About this Course
Inject custom subjects into Stable Diffusion or Flux without retraining the full model. This comprehensive curriculum is designed to give you hands-on experience with Fine-tuning Diffusion Models (DreamBooth & LoRA). This Generative AI Practitioners curriculum is designed to give you hands-on experience and deep conceptual understanding.
Across 4 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.
What you'll learn
Master the core concepts of latent diffusion architecture & text-to-image.
Gain hands-on experience with dreambooth fine-tuning & subject preservation.
Understand the architecture behind low-rank adaptation (lora) for diffusion pipelines.
Implement production-grade dataset curation, training & quantization.
W1
Latent Diffusion Architecture & Text-to-Image
Master the core concepts of latent diffusion architecture & text-to-image.
3 videos•80m
3 readings
3 topics
1 homework
W2
DreamBooth Fine-Tuning & Subject Preservation
Gain hands-on experience with dreambooth fine-tuning & subject preservation.
3 videos•63m
3 readings
3 topics
1 homework
W3
Low-Rank Adaptation (LoRA) for Diffusion Pipelines
Understand the architecture behind low-rank adaptation (lora) for diffusion pipelines.
3 videos•76m
2 readings
3 topics
1 homework
W4
Dataset Curation, Training & Quantization
Implement production-grade dataset curation, training & quantization.
3 videos•60m
3 readings
3 topics
1 homework
01
Learn
Watch curated videos and read study resources
02
Practice
Practice what you learned
03
Build Projects
Build projects using your new gained knowledge
04
Submit & Verify
Submit your project and get verified by our system
References
Rate this course
Help the community find verified technical paths.
Community Insights
0Join the discussion
Sign in to share your thoughts and technical insights.
Loading insights...