AI Video Generation for Digital Marketing Course

Lesson 1 • AI Video in Digital Marketing Context

Maps AI video capabilities to marketing objectives like awareness, engagement, and conversion. Connects technology potential to real campaign outcomes.

Lesson 2 • Overview of Leading AI Video Tools

Surveys the current landscape of AI video platforms by capability, output quality, and use case. Enables informed tool selection before hands-on practice begins.

Lesson 3 • Ethical and Legal Considerations

Introduces intellectual property, consent, and disclosure obligations relevant to AI-generated marketing video. Prepares students to produce compliant content from the start.

Lesson 1 • Prompting for Marketing Scenarios

Applies prompting skills to specific marketing formats: product demos, testimonials, social ads, and explainers. Bridges abstract technique to practical campaign deliverables.

Lesson 2 • Iterative Prompt Refinement

Teaches a structured feedback loop for diagnosing and improving unsatisfactory outputs. Builds the habit of systematic iteration over random experimentation.

Lesson 3 • Anatomy of an Effective Video Prompt

Breaks down prompt components: subject, action, style, mood, camera, and duration. Teaches students to construct prompts systematically rather than by trial and error.

Lesson 1 • Controlling Video Length and Format

Covers output duration, aspect ratio, resolution, and frame rate settings for different platforms. Ensures assets meet technical specs before editing begins.

Lesson 2 • Asset Organization and Storage

Introduces folder structures, metadata tagging, and cloud storage practices for AI video libraries. Supports scalable content production across multiple campaigns.

Lesson 3 • Quality Assessment and Selection

Teaches criteria for evaluating AI video outputs: motion coherence, visual fidelity, brand alignment, and usability. Prevents low-quality assets from entering the editing pipeline.

Lesson 1 • Color Correction and Visual Enhancement

Introduces color grading, brightness correction, and filter application to unify AI clip aesthetics. Ensures visual consistency across clips generated in separate sessions.

Lesson 2 • Exporting for Multiple Platforms

Covers codec selection, compression settings, and platform-specific export presets for social and web. Prevents quality loss and upload errors at the distribution stage.

Lesson 3 • Adding Text, Graphics, and Overlays

Teaches placement of titles, lower thirds, captions, and branded graphics on AI video. Reinforces brand identity and improves accessibility across platforms.

Lesson 4 • Editing AI Clips in a Timeline

Covers importing, trimming, sequencing, and pacing AI-generated clips in a video editor. Establishes the core editing skills needed for all subsequent production work.

Lesson 1 • Adapting Brand Video for Platforms

Teaches how to reformat and restyle brand video for different social and digital channels without losing identity. Maximizes asset reach while preserving brand integrity.

Lesson 2 • Maintaining Consistency Across Campaigns

Covers techniques for ensuring visual and tonal coherence when producing video across multiple campaigns or team members. Prevents brand drift at scale.

Lesson 3 • Defining a Brand Video Style Guide

Guides students in documenting color palettes, typography, tone, and visual motifs for AI video use. A style guide becomes the reference for all subsequent production decisions.

Lesson 1 • YouTube and Long-Form Content

Applies AI video generation to longer YouTube content, including intros, b-roll, and chapter visuals. Teaches integration of AI clips with live footage for hybrid production.

Lesson 2 • Social Media Short-Form Video

Covers production of vertical, fast-paced AI video for short-form social platforms. Addresses hook design, caption strategy, and algorithmic best practices.

Lesson 3 • Paid Social and Display Advertising

Teaches creation of AI video ads optimized for paid social placements, including spec compliance and creative testing. Connects video production to performance marketing goals.

Lesson 4 • Email and Landing Page Video

Covers embedding AI video in email campaigns and landing pages to boost engagement and conversion. Addresses file size, autoplay rules, and thumbnail optimization.

Lesson 1 • Principles of Video Personalization

Introduces dynamic video personalization concepts: audience segmentation, variable content, and relevance signals. Establishes the strategic rationale before technical implementation.

Lesson 2 • Scaling Production Without Losing Quality

Addresses quality control, team coordination, and process automation when producing large video volumes. Prevents quality degradation as output quantity increases.

Lesson 3 • Audience Segmentation and Targeting

Teaches how to map video variants to audience segments using CRM data, behavioral signals, and demographics. Connects personalized video to measurable marketing outcomes.

Lesson 1 • Setting Up Tracking and Analytics

Covers pixel placement, UTM parameters, and platform analytics dashboards for AI video campaigns. Ensures accurate data collection before optimization decisions are made.

Lesson 2 • Iterative Campaign Optimization

Covers the cycle of analyzing performance data, identifying underperforming assets, and regenerating improved AI video. Closes the loop between production and results.

Lesson 3 • A/B and Multivariate Creative Testing

Teaches structured testing of video creative variables: hooks, CTAs, duration, and style. Builds a systematic approach to improving video performance through evidence.

Lesson 4 • ROI Calculation for AI Video

Teaches cost-benefit analysis specific to AI video production, including time savings, CPM efficiency, and revenue attribution. Justifies AI video investment to decision-makers.