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.

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation, Model Training
★ 4.4 (1.1K) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Generative Model Architectures, Machine Learning Methods, Model Training, Network Architecture
★ 4.5 (1.2K) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Optimization, Model Deployment, iOS Development, Apple iOS, Android Development, Tensorflow, Swift Programming, Model Training, Mobile Development, Embedded Systems, Computer Vision, Machine Learning
★ 4.7 (655) · Intermediate · Course · 1 - 4 Weeks

Politecnico di Milano
Skills you'll gain: Sustainable Business, Business Modeling, Corporate Sustainability, Digital Transformation, Business Architecture, Business Transformation, Finance, Emerging Technologies, Case Studies
★ 4.7 (7) · Beginner · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Generative Adversarial Networks (GANs), Autoencoders, Model Training, Model Evaluation, Large Language Modeling, Real Time Data, Scalability, Responsible AI
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Engineering Tools, Generative AI, Vision Transformer (ViT), Fine-tuning, Generative Model Architectures, Image Analysis, Computer Vision, AI Personalization
★ 4.9 (7) · Beginner · Project · Less Than 2 Hours

University of Virginia
Skills you'll gain: Entrepreneurship, Philanthropy, Corporate Sustainability, Stakeholder Engagement, Business Ethics, Stakeholder Management, Sustainable Business, Social Impact, Environmental Social And Corporate Governance (ESG), Stakeholder Analysis, Environmental Issue, Business Modeling, Employee Engagement
★ 4.7 (4.1K) · Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Ethics, Data Validation, Generative AI, Prompt Engineering, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Hugging Face, Data Collection, Token Optimization, Data Wrangling, Unstructured Data, Fine-tuning, Data Transformation, Data Pipelines, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Data Integrity, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Network Architecture
Intermediate · Course · 1 - 3 Months