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: Image Analysis, Data Preprocessing, Computer Vision, Data Transformation, Python Programming, NumPy
Intermediate · Course · 1 - 4 Weeks

John Wiley & Sons
Skills you'll gain: Pain Management, Care Management, Nursing Management, Value-Based Care, Patient-centered Care, Patient Safety, Health Policy, Nursing, Health Care, Mental and Behavioral Health, Substance Abuse, Substance Abuse Counseling, Healthcare Industry Knowledge, Cultural Responsiveness, Continuous Quality Improvement (CQI), Cultural Sensitivity, Infection Control, Surveys, Data Analysis, Leadership
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Modeling, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts
Intermediate · Guided Project · Less Than 2 Hours
Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Machine Learning Algorithms, Java, Software Design Patterns, Data-Driven Decision-Making, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Large Language Modeling, Prompt Patterns, Fine-tuning, Generative AI, Generative Model Architectures, LLM Application, Retrieval-Augmented Generation, Model Training, Natural Language Processing, Model Evaluation, Data Cleansing, Model Optimization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Embeddings, Generative Model Architectures, Model Evaluation, Applied Machine Learning, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: LLM Application, Large Language Modeling, Fine-tuning, AI Personalization, Forecasting, Artificial Intelligence, Natural Language Processing, Business Analysis, Innovation
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Image Analysis, Model Training, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Model Deployment, Model Evaluation, Recurrent Neural Networks (RNNs)
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: LLM Application, Analysis, Benchmarking, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Applied Machine Learning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Training, AI Workflows, Data Pipelines
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks