AI Image Tools: Advanced

This course covers the techniques that separate casual image generation from production work: consistency across images, editing pipelines, and brand-safe style systems. Learners produce a coherent multi-image set to production standards.

What this course covers

The course runs across 11 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Foundations of Advanced Image Generation — Understanding advanced model architectures, seed control, and configuring a professional generation workspace.
Mastering Character Consistency — Techniques for maintaining character identity across multiple scenes using character references, face-swapping, and specialized prompts.
Establishing Style Consistency — Utilizing style references, aesthetic weights, and custom prompt templates to lock in a unified visual look.
Scenario: Selecting the Consistency Strategy — An interactive decision-making exercise where you choose the best consistency technique based on client constraints and assets.
Hands-on: Generating a Coherent Character Set — Direct practice in the tool generating a 3-image sequence of a character in different environments while maintaining identity.
Advanced Editing: Inpainting and Outpainting — Precision editing pipelines to modify specific image regions, fix anatomical errors, and expand aspect ratios seamlessly.
Structural Control with ControlNet and IP-Adapter — Using depth maps, poses, and edge detection to guide composition and maintain structural fidelity across variations.
Defining Brand Systems and Style Guides — Translating strict brand guidelines (colors, mood, composition) into reusable prompt systems and custom LoRAs.
Scenario: Resolving Brand Compliance Issues — Navigate a scenario-based exercise to correct an off-brand AI output to align with strict corporate design standards.
High-Resolution Upscaling Workflows — Comparing latent, creative, and tile-based upscalers to prepare low-res generations for print and high-definition screens.
Hands-on: Finalizing and Exporting Production-Ready Assets — Apply final post-processing, sharpening, and export workflows to produce a coherent, professional multi-image set.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Designers, marketers, creative teams. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: Image Generation track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including branching scenario, guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

AI Image Tools: Core — The middle rung between first images and production pipelines: making image generation a dependable part of real work. Learners develop repeatable prompt styles, edit and iterate with intent, and build a small personal library of looks that match their brand. They finish producing consistent, usable images on demand rather than happy accidents.
What's New in Midjourney — A short refresher on the latest Midjourney updates
AI Image Tools: Essentials — A practical, responsible introduction to AI image generation across leading tools. Learners practice prompting for images, compare tools, edit and create variations, and explore styles - while understanding rights and usage. They finish able to produce usable visuals on their own.
Midjourney: Essentials — A hands-on introduction to Midjourney, the most widely used dedicated image tool. Learners master its prompt syntax, parameters, and variation workflow, and understand usage rights for commercial work.
AI Image Tools Pathway — Climb from your first AI image to production-grade, brand-consistent image work.

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-IMG-201.