Intro to Machine Learning With Pytorch

Learn Machine Learning, Deep Learning, Bayesian Learning and Model Deployment in Python.

Reinforcement Learning: Deep Q-Learning, SARSA, Deep RL, with Car Racing and Trading Project and Project and Interview

Build smart language applications with the cutting-edge field of Deep Learning with PyTorch

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems

Deep Learning : Deep Unsupervised Visual Representation learning (DUVRL) and SOTA Data Augmentation in Pytorch & Numpy

Learn Deep learning practically from scratch using Python

Data science skills are in high demand, and you'll finish this program with practical skills needed to land a data science job. You'll build projects designed with our industry partners using real-world data, and by the end of the program you will be able to build machine learning models includng supervised and unsupervised methods; create and run data pipelines; design experiments; build recommendation systems; deploy solutions to the cloud; and more.

Learn next-generation NLP with transformers for sentiment analysis, Q&A, similarity search, NER, and more

ML Ops | Serve ML models in production | AWS | GCP | FastAPI | gRPC | Docker | Tensorflow | Keras | PyTorch