Course: Developing AI and Machine Learning Solutions with Python

$249.00
$301.29 incl. vat

duration: 9 hours |

Language: English (US) |

access duration: 90 days

In this online Python training you will learn more about how you can develop Machine Learning solutions with Python. You learn different concepts of Machine Learning and Deep Learning and the different categorizations of algorithms and their implementations using Python.

You will also learn how to implement various supervised and unsupervised algorithms of machine learning with Python, with the primary focus on clustering and classification. You will also learn how to implement a neural network with data sampling and workflow models by using scikit-learn.

Finally, you will learn how to implement data classification using various techniques, including Bayesian, and learn how to apply different search implementations with Python and scikit-learn.

Among topics this course covers are pre- and post-model approaches, machine learning workflows, Robotic Process Automation (RPA), RPA frameworks, UiPath and many more.

Result

You are familiar with the different concepts of machine learning and deep learning. You can implement supervised and unsupervised algorithms by using Python.

Prerequisites

You have knowledge of Python.

Target audience

Software Developer

Developing AI and Machine Learning Solutions with Python

9 hours

AI and ML Solutions with Python: Machine Learning and Data Analytics

Course_Description=<p>Explore critical machine learning (ML) and deep learning concepts and the various categorizations of algorithms and their implementations using Python.</p> TargetAudience= Duration=01:04

AI and ML Solutions with Python: Supervised, Unsupervised and Deep Learning

Course_Description=<p>Discover how to implement various supervised and unsupervised algorithms of machine learning using Python, with the primary focus of clustering and classification.</p> TargetAudience= Duration=01:31

AI and ML Solutions with Python: Deep Learning and Neural Network Implementation

Course_Description=<p>Discover how to implement neural network with data sampling and workflow models using scikit-learn, and explore the pre and post model approaches of implementing machine learning workflows.</p> TargetAudience= Duration=01:03

AI and ML Solutions with Python: Implementing ML Algorithm Using scikit-learn

Course_Description=<p>Discover how to implement data classification using various techniques, including Bayesian, and learn to apply various search implementations with Python and scikit-learn.</p> TargetAudience= Duration=01:14

AI and ML Solutions with Python: Implementing Robotic Process Automation

Course_Description=<p>Discover how to implement Robotic Process Automation (RPA) using Python, and explore various RPA frameworks with the practical implementation of UiPath.</p> TargetAudience= Duration=01:03

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 9 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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