The James Webb Space Telescope has shattered the boundaries of space science. Scientists find themselves rewriting the books of our understanding, reevaluating assumptions, and revolutionizing practices. The landscape of space science has been forever transformed. 

The arrival of A.I. and ChatGPT in Learning and Development (L&D) is like the James Webb Space Telescope. It is revolutionary. It is groundbreaking. It presents enormous opportunities to transform our ways of helping learners learn. A.I./ChatGPT forces us to rethink and redefine the way we train people. We can now truly expand our workers’ and learners’ capacities with personalization, self-mentoring, gaining insights from massive knowledge, making them problem solvers, learning to impact work, and many others. 

As learning designers and L&D specialists, A.I./ChatGPT fundamentally changes how we do our work. We can now get A.I./ChatGPT to do much of the brute and rudimentary work and reduce the costs drastically, while we focus on improving productivity and quality design in helping our workers.  

The challenge, however, is to find the proverbial “needle in the haystack.” Where do we start, what is our focus, and how do we create immediate results from our A.I./ChatGPT applications? How do we develop new skills and how do we discover new personal rewards and advancement? This is what the workshop is all about.

Workshop Objectives

In the workshop, you will learn to:

  • Dig deeper into how to effectively use A.I./ChatGPT to develop novel and transformative ways of training people
  • Match your organization’s demands and learning objectives with the right solutions 
  • Expand learners’ capacities with personalization and self-mentoring
  • Empower your learning journey by experimenting with A.I./ChatGPT new tools to solve old and new learning problems
  • Immediately use live models, exercises, templates, videos, and references to have a personal experience with A.I./ChatGPT

Session Topics

Challenge: ChatGPT, a monumental leap in technology in the last 50 years, has opened up a world of unlimited information covering humanity's collective knowledge. But amid this boundless opportunity, a crucial challenge emerges: How can we effectively guide learners in this new reality? Answer: Think smarter than the machine and design learning that ensures ChatGPT supports your objectives.

Objectives: In our arsenal of evidence-based learning sciences, what do we delete, append, and edit? Should we discover new ones that support ChatGPT-assisted learning? What are transformational learning design opportunities driven by ChatGPT? What can you apply today? 

Applications: In the application aspects of the workshop, you will map the impacts of ChatGPT to ADDIE, SAM, Workflow Learning, Microlearning, Coaching, and key methods. You will also prepare investigation techniques to use ChatGPT; Identify immediate and long-term gains and risks that are not worth taking; Get a layman’s view of A.I., LLMs (Large Language Models), and ChatGPT.


Challenge: No, you can not stop all your projects and focus on using ChatGPT alone. However, you can selectively integrate ChatGPT in strategic or quick-win initiatives to potentially yield remarkable results.

But how do you develop your own discovery process? How do you find the fit? What questions do you ask yourself? Clue: Think like a scientist in your own lab. You test and experiment. At the core of ChatGPT is a constant, iterative, fast reinvention of self.

Objectives: How to develop your own discovery method using experimentation? How do you match your learning objectives with the right ChatGPT solution? How do you uncover savings, speed, deeper learning, and solutions in your learning plans? How do you test the 15 ChatGPT Learning Models? How do you sell to stakeholders? 

Applications: In the application aspects of the workshop, you will review the 15 ChatGPT Learning Models. These are live examples you can touch and test and be inspired with. You will preview the video guide and instructions. You will also receive templates for conducting your own testing using the 15 models. You have the option to do a micro project using the models.

The 15 ChatGPT Learning Models

  • Zero to 99% knowledge familiarity
  • Problem-solving
  • Coaching and peer learning
  • Compliance, ISO, labor, and other laws
  • Safety standards and procedures
  • Cohorts and collaboration
  • Data and analytics
  • Instructor skills
  • Webinars and virtual sessions
  • Growth, leadership, and people skill
  • Financials, calculations, and scientific ideas 
  • Sales and marketing
  • Processes and operations, manufacturing and logistics
  • Integration and performance dashboards
  • Self-tutoring and mentoring 

Challenge: Imagine creating a lesson in just 10 minutes which would normally take two hours to complete. Using ChatGPT is a valuable tool for accelerating the learning process and promoting problem-solving skills. But the challenge, however, is not reducing cost or increasing the speed of production. It is to drastically change our authoring science and practice into reflection, application, and problem-solving. ChatGPT is a powerful tool for helping learners solve problems.

Objectives: How to reduce time and increase the speed of production using ChatGPT? What ChatGPT plugins and widgets accelerate this 10X Faster Lesson Creation? How to change the strategy of your learning programs to solve business problems and create impact? How do you find the biggest impacts of your lessons? 

