This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.
In this course, we will start with extremely basic concepts such as learning the programming language fundamentals and other supporting libraries. Then we will proceed with the core topics with the help of real-world datasets to gain a complete understanding of deep learning using Python and Keras.
Build next-gen programming skills using RxJava 3.0 and Reactive Streams
Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. In this course, you will learn about the various cloud service models and how to manage Azure with CLI.
Start your journey with the amazing Arduino development platform
A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API
Learn Orchestration and Automation in DevOps with Puppet with lectures, demos, and hands-on coding exercises
This course will introduce Burp Suite and demonstrate the common modules and tools used by web application hackers to find and exploit vulnerabilities. This course provides practical examples through the PortSwigger labs and DVWA to help solidify the concepts and give you the opportunity to exploit systems.
Pre-process and Analyze Satellite Remote Sensing Data with Free Software
This course starts with the basics of Recurrent Neural Networks (RNNs) with Python and then teaches you how to build them by taking you through various exercises and projects. You will be able to test your skills by completing two exciting projects: creating an automatic book writer and a stock price prediction application.