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.

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Visualization, Plot (Graphics), Python Programming, Applied Machine Learning, Model Optimization, Model Training, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Data Manipulation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Network Security, Network Troubleshooting, Software-Defined Networking, Network Engineering, Network Monitoring, Virtual Networking, TCP/IP, Network Architecture, Computer Networking, Network Performance Management, Network Protocols, General Networking, Cybersecurity, Network Infrastructure, Network Administration, Local Area Networks, Network Analysis, OSI Models, Network Model, Network Routing
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Visualization Software, Storytelling, Visual Storytelling, Data Integrity, Driving engagement, Presentations, Microsoft Excel, Design Elements And Principles
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Digital pedagogy, Event-Driven Programming, Cultural Responsiveness, Program Development, Data Structures, Graphical Tools
Beginner · Course · 1 - 3 Months

Skills you'll gain: Vector Databases, Hugging Face, AI Personalization, Artificial Intelligence, Embeddings, Natural Language Processing, Feature Engineering, MongoDB
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Git (Version Control System), GitHub, Version Control, Open Source Technology, Unix Shell, Collaborative Software, Software Installation, Unix Commands, Microsoft Visual Studio, Software Versioning, Linux Commands, Linux, Mac OS, Web Development Tools, Shell Script, File Management, Command-Line Interface, Code Review, Application Deployment, React.js
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Data Import/Export, Data Store, Cloud API, Health Informatics, Health Information Management, Health Technology, Application Programming Interface (API), Google Cloud Platform, Cloud-Based Integration, Health Care, Data Integration, Data Modeling, Cloud Storage
Beginner · Project · Less Than 2 Hours

Skills you'll gain: AI Security, Large Language Modeling, LLM Application, Cybersecurity, Prompt Engineering, Threat Modeling, Cyber Security Assessment, Application Security, Vulnerability Assessments, Security Testing, Network Security, Exploitation techniques
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: LangChain, LLM Application, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Embeddings, Generative AI, Tool Calling, Fine-tuning, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools
Beginner · Specialization · 1 - 3 Months