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End-to-End AI Literacy Course
Built from scratch to rapidly train teams on core AI principles. Designed using grounded instructional design strategies, custom visual assets, and multimodal learning formats driven by stakeholder input. I used generative AI for rapid prototyping and asset drafting, followed by human refinement to ensure clarity and quality.
Role: Lead Instructional Designer & Content Developer
Scope: End-to-end design, asset creation, and layout
Methodology: Instructional design principles aligned with stakeholder input
Tools & Process: AI-assisted rapid prototyping with complete human editing and quality control
Deliverables: Course dashboard, slide decks, resource guides, audio summaries, and video walkthroughs
Project Overview
I designed and developed this comprehensive AI Literacy Course from scratch to rapidly upskill team members on generative AI basics. A self‑paced, learner‑centered AI literacy microlearning curriculum for business colleagues. Designed under a rapid turnaround for staff using primarily internal tools, this course includes a detailed facilitator guide, script, and resource pack to support both facilitators and diverse learners through multimodal assets (slides, how‑to videos, podcast‑style audio, and brief video explainers) that make responsible, effective use of generative AI immediately actionable at work.
Key Highlights
Instructional Strategy: Built using instructional design models, principles, and theories tailored directly to stakeholder requirements and audience needs.
Multimodal Learning: Created slide decks, interactive guides, audio summaries, video explainers, and step-by-step videos to support diverse learning styles.
End-to-End Execution: Designed every asset, layout, and document to create a cohesive user experience.
AI-Assisted Workflow: Used AI for rapid prototyping and asset generation, maintaining direct human oversight to refine and finalize all content.
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