AI Graphic Design Course

Lesson 1 • What AI Graphic Design Means

Defines AI-assisted design and distinguishes it from traditional methods. Establishes the conceptual baseline for all subsequent tool-based learning.

Lesson 2 • Design Principles Every AI User Needs

Reviews core visual design principles—hierarchy, contrast, balance, and colour—as applied within AI outputs. Ensures aesthetic judgment guides tool use from the start.

Lesson 3 • Setting Up Your AI Design Workspace

Guides account creation, interface navigation, and file management across primary platforms. Removes technical barriers so students can focus on creative tasks.

Lesson 4 • Overview of Leading AI Design Platforms

Surveys major AI image and layout generation platforms by capability category. Students gain orientation before committing to hands-on practice.

Lesson 1 • Composition and Framing Through Prompts

Covers camera angle, aspect ratio, focal point, and spatial arrangement as prompt parameters. Students direct composition the way a photographer or art director would.

Lesson 2 • Advanced Prompt Techniques

Explores prompt weighting, multi-concept blending, and chained prompts for complex scenes. Prepares students for professional-grade output control.

Lesson 3 • Iterative Prompting and Refinement

Introduces systematic prompt iteration to progressively improve outputs. Students practice diagnosing weak results and adjusting variables methodically.

Lesson 4 • Controlling Style and Aesthetic

Teaches how to invoke specific art movements, colour palettes, and visual tones through targeted language. Connects prompt vocabulary to recognisable design aesthetics.

Lesson 1 • Evaluating and Selecting AI Outputs

Teaches objective criteria for assessing image quality, relevance, and usability against a design brief. Students develop a consistent curation eye.

Lesson 2 • Upscaling and Enhancing AI Images

Covers AI-powered upscaling, detail enhancement, and noise reduction to prepare images for print and screen. Bridges generation and production-ready output.

Lesson 3 • Inpainting and Outpainting Techniques

Introduces selective region editing and canvas expansion to fix or extend generated images. Gives students precise control over specific image areas.

Lesson 4 • Building a Curated Asset Library

Guides students in organising, tagging, and storing approved AI assets for reuse across projects. Establishes professional asset management habits.

Lesson 1 • Automated Content Placement

Explores AI tools that auto-place text, images, and graphic elements within a layout. Students learn to guide and override automated placement decisions.

Lesson 2 • Grid Systems and AI Layout Tools

Reviews grid-based design theory and maps it to AI layout suggestion features. Students use AI to accelerate grid construction without losing structural discipline.

Lesson 3 • Colour Palette Generation and Application

Generates brand-aligned colour palettes using AI tools and applies them consistently across layouts. Students practice colour harmony and contrast in real compositions.

Lesson 4 • Typography Pairing with AI Assistance

Uses AI font-pairing tools to select and combine typefaces that reinforce brand tone. Connects typographic choices to overall layout harmony.

Lesson 1 • Logo Concept Generation with AI

Generates diverse logo concepts using text-to-image and vector AI tools, then refines top candidates. Students practice rapid ideation and concept selection.

Lesson 2 • Developing a Brand Colour System

Builds a primary, secondary, and neutral colour system using AI palette tools and brand strategy inputs. Students document colour values for consistent cross-platform use.

Lesson 3 • Creating a Brand Style Guide

Compiles all brand elements into a structured style guide document using AI layout tools. Students produce a deliverable that clients and teams can apply independently.

Lesson 4 • Brand Typography and Iconography

Selects brand typefaces and generates a custom icon set using AI illustration tools. Establishes visual consistency across all brand touchpoints.

Lesson 1 • AI-Powered Copywriting Integration

Combines AI image generation with AI text tools to produce complete social posts. Students practice aligning visual and verbal messaging within a single workflow.

Lesson 2 • Designing Reusable AI Templates

Builds modular, brand-consistent templates that accept AI-generated imagery and copy variations. Enables high-volume content production without sacrificing consistency.

Lesson 3 • Batch Content Production Workflows

Automates repetitive content tasks using bulk generation, template population, and scheduling tools. Students produce a full content calendar's worth of assets efficiently.

Lesson 4 • Platform Specifications and Visual Strategy

Maps dimension, format, and aesthetic requirements across major social platforms. Students align AI output settings with platform-specific visual strategies.

Lesson 1 • Multi-Layer Compositing Techniques

Assembles multiple AI and photographic assets into a unified, believable composite image. Students apply blending modes, shadows, and colour grading for realism.

Lesson 2 • Background Removal and Subject Isolation

Uses AI-powered selection and masking tools to cleanly isolate subjects from AI-generated backgrounds. Prepares assets for compositing into new scenes.

Lesson 3 • Creating Surreal and Conceptual Composites

Pushes compositing skills into creative territory by combining AI imagery for conceptual and editorial work. Students develop a signature visual style through experimentation.

Lesson 4 • Integrating AI Assets into Editing Software

Imports AI-generated images into professional raster and vector editors for further refinement. Establishes the hybrid AI-plus-manual workflow as a professional standard.

Lesson 1 • Pricing and Positioning AI Design Services

Guides students in valuing AI-assisted work, structuring service packages, and communicating AI's role in pricing. Prepares graduates to compete confidently in the market.

Lesson 2 • Presenting AI Design Work to Clients

Covers presentation structure, mockup creation, and how to explain AI's role in the design process. Builds client confidence and manages perceptions of AI-generated work.

Lesson 3 • Scoping and Briefing AI Design Projects

Translates client briefs into structured AI design plans with defined deliverables and timelines. Prevents scope creep and aligns expectations before production begins.

Lesson 4 • Quality Assurance Before Delivery

Applies a pre-delivery checklist covering resolution, colour profiles, file formats, and brand compliance. Eliminates errors that damage professional reputation.