Generative Adversarial Networks courses can help you learn the principles of GAN architecture, training techniques, and evaluation metrics. You can build skills in image synthesis, data augmentation, and anomaly detection. Many courses introduce tools like TensorFlow and PyTorch, that support implementing GANs and experimenting with various models.
Skills you'll gain: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, File I/O, IT Automation, Scripting Languages, Data Import/Export, Algorithms, Automation, Computer Programming, Maintainability, Data Structures
Beginner · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Network Routing, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies
Intermediate · Specialization · 3 - 6 Months

Stanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Theoretical Computer Science, Probability Distribution
Beginner · Course · 1 - 3 Months

Skills you'll gain: Quality Management, Project Closure, Team Management, Project Management, Product Quality (QA/QC), Project Management Life Cycle, Quality Assessment, Quality Assurance, Team Leadership, Project Controls, Project Implementation, Issue Tracking, Team Building, Project Management Software, Project Risk Management, Data Storytelling, Project Documentation, Continuous Improvement Process, Risk Management, Strategic Thinking
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Patient Evaluation, Data Preprocessing, Diagnostic Tests, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Predictive Analytics, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Radiology
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Model Training, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Process Modeling, Process Mapping, Business Process Modeling, Process Analysis, Business Analysis, Data Storytelling, Business Analysis Tools, Business Process Improvement, Feasibility Studies, Systems Analysis, Stakeholder Analysis, Process Optimization, Requirements Management, Business Systems Analysis, Systems Design, Communication Planning, Test Planning, Information Technology, Database Management, Agile Methodology
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Management, Generative AI, AI Orchestration, Cloud Deployment, Infrastructure Architecture, Cloud Infrastructure, Cloud Computing, AI Workflows, Devops Tools, Data Infrastructure, AI literacy, Deep Learning, Information Technology Operations, Machine Learning, Network Infrastructure, Data Centers
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Computer Hardware, Data Storage Technologies, Data Storage, Hybrid Cloud Computing, Generative Model Architectures, Enterprise Application Management, Data Management, Data Maintenance, System Configuration, Network Protocols, IT Infrastructure, Microsoft Teams, Cloud Computing, Firewall, Patch Management, Productivity Software, Security Controls, Multi-Factor Authentication, Technical Communication, Network Monitoring
Beginner · Professional Certificate · 3 - 6 Months

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Model Training, Mathematical Modeling, Linear Algebra
Advanced · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Multimodal Prompts, Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Responsible AI, AI literacy, Context Engineering
Beginner · Course · 1 - 4 Weeks