An end-to-end advanced level guide for setting up a Linux system to be as secure as possible against attackers and intruders.

Learn kernel development along with kernel internals and cover essential background for driver authors

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

Build reactive, concurrent, and responsive Kotlin applications

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

Best practices in implementing continuous delivery for enterprise systems such as big data, Hadoop, Spark, Scala, ETL, analytics, and data visualization

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

Master the techniques to build interesting cross platform GUI applications with FMX

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

Solve your common Azure and Azure DevOps administration problems related to networking, storage and identity management.

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

Learn the key features and implementation strategies of the Apache Camel Enterprise Integration framework