Course Objective & Scope
Research and moodboarding in the first days of a project set the ground for every later design decision, yet they often stay shallow under time pressure. This course shows how to use AI to deepen research and clarify visual direction faster.
Participants practise sourced market and trend scanning with Perplexity, ChatGPT and Gemini deep research, analysis of competitors' visual language, Midjourney style references (--sref) and moodboard features, and board composition in FigJam and Milanote. A research brief and a presentation-ready moodboard are produced on a current project from the organisation.
Who Should Attend?
- Brand, graphic and campaign designers
- Art directors and creative team leads
- UX researchers and product designers
- Marketing and communications staff who write creative briefs
Key Takeaways
- Prepare trend and competitor analyses with cited sources using deep research tools
- Verify research findings and flag their reliability
- Compare competitors' visual language in a structured way
- Generate consistent moodboard variants with style references and visual prompts
- Build a presentation board that explains the visual direction with rationale
Curriculum
Market and Trend Scanning with Deep Research
- Comparing Perplexity, ChatGPT and Gemini deep research
- Defining the research question and scope
- Source checks and reliability notes
Competitor Visual Language Analysis
- Breaking down colour, typography and photographic style
- Visual comparison tables with multimodal LLMs
Image Generation for Moodboards
- Midjourney style references and moodboard profiles
- Prompt sets for exploring texture, light and atmosphere
Board Composition and Curation
- Board layout in FigJam and Milanote
- Balancing generated and real-world references
Presenting the Visual Direction
- Justifying alternative directions
- Presentation structure for stakeholder feedback
Other Courses in This Category
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Divergent ideation with LLMs using SCAMPER, How Might We and Crazy 8s, persona-based critique and concept selection. Creative teams turn a brief into three justified concept routes with supporting concept boards.
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Prompt anatomy for image models, style and character references, image-to-image and ControlNet for pose and composition control. Designers build a prompt and reference library that reproduces a target art direction reliably.
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Producing campaign, social media and web visuals with Midjourney, Adobe Firefly, GPT image and Gemini image models, covering formats, series consistency, basic editing and upscaling. Teams deliver a publish-ready visual content set.
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Hands-on training in producing A/B test, localisation and format variants from existing images using Photoshop Generative Fill, inpainting/outpainting, background replacement, prompt-based editing (GPT image, Gemini) and upscaling.
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Training on translating brand guidelines into Midjourney moodboard/style references, Adobe Firefly Custom Models and LoRA workflows. Design teams build a repeatable visual system that preserves brand colour, lighting and aesthetic rules.
- Live Course
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Legible typography, grid and negative-space composition, and fine style control in generative image models (Ideogram, Flux, GPT image, Midjourney, ControlNet). Designers produce key visuals, posters and packaging with full compositional control.
- Live Course
- 4 modules
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