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AI Series - Beginner, Intermediate, Advanced

  • February 04, 2026
  • February 18, 2026
  • 3 sessions
  • February 04, 2026, 12:00 PM 1:00 PM (EST)
  • February 11, 2026, 12:00 PM 1:00 PM (EST)
  • February 18, 2026, 12:00 PM 1:00 PM (EST)
  • Zoom (See event confirmation for connection details)
  • 10 registrants

Registration

Register
Why a Tiered Series?
AI sessions can feel too intimidating for beginners—or too basic for experienced users. This 3-part series is designed with clear levels so you can join the session that fits your comfort and skill level.
Beginners Feb 4, 2026
Intermediate Feb 11, 2026 (details coming)
Advanced Feb 18, 2026


3-Part Series • AI in Learning & Development
Session #1: AI for ATD — Beginners
A fast-paced, hands-on intro to AI for everyday L&D tasks—no experience required

Session #1 (Beginners) Details

Date Wednesday, February 4, 2026
Time Noon-1:00 PM ET
Location Virtual (Zoom). Access details will be emailed upon registration.
Format Hands-on, interactive working session
Presenters Ben Bruno & Jamie Heagy
Come prepared: Bring access to an AI platform of your choice (e.g., ChatGPT, Copilot, Gemini, Claude). We’ll use it during hands-on activities.
This fast-paced, hands-on session gives a solid introduction to AI and shows ATD practitioners how to use it to speed up everyday L&D tasks. We’ll cover what AI is (and isn’t), where it fits in your daily workflow, how to prompt for higher-quality results, and simple ways to narrow expectations.
You’ll leave with a practical prompt checklist, a starter use-case, and time-savings ideas you can apply the same day.
Objectives
By the end of this session, participants will be able to:
  • Explain how AI works and where it adds value to L&D.
  • Utilize AI to accelerate daily tasks.
  • Create opportunities for additional AI usage.
What You’ll Walk Away With
  • A practical prompt checklist for higher-quality outputs.
  • A starter use-case you can adapt to your role.
  • Quick-win ideas to save time on common L&D tasks.
3-Part Series • AI in Learning & Development
Session #2: Intermediate
Details coming soon

Session #2 (Intermediate) Details

Date Wednesday, February 11, 2026
Time Noon-1:00 PM ET
Location Virtual (Zoom). Access details will be emailed upon registration.
Format Coming soon
Presenters Coming soon
Come prepared: Coming soon
Details coming soon.
Objectives
By the end of this intermediate session, participants will be able to:
  • Coming soon
What You’ll Walk Away With
  • Coming soon.
3-Part Series • AI in Learning & Development
Session #3: Inside a Production-Ready AI Practice Simulator: Design, Tradeoffs, and Scale (Advanced)
Building AI-Powered Practice + Coaching with Realtime APIs

Session #3 (Advanced) Details

Date Wednesday, February 18, 2026
Time Noon-1:00 PM ET
Location Virtual (Zoom). Access details will be emailed upon registration.
Format Case Study with Q&A
Presenters


Jon Meisburg

This advanced session is for L&D professionals who want a clear, practical understanding of how AI-powered practice and coaching experiences are designed and improved in real-world environments.

Jon will start by demonstrating a fully working AI-powered customer simulator, showing the end-to-end learner experience from live practice to coaching feedback. He will then walk through how the solution was first built as a GPT-based simulator, and explain why and how it later evolved into a more custom Realtime API implementation.

The session focuses on the inquiry-driven process behind the build. Participants will see examples of the questions asked of an AI assistant, how those questions lead to draft code or configuration, how the results are tested, and how the system is refined over time.

The emphasis is on understanding design decisions, tradeoffs, and workflow across both GPT-based and Realtime API-based approaches. Participants will leave with a clear mental model for how to prototype, iterate, and evaluate AI-powered practice systems, and how to choose the right approach for their needs.

Objectives
By the end of this advanced session, participants will be able to:
  • Understand a fully working AI-powered practice simulator and how its components connect from learner interaction to coaching output.
  • Break down a production-ready GPT-based simulator, including how role definition, guardrails, phase logic, and evaluation criteria support realistic practice and consistent coaching.
  • Understand how the same design was extended into a Realtime API solution, including key building blocks such as the front end experience, session service, scenario and guardrails management, transcript capture, and coaching evaluation.
  • Decide when to use a GPT-based approach versus a Realtime API solution based on learner workflow, integration needs, scale, and cost.
  • Follow a high-level inquiry sequence with an AI assistant to see how ideas become draft implementations that are tested and refined over time.
What You’ll Walk Away With
  • A clear picture of how a production-ready AI-powered practice simulator is structured from learner experience through coaching feedback.
  • A concrete example of how a GPT-based simulator can be designed using clear instructions, guardrails, and evaluation logic.
  • A high-level understanding of how that same design can be extended into a Realtime API solution, including the major front end and back end components.
  • A reusable set of inquiry prompts and example chat logs that show how to move from ideas to draft implementations, test them, and improve them iteratively.
  • Practical guidance for choosing between a GPT-based approach and a Realtime API solution based on workflow, integration needs, scale, and cost considerations.
Tip: If you’re unsure which level to attend, start with Beginners—you’ll get the foundations and hands-on practice to build confidence quickly.

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