Data

Applied machine learning with a solid foundation in theory. Revised and expanded with TensorFlow 2, GANs, and reinforcement learning.

Learn the basic concepts of C# and crack the 70-483 certification

Perform advanced data manipulation tasks using pandas and become an expert data analyst.

Build automated and highly-scalable end-to-end Machine Learning models and pipelines in Azure using Tensorflow, Spark, and Kubernetes.

Use Java and Deeplearning4j to build robust, enterprise-grade deep learning models from scratch

Simplify artificial intelligence (AI) by designing and implementing self-learning agents using PyTorch

Take your enterprise application development skills to the next level by mastering parallel programming techniques in .NET and C#.

Build powerful deep learning models using fewer learning samples with the power of scikit-learn and Keras

Learn the essential background and model functioning of various neural network architectures such as CNN. RNN. LSTM, GANs, Autoencoders and more using best practices from an industry expert

Build powerful artificial intelligent applications using Hyperledger, Ethereum, Corda, Chain Core, Quorum, IOTA and more

Build and train neural network models with high speed and flexibility in text, vision, and advanced analytics using PyTorch 1.x

Explore the potential of Apache Spark and its ecosystem through real-world applications