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AI capability cannot sit with one person.
When your team attends together, they build shared language, compare real use cases, and return with a clearer way to apply AI across learning work.
One person can bring back ideas.
A team can build momentum. |
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AI is changing more than one part of the learning function.
Your team needs a shared way to understand it, use it, and decide what comes next.
When AI touches everything, alignment matters.
AI is already affecting learning design, content development, learner support, performance, data, tools, and change. Sending a team helps your organization connect those dots faster.
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01
Build shared language
Give your team a common way to talk about where AI fits in L&D workflows, learner experiences, and organizational change.
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02
Compare real use cases
Help team members look at AI from different angles: design, delivery, systems, performance, leadership, and implementation.
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03
Leave ready to act
Move from one person sharing takeaways to multiple people ready to keep the AI conversation moving after the Intensive.
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Who to bring
Bring the people shaping how learning work gets done.
ATD Intensive: AI is designed for the people who need to make sense of AI in real learning work, from strategy and design to implementation and adoption.
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Good team fits include
L&D leaders
People responsible for learning strategy, priorities, budgets, capability building, and team direction.
Instructional designers
The people exploring how AI changes design, content development, practice, feedback, and learner support.
Learning technology teams
Anyone evaluating tools, workflows, platforms, supplier promises, or implementation questions.
Talent and HR partners
Partners focused on future skills, adoption, change, leadership, performance, and workforce readiness.
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Build around what matters most
Three days your team can use to connect the work.
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Each day focuses on a major area where AI is already changing the work of L&D.
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Day 1
AI in the L&D Workflow
Explore how AI can support analysis, design, content development, operations, and performance support.
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Day 2
AI-Augmented Learning Experiences
Look at how AI can shape learning experiences that are more adaptive, relevant, and connected to learner needs.
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Day 3
AI and Workplace Transformation
Clarify L&D’s role in helping people and organizations adapt to AI-driven change.
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Hands-on team value
The Hackathon gives your team something to work through together.
A Hackathon runs across all three days to support hands-on practice and experimentation. Participants apply ideas in context, explore real use cases, and build confidence deciding when AI adds value, when it does not, and why human judgment remains essential.
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Why it helps teams
Practice together
Give your team a shared experience applying AI ideas to realistic learning scenarios.
Compare perspectives
See how different roles think about value, risk, learner impact, and implementation.
Bring it back
Leave with more people ready to continue the work after the event.
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Bring your team
Shared AI questions need shared AI judgment.
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Register three or more team members and give your organization a clearer way to work through AI in L&D.
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