PyTorch for Deep Learning
PyTorch for Deep Learning
Learn the core principles of building, optimizing, and deploying deep learning models using PyTorch.
Grow your AI career with foundational specializations and skill-specific short courses taught by leaders in the field.


Build neural networks (CNNs, RNNs, LSTMs, Transformers) and apply them to speech recognition, NLP, and more using Python and TensorFlow.


Learn foundational AI concepts through an intuitive visual approach, then learn the code needed to implement the algorithms and math for ML.


Explore the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.


Build a solid data analytics foundation using industry standard and AI tools to extract insights, make decisions, and solve real-world business problems.


Learn practical prompt engineering and pair programming techniques with LLMs to write, test, and improve your code.


Learn a framework for AI project development. Build models for air quality, wind energy, biodiversity & disaster management. Explore case studies on public health & climate change.


Equip yourself with the knowledge necessary to use the TensorFlow API along with best practices and hands-on experience in one of the most in-demand deep learning frameworks.


Learn the core principles of building, optimizing, and deploying deep learning models using PyTorch.


Estimate treatment effects from randomized controlled trials data. Interpret diagnostic & prognostic models. Apply NLP to extract info from unstructured medical data.


Design NLP apps that perform question-answering, sentiment analysis, language translation, and summarization.