Artificial intelligence is rapidly transforming how organizations build capability, personalize learning, measure performance, and scale workforce readiness. Yet many L&D functions still rely on models designed for slower, more stable environments. This highly practical four-day program equips L&D professionals with the frameworks, tools, and operational approaches to redesign modern learning systems using AI-enabled workflows and adaptive learning.
Unlike conventional AI-for-L&D workshops that stop at content generation or prompting, this program begins with practical AI use and guided experimentation, then progresses to adaptive learning systems, workflow automation, and scalable learning operations. It is built on two proprietary frameworks, the FLOW-OS Framework TM (design layer) and the 10-Step API Workflow Model TM (execution layer), and shows how AI reshapes the ADDIE model and the Kirkpatrick evaluation framework in practice.
The program culminates in a hands-on capstone where participants design, build, test, and demonstrate a complete, agentic L&D workflow using no-code tools, structured operational logic, and measurable learning impact principles. No coding experience is required.
01Explain how AI is transforming Learning & Development.
02Apply AI to learning design, delivery, and workforce capability development.
03Use the ADDIE model within AI-enabled learning environments.
04Design adaptive and personalized learning journeys.
05Apply the FLOW-OS TM and 10-Step API Workflow frameworks to L&D workflows.
06Improve learning analytics, governance, and execution consistency.
07Measure learning impact and ROI using the Kirkpatrick framework.
08Build and demonstrate a working, agentic L&D workflow using no-code tools.
The learning journey
From understanding to a working build
1 Design2 Personalize3 Automate4 Measure5 Build
Capstone Project. Build and run an AI-enabled L&D workflow, from real use case to live demonstration.
How it runs
This program follows our decision-centered learning design, combining:
Opening Challenges. Practical challenges that surface participants’ assumptions before frameworks are introduced.
Expert-Led Briefings. Concise, evidence-based input on concepts, frameworks, and emerging practice.
Case Studies and Simulations. Realistic situations with genuine choices, where participants decide, defend, and reconsider.
Hands-on Activities. Applying tools and frameworks, including AI tools, to participants’ own work.
Ready-to-Use Tools and Templates. Practical resources delegates can apply immediately in the workplace.
Workshop in session
Who should attend
This program is designed for experienced professionals, including:
L&D Leaders and Managers
Instructional Designers and Learning Specialists
Talent and Leadership Development Professionals
Learning Operations and OD Professionals
HR Technology and Digital Learning Specialists
HR and Workforce Transformation Leaders
This is not a foundational L&D course. It is designed for experienced professionals seeking to modernize learning systems, improve operational execution, and integrate AI into enterprise learning environments.
Workshop in session, KSA
Workshop in session