← Back to the catalogueAI Image Generation
Beginner to intermediate
Level
Classroom . Online . Hybrid
Mode
Course overview
A practical course on generating and editing commercial-quality images with diffusion tools. The course treats image generation as art direction: reference, composition, lighting and style are specified rather than hoped for. Editing tools inpainting, outpainting, upscaling, background replacement turn near-misses into usable assets.
Learners deliver a consistent campaign image set with documented prompts.
Who it is for
- Designers and marketers
- Content creators
- E-commerce teams needing product imagery
- Agencies producing concepts
Prerequisites
Basic design sense. No technical background needed.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Documented Image Campaign
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Write prompts that specify subject, style and composition.
02
Keep characters and style consistent across a set.
03
Upscale and retouch for print and web use.
04
Document prompts for repeatable production.
05
Control lighting, lens and framing deliberately.
06
Fix and extend images with inpainting and outpainting.
07
Understand licensing, likeness and brand risk.
Module structure
8 modulesModule 01
Generative Imaging
How diffusion works . Model families . Strengths per tool . Resolution and aspect
Tools — Midjourney, Stable Diffusion, Ideogram
Subject, style, medium . Lighting terms . Lens and camera language . Negative prompts
Reference boards . Mood and tone . Style references and ethics
Module 04
Editing and Control
Inpainting . Outpainting . Masking . Image-to-image . Seeds
Module 05
Product and Commercial Imagery
Product placement . Background replacement . Shadow and reflection realism . Packshots . Text in images
Module 06
Upscaling and Retouching
Upscalers . Skin and detail correction . Artifact cleanup . Print resolution
Training data debate . Likeness and trademarks . Disclosure
Module 08
Production Workflow
Prompt libraries . Asset management . Review checklist . Version naming . Handoff to designers
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
AI Visual DesignerConcept ArtistMarketing DesignerE-commerce Content ProducerCreative Technologist
