Creating Videos with Artificial Intelligence Course

Lesson 1 • The AI Video Production Landscape

Survey the current ecosystem of AI video tools and their capabilities. Establishes shared vocabulary and mental models used throughout the course.

Lesson 2 • How AI Video Models Work

Explain the underlying mechanics of diffusion models and transformers powering video generation. Connects technical understanding to practical creative decisions.

Lesson 3 • Core Output Formats and Quality Metrics

Identify resolution, frame rate, codec, and aspect ratio standards for AI video outputs. Prepares students to evaluate and export work to professional specifications.

Lesson 1 • Responsible Use Policies and Governance

Implement organizational policies for ethical AI video production and approval workflows. Prepares students to lead responsible AI adoption within teams and client relationships.

Lesson 2 • Bias, Representation, and Inclusive Content

Recognize and mitigate demographic bias embedded in AI video generation models. Produces content that reflects diverse audiences and avoids harmful stereotyping.

Lesson 3 • Intellectual Property in AI-Generated Video

Understand how training data, output ownership, and derivative works apply to AI video. Equips students to make legally informed decisions about commercial use of generated content.

Lesson 1 • Iterative Prompt Refinement

Develop a systematic process for diagnosing prompt failures and improving outputs. Builds the diagnostic mindset essential for efficient AI video production.

Lesson 2 • Anatomy of an Effective Video Prompt

Break down the structural components of high-performing video prompts. Provides a repeatable framework applied in every subsequent generation exercise.

Lesson 3 • Advanced Prompt Structures and Chaining

Combine multi-part prompts and sequential generation calls to produce complex scenes. Prepares students for multi-shot storytelling covered in later chapters.

Lesson 4 • Style and Aesthetic Prompt Techniques

Apply cinematic, artistic, and brand-aligned style references within prompts. Enables consistent visual identity across multi-clip projects.

Lesson 1 • Preparing Source Images for AI Animation

Optimize still images for use as video generation inputs across major platforms. Establishes quality standards that prevent downstream generation artifacts.

Lesson 2 • Combining Image and Text Inputs

Blend image references with text prompts to achieve precise creative control. Unlocks hybrid workflows that outperform either input type used alone.

Lesson 3 • Style Transfer and Visual Consistency

Use reference images to enforce consistent visual style across multiple generated clips. Critical for brand-aligned and series-based video projects.

Lesson 1 • AI Text-to-Speech for Voiceover

Generate natural-sounding narration using AI voice synthesis tools. Covers voice selection, pacing control, and emotional tone adjustment for professional delivery.

Lesson 2 • Synchronizing Audio with Video Clips

Align voiceover, music, and sound effects precisely to video timelines. Establishes the editing discipline required for polished final deliverables.

Lesson 3 • Sound Design and Effects Enhancement

Add foley, transitions, and atmospheric effects to elevate perceived production value. Teaches the audio layer that most distinguishes amateur from professional AI video.

Lesson 1 • Export Settings and Delivery Formats

Configure export presets for social media, broadcast, and web delivery channels. Ensures every finished video meets platform-specific technical requirements.

Lesson 2 • Titles, Graphics, and Motion Design

Add AI-generated and template-based titles, lower thirds, and animated graphics. Completes the professional presentation layer required for client-ready deliverables.

Lesson 3 • AI-Assisted Editing Workflows

Use AI editing tools to automate cut selection, pacing, and scene assembly. Reduces manual editing time while maintaining creative control over the final sequence.

Lesson 4 • Upscaling and Frame Interpolation

Enhance resolution and smooth motion using AI upscaling and interpolation tools. Enables low-resolution AI outputs to meet broadcast and streaming quality standards.

Lesson 1 • Storyboarding for AI Video Production

Translate creative concepts into structured storyboards that guide AI generation. Prevents costly regeneration cycles by resolving creative decisions before production begins.

Lesson 2 • Narrative Structure and Pacing

Apply storytelling frameworks to sequence AI-generated clips into engaging narratives. Connects video production craft to audience engagement and message retention.

Lesson 3 • Maintaining Visual Continuity Across Clips

Apply consistency techniques to ensure characters, environments, and lighting match across scenes. Solves the primary quality challenge in multi-clip AI video projects.

Lesson 1 • Platform-Specific Video Requirements

Map AI video output specifications to the technical and cultural norms of major content platforms. Ensures generated content performs within each platform's algorithm and audience expectations.

Lesson 2 • Measuring Video Performance and Iterating

Use engagement data to evaluate AI video effectiveness and refine future production decisions. Closes the loop between creative output and strategic marketing goals.

Lesson 3 • Scalable Content Production Workflows

Design repeatable systems for producing high volumes of AI video content efficiently. Addresses the operational challenge of consistent quality at scale.