Course Code

intelltest

Duration

14 hours (usually 2 days including breaks)

Requirements

An understanding of the importance of software testing

Audience

Software Testers

Overview

Software testing is the process of evaluating the validity of a software application's functionality. Integrating artificial intelligence into the software testing environment enables the process to be AI driven, speeding up authoring, execution, and maintenance of tests.

This instructor-led, live training (online or onsite) is aimed at software testers who wish to have an AI driven software testing environment.

By the end of this training, participants will be able to:

Automate unit test generation and parameterization with AI.
Apply machine learning learning in a real world use-case.
Automate the generation and maintenance of API tests with AI.
Use machine learning methods to self-heal the execution of Selenium tests.

Format of the Course

Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

Course Customization Options

To request a customized training for this course, please contact us to arrange.

Course Outline

Day One:

Introduction

What is AI

Computational Psychology
Computational Philosophy

Machine Learning

Computational learning theory
Computer algorithms for computational experience

Deep Learning

Artificial neural networks
Deep learning vs. machine learning

Day Two:

Preparing the Development Environment

Installing and configuring Parasoft Jtest
Installing and configuring Parasoft SOATest's Smart API Test Generator
Installing and configuring Selenium

Unit Tests and Parameterization

Using AI-enabled Jtest
Creating stubs and mocks
Building isolated tests
Generating new unit tests
Applying modified parameters

API Test Generation

Creating a data model of parameters
Applying learned patterns to API tests
Generating automated API tests
Outputting an advanced test

Selenium and Self-Healing

Working with Parasoft Selenic
Extracting DOM elements
Performing U-I driven tests
Storing information into an AI engine
Matching changed elements
Generating smart locators

Summary and Conclusion

Testimonials

★★★★★

I like examples to explain

AUO友达光电（苏州）有限公司

Course:OptaPlanner in Practice

Machine Translated

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper

Course:Computer Vision with OpenCV

The trainer was so knowledgeable and included areas I was interested in.

Mohamed Salama

Course:Data Mining & Machine Learning with R

I generally enjoyed the knowledgeable trainer.

Sridhar Voorakkara

Course:Neural Networks Fundamentals using TensorFlow as Example

I was amazed at the standard of this class - I would say that it was university standard.

David Relihan

Course:Neural Networks Fundamentals using TensorFlow as Example

Very good all round overview. Good background into why Tensorflow operates as it does.

Kieran Conboy

Course:Neural Networks Fundamentals using TensorFlow as Example

I liked the opportunities to ask questions and get more in depth explanations of the theory.

Sharon Ruane

Course:Neural Networks Fundamentals using TensorFlow as Example

I liked the new insights in deep machine learning.

Josip Arneric

Course:Neural Network in R

We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.

Tea Poklepovic

Course:Neural Network in R

I mostly enjoyed the graphs in R :))).

Faculty of Economics and Business Zagreb

Course:Neural Network in R

Very flexible.

Frank Ueltzhöffer

Course:Artificial Neural Networks, Machine Learning and Deep Thinking

I generally enjoyed the flexibility.

Werner Philipp

Course:Artificial Neural Networks, Machine Learning and Deep Thinking

Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for.

Commerzbank AG

Course:Neural Networks Fundamentals using TensorFlow as Example

I was benefit from topic selection. Style of training. Practice orientation.

Commerzbank AG

Course:Neural Networks Fundamentals using TensorFlow as Example

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn

Course:Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - NBrown Group

Course:From Data to Decision with Big Data and Predictive Analytics

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan Mistry - NBrown Group

Course:From Data to Decision with Big Data and Predictive Analytics

I genuinely liked excercises

L M ERICSSON LIMITED

Course:Machine Learning

I really appreciated the crystal clear answers of Chris to our questions.

Léo Dubus

Course:Neural Networks Fundamentals using TensorFlow as Example

I liked the lab exercises.

Marcell Lorant - L M ERICSSON LIMITED

Course:Machine Learning

The Jupyter notebook form, in which the training material is available

L M ERICSSON LIMITED

Course:Machine Learning

There were many exercises and interesting topics.

L M ERICSSON LIMITED

Course:Machine Learning

Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)

L M ERICSSON LIMITED

Course:Machine Learning

It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.

Attila Nagy - L M ERICSSON LIMITED

Course:Machine Learning

The easy use of the VideoCapture functionality to acquire video images from laptop camera.

HP Printing and Computing Solutions, Sociedad Limitada Unipe

Course:Computer Vision with OpenCV

I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.

HP Printing and Computing Solutions, Sociedad Limitada Unipe

Course:Computer Vision with OpenCV

I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.

HP Printing and Computing Solutions, Sociedad Limitada Unipe

