Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Level up your machine learning skills with tuning methods, advanced models, and dimensionality reduction.

Learn about what transformers are (the T of GPT) and how to work with them using Hugging Face libraries

Learn the foundations of cloud computing across platforms like AWS, Cloud, Azure, and GCP.

Build basic deep learning models in TensorFlow.

Learn about the Hugging Face AI and machine learning platform, and how their tools can streamline ML and AI development.

Improve machine learning models with hyperparameter tuning.

Build the basic language models in Python.

Learn how to use PyTorch to build, train, and test artificial neural networks in this course.

Improve machine learning performance with regularization.

This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects.

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.