Probabilistic Graphical Models courses can help you learn Bayesian networks, Markov random fields, and inference algorithms. You can build skills in modeling uncertainty, reasoning under uncertainty, and making predictions based on incomplete data. Many courses introduce tools like TensorFlow Probability and PyMC3, which are used for implementing these models and performing complex calculations, enabling you to apply your knowledge to real-world data analysis and machine learning tasks.

University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, AI Workflows, Embeddings, Large Language Modeling, Graph Theory, Query Languages, Data Visualization Software, Development Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Sampling (Statistics), Artificial Neural Networks, Algorithms
Intermediate · Project · Less Than 2 Hours

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution
Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Sampling (Statistics), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Model Evaluation, Probability Distribution
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Large Language Modeling, Prompt Engineering, Retrieval-Augmented Generation, Transfer Learning, Data Preprocessing
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Statistical Hypothesis Testing, Clinical Data Management, Clinical Assessment, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Health Informatics, Regression Analysis, Predictive Analytics, Supervised Learning, Statistical Analysis, Statistics, Probability & Statistics, Decision Tree Learning, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Advanced · Course · 1 - 3 Months

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks