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.

Skillshare
Skills you'll gain: Responsive Web Design, User Interface and User Experience (UI/UX) Design, Digital Design, Web Design, Motion Graphics, Adobe XD, No-Code Development, Animations, Layout Design, Prototyping, Graphic Design, Augmented and Virtual Reality (AR/VR), Style Guides
Beginner · Course · 1 - 3 Months

Fred Hutchinson Cancer Center
Skills you'll gain: Debugging, Responsible AI, Maintainability, ChatGPT, OpenAI, Computer Programming Tools, Bioinformatics, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Software Development, Generative AI, Programming Principles, Data Science
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Data Management
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Mindfulness, Personal Development, Self-Awareness, Creativity, Digital Design, Graphical Tools, Emotional Intelligence, Color Theory, Creative Thinking, Storytelling, Design Elements And Principles, Design Software, Adobe Creative Cloud
Beginner · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: AI Product Strategy, Product Lifecycle Management, Responsible AI, Product Strategy, Governance, Product Management, Innovation, Product Roadmaps, Product Marketing, Organizational Structure, Business Strategy, Enterprise Risk Management (ERM), Customer experience strategy (CX), Value Propositions, Business Metrics, Customer Insights, Performance Metric
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
Intermediate · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Data Modeling, Data Infrastructure, Real Time Data, Data Management, Database Systems, Data Architecture, Big Data, Data Processing, Database Management Systems, Unstructured Data, Scalability
Mixed · Course · 1 - 3 Months

Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Network Security, Endpoint Security, Hardening, Virtual Private Networks (VPN), Firewall, Network Administration, Cloud Security, Cybersecurity, Infrastructure Security, Role-Based Access Control (RBAC), Cloud Computing, Authorization (Computing), Identity and Access Management, Email Security, Network Infrastructure, Network Protocols, Authentications, System Configuration
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS Identity and Access Management (IAM), Identity and Access Management, AI Security, Amazon Web Services, Data Ethics, Generative AI, AWS SageMaker, Cloud Security, MLOps (Machine Learning Operations), Data Security, Data Governance, Artificial Intelligence, Encryption, Public Cloud, General Data Protection Regulation (GDPR)
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 3 Months