Move from static content to immersive, AI-enhanced narratives that adapt dynamically to your learners’ needs. This program empowers trainers to craft AI-generated stories, leverage multimodal tools, and deploy live adjustments driven by real-time learner data and immersive technologies. By weaving emotion, flow, and interactivity, participants will elevate retention, inclusivity, and engagement—setting a new standard for impact-driven training.
- The neuroscience behind storytelling in learning
- Generative AI for narrative creation and prompt engineering
- Multimodal delivery: voice, video, visuals, and avatars
- Branching narratives and game-based story logic
- Real-time story adaptation using engagement analytics
- Story ethics: bias, authenticity, and representation
- XR-enhanced storytelling for audience immersion
- AI tools: ChatGPT, Murf, Synthesia, Colossyan, Twine
- Story engagement metrics: measuring impact and retention
- Emerging trends: metaverse narratives, AI storytellers, synthetic media agents
- Apply narrative science and neuroscience to enhance training impact
- Generate AI-driven stories tailored to learner personas
- Build multimodal story formats across voice, video, and visuals
- Design branching narrative modules and simulation story logic
- Adapt story delivery in real time using engagement metrics
- Audit stories for ethical representation and remove bias
- Create immersive XR storytelling experiences
- Analyze storytelling outcomes using data-driven metrics
Corporate trainers, L&D professionals, learning designers, instructional technologists, content creators, coaches, and facilitators aiming to innovate their training through AI-powered narrative strategies.
Participants learn through interactive storytelling labs, AI‑tool demos, prompt engineering, role-play simulations, and real-time data adaptation. The course emphasizes iterative design, peer feedback, and ethical review to ensure each narrative is impactful, inclusive, and resonant.
- The psychology of memory and narrative retention
- Story structure: arcs, empathy, metaphor in learning
- Narrative roles: hero’s journey, guides, and stakes
- Lab: Analyze and deconstruct powerful training stories
- Workshop: Design an engaging story-based intro
- AI storytelling tools: ChatGPT, StoryLab.ai, Canva AI
- Craft prompts for content, context, and tone
- Persona-driven narrative adaptation using learner data
- Lab: Generate short training stories with AI
- Peer review: assess narrative clarity and relevance
- Voice narratives with Murf/PlayHT, video with Synthesia, visuals via Midjourney/DALL·E
- Interactive story paths: tools like Twine & Articulate
- XR/AR storytelling essentials
- Lab: Build a multimodal story vignette
- Real-time adaptation: using feedback data to adjust narratives
- Tools for story analytics and UX adaptation
- Ethical best practices: bias detection and narrative audit
- Workshop: Inclusive storytelling audit
- Peer coaching: refine narratives based on data insights
- Embedding stories into LMS and training platforms
- Story-driven assessments and learner journals
- Capstone: create and deliver your own AI-powered story session
- Showcase with data-driven feedback
- Future-proofing: metaverse, AI influencers, and interactive narrative agents
Group & Corporate Discounts: Available for companies enrolling multiple participants to help maximize ROI. Individual Discounts: Offered to self-sponsored participants who pay in full and upfront. Registration Process: Corporate nominations must go through the client’s HR or Training department. Self-nominations must be prepaid via the “payment by self” option. Confirmation: All registrations are subject to DIXONTECH’s approval and seat availability. Refunds: Provided in case of course cancellation or no seat availability. Tax Responsibility: Clients are responsible for any local taxes in their country.