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.

Coursera
Skills you'll gain: Virtual Environment, Canva (Software), Graphical Tools, Color Matching, Graphics Software, Design, Creative Design, Design Software, Graphic and Visual Design Software, Graphic and Visual Design, Graphic Design, Content Creation, Marketing
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Financial Statement Analysis, Capital Budgeting, Financial Modeling, Working Capital, Financial Statements, Investment Banking, Cash Flows, Financial Analysis, Derivatives, Technical Analysis, Equities, Portfolio Management, Corporate Finance, Financial Trading, Financial Market, Market Dynamics, Capital Markets, Investments, Finance, Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: AI Security, Responsible AI, Large Language Modeling, Generative Model Architectures, Prompt Patterns, IT Security Architecture, Threat Modeling, Vulnerability Assessments, Threat Detection, Cybersecurity, Information Systems Security, Cyber Threat Intelligence, Cyber Security Strategy, Security Strategy, Security Management, Cyber Attacks, Cloud Security, Security Awareness, Enterprise Security, Distributed Denial-Of-Service (DDoS) Attacks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Linear Algebra, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Statistical Visualization, Pandas (Python Package), Applied Machine Learning, Data Science, Machine Learning, Data Analysis, Python Programming, Model Optimization, Data Manipulation, Classification Algorithms, Programming Principles, Regression Analysis, Data Structures
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Debugging, LLM Application, Data-oriented programming, Program Development, Code Reusability, Python Programming, Data Manipulation, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Dashboard Creation, Interactive Data Visualization, Tableau Software, Data Presentation, Data Import/Export, Data Visualization, Data Literacy, Data Visualization Software, Business Intelligence, Data Analysis, Data Integration, Data Modeling
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Version Control, GitHub, Django (Web Framework), Git (Version Control System), Application Deployment, Object-Relational Mapping, Development Environment, Unit Testing, Cloud Deployment, Database Development, Bootstrap (Front-End Framework), Model View Controller, Database Management, Virtual Environment, Program Development, HTML and CSS, Python Programming
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Probability & Statistics, Probability, Probability Distribution, Simulations, Statistical Modeling, Statistics, Risk Modeling, Statistical Methods, Simulation and Simulation Software, Estimation, Correlation Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
Advanced · Specialization · 1 - 3 Months

Advanced · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)
Intermediate · Course · 1 - 3 Months

Intermediate · Course · 1 - 4 Weeks