Applications: In the application aspects of the workshop, you will access a series of ChatGPT methods to meet the goals of 10X Faster Lesson Creation. You will obtain a scripted series of steps to implement a prototype and small project applying 10X Faster Lesson Creation.


Challenge: Learners are now engaging in meaningful conversations with algorithmic text models. ChatGPT is smart, gracious, and even funny. But they don’t think. But remember, they don’t think. They are good at conversations and organizing knowledge. It is still in the learners' capacity to fully utilize ChatGPT, which is dependent on how they think through the work problem and objectives. Learners must then have to articulate this thinking into prompt questions so they can have effective conversations with ChatGPT.

Objectives: What is the A.I., ChatGPT, and Large Language Models (LLMs) algorithm that enables them to have conversations with people? What is Prompt Engineering and what is its role in the conversations? What can we leverage in the learning design method that is close to Prompt Engineering? How do you create and test prompt questions that meet the learning goals of your lessons and problem-solving? 

Applications: Apply a decision tree map on how to create and test prompt questions. Investigate how to use different types of prompt questions to accelerate learning and problem-solving. Align prompt questions, conversations, and ChatGPT responses to meet your learning goals. Obtain the 250 ready-to-use prompt questions to solve learning by problem-solving.


Challenge: While many optimists believe that AI ChatGPT has the potential to bring positive impacts, it’s also crucial to acknowledge the risks and damages associated with this technology. Unreliable content, biased ideas, and copyright infringement are a few to mention. However, enterprise and organizational ChatGPT-aided learning programs can install guard rails to reduce the risk and damage.

Objectives: What sample rules and policies can you apply? How to check if learners’ scope of conversations with ChatGPT leads to meeting learning objectives? How to increase the reliability of the knowledge from ChatGPT? How to use ChatGPT narrative models of learning validation? 

Applications: Check a list of strategies to limit liabilities posed by ChatGPT. Build an evaluation and validation process for learning when using ChatGPT. Use a formula to confine ChatGPT within your learning objectives. Add Responsible Design aligning ChatGPT knowledge with learning design, accuracy, and ethical standards.


Challenge: The good thing about ChatGPT is the aggressive innovation and reiteration by the large provider companies. Improvements come in daily. There is an abundance of novel solutions that we can test and experiment often and constantly. A.I./ChatGPT will be in all facets of business operations. So instead of change happening by trickles or gradual steps, we could see massive and immediate adoption.

Objectives: How do we reinvent, retire, replace, insert, attach, fulcrum, and pivot learning design using ChatGPT? How to determine what will replace or make room for in your learning design? 

Applications: Creating a beta, proof-of-concept, or minimal viable product using one or two of the ChatGPT 15 Learning Models. Follow the beta development template. One-on-one mentoring with Ray and facilitators on your beta project. Reviewing the landscape of learning platforms and their adoption with ChatGPT.

Obtain the book

As part of your attendance to the workshop, you will receive a copy of Ray’s ebook.

Workshop Learning Workflow

The Workshop Learning Flow covers for each session topic: 1-2 hours of self-study, research, preparations, and projects; 1-hour live webinar conversations; and a 30-minute of post-webinar mentoring and discussion. The total workshop requires around 18 hours of learning time.

Ready-to-Use Materials

For each session, you will receive ready-to-use materials which include an exercise, videos, and references you can use immediately. You will also access templates and forms. You will enjoy the added benefit of “touching” and playing around with the live demos of the models. All webinars will be recorded. You have up to six months after the workshop to access all the materials, references, videos, and recordings.


In the sessions, you will do exercises and your mentors will provide you with guidance and review your completed exercises after each live session. Ray Jimenez and his associates will provide one-on-one mentoring for beta projects and proof-of-concept projects.

Co-Facilitator and Mentor

Ryan Seratt is a Learning Consultant for Vignettes Learning, Inc.
Ryan is a digital-age learning leader with a passion for creating highly effective training programs using a combination of the right technology, modern learning methods, and coaching to help learners thrive in today's demanding work environments. With over 20 years of experience in creating software training programs and leading change for organizations in the telecom, finance, retail, and healthcare industries, Ryan's significant global expertise includes implementing training technology, driving training standards and implementing robust skill coaching programs to exceed quality standards in organizations located in the United States, South Africa, Bulgaria, India, the Philippines, and the Dominican Republic.
Ryan is committed to transforming traditional training methods into modern learning ecosystems that better prepare learners to successfully perform their roles. Ryan's approach to training was developed through years of observing how workers struggle to keep up with the increasing complexity of products and services in the digital and global markets. His approach involves the transformation of training from a classroom only approach into a more effective and modern blended learning delivery that combines adult learning strategies with the right technology to effectively implement those strategies at all phases of learning  - onboarding, ongoing training, and upskilling to increase proficiency.  These programs include a range of training modalities, including instructor-led training, virtual training, eLearning, mobile learning, microlearning videos and cutting edge searchable knowledge libraries, to provide learners with the right training at the right time.
In addition, Ryan has been working on an AI powered Just-In-Time microlearning delivery platform to support healthcare workers.  The platform uses AI with Vespa multi-vector indexing to power searches as well as AI enabled video transcription and closed caption generation.  ChatGPT is integrated to automatically create step by step job aids as well. 
Most recently, Ryan has been partnering with Vignettes Learning clients to implement the SituationExpert learning system (now with ChatGPT) to reduce training time, increase learner satisfaction and training effectiveness.    

About Ray Jimenez, Ph.D.

Ray Jimenez PhD, a pioneering figure in the field of Learning and Development, left behind an enduring legacy that continues to inspire the industry. His contributions to the world of training are immeasurable, and his innovative spirit lives on through his work and the countless lives he’s touched.

As the Chief Learning Architect and Founder of Vignettes Learning and Training Magazine Network, Ray was also the creative force behind Situation Expert, an A.I. ChatGPT Workflow Learning Platform. His dedication to innovation was recognized with the prestigious Innovation Technology Award from Training Magazine.

Ray began his career as a management consultant at Coopers and Lybrand, specializing in learning technology innovations, information management systems, and management development. Throughout his career, he led teams in implementing A.I., assisted performance metrics, talent management strategies, and effective learning designs.

Ray’s passion was focused on helping organizations, learning leaders, and learners embrace context-driven and workflow-based learning systems. His groundbreaking work in micro-content learning design and delivery resulted in innovative methodologies and software applications. The core of his expertise was on Workflow Learning Systems, Microlearning Expertise Systems, Story-Based Learning Designs (SBLD), and Contextual Learning Platforms (CLP). 

He invented the kernel learning design called "SRIA" (Set up, Relate, Interpret, and Apply). The SRIA applies to all modalities including Microlearning and mobile learning.

Ray's influence extended beyond his innovative work. He championed the Microlearning Implementation Process and authored influential books, including "Workflow Learning," "3-Minute e-Learning," "Scenario-Based e-Learning," "Story-Based eLearning Design," and "Do-It-Yourself eLearning." Soon, his last book on “Transforming Learning Design Using A.I. ChatGPT” will also be available.

He was a sought-after speaker and thought leader, gracing conferences for organizations such as ATD, Training Magazine, eLearning Guild, ISPI, DevCon mLearning, and so on.

As the principal architect of the Training Magazine Network, which has over 185,000 L&D professional members, Ray played a pivotal role in shaping the Learning and Development community. His recent venture, Situation Expert, an A.I. ChatGPT learning system for continuous self-improvement and expertise development, exemplified his commitment to pushing the boundaries of innovation.

Ray generously shared his knowledge and expertise as an advisor and presenter of eLearning programs for prestigious institutions. He earned his Ph.D. from St. Peter's College and pursued Studies in Interactive Media at the University of California, Los Angeles.

Ray's impact extended to a diverse array of clients, including renowned organizations like FedEx, KPMG, Boeing, Lyondellbasell, Pearson, Cisco, Pixar, Dendreon, Netafim, Oracle, and NASA. Colleagues and workshop participants described him as "fun," "engaging," "technically savvy," and "inspiring." Ray's award-winning software solutions have been celebrated for their innovation.

Over 45,000 individuals have attended Ray's webinars, keynote presentations, and workshops, experiencing firsthand the transformative power of his insights and ideas. 

Ray Jimenez's dedication to advancing the field of Learning and Development remains an enduring source of inspiration. His contributions will be remembered and celebrated for generations to come. 

Webinars, Videos, and Publications by Ray Jimenez





Situation Expert is managed by Ray’s Software Team

Over 185,000 community members managed by Ray -,

Software Familiarization

During the workshop you will have access to guides and references of different ChatGPT applications, plugins, and widgets, and learning platforms integrated with ChatGPT. The workshop is not about learning software. It is about learning design strategies, methods, models, applications, and processes by using ChatGPT in learning design.

Please contact us for assistance.

List of Workshop Participating Companies