Generative Models Courses and Certifications

GRE Complete Prep: How to Score 330+ for Top Grad Schools

2706 ratings at Udemy

Master the New GRE: All the Math, Verbal, and Writing Skills You Need to Ace the Test!

• Udemy
• 1 day 3 hours 52 minutes
• Self-Paced
• Paid Course

Career Certificate

Mathematics for Engineering

197 ratings at Coursera

Master essential mathematical foundations in calculus, probability, linear algebra, discrete mathematics, and logic for engineering, data science, and AI careers.

• Coursera
• 16 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Particle Filters (and Navigation)

Learn to develop and implement particle filters for nonlinear state estimation, focusing on Monte-Carlo integration, importance sampling, and resampling techniques. Apply these skills to solve indoor navigation problems.

• Coursera
• 21 hours 55 minutes
• Self-Paced
• Paid Course

TrevTutor

Discrete Mathematics - Counting, Recurrence Relations, Generating Functions, Probability, Graph Theory

2 ratings

Master essential discrete mathematics concepts including combinatorics, probability, recurrence relations, generating functions, and graph theory through comprehensive examples.

• YouTube
• 10 hours 49 minutes
• Self-Paced
• Free Video

Statistical Analysis Fundamentals using Excel

151 ratings at Coursera

Gain foundational knowledge in statistical analysis using Excel, covering descriptive statistics, data visualization, probability distributions, and regression analysis for data-driven decision-making.

• Coursera
• 13 hours 56 minutes
• Self-Paced
• Paid Course

Specialized Models: Time Series and Survival Analysis

146 ratings at Coursera

Learn time series analysis and survival modeling techniques for forecasting and analyzing censored data, including decomposition, ARIMA models, and hazard functions. Gain hands-on experience with Python.

• Coursera
• 11 hours 30 minutes
• Self-Paced
• Paid Course

Level 3 Intelligence Analyst Certification

1794 ratings at Udemy

Enhance predictive intelligence skills using critical thinking, probability trees, utility matrices, and Bayesian analysis with Excel for forecasting and preventing surprises.

• Udemy
• 2 hours 8 minutes
• Self-Paced
• Paid Course

Generative Models With Domain Knowledge for Weakly Supervised Clustering

Explore deep generative models for weakly supervised clustering, incorporating domain knowledge and survival data to guide algorithms towards medically meaningful findings in biomedical datasets.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

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