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.

Macquarie University
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Model Evaluation, Microsoft Excel, Excel Formulas, Trend Analysis, Predictive Modeling, Data Presentation, Statistical Visualization, Graphing, Model Optimization, Statistical Analysis, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative Model Architectures, Generative AI, Large Language Modeling, Vision Transformer (ViT), Artificial Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Howard University
Skills you'll gain: Regression Analysis, Predictive Modeling, Mathematical Modeling, Predictive Analytics, Statistical Modeling, Statistical Methods, Applied Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Small Data, Statistical Programming, Data Analysis
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Gemini, Google Gemini, Generative AI, Predictive Modeling, Google Cloud Platform, Big Data, Artificial Intelligence and Machine Learning (AI/ML), SQL, Query Languages, Python Programming, Customer Relationship Management (CRM) Software, Customer Relationship Management, Data Processing
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Model Training, Large Language Modeling, Natural Language Processing
Beginner · Project · Less Than 2 Hours

Alfaisal University | KLD
Skills you'll gain: Goal Setting, Employee Performance Management, Performance Appraisal, Performance Management, Smart Goals, Performance Review, Performance Improvement, Performance Measurement, Management Training And Development, People Development, Performance Metric, Process Management, Administration, Operational Efficiency, Continuous Improvement Process, Corrective and Preventive Action (CAPA)
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: LLM Application, Large Language Modeling, Google Gemini, Generative AI, Prompt Engineering
Beginner · Course · 1 - 4 Weeks
Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, Agentic systems, LLM Application, Agentic Workflows, LangChain, AI Workflows, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Model Optimization, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Google Gemini, Generative AI, Model Optimization, Application Development, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Transformation, Model Evaluation, Unsupervised Learning, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Fine-tuning, Model Optimization, Generative AI, Application Deployment, AI Workflows, Generative Model Architectures, Model Training, AI Personalization, Image Quality, Embeddings, Autoencoders, Performance Tuning, Data Preprocessing, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Forecasting, Recurrent Neural Networks (RNNs), Model Evaluation, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Data Preprocessing, Statistical Methods, Deep Learning, Supervised Learning, Statistical Modeling, Statistical Analysis, Model Training, Data Wrangling, Machine Learning, Python Programming, Correlation Analysis
Intermediate · Course · 1 - 4 Weeks