AI Powered Interactions with AIReady PracticeLayer Masterclass

About this masterclass

What this session covers

Imagine training that feels like one-on-one coaching: learners practise real-world conversations, get instant feedback, and receive support tailored to what they actually said. Getting a coach to behave reliably is a design problem far more than a technical one. In this masterclass you build your own AI coach or roleplay in AIReady PracticeLayer, Artha’s AI practice layer for learning, and the principles apply on any platform.

This masterclass is practical and hands-on rather than technical. Over 2.5 hours of live virtual instruction you will work through the outcomes below, using one skill or conversation your learners need to practise as the raw material.

Learning outcomes

You’ll leave able to

• Design AI roleplays, simulations, and coaches that serve a defined learning objective.
• Write personas and guardrails that keep a character consistent and in role, even when learners try to derail it.
• Build a rubric grounded in real standards, so the coach scores open-text responses and returns specific, defensible feedback.
• Test for the failure modes that matter: drifting out of role, over-praising, leaking answers, and unsafe content.
• Build a working coach during the session and place it in a Storyline or Rise course, or in your LMS.

Audience

Who it is for

People building practice-heavy or skills-based learning:

• Instructional designers and developers
• L&D teams responsible for skills practice
• Sales enablement and customer service trainers
• Leadership and communication program owners
• Corporate trainers and HR professionals
• Compliance and ethics training designers

Less suitable for participants looking for an introduction to prompting. This session assumes you have written prompts before.

Tools

Tools used

Run inside AIReady PracticeLayer. Participants get access for the hands-on build, so no account or licence is needed in advance. Bring:

• A laptop with a current web browser
• Optionally, a browser-based assistant (ChatGPT, Claude, Google Gemini, Microsoft Copilot, or another approved platform) for drafting prompts and rubrics

No coding environment is required. Connecting custom AI interactions to other platforms through an API is demonstrated live.

Before you join

Prerequisites

No programming, data-science, or technical AI development experience is required. Participants should:

• Have a basic understanding of generative AI
• Bring a laptop for hands-on activities
• Come prepared with one skill or conversation your learners need to practise
• Use only non-confidential, anonymized, or organization-approved information during activities

Keep exploring

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• Turn Static Training Into Dynamic Practice
• Branching Scenarios: A Complete Guide to Interactive Learning
• Vibe Coding for Training and L&D