Generative Models Courses and Certifications

Stanford CS236: Deep Generative Models - Score Based Diffusion Models - Lecture 16

Explore score-based diffusion models in deep generative modeling, covering theoretical foundations and practical applications in AI and machine learning.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video

Deep Generative Models - Lecture 2: Background

Explore fundamental concepts and background for deep generative models, covering essential topics to build a strong foundation in this advanced machine learning field.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Deep Generative Models - Energy Based Models - Lecture 12

Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights into this powerful approach for modeling complex data distributions.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Deep Generative Models - Normalizing Flows - Lecture 9

Explore normalizing flows in deep generative models, focusing on their principles, applications, and recent advancements in this Stanford lecture by Prof. Stefano Ermon.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Deep Generative Models - Lecture 10: GANs

Explore Generative Adversarial Networks (GANs) in deep learning, covering their architecture, training process, and applications in image generation and beyond.

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

Deep Generative Models - Energy Based Models - Lecture 14

Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights from Stanford's expert on advanced generative modeling techniques.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Deep Generative Models - Lecture 8: GANs

Explore Generative Adversarial Networks (GANs) in deep learning, covering their architecture, training process, and applications in image generation and beyond.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Evaluation of Generative Models - Stanford CS236 Deep Generative Models Lecture 15

Explore evaluation methods for deep generative models, including metrics and techniques to assess model performance, quality, and effectiveness in various applications.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Stanford CS236: Deep Generative Models - Lecture 7 - Normalizing Flows

Explore normalizing flows in deep generative models with Stanford's Stefano Ermon. Learn advanced techniques for creating flexible and expressive probability distributions in machine learning.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Deep Learning

34 ratings at Coursera

Explore neural networks, CNNs, RNNs, transformers, generative models, and advanced techniques in this comprehensive introduction to deep learning for aspiring ML engineers and data scientists.

• Coursera
• 2 days 9 hours 8 minutes
• On-Demand
• Paid Course

Fractal Analytics

Coding with Generative AI

22 ratings at Coursera

Explore Generative AI for coding, learning fundamentals, neural networks, and practical applications to enhance code quality and efficiency in real-world challenges.

• Coursera
• 11 hours 27 minutes
• On-Demand
• Paid Course

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• On-Demand
• Paid Course

Microcredential

Digital Healthcare Informatics and AI

Master healthcare AI integration through data standards, ethics, and hands-on innovation projects led by industry experts from Mayo Clinic and Harvard Medical School.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Image Generation with AI Training Course

Master Stable Diffusion, denoising techniques, and generative learning to create high-quality images from text prompts and build multimodal AI applications with shared embedding spaces.

• Coursera
• 3 hours 6 minutes
• On-Demand
• Paid Course