The courses are based on the official licensed material of Kanban University.
All materials are provided in electronic form. These include specific guidelines, a glossary, and a wealth of information for practical application that goes beyond the standard.
After completing each course, participants receive an official certificate of attendance from Kanban University. The “Kanban Management Professional (KMP)” certification is only awarded after full and committed participation in the KSD courses, the mandatory basic module from KSI or KDI (day 1), and an optional additional module (day 2) from KSI or KDI (a total of at least 4 days).
The flexible learning paths thus offer suitable access for everyone. Depending on your experience and what your organization wants to implement, we recommend starting with either the Training Flow Manager (FM) or Kanban System Design (KSD). With both, you can start using the application immediately afterwards.
If you start with the “Scrum Better for Kanban (SBK)” module and want to dive deeper at some point later, we recommend continuing with the KSD or FM training after SBK and, if necessary, dealing with the upstream Kanban systems on the second day of KDI.
We often use the “Scrum Better for Kanban (SBK)” module as a coaching basis after a starter package from the Kanban System Design (KSD) training and the additional module (day 2) from Kanban for Design & Innovation (KDI).
It is best to consult with us briefly so that you can get the best start and/or the right next steps.
Team Kanban Practitioner (TKP)
- What does Kanban mean?
- Why should I use Kanban in my environment?
- Where does Kanban help me?
- How can I use Kanban?
- What are the risks and side effects of introducing Kanban?
- Understand the basics, motivation and benefits of the Kanban method for your team.
- Experienced use of WIP limits to improve work flow.
- Recognized holding Kanban meetings to focus on the work and allow the team to organize around it.
- Identified how to move to the next level with teams and Kanban and apply the first practices in your day-to-day work.
- Increased speed and response time with more adequate risk management and governance.
- Understood "train" systems and the approach to reduce overload.
- Learned how to use system lead times to create and apply distributions.
Contents
- Identified six common practices of the Kanban method
- Visualized work flow - Show the work and its flow
- Limited work in progress - Stop starting, start finishing!
- Controlled flow - Identify and control what impedes the flow of work
- Agreed explicit guidelines - Have guidelines that are visible to everyone involved
- Established feedback loops - at the appropriate frequency to provide guidance.
- Joint improvement and experimental development with the Kanban method
Flow Manager (FM)
The Flow Manager course is focused on teaching the essentials of managing and improving the flow of customer-valued work. This course provides practical skills for tracking and enhancing delivery, ensuring faster and more predictable customer outcomes.
By learning to identify customer requests, track work in progress, and measure flow efficiency, Flow Managers become the backbone of agile delivery—keeping work moving and helping teams prioritize “finishing” over “starting.”
This course also introduces foundational flow metrics, such as time-to-delivery, that are critical to aligning team efforts with customer needs. Designed to fill a gap often seen in team-level agility, Flow Manager training empowers Agile professionals to manage delivery beyond a single team and make a meaningful impact on overall business performance.
- Map and visualize a service delivery or product development workflow
- Facilitate the workflow Kanban Meeting
- Facilitate the understanding of customer requests
- Create awareness of flow of work to identified customers
- Ensure that flow metrics are being collected and reported
- Facilitate the resolution of blockers, rework, and aging WIP
- Facilitate the flow review meeting
- Lead changes intended to improve flow and shorten delivery times
Contents
- Kanban method & organiszational maturity
- Flow manager role
- Flow simulation
- Operational practices managing flow
- Management practices improving flow
What problems does this course solve?
Applying the knowledge from this course, a certified Flow Manager would be able to create a big improvement from ML1, making work faster and more predictable.
The course has been designed to ...
- Give managers the right skills to support the organization
- Take a team focused organization beyond ML1
- Mapping work-flow end to end potentially to enterprise level
- Facilitating and managing the flow of work beyond the team level
- Adapting to a service orientated approach, thinking about how the organization works
Companies seeking to scale beyond the team level.
This course is ideal for agile professionals, team leads, and managers who want to move beyond team-level agility to improve the end-to-end flow of customer valued work.
Suited for roles where faster, more reliable delivery is key to success, or there is a need for greater responsibility at larger scale, Flow Manager provides a critical foundation. This class teaches how to measure and optimize delivery, flow, and alignment with customer expectations.
Kanban System Design (KSD)
As a participant of this seminar you will learn the basic components and approaches of the Kanban method. You will also learn how you can best start with Kanban in your own organization according to a proven method or how you can effectively improve existing Kanban systems. By means of a simulation you will feel the effectiveness yourself.
