About Our AI Course
Prerequisites
- While there may be no strict prerequisites, a foundational understanding of Agile principles and practices, as well as a basic knowledge of AI concepts, can be beneficial.
Who Should Attend
- Certified AI Agile Leaders looking to expand their skills into the AI domain.
- Agile practitioners who are interested in integrating AI into their agile practices.
- Project & Product Managers & Team Leads.
- Release Train Engineers
- Agile Coaches & Agile Teams
Additional Resources
- Participants may receive access to supplementary materials, online forums, and post-course support to continue their learning journey
Class Logistics
- Course Duration: Two days
- Certification: Participants will receive a certificate of completion or specialized certification in "Certified AI for Agile Leaders" upon successfully finishing the course and class Exercise.
- Delivery Format: Remote
- Pre-work Technology requirements (Laptop with good internet connection, Pre-work instructions will be sent out on registration)
- Parking Lot
Benefits of an AI Agile Leaders
- Having an AI Agile leader ensures that Agile principles are effectively applied with the Power of Artificial Intelligence.
- Boot Team Productivity by 60%
- Left Shift Time to Market by 45%
- Increase Backlog health and Prioritization
- Accelerate Team Engagement and eNPS.
Course Topics
Day 1
Chapter 1: Introduction to AI, Machine Learning & Data Science
Chapter 2: Deep Dive into Data Science Pipeline
Chapter 3: Understand Machine learning Algorithms
Chapter 4: AI Strategy For Agile Methodology
Chapter 5: Blueprint of Flow of Work products
Day 2
Chapter 6: Case Study: Strategic Themes and OKR
Chapter 7: Case Study: Epics and Feature Storming
Chapter 8: Case Study: Story Mapping & Refinement
Chapter 9: Case Study: PI Planning
Chapter 10: Case Study: PI Execution
Chapter 11: AI & Governance.
