Advertising Photography with Artificial Intelligence Course

Lesson 1 • Core Visual Principles for Ads

Covers composition, colour theory, and visual hierarchy as applied to advertising contexts. Students use these principles to evaluate and plan effective advertising images.

Lesson 2 • Industry Roles and Workflows

Maps the typical advertising production team and each member's responsibilities. Students understand where the photographer fits within the broader creative process.

Lesson 3 • Reading and Deconstructing Ad Images

Trains systematic visual analysis of successful advertising campaigns. Students apply a structured critique framework to identify what makes an image commercially effective.

Lesson 1 • Tethered Shooting and Live Review

Teaches connecting a camera to a computer for real-time image review during a shoot. Students use tethering to speed up client approvals and catch technical issues early.

Lesson 2 • Studio Setup and Equipment Selection

Covers sweep backgrounds, shooting tables, grip equipment, and lens selection for common advertising categories. Students configure a versatile studio for multiple product types.

Lesson 3 • Camera Settings for Commercial Work

Explains aperture, shutter speed, ISO, and white balance in the context of product and lifestyle advertising. Students gain full manual control for predictable, repeatable results.

Lesson 4 • Lighting Fundamentals for Advertising

Introduces continuous and strobe lighting, modifiers, and light ratios used in commercial studios. Students build and adjust a three-point lighting setup for product shots.

Lesson 1 • Categories of AI Tools in Photography

Maps the landscape of AI tools by function: generation, enhancement, retouching, and background replacement. Students match tool categories to specific advertising production needs.

Lesson 2 • How AI Image Generation Works

Explains diffusion models, training data, and latent space in plain language relevant to photographers. Students gain enough technical literacy to use AI tools confidently and critically.

Lesson 3 • Integrating AI into Existing Workflows

Shows how AI tools slot into pre-production, on-set, and post-production stages without disrupting established processes. Students map AI touchpoints onto a real project timeline.

Lesson 1 • Anatomy of an Effective Visual Prompt

Breaks down the components of a strong image prompt: subject, style, lighting, mood, and technical specs. Students write prompts that reliably produce commercially usable images.

Lesson 2 • Advanced Prompt Structures

Introduces weighted prompts, multi-concept blending, and regional prompting for complex advertising scenes. Students produce multi-element compositions that match a detailed art direction.

Lesson 3 • Style and Reference Control Techniques

Covers style references, image-to-image prompting, and seed control for consistent visual output. Students replicate a defined visual style across a series of AI-generated images.

Lesson 4 • Prompt Libraries and Reusable Templates

Teaches building a personal prompt library organised by product category and visual style. Students create a reusable template set that accelerates future advertising projects.

Lesson 1 • Lighting and Composition Pre-Visualisation

Creates AI previsualisation images to plan lighting setups and compositional choices before the shoot day. Students arrive on set with a clear visual target, reducing setup time.

Lesson 2 • Virtual Set and Location Scouting

Generates photorealistic environment concepts to evaluate set design and location options before booking. Students use AI environments to reduce costly location scouting trips.

Lesson 3 • Concept Visualisation and Storyboarding

Uses AI to visualise campaign concepts and rough storyboards before committing to a full production. Students translate abstract ideas into visual sequences for client approval.

Lesson 1 • Colour Grading with AI Assistance

Combines traditional colour grading techniques with AI-powered look matching and palette generation. Students apply a consistent colour grade across a multi-image advertising campaign.

Lesson 2 • AI-Powered Retouching Workflows

Covers AI skin retouching, object removal, and blemish correction tools integrated into standard editing software. Students retouch a product and lifestyle image to advertising standards.

Lesson 3 • Generative Compositing for Complex Scenes

Uses inpainting and generative AI to add, replace, or modify scene elements in complex advertising composites. Students build a multi-element composite that would be impractical to shoot practically.

Lesson 4 • Background Replacement and Extension

Uses AI masking and generative fill to replace or extend backgrounds seamlessly in advertising images. Students composite a product onto multiple AI-generated backgrounds for a campaign.

Lesson 1 • Product Photography with AI Support

Combines controlled studio technique with AI pre-visualisation and post-production for packaged goods and hard products. Students shoot and retouch a product campaign to client-ready standard.

Lesson 2 • Lifestyle and People-Centered Campaigns

Focuses on authentic storytelling, candid direction, and AI background enhancement for lifestyle advertising. Students shoot a lifestyle campaign that communicates a brand's aspirational identity.

Lesson 3 • Fashion and Beauty Advertising

Addresses model direction, garment styling, and AI retouching ethics for fashion and beauty campaigns. Students produce a fashion advertising image with AI-enhanced skin and colour grading.

Lesson 4 • Campaign Consistency Across Deliverables

Teaches maintaining visual cohesion across multiple images, formats, and platforms within a single campaign. Students deliver a consistent image set adapted for print, social, and digital advertising.

Lesson 1 • Pricing and Positioning AI Services

Guides photographers in pricing AI-enhanced services, communicating value to clients, and positioning against competitors. Students build a service menu with rationale for each price point.

Lesson 2 • Ethics of AI in Advertising Photography

Examines disclosure obligations, representation concerns, and authenticity standards when using AI in commercial imagery. Students draft an ethical use policy for their own practice.

Lesson 3 • Intellectual Property and AI Imagery

Covers ownership questions, training data rights, and licensing considerations specific to AI-generated advertising images. Students identify IP risks in common AI workflow scenarios.

Lesson 4 • Staying Current in a Rapidly Evolving Field

Establishes habits for tracking AI tool releases, industry shifts, and emerging advertising formats. Students create a personal learning plan to maintain competitive relevance over time.