- Created overview of all Kanban practices, principles and agendas and their explanation
- Developed sense of flow
- Understood service orientation
- Explanation of the impact of a kanban system
- Collected basic metrics and their application
- Achieved understanding of the broad range of deployment capabilities
- Knowledge of The STATIK Approach
- Learned examples of its application
- Understanding of the purpose of each step in the model
- Applied model - either in initial design or for further development
- Recognized variety of options for board and ticket design - along with understanding of advantages and disadvantages
- Presented and delineated elements of kanban systems
- Basic design of Kanban systems
Day 1: See and feel Kanban
- Origin of Kanban
- The Kanban method
- Structure
- Kanban deepening
- Simulation & Metrics
Day 2: Implement Kanban
- Ticket design
- Patterns of visual board designs
- Examples of Kanban boards
- Case study
- STATICS system
This course is suitable for those who want to create their first Kanban system or further develop the existing one. The pre-delivered case study should be read through.
Kanban Systemimprovement (KSI)
You will also gain knowledge on how to advance Kanban implementation in your own work environment (motivation and evolutionary change approach). The training provides space for participants to reflect and share with each other.
- Identified service network
- Identified scaling options
- Developed understanding of evolutionary changes
- Improved capabilities in core practices
- Pursued proactive, rational, and constructively communicated approach to continuous evolution
- Used proven tools and methods to increase performance, eliminate delays, reduce variability, and shape bottlenecks
- Detailed elaboration of feedback loops
- Obtained awareness of cost types
Day 1: Deepening
- Evaluation
- See services
- Scaling in the company
- Kanban upstream
- Application in practice
- The evolutionary change method Kanban
- Roles
Day 2: Development
- First steps to Kanban systems
- Feedback loops for the evolution of services
- Set of service deliveries - puzzle & resolution
- Set of service deliveries - design
- Set of evolutions - review of services & operation
- Set of evolutions - risk review
- Set of advancements - Techniques
- Evolution Set - Eliminating Delays
- Understanding variability & managing bottlenecks
- Economic Consideration
Prerequisite for participation is the completion of the KMP 1 course with a KU-accredited trainer or comparable knowledge (in this case, please notify us in advance). The case study delivered in advance should be read through.
Kanban for Design and Innovation (KDI)
- Established upstream kanban system
- Stakeholders from different organizational levels and departments involved in the idea as well as decision making process
- Managed and designed demand
- Enterprise-wide scaled Kanban
- Applied evolutionary change thinking of leading improvement in organizations
Day 1: Develop upstream Kanban
- Kanban as an evolutionary change method
- Kanban for the enterprise
- Drive improvement
Day 2: Establish and improve upstream Kanban
- Upstream system design
- Upstream measurement
- Upstream cadences
- Upstream improvement
This course is suitable for those who want to optimize the area before development (implementation). The case study delivered in advance is to be read through.
Scrum better with Kanban (SBK)
Scrum better with Kanban can help you further improve your Scrum by introducing proven Kanban practices and principles and applying evolutionary change management. This course summarizes the experiences of Scrum teams that have successfully evolved the way they work through evolutionary change using the Kanban method.
The hands-on training ensures the use of a proven approach to introducing change that will deliver valuable results for your team and organization.
If you are a Scrum practitioner, team leader, Scrum master, Agile coach, or manager who wants to understand an evolutionary approach to improving your Scrum using Kanban practices, this course is a great place to start!
- Learned identification of challenges in and around your Scrum and analyzed solutions
- Identified and developed solutions for the range of delayed or slowed down work
- Developed and tested potential solutions to problems that the principles and practices of the Kanban method are designed to address
The following topics are addressed in particular - often at team level
- Dependencies
- Meetings
- Predictability
- Resistance
- Transparency
- Unplanned work
Content
- Presentation of the Kanban method
- Application of the Kanban method
- Understanding change
This course is suitable for anyone who wants to achieve more with Scrum.
AI Agent Manager (AAM)
Official Kanban University training – developed by David J. Anderson. Certified course with credential.
AI does not fix broken systems – it amplifies them. Most AI initiatives fail not because of the model, but because of poorly designed workflows, weak architecture, and a lack of management discipline. This is exactly where the AI Agent Manager comes in: it applies the proven Kanban way of thinking – flow, bottlenecks, evolutionary improvement – to AI-assisted knowledge work.
You learn: understand the system first, then apply AI deliberately. Tools come and go – your systemic perspective stays.
The course addresses professionals accountable for outcomes, workflow performance, and AI adoption in real systems:
- Product and engineering leaders
- Developers of AI-enabled solutions
- Managers responsible for operational efficiency
- Agile coaches and transformation leaders
- Architects of AI-supported workflows
Are you accountable for making AI deliver measurable value? Then you are in the right place.
Structure: two parts, 2 days each
The course comprises 4 modules across two parts. Each part lasts 2 days – and you choose the format: on site as a block, virtually in half-day sessions, or in the contemporary variant of a mix of trainer contributions and nuances from the trainer plus self-study units with and without AI, spread over one week or another agreed timeframe. After each part, you can apply what you learned directly in your organisation.
Part 1: Understanding and assessing AI systems (Modules 1–2)
- Why AI initiatives fail – AI value is fundamentally a workflow problem
- Mapping workflows, uncovering hidden work, distinguishing functions from flow
- Identifying bottlenecks and constraints and assessing their impact on system performance
- Constraint-first thinking: remove bottlenecks first, then introduce AI
- Root cause analysis and cheapest-first interventions to improve flow
- Selecting the right technology for the problem – an LLM is not always the answer
- Comparing and applying rules, retrieval, machine learning, and automation deliberately
Part 2: Designing and leading AI systems (Modules 3–4)
- Designing AI architectures: workflows, agents, memory, orchestration, control points
- Stability first, then scaling
- Implementing security controls: filters, permission boundaries, sandboxing, human approvals
- Improving reliability: WIP limits, structured outputs, decomposition, evidence grounding
- Defining and enforcing explicit policies: templates, validation, enforcement
- Running safe-to-try experiments: versioning, staged rollout, rollback
- Measuring performance: flow, quality, risk, and outcome metrics
- Designing feedback loops at micro, workflow, and system levels
- Governance models with clear roles – aligned with ISO/IEC 42001
How you will work differently afterwards
After the course, you think systemically rather than tool-driven. You diagnose workflows before introducing AI, make deliberate decisions about when AI helps – and when it does not – and design AI-assisted processes that run stable, secure, and reliable. Controls and policies make the behaviour of your AI systems predictable. Experiments, metrics, and feedback loops keep the system moving.
Our didactic design
Trainer input
Short, brain-friendly theory impulses on every topic – condensed to the essentials, drawn directly from the licensed Kanban University material. No lecture from the first minute to the last: impulses serve as the starting point for your own thinking.
Assignments
Hands-on exercises for every module: you map real workflows, identify bottlenecks, select technology options, and design control points.
Nuances
Between the exercises, we reflect on the pitfalls: what separates a good AI application from a premature one? When does AI amplify a problem? In practice, these nuances decide between success and failure – in our course, they get their own space.
Learning landscape
The course content is arranged as a learning landscape: you see every topic in context with the others, recognise your own path through the material, and keep the overview – even months later. The official Kanban University material is provided electronically, including guides, a glossary, and in-depth background information.
Self-study
Between part 1 and part 2, there is deliberately time for your own practice: you apply constraint-first diagnosis and workflow mapping in your own environment and bring your experience into part 2. Access to the online learning portal with course videos remains available after the course.
Certification
After full attendance of both parts, you receive the official certificate from Kanban University – it attests your capability to design, manage, and evolve AI-assisted systems.
Deliverables & framework
- Live sessions with me as an Accredited Kanban Trainer (AKT) of Kanban University
- Official, licensed course material in electronic form
- Exercises for practical application
- A free trial month of Kanban+
- Access to the online learning portal and the course videos
- Max. 12 participants – so we can address your questions individually
Prior knowledge of Kanban or AI is helpful but not required. An open mind for systems thinking is enough.
Kanban Roadmapping and Portfolios (KRP)
As typical supplementary building blocks for deeper applications, the following topics often serve as a basis, which can be accessed individually or grouped together.
- Understanding of the Business Agility approach
- Clarified terms portfolio and roadmap
- Acquired differentiation of classical, agile and Kanban portfolios
- Obtained overview of different common prioritization methods
- Established overview of implementation approaches for portfolios
- Clarified and differentiated terms for system and customer Kanban
- Obtained overview of useful estimation methods for flow-based approaches
- Recognized levers for decisions of flow-based systems
- Explained, tried and assigned business analysis methods
- Understood workshop methods for the "complicated" as well as "complex" tasks
- Strategic handling of product portfolios
- Designed orientation models for transformations
Day 1: Swimming up
- Business agility
- Portfolio introduction
- Classical aspects of portfolio management
- Agile aspects of portfolio management
- Aspects of Kanban to portfolio management
- Prioritization methods
- Implementation of the portfolio management
- Kanban roadmap
- Restrictions of simultaneous work in the total system
- Estimates and Kanban
- Simulations flow (end-to-end, competency development.)
Day 2: Dive
- Business analysis methods for Kanban including stationing
- Workshop methods for complicated as well as complex tasks
- Strategic product management
- Simulation transformation goals
Prerequisite is the completion of the KSD and KSI levels.
Combinations
- Kanban is the easiest way to use structures with depth and universal potential across organizations. By means of Kanban absolut EVERY kind at creative work is representable.
Design and Innovation
(KSD or KSI or KDI)
WITH ACCREDITATION
Every day: 09:00 - 17:00
and Portfolios (KRP) or
Flow Manager or Agent Manager (AAM)
PRACTICE FOCUS
Every day: 09:00 - 17:00
Individual fee: 1220,00
Kanban Design and Innovation (KDI-upstream) or
Scrum better with Kanban (SBK)
WITH ACCREDITATION
Every day: 09:00 - 17:00
In addition to the booking details, the following special conditions apply to all individual bookings:
Combined bookings for 2 trainings: minus 10%.
Combined bookings for 3 trainings: minus 12%.
Combined bookings for 4 trainings: minus 15%.
Combined bookings for 5 trainings: minus 20%.
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