Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation.
Apply a methodology and practical solutions for monitoring the behavior of the Internet of Things (IoT), industrial control systems (ICS), and other critical network devices with the inexpensive Raspberry Pi.
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.
Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3.
Become a better, more productive programmer through a series of projects that will help you deeply understand and master each of the design patterns covered.
Learn to use the Java Persistence API (JPA) and other related APIs as found in the Java EE 8 platform from the perspective of one of the specification creators.
Work with essential and advanced features of the Java programming language such as Java modules development, lambda expressions (closures), inner classes, threads, I/O, Collections, garbage collection, and more.
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related.
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts.
Build an online messaging app using Java Servlets, JSP, Expression Language, JSTL, JPQL, Sessions/Cookies, HTML/CSS/JavaScript, and the Bootstrap framework.
Build a microservices architecture with Spring Boot, by evolving an application from a small monolith to an event-driven architecture composed of several services.
Build Android apps using the popular and efficient Android Studio 3 suite of tools, an integrated development environment (IDE) for Android developers using Java APIs.
Use the JavaFX platform to create rich-client Java applications and discover how you can use this powerful Java-based UI platform, which is capable of handling large-scale data-driven business applications for PC as well as mobile and embedded devices.
Learn Docker "e;infrastructure as code"e; technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.
