SAFe CoPilot to navigate Framework guidance and generate organizational artifacts
1. Cross-functional Agile Teams, roles, and value stream organization
2. Built-In Quality practices and the Continuous Delivery Pipeline
3. AI-assisted DevOps: automated testing, CI/CD intelligence, and code review
4. TDD, BDD, and Agile Architecture in AI-enabled delivery environments
1. Customer Centricity and AI-assisted Design Thinking
2. Product and Solution Vision, Roadmaps, and Backlogs
3. Using AI to analyze customer data, prioritize features, and define Acceptance Criteria
4. Continuous Exploration, Integration, and Deployment
1. Connecting Portfolio Strategy to Enterprise Execution
2. Portfolio Kanban and AI-driven portfolio transparency and forecasting
3. Epics, Enablers, and AI-assisted Lean Business Case creation
4. Lean Budget Guardrails and the shift from project to product funding
1. Agile Release Train (ART): structure, roles, and responsibilities
2. RTE, Product Management, and System Architect roles in AI-empowered environments
3. ART events: PI Planning, Iteration Review, System Demo, Inspect and Adapt
4. AI prompts for ART-level communication, dependency mapping, and alignment
1. PI Planning preparation: vision, top features, team capacity, and AI-assisted readiness
2. PI Planning agenda: two-day event structure and facilitation
3. Team breakouts, risk identification, ROAM board, and AI-generated PI summaries
4. PI Objectives, confidence vote, and ART commitment
1. Iteration execution: planning, reviews, and retrospectives
2. Flow metrics, team and ART predictability enhanced by AI-powered analytics
3. Release on Demand and AI-assisted deployment risk assessment
4. Inspect and Adapt: AI-assisted root cause analysis and structured improvement
1. SAFe Implementation Roadmap: 12 steps to transformation
2. Building a Guiding Coalition and establishing urgency
3. Responsible AI governance: bias detection, data privacy, and ethical use policies
4. Measuring transformation progress and sustaining human-AI collaboration
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Course Fees

Online Class Room Program

US $ 799.00 US $ 719.00
100% Money Back Guarantee
  • Duration : 16 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 30 Jun 2026
  • Weekday Batch 06 Jul 2026
  • Weekend Batch 04 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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AI-Empowered Leading SAFe (6.0) Certification Training | SAFe Agilist (SA)

This course is aligned with the AI-Empowered Leading SAFe (6.0) certification and prepares learners for the SAFe Agilist (SA) credential. The training covers Lean-Agile Leadership, Agile Release Trains (ARTs), PI Planning, Lean Portfolio Management, Customer-Centric Product Delivery, Responsible AI Practices, and the use of SAFe CoPilot. Upon successful completion of the training, learners will receive a Course Completion Certificate from igmGuru. Additionally, learners become eligible to take the SAFe Agilist Certification Exam administered by Scaled Agile.

Exam Details

  • Official Name: SAFe Agilist (SA)
  • Course: AI-Empowered Leading SAFe (6.0)
  • Exam Format: Multiple Choice
  • Number of Questions: 45
  • Exam Duration: 90 Minutes
  • Passing Score: 80% (36 out of 45)
  • Exam Delivery: Online, Web-Based
  • Language: English
  • Certification Validity: 1 Year
  • Exam Access: First attempt included with course registration through Scaled Agile (subject to Scaled Agile policies)
AI-Empowered Leading SAFe (6.0) Certification Training | SAFe Agilist (SA)

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