Diffusion Models Courses and Certifications

Introduction to Diffusion Models

263 ratings at Udemy

Diffusion Models from scratch using PyToch | In depth break down of Stable Diffusion and DALL·E 2

• Udemy
• 9 hours 50 minutes
• On-Demand
• Paid Course

Coursera

Fine-tuning Image Models with Diffusion

Master diffusion model fine-tuning with LoRA, DreamBooth, and ComfyUI to create custom image generation models for production-quality results.

• Coursera
• 8 hours 5 minutes
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

Generative AI with Diffusion Models

Explore generative AI with diffusion models, covering concepts, applications, and evaluation. Learn about Stable Diffusion, fine-tuning, and real-world use cases in this intermediate-level overview.

• AWS Skill Builder
• 1 hour 30 minutes
• On-Demand
• Free Certificate

Transformers in Diffusion Models for Image Generation and Beyond

Explore how Transformers revolutionize diffusion models for image generation, covering UNet architectures, attention mechanisms, and cutting-edge techniques in synthetic media creation.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

3Blue1Brown

How AI Videos Actually Work - Diffusion Models, CLIP, and the Math of Turning Text into Images

Explore the mathematical foundations of AI video generation through diffusion models, CLIP embeddings, and the intricate process of transforming text prompts into visual content.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Diffusion Models in Medical Imaging

Explore diffusion models in medical imaging through MedDelina for segmentation and ViCTr for synthesis, addressing data limitations and enhancing anatomical consistency.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Fast Uncertainty Estimation and Diffusion Models in PET

Explore fast uncertainty estimation techniques and diffusion models for PET imaging, enhancing medical diagnostics and research applications.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Yannic Kilcher

GLIDE- Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Explore GLIDE, a text-guided diffusion model for photorealistic image generation and editing. Learn about diffusion models, conditional generation, and guided diffusion techniques for high-quality image synthesis.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Generative Memory Lab

Diffusion Models for Inverse Problems

Explore advanced techniques for solving inverse problems using diffusion models, focusing on posterior sampling and manifold constraints.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Finnish Center for Artificial Intelligence FCAI

Elucidating the Design Space of Diffusion-Based Generative Models

Explore advancements in diffusion-based generative models, including improved sampling, training, and score network preconditioning. Learn about state-of-the-art results and modular design changes for enhanced efficiency and quality.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Y Combinator

The ML Technique Every Founder Should Know - Understanding Diffusion Models

Discover the diffusion ML framework powering Sora, Midjourney, and Google Veo through code examples and practical insights for founders building AI-powered startups.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Introduction to Image Generation

10 reviews

Explore diffusion models for image generation, their physics-inspired foundations, and learn to train and deploy them on Vertex AI for state-of-the-art results.

• Google Skills
• 30 minutes
• On-Demand
• Free Certificate

Nicholas Renotte

Exploring the New Hugging Face Diffusers Package - Diffusion Models With Python

Dive into Hugging Face Diffusers for Python, exploring diffusion models and their applications in deep learning. Gain hands-on experience with this powerful package for AI-driven image generation.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Valence Labs

Generalization in Diffusion Models from Geometry-Adaptive Harmonic Representation

Explore generalization in diffusion models through geometry-adaptive harmonic representation. Analyze denoising DNNs, score functions, and inductive biases to understand high-dimensional density learning and optimal basis adaptation.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video

Valence Labs

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Explore advanced diffusion models with Consistency Trajectory Models, improving sample quality and efficiency in AI-driven image generation. Learn novel sampling techniques and state-of-the-art results.

• YouTube
• 51 minutes
• On-Demand
• Free Video