Training Course Catalog

Participants will step into the operational roles of a high-volume transactional service industry and
work together to get the job done. While simulating ever-increasing performance requirements,
limited resources, and typical constraints on change, each iteration will allow for team-based
improvements that demonstrate the power of working together to find common solutions that
benefit the whole.

In this course, participants will learn essential process mapping techniques and how to link critical knowledge assets to the processes. Through real-life examples and practical tips, participants will gain insights on how to apply these techniques for tangible benefits in your organizations.

This course covers the essentials for process maturity assessments within any organization, demonstrating how to build a maturity model and apply it as part of continuous improvement across the business.

This course will help organizations understand how to evolve, sustain, and continuously improve their KM programs. Participants will develop use cases documenting real-life scenarios focused on their current KM capabilities and gain insights for improving their scenarios.

This course will discuss the foundational principles for effective governance that can be applied in
both process management and knowledge management.

This course is designed to give knowledge leaders the tools and strategies they need to succeed, whether they’re launching a large transformative initiative or keeping one fresh. Data from APQC research will be introduced that leaders can use to make a business case for advancing their knowledge management efforts.

The process performance workshop prepares participants to understand process performance measurement and the importance of monitoring and controlling their processes.

This course illustrates the overlap and alignment of process and knowledge techniques, shows how knowledge and process workers can leverage the cross-over skills and working together, and how sustainable change within organizations can only be achieved with both.

This course helps organizations move enterprise AI efforts beyond experimentation and toward consistent, measurable results. Participants will examine why many AI initiatives stall or fail and learn how to position AI as a core business capability rather than a standalone technology project.

This course is organized around APQC’s Seven Tenets of Process ManagementSM and characteristics of high-performing, best-practice process-managed organizations. Participants will learn about each of the seven tenets and how they work together to build a strong process management approach.

This course will focus on identifying measurement strategies appropriate to your level of Knowledge Management (KM) maturity. Participants will be introduced to a variety of processes and tools to track the impact of KM activities on business processes and organizational outcomes.

This course helps participants to understand process performance measurement and the importance of monitoring and controlling processes. Participants will learn how to identify control points and their associated measures, connect process measures to strategic objectives and critical success factors, and build integrity into defining and managing process measures.

This course introduces participants to process frameworks such as APQC’s Process Classification Framework (PCF)®. The structure, core principles, and use of frameworks will be studied with examples from real organizations.

During this course, you will learn the benefits of the SIPOC (suppliers, inputs, process, outputs, and customers) tool and how to use it effectively in your improvement projects.

This course will discuss common types of process maps and demonstrate best practices for their creation and use based on real examples from APQC engagement with organizations like yours. Participants will go through the life cycle of the process map from design to performance, and subsequent evaluation and continuous improvement.