Scaled Agile Framework (SAFe)/Optimize SAFe ARTs
Skills:
PM Basics70%
Key Takeaways
Optimizes SAFe ARTs using data and prioritization
Original Description
Improving delivery at scale requires more than running SAFe ceremonies — it requires using data, prioritization, and reflection to drive real change. In this short, hands-on course, you’ll learn how to analyze Agile Release Train (ART) performance, make economically sound portfolio decisions, and run Inspect & Adapt events that lead to measurable improvement.
Designed for beginner SAFe practitioners in project and program management roles, this course focuses on practical application of SAFe measurement and continuous improvement practices. You’ll explore how to interpret ART metrics such as PI Predictability and escaped defects, identify throughput bottlenecks and quality gaps, and explain what those signals mean to leaders.
Through realistic scenarios, guided activities, and decision-based practice, you’ll apply Weighted Shortest Job First (WSJF) to evaluate portfolio epics and recommend funding priorities within Lean budgets. You’ll also design and facilitate an Inspect & Adapt workshop, using root-cause analysis and quantified goals to turn insight into action.
By the end of the course, you’ll be able to use data to guide decisions, prioritize work transparently, and lead improvement conversations that build trust and deliver results across the enterprise.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: PM Basics
View skill →Related Reads
📰
📰
📰
📰
Learn AI Training from Industry Experts at Visualpath
Dev.to · kalyan visualpath
AI Theatre: The Gap Between Talking About AI and Actually Using It
Medium · Cybersecurity
How to Structure Content for AI-First Indexing: 7 Rules That Get You Cited
Medium · AI
The Last Premium: What Stays Expensive When Thinking Gets Free
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI