Build real-world cross-platform applications and improve its performance, reliability and usability with NET Framework 2.1 & C# 7.2.

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

Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries

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

Real world financial applications with AI and production-grade data feed/technology

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

To write the machine learning and deep learning applications that create your business edge

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