
AI Graphic Design Course
Master AI-powered graphic design from prompt engineering to professional client delivery. This course gives you the tools, workflows, and creative skills to produce stunning visuals, build brand identities, and run a competitive design practice. Whether you are starting out or levelling up, this is the most complete AI design training available.
What you will learn:
You will learn how to use leading AI design platforms to generate, refine, and deliver professional-quality visual assets. The course covers prompt engineering, image curation, layout composition, and brand identity development from start to finish. You will build repeatable workflows for social media content, advanced compositing, and client-ready deliverables. Supplementary modules introduce motion graphics, UI design, 3D visualisation, and creative direction. You will also learn how to price your services, build a portfolio, and grow a sustainable AI design business.
How you study in practice AI Graphic Design Course
How you practise AI Graphic Design Course
For businesses looking to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of AI Graphic Design
Foundations of AI Graphic Design
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 5 • Ethical and Legal Basics of AI Art
Introduces intellectual property considerations, model training data concerns, and responsible use policies. Prepares students to work within professional and ethical boundaries.
Chapter 2HideHide detailsSee detailsPrompt Engineering for Visual Output
Prompt Engineering for Visual Output
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 practise 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 5 • Anatomy of an Effective Visual Prompt
Breaks down prompt structure into subject, style, medium, lighting, and mood components. Students learn how each element shapes the generated image.
Chapter 3HideHide detailsSee detailsImage Generation and Curation
Image Generation and Curation
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 5 • Running Effective Generation Sessions
Establishes a structured workflow for batch generation, parameter setting, and output volume management. Reduces wasted time and compute resources.
Chapter 4HideHide detailsSee detailsAI-Assisted Layout and Composition
AI-Assisted Layout and Composition
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 practise colour harmony and contrast in real compositions.
Lesson 4 • Typography Pairing with AI Assistance
Uses AI typeface-pairing tools to select and combine typefaces that reinforce brand tone. Connects typographic choices to overall layout harmony.
Lesson 5 • Layout Review and Iteration
Establishes a structured review process for evaluating AI-assisted layouts against design briefs. Students practise critique, revision, and final approval workflows.
Chapter 5HideHide detailsSee detailsBrand Identity Design with AI
Brand Identity Design with AI
Lesson 1 • Logo Concept Generation with AI
Generates diverse logo concepts using text-to-image and vector AI tools, then refines top candidates. Students practise 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 5 • Brand Strategy Inputs for AI Design
Translates brand strategy—mission, audience, and personality—into AI-ready design briefs. Ensures AI outputs align with strategic intent from the first generation.
Chapter 6HideHide detailsSee detailsSocial Media and Digital Content Creation
Social Media and Digital Content Creation
Lesson 1 • AI-Powered Copywriting Integration
Combines AI image generation with AI text tools to produce complete social posts. Students practise 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 5 • Performance Analysis and Design Iteration
Uses engagement data to evaluate which visual styles perform best and informs future AI prompts. Closes the loop between design output and audience response.
Chapter 7HideHide detailsSee detailsAdvanced Image Editing and Compositing
Advanced Image Editing and Compositing
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 5 • AI-Powered Retouching and Correction
Applies AI retouching tools to fix artifacts, correct distortions, and enhance fine details in composites. Ensures final images meet professional quality standards.
Chapter 8HideHide detailsSee detailsProfessional Workflow and Client Delivery
Professional Workflow and Client Delivery
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.
Lesson 5 • Version Control and File Management
Establishes naming conventions, folder structures, and version tracking for AI design projects. Ensures teams can collaborate and clients can receive organised handoffs.
Your valid completion certificate
This course is for you:
Freelance designers: ready to multiply output speed without sacrificing creative quality.
Marketing professionals: managing brand visuals without a dedicated in-house design team.
Entrepreneurs: needing polished, consistent brand assets on a lean budget.
Career changers: entering the creative industry through a practical, tool-first learning path.
Social media managers: looking to own the full visual content creation process independently.
Photographers and illustrators: expanding their service offerings into AI-assisted design work.
What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

I like the content and the way videos are presented and transcribed, which speeds up the process!

The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.

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