Curriculum
What you'll learn
Explore the frontier of AI-generated and AI-assisted video production. From script-to-video pipelines and automated editing to lip sync, video enhancement, and asset management workflows — this track prepares media and marketing teams for the next wave of video content creation.
Script-to-video
Editing automation
Asset management
Lip sync
Video enhancement
After this track, you'll be able to
Evaluate AI video generation platforms against your production quality and brand requirements
Design script-to-video workflows that combine AI generation with human creative direction
Implement AI-assisted editing automation for repetitive post-production tasks
Navigate the ethical and legal requirements for synthetic media disclosure and distribution
Build asset management workflows that track AI-generated content provenance and licensing
Assess the cost-quality trade-offs of AI versus traditional video production for specific use cases
Audience
Who this track is for
Video Producers
Content Marketing Managers
Social Media Directors
Creative Technologists
Communications Leads
By the Numbers
Why this matters now
The data behind this topic's growing importance.
$2.4B
projected AI video generation market by 2028, growing at 52% CAGR
Grand View Research — Generative AI in Media Market80%
of internet traffic will be video by 2027, intensifying demand for production efficiency
Cisco — Visual Networking Index 202470%
reduction in production time for social media video content using AI-assisted workflows
Forrester — AI in Content Production 2024Frequently Asked Questions
Common questions
Is AI video generation ready for professional production use?
For specific use cases, yes — product demos, social media shorts, training videos, and personalized sales content are being produced with AI today. For brand campaigns, narrative content, and high-production-value work, AI currently serves best as an accelerator (storyboarding, rough cuts, B-roll generation) rather than an end-to-end replacement. This track teaches you to evaluate where AI fits in your production workflow.
Which AI video platforms does this training cover?
The principles apply across Sora, Runway, Pika, Synthesia, HeyGen, and emerging platforms. We focus on understanding the underlying capabilities and limitations of different approaches (diffusion-based generation, lip-sync avatars, editing automation) so you can evaluate any platform against your specific needs.
What are the legal risks of using AI-generated video commercially?
Legal risks include deepfake liability, unclear copyright ownership, talent likeness rights, and platform-specific disclosure requirements. This track covers the current regulatory landscape and provides practical frameworks for risk assessment, disclosure policies, and content provenance tracking.
How do we manage AI video assets alongside traditional production assets?
AI-generated content introduces new metadata requirements: model version, prompt history, generation parameters, licensing status, and disclosure flags. This track covers asset management workflows that integrate AI provenance tracking into existing DAM systems, ensuring your team maintains control as AI content scales.
Keep Learning
Related tracks
Continue building your AI skills with these complementary tracks.
Prompt Engineering
Few-shot, chain-of-thought, structured output
GenAI Image
Diffusion models, prompt composition, brand guidelines
GenAI Audio
Voice cloning, localisation, quality assurance
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