Course: Developing AI and ML Solutions with Java

$249.00
$301.29 incl. vat

duration: 10 hours |

Language: English (US) |

access duration: 90 days

In this online artificial intelligence training you will learn more about how the technologies works that drive artificial intelligence (AI). You learn to recognize certain scenarios where you can implement algorithms.

Then you learn the different machine learning techniques and implementations using Java libraries and you get more information about the features and capabilities of Neuroph framework and Neural Networks.

You will also receive more information about how you work with Neural Networks using Neuroph Framework and how you implement this. Then you continue to implement advanced neural networks by using DL4j.

Finally, you will get an explanation about the NLP concept and how to implement this by using the OpenNLP Java library and learn more about optimization by using ND4J and Arbiter.

Result

You can implement different machine learning techniques and neural networks by using Java.

Prerequisites

You have Java knowledge.

Target audience

Software Developer

Developing AI and ML Solutions with Java

10 hours

Developing AI and ML Solutions with Java: AI Fundamentals

Course_Description=<p>Discover the fundamental concepts of the technologies driving artificial Intelligence (AI).</p> TargetAudience= Duration=01:04

Developing AI and ML Solutions with Java: Machine Learning Implementation

Course_Description=<p>Explore the various machine learning techniques and implementations using Java libraries, and learn to identify certain scenarios where you can implement algorithms.</p> TargetAudience= Duration=01:27

Developing AI and ML Solutions with Java: Neural Network and Neuroph Framework

Discover the essential features and capabilities of Neuroph framework and Neural Networks, and also how to work with and implement Neural Networks using Neuroph framework.

Developing AI and ML Solutions with Java: Neural Network and NLP Implementation

Course_Description=<p>Discover how to implement advanced neural network using DL4j and explore the concept of NLP and its implementation using OpenNLP Java library.</p> TargetAudience= Duration=00:57

Developing AI and ML Solutions with Java: Expert Systems and Reinforcement Learning

Course_Description=<p>Explore the concepts of expert system along with its Implementation using Java based frameworks, and examine the implementation and usages of ND4J and Arbiter to facilitate optimization.</p> TargetAudience= Duration=00:48

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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frequently asked quesions

What is included?

Duration 10 hours
Language English (US)
Certificate of participation Yes
Online access 90 days
Monitor Progress Yes
Award Winning E-learning Yes
Mobile ready Yes

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