AI-powered visual creation
AI for Image and Video Generation
Create stronger visual concepts, images, and short video outputs by structuring prompts for subject, style, mood, composition, motion, consistency, iteration, brand alignment, and responsible creative use.
Build practical capability in AI for Image and Video Generation.
Create stronger visual concepts, images, and short video outputs by structuring prompts for subject, style, mood, composition, motion, consistency, iteration, brand alignment, and responsible creative use.
Structure effective visual prompts using subject, intent, style, mood, composition, and constraints.
Generate and refine images for social media, advertising, concepts, and visual mockups.
Describe scenes, motion, camera behavior, and technical requirements for AI-generated video.
Integrate AI visuals into human-led creative workflows with quality, copyright, and brand controls.
Course overview
A structured, application-focused AI program. Open each topic to review its practical coverage.
1. Introduction to AI in Visual Creation
- Overview of AI-powered image and video generation tools
- Where AI fits in the creative workflow (ideation, drafts, variations, not final polish)
2. Core Principles of Visual Prompting
- How AI interprets visual prompts
- Differences between:
3. Prompting for Image Generation
- Structuring image prompts:
- Subject and focal point
4. Prompting for Video Generation
- How video prompting differs from image prompting
- Describing motion and action clearly
5. Iteration, Consistency, and Refinement
- Improving outputs through prompt iteration
- Using reference styles to guide consistency
6. Integrating AI into Creative Workflows
- Using AI for:
- Creative exploration
7. Best Practices, Ethics, and Practical Limits
- Quality control and human review
- Copyright and originality considerations
Full course outline
This restructured outline uses the strongest applicable topics from the legacy AI programs while removing unnecessary overlap.
View full outline
- 1. Introduction to AI in Visual Creation
- Overview of AI-powered image and video generation tools
- Where AI fits in the creative workflow (ideation, drafts, variations, not final polish)
- Strengths and limitations of AI-generated visuals
- Common misconceptions about "one-prompt perfect outputs"
- 2. Core Principles of Visual Prompting
- How AI interprets visual prompts
- Differences between:
- Text prompts vs visual prompts
- Human creative intent vs AI interpretation
- Essential components of an effective visual prompt:
- Subject and intent
- Style and references
- Mood and emotion
- Constraints and exclusions
- 3. Prompting for Image Generation
- Structuring image prompts:
- Subject and focal point
- Art style (photorealistic, illustration, flat, 3D, cinematic)
- Mood, lighting, and color palette
- Composition and framing
- Aspect ratio and resolution
- Prompting for marketing visuals:
- Social media graphics
- Ads and banners
- Concept visuals and mockups
- Common image prompting mistakes and how to fix them
- Structuring image prompts:
- 4. Prompting for Video Generation
- How video prompting differs from image prompting
- Describing motion and action clearly
- Defining scenes:
- Environment and background
- Subject movement
- Camera angle and camera movement
- Prompting for:
- Short marketing clips
- Social media reels
- Intro and transition sequences
- Understanding technical and creative limits of AI video tools
- 5. Iteration, Consistency, and Refinement
- Improving outputs through prompt iteration
- Using reference styles to guide consistency
- Maintaining visual consistency across:
- Multiple images
- Video scenes or clips
- When to regenerate vs when to manually edit
- 6. Integrating AI into Creative Workflows
- Using AI for:
- Creative exploration
- Concept pitching
- Speeding up production
- Combining AI outputs with traditional design and editing tools
- Creating reusable prompt templates for teams
- Collaboration between designers, editors, and marketers using AI outputs
- Using AI for:
- 7. Best Practices, Ethics, and Practical Limits
- Quality control and human review
- Copyright and originality considerations
- Brand consistency and misuse risks
- Responsible use of AI-generated visuals in marketing