Create stunning AI-generated visuals with Midjourney, Stable Diffusion, DALL-E, and ControlNet — build a professional creative portfolio.
AI Image Generation is revolutionizing graphic design, marketing, advertising, and creative industries. This course teaches you how to master AI tools to generate professional-grade images, artwork, product visuals, and creative content at scale.
You'll learn diffusion model fundamentals, master advanced prompting techniques for visual AI, work with tools like Midjourney v6, DALL-E 3, Stable Diffusion XL, and ControlNet — and build a stunning creative portfolio to showcase to clients or employers.
The certification assessment covers image generation models, diffusion process, prompt engineering for visuals, negative prompts, ControlNet usage, inpainting/outpainting, image-to-image, style transfer, and AI image ethics — plus a practical portfolio submission.
How diffusion models work, VAE, CLIP, noise scheduling, sampling methods, and the history of generative visual AI.
Advanced prompting for Midjourney, aspect ratios, stylize parameters, DALL-E 3 system prompts, and professional quality outputs.
Setting up Stable Diffusion, A1111/ComfyUI interfaces, ControlNet for pose/depth/edge control, LoRA models, and custom checkpoints.
Inpainting, outpainting, image-to-image workflows, upscaling, face restoration, and consistent character generation.
Building a freelance portfolio, AI art copyright basics, ethical use of AI-generated images, watermarking, and client deliverables.