Course Catalog

Course Code: AMS1123

Course Title: Robots as Co-workers: Communicating, Strategizing and Adapting with Artificial Intelligence

Competency Areas: Business Analysis, Operational Performance, Professional Development, Project Management

Delivery Types: Blended Learning, Instructor Led Training (ILT), Supportive Learning Artifacts, Virtual Instructor Led Training (VILT)

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Robots as Co-workers: Communicating, Strategizing and Adapting with Artificial Intelligence

In today’s ever changing manufacturing environment, the reality of artificial intelligence, automation and robotic process is a growing reality. Unlike the early versions of robotics, today’s mechanical contributors are built to excel alongside their human counterparts. Organizations are seeking ways to enhance quality and productivity by optimizing the interface between the two. Quality, process control and even “human” resources all cross through the modern age of automation. This program explores those crossroads and offers best practices and tools to establish the optimal shared environment between man and machine across all industries.

Participants will engage in a dynamic workshop to discuss and practice the behaviors and best practices necessary to get the most of the modern age of collaboration.

Duration: One Day

Content Learning Themes

  • Man and machine interface
    • Understanding how to collaborate
  • Addressing the threat
    • Establish “change” strategies to allow for workforce integration
  • Quality management
    • Design, measure and control shared quality process
  • Support your co-worker
    • Cross train the team in non-automated vs. automated jobs for sustainability
  • Adaptive improvement
    • Unlike continuous improvement, adaptive improvement allows real time change to take place

Who Should Attend

Any leader or manager charged with the integration of automation, supervising automation or preparing to integrate automation.

Customize Your Learning Experience

AMS offers a complete Blended Learning Solution (BLS) designed to provide content topics in support of instructor led programs. The objectives of this Blended Learning Solution are to provide participants with industry and organization specific knowledge, current best practices, and competency-based learning utilizing multiple delivery models in the most cost effective way.

 

Instructor Led Training
  • Delivered in 1 day
  • Maximum 16 participants
Virtual Instructor Led Training
  • Delivered in two, 3-hour sessions
  • Maximum 16 participants
Supportive Learning Artifacts
  • Articles
  • Podcasts
  • Suggested Reading/HBR Case Studies
  • Video Vignettes
Blended Learning

This course can be delivered as part of a blended learning solution, contact us for more information.

 

Customization is available for all of our programs the AMS Learning Customization Model provides our clients with the option to build and customize a scalable approach to their learning efforts.

 

Course Outline:

Introduction

  • Course Overview
  • Create the Hot Topics List

Module 1: Machine and Man Interface

  • Understanding how to collaborate
  • Knowing who made who
  • Diversity and inclusion matters here too

Module 2: Addressing the threat

  • Establish “change” strategies to allow for workforce integration
  • Who takes the credit
  • When the machine gets smarter than me

Module 3: Quality Management

  • Design, measure and control shared quality process
  • Don’t pass the blame
  • The machine never gets tired

Module 4: Support Your Co-worker

  • Cross train the team in non-automated vs. automated jobs for sustainability
  • Help teach the robot
  • Share your knowledge

Module 5: Adaptive Improvement

  • Unlike continuous improvement, adaptive improvement allows real-time change to take place
  • They still can’t speak for themselves
  • Data matters

Module 6: Course Closing

  • Review and Close the Hot Topics List
  • Course Evaluation