Visual quality is now a competitive edge
Teams that can produce high-quality imagery quickly can iterate campaigns and products faster.
BUNKROS AI Training
Produce production-grade visual assets with controllable AI image systems.
Move beyond random prompts. Learn composition control, style consistency, and reliable image workflows for campaigns and products.
Why This Matters
Strategic relevance before tactical execution.
Random prompting wastes time
Reliable output needs structured prompt systems and parameter strategy.
Consistency matters across channels
Brand-safe visual systems require repeatable style controls and review workflows.
What You Will Learn
Practical capabilities you can apply immediately.
- Engineer prompts for composition, lighting, and style precision.
- Use negative prompting and iterative refinement effectively.
- Build style libraries for campaign-level consistency.
- Upscale, retouch, and prepare assets for production use.
- Evaluate image outputs for legal and brand risk.
- Create a repeatable visual pipeline from brief to delivery.
Curriculum Modules
A structured path from foundations to implementation.
Module 1: Prompt Control Fundamentals
Define subject, style, and composition with high precision.
Module 2: Iteration and Quality Loops
Establish refinement workflows that consistently improve output.
Module 3: Style Systems
Develop reusable style references for brand coherence.
Module 4: Production Finishing
Upscale, retouch, and export assets for print and digital channels.
Module 5: Governance and Rights Awareness
Assess licensing, attribution risk, and brand safety concerns.
Module 6: Campaign Deployment
Integrate generated visuals into real campaign workflows.
30-Minute Training
One focused sprint to move from theory to repeatable execution.
00:00 - 05:00
Introduction
Define the problem this track solves, pick one real workflow, and set a measurable target for the session.
05:00 - 11:00
Theory Block 1
Map the core principles so your decisions are based on system behavior, not trial-and-error prompting.
11:00 - 17:00
Exercise Block 1
Run a controlled build task with explicit constraints, then measure output quality against your rubric.
17:00 - 23:00
Theory Block 2
Add governance, validation, and failure modes so the workflow remains usable in production.
23:00 - 30:00
Exercise Block 2 + Check
Refine your first build, run a quick knowledge check, and prepare your next learning sprint.
Theory Blocks
Foundations that keep your outputs reliable.
Visual quality is now a competitive edge
Teams that can produce high-quality imagery quickly can iterate campaigns and products faster.
Random prompting wastes time
Reliable output needs structured prompt systems and parameter strategy.
Consistency matters across channels
Brand-safe visual systems require repeatable style controls and review workflows.
Hands-On Exercises
Short builds designed for immediate skill transfer.
Exercise 1: Module 1: Prompt Control Fundamentals
Define subject, style, and composition with high precision.
Build a focused workflow step in 6 minutes. Force explicit inputs, expected outputs, and review criteria.
Deliverable: one reusable prompt or SOP with acceptance criteria and one risk note.
Exercise 2: Module 2: Iteration and Quality Loops
Establish refinement workflows that consistently improve output.
Build a focused workflow step in 6 minutes. Force explicit inputs, expected outputs, and review criteria.
Deliverable: one reusable prompt or SOP with acceptance criteria and one risk note.
Exercise 3: Module 3: Style Systems
Develop reusable style references for brand coherence.
Build a focused workflow step in 6 minutes. Force explicit inputs, expected outputs, and review criteria.
Deliverable: one reusable prompt or SOP with acceptance criteria and one risk note.
Knowledge Check
Validate comprehension before scaling the workflow.
Open Resources
Continue learning with high-quality public material.
Glossary
Key terms you should be fluent in for this track.
Workflow Constraint
A rule that limits ambiguity and keeps output behavior stable across runs.
Quality Gate
A mandatory review checkpoint before downstream use or publication.
Tools Covered
Tooling choices tied to workflow outcomes.
Midjourney
Adobe Firefly
Stable Diffusion
DALL-E
Leonardo AI
Photoshop
Canva
Figma
Who This Is For
Built for operators, builders, and strategic teams.
- Designers and art directors exploring AI-assisted production.
- Marketers needing faster visual asset creation.
- Creators building branded image systems.
- Teams scaling social and campaign visuals.
Outcomes and Career Impact
Execution outcomes with direct professional value.
Outcome
Deliver brand-consistent image sets faster than traditional pipelines.
Outcome
Reduce visual production bottlenecks in campaign execution.
Outcome
Establish prompt and style systems reusable by entire teams.
Outcome
Ship image workflows with clear quality and risk controls.
Signals from Practice
Operator-level feedback and implementation sentiment.
"Our visual team doubled output without lowering standards."
"We finally have a repeatable AI image process."
Access Models
Free, cohort, and enterprise pathways.
Starter
EUR 0
Image prompt framework and visual quality rubric.
Pro Cohort
EUR 479
5-week visual lab with critique and refinement sessions.
Enterprise
Custom
Team workflow design for high-volume visual production.
Ready to Start
Build a visual AI workflow your team can trust.
Start the image generation lab and move from random outputs to consistent quality.
AI Business Operations
6-week applied sprint
AI Models Compared
4-week decision lab
AI Ethics and Governance
5-week governance intensive
AI Models Architecture
5-week architecture lab
AI Code Generation Systems
6-week engineering sprint
AI Creative Workflows
5-week creative studio
AI Image Generation
5-week visual lab
Neural Networks Foundations
6-week technical foundation
Prompt Engineering Systems
4-week prompt lab
AI Video Generation
5-week motion lab