Kanban Manager with AI Certification (KMC)

Kanban Manager Course with AI Certification (KMC)

The Kanban Manager with AI Certification (KMC) course is designed for professionals seeking to master the implementation of Kanban at an organizational level. This certification equips individuals with the expertise needed to lead Kanban teams, optimize workflow efficiency, leverage Kanban metrics, and align Kanban with strategic business objectives, such as OKRs (Objectives and Key Results).

The course is taught in virtual/tele-training modality and face-to-face and telepresence training activities can also be carried out on demand .

Kanban Manager with AI - KMC Certification - Agile Project Management - Kanban Methodology - Leadership in Agile Environments - Process Optimization - Applied Artificial Intelligence

Goals

• Master the implementation of Kanban at an organizational level, ensuring alignment with strategic objectives and continuous value delivery.
• Lead teams and coordinate multiple workflows, applying Lean principles and Kanban practices to optimize processes and eliminate bottlenecks.
• Define Kanban roles, artifacts, and cadences, establishing agile governance and effective monitoring mechanisms.
• Apply key metrics (Lead Time, Cycle Time, Throughput, CFD) to measure performance and improve decision making.
• Integrate artificial intelligence (AI) into Kanban management for predictive analytics, automation, and workflow optimization.
• Scaling Kanban in complex environments, ensuring coordination between teams and agile governance.
• Prepare for the KMC certification, focusing on the assessed domains and the practice needed to pass the official exam (100 questions, 120 minutes, no penalty).

Addressed to

For anyone looking to lead and manage Kanban teams by mastering Kanban principles, roles, metrics, cadences, Lean Kanban, and aligning Kanban with business objectives such as OKRs.

Content of the Certified Kanban Manager with AI (KMC) course

Module 1 Introduction to the role of Kanban Manager

Purpose of the role, impact on the organization and benefits of the Kanban method.

Module 2 Advanced Kanban Fundamentals

Principles, essential practices, visual management, and continuous improvement.

Module 3 Roles, artifacts and cadences

Key roles (Manager, Service Delivery Manager), artifacts (boards, policies) and Kanban meetings.

Module 4 Design and implementation of Kanban systems

Configuration of dashboards, WIP limits, service classes, and explicit policies.

Module 5 Metrics and workflow analysis

Lead Time, Cycle Time, Throughput, CFD and predictive metrics for optimization.

Module 6 AI-powered Kanban

Automation of tracking, predictive analytics, and intelligent recommendations.

Module 7 Organizational Adoption and Scaling Strategies

Implementation roadmap, change management, and agile governance. [taesys.com.mx]

Module 8 Case studies and simulation

Exercises in board design, flow management, and simulation of real-world scenarios.

Prerequisites

There is no formal prerequisite for this certification. However, it is preferable to complete the Kanban Manager with AI Certified (KMC) or Kanban Product Owner with AI Certified (KPOC) certifications before applying for the Kanban with Scrum, DevOps, and OKRs certification. Attending KSDOC classroom training provided by a Kanbanstudy™ Authorized Training Partner (ATP) is also highly recommended.

Other training modalities

If you are interested in taking this course in telepresence format, please contact us by email: info@nanforiberica.com , or by phone: +34 91 031 66 78, or WhatsApp: +34 685 60 05 91