AI-Powered Training Videos
- Tools:
Overview
Over the past 14 years, I’ve designed and produced educational media for corporate partners and learning and development teams, often as part of large, multi-layered learning systems.
Much of that work lives behind client and institutional permissions, so this page is set up as a Representative Media Lab. It brings together short video examples that show how I think about learning media and how I build it using AI.
Every video featured here was intentionally recreated or newly produced using AI-first workflows, from avatar instructors and animation to audio, editing, and post-production. The goal is to highlight both instructional strategy and modern AI production skills in practical way.
Why AI-Based Video Production?
I use AI in video production to move faster, scale more easily, and iterate without compromising instructional quality. The focus is practical implementation that support real learning goals, including:
- Avatar-based talent to maintain consistency and scale across content
- AI-assisted animation and motion design to clarify complex ideas
- AI-generated audio to support rapid iteration and updates
- AI-supported editing workflows to speed up production and versioning
This approach reflects how I design learning media today, using AI as a production partner rather than a replacement for instructional intent.
My Role
My role encompassed project leadership, graphic design, and eLearning development.
Pre-Production: Using AI to Conceptualize
At the start of each media project, I focus on getting clear on the instructional goal, the audience, and where the video will live. Before anything is produced, I use AI to think through the structure, flow, and message so the video is built with purpose from the beginning.
In pre-production, I use AI to:
- Draft and refine scripts aligned to learning outcomes
- Map out scenes and storyboards for pacing and clarity
- Test different narrative approaches and visual ideas
- Iterate on tone, voice, and structure before production begins
Tools I commonly use at this stage include:
- ChatGPT (GPT-5 family) for scripting and content refinement
- Gemini 1.5 Pro for storyboarding, scene planning, and narrative flow
Using AI early helps me move faster, reduce rework, and make smarter decisions before production starts.
Production: Building the Assets with AI
During production, I use AI to generate the core media assets that bring each video to life. This includes everything from instructors or talent to visuals, audio, and motion elements.
At this stage, I use AI to:
- Create avatar-based instructors and presenters
- Generate animated scenes and visual sequences
- Produce or enhance voice and audio tracks
- Build supporting visuals, motion elements, and transitions
Tools I commonly use during production include:
- Nano Banana Pro and Kling O1 for avatar and presenter creation
- Midjourney V7 for graphics, visuals, or motion graphic elements
- ElevenLabs V3 for AI-generated or enhanced voice and audio
- Mix of Google Veo 3.1, Kling 2.6, Kling AI Motion Control, Higgsfield Vibe Motion, and OpenAI Sora 2 Pro for video clip and scene generation
Rather than treating these tools as standalone solutions, I use them together as part of a coordinated production workflow, selecting each tool based on the instructional goal of the video rather than novelty.
Post-Production: Bringing It All Together
In post-production, I bring all of the AI-generated assets together using professional editing tools like Adobe Premiere Pro and Adobe After Effects.
At this stage, I focus on:
- Editing for pacing, clarity, and learner engagement
- Integrating animation, audio, and visual layers into a cohesive flow
- Applying motion graphics, titles, and visual consistency
- Finalizing exports optimized for LMS or web delivery
This final phase turns individual AI-generated components into polished, intentional learning media that is ready for real-world use.
Video Samples
A curated set of video segments, each showcasing AI-driven production techniques.
1) A Smarter Way to Talk to AI
Video segment explains how generative AI works and how to communicate with it. A podcaster-style format pairs an avatar instructor with motion graphics to reinforce key ideas.
AI Tools Used:
ChatGPT GPT-5 (scripting), Gemini 1.5 Pro (storyboarding), Nano Banana Pro (avatar presenter), ElevenLabs V3 (audio narration), Midjourney V7 (graphic elements), Google Veo 3.1 (avatar video clips), Higgsfield Vibe Motion (motion graphics)
2) A Day in the Life of a Project Manager
Video follows a project manager through a typical workday. A documentary-style format uses storytelling and b-roll to reinforce decision making through a case study.
AI Tools Used:
ChatGPT GPT-5 (scripting), Gemini 1.5 Pro (storyboarding), Nano Banana Pro (avatar presenter), ElevenLabs V3 (audio narration), Kling AI 2.6 (avatar video clips, B-roll generation)
3) What Makes a Great Leader?
Video segment explores effective leadership of diverse teams. An avatar-led talking-head format with animation highlights key concepts and practical behaviors.
AI Tools Used:
ChatGPT GPT-5 (scripting), Gemini 1.5 Pro (storyboarding), Nano Banana Pro (avatar presenter), ElevenLabs V3 (audio narration), Midjourney V7 (graphic elements), Google Veo 3.1 (avatar video clips), Higgsfield Vibe Motion (motion graphics)
4) How to Get People to Listen
Video segment explores how to be heard during difficult workplace conversations. An avatar talking-head format with shifting camera angles to showcase communication examples.
AI Tools Used:
ChatGPT GPT-5 (scripting), Gemini 1.5 Pro (storyboarding), Nano Banana Pro (avatar presenter), ElevenLabs V3 (audio narration), Kling AI 2.6 (avatar video clips)