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: Model Optimization, Model Training, Keras (Neural Network Library), Failure Analysis, Root Cause Analysis, Process Improvement and Optimization, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Alex Genadinik
Skills you'll gain: Revenue Management, Upselling, Customer Retention, Cross Selling, Market Trend, Customer Acquisition Management, Business Modeling, Competitive Analysis, Product Strategy, Consumer Behaviour, Sustainable Business, Growth Strategies
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Gemini, Google Gemini, SQL, Generative AI, Applied Machine Learning, Google Cloud Platform, Customer Relationship Management, Query Languages, Workflow Management, Model Training, Python Programming
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Wrangling, Data Visualization, Statistical Analysis, Data Processing, Statistics, Analytics, Statistical Modeling, R Programming, Data Analysis, Statistical Inference, Pandas (Python Package), Python Programming
★ 4.4 (207) · Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Gemini, Google Gemini, Generative AI, Customer Relationship Management, Customer Relationship Management (CRM) Software, Google Cloud Platform, Jupyter, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), SQL
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Open Source Technology, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Training
Intermediate · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: Image Analysis, Model Training, Generative AI, Model Evaluation, Generative Model Architectures, Deep Learning, Applied Machine Learning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: SketchUp (3D Modeling Software), 3D Modeling, Design Software, Software Installation, Fine-tuning
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, Model Optimization, Serverless Computing, Cloud Deployment, Generative AI, Cloud Platforms, AI Integrations, Application Deployment, Cloud-Based Integration, Containerization, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: R Programming, R (Software), Data Visualization, Statistical Programming, Time Series Analysis and Forecasting, Interactive Data Visualization, Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Processing, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Predictive Analytics, Revenue Management, Forecasting, Business Strategy, Machine Learning
★ 4.9 (12) · Intermediate · Guided Project · Less Than 2 Hours