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.

Dartmouth College
Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Embedded Systems, Digital Signal Processing, Embedded Software, Distributed Computing, Machine Learning Algorithms, Image Analysis, Machine Learning Methods, Deep Learning, Engineering Design Process, Recurrent Neural Networks (RNNs), Experimentation, Convolutional Neural Networks, Hardware Design, Text Mining, Student Support and Services, Computer Engineering, Systems Analysis
Degree · 1 - 4 Years

Microsoft
Intermediate · Course

Google Cloud
Skills you'll gain: Kubernetes, Firewall, Google Cloud Platform, Cloud-Native Computing, Cloud Security, Infrastructure Security, Network Security, Security Controls, Containerization
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Cloud Applications, Cloud Development, Google App Engine, Google Cloud Platform, Application Deployment, Application Development, Cloud-Native Computing, Cloud Hosting, Cloud Deployment, Authentications, Cloud API, Generative AI, CI/CD, Computing Platforms, Containerization, LLM Application, Application Performance Management, Identity and Access Management, Authorization (Computing), Performance Tuning
Beginner · Course · 1 - 3 Months

Microsoft
Intermediate · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Gemini, Google Gemini, Generative AI
Advanced · Course · 1 - 4 Weeks