Overview
This course equips professionals with the skills to use ChatGPT’s image generation capabilities as a fast, integrated, and cost-effective solution for creating business graphics. Participants will learn to produce on-brand, good-enough visuals for presentations, training materials, social media, logos, and more—without needing specialized design software. Through hands-on projects, structured prompt engineering, and brand integration strategies, attendees will gain the ability to efficiently generate, refine, and organize images for professional use.

The program emphasizes practical business applications, brand consistency, and workflow integration, while providing a realistic understanding of current capabilities and limitations. By the end, participants will be able to confidently generate and manage image assets directly within ChatGPT to support ongoing projects and campaigns.

Prerequisites
Basic familiarity with ChatGPT’s interface is recommended. No prior design experience is required.

COURSE OUTLINE

Welcome, Setup & Reality Check
Objectives: what we can do today vs. what’s better in specialist tools
Confirm access, quick tour of Image Gen + Editor
Projects: why to generate inside a Project (organization, reuse)
Load brand assets (hex colors, logos, references) into the Project

Foundations & Limitations
How image generation works (high level, model-agnostic)
Strengths: speed, integration, zero extra cost, “good enough” results
Shortfalls: limited steer-ability; no true outpainting/zoom-out; style drift; no layers
Policy basics: copyright, likeness, disclosures, brand rules

Image Prompt Engineering Essentials
Prompt anatomy: subject + style + modifiers + composition + constraints
Aspect/size guidance for slides, web, LinkedIn, thumbnails
Iteration loop: generate → critique → refine (what to change each pass)
Hands-on: 1 object, 3 style variations

Structured vs. Natural Prompts
Why structured inputs (JSON/table) improve control & reuse
Convert a messy request → structured prompt → consistent outputs
Save templates in Projects; naming/versioning conventions
Exercise: teams rewrite natural prompts into structured ones and run both

Brand Standards in Practice
Embedding brand colors (hex), logo reference, voice/tone descriptors
Patterns for on-brand series: slide covers, icons, backgrounds
Troubleshooting color drift & logo distortion; when to re-gen vs. edit
Export to PPT/Canva/LMS; LinkedIn spec shortcuts (e.g., 1200×627)

Editing That Actually Works Today
What works reliably: background replace, element swaps, transparent PNG cutouts, minor fixes
What’s limited: true outpainting/scene expansion; exact pixel edits
Using the brush tool: targeted replace with “keep style/lighting” language
“Combine concepts” workaround: re-gen with multiple references
Lab: isolate subject → export transparent PNG → place in slide mock

Consistency & Character Sets
Reduce drift: reuse full prompt, include brand hex, repeat style cues
Reference-image anchoring for recurring characters/mascots
Build small icon sets and persona series with consistent style
When to accept small variance vs. when to reset

Business Applications Deep Dive
Presentation & training graphics (covers, section dividers, diagrams)
Social visuals (LinkedIn post/header, blog hero, newsletter art)
Logo ideation & event badges (quick concepts, not final marks)
Transparent overlays for web/video
Decision sheet: stay in ChatGPT vs export to Canva/Photoshop

Library & Projects + Prompt-Builder App
Library tour: thumbnails, style picker, hide/unhide, iterate from saved
Projects as “pseudo-folders” (campaigns/clients); share & archive
Visual Prompt Menu: swatches for Styles, Lighting, Aspect, Composition, Extras, Art Medium, Era/Culture, Mood/Tone, Surface/Texture, Output/Integration