Generative Models Courses and Certifications

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Stanford CS236: Deep Generative Models - Lecture 13 - Score Based Models

Explore score-based models in deep generative modeling, covering theoretical foundations and practical applications in this advanced Stanford lecture on AI and machine learning.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Deep Generative Models - Lecture 5: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Microsoft Excel: Essential Statistics for Data Analysis

1666 ratings at Udemy

Learn statistics for data analysis with fun, real-world Excel demos: probability, hypothesis testing, regression & more!

• Udemy
• 7 hours 52 minutes
• Self-Paced
• Paid Course

A Scientific Approach to Innovation Management

104 ratings at Coursera

Systematic process for assessing innovative ideas through problem-framing and data analysis. Learn to make strategic decisions, avoid pitfalls, and apply scientific approaches to innovation management.

• Coursera
• 13 hours 54 minutes
• Self-Paced
• Paid Course

Data Science + Data Analytics Career Path: 100 Days Bootcamp

1582 ratings at Udemy

A full-fledged Data Mastery Course for Everyone. Master Stats, Maths, Python, EDA, Machine & Deep Learning in 100 Days.

• Udemy
• 2 days 29 minutes
• Self-Paced
• Paid Course

Math for Data Science Masterclass

1555 ratings at Udemy

Learn about probability, statistics, and more using the mathematics that are foundational to the field of data science.

• Udemy
• 16 hours 7 minutes
• Self-Paced
• Paid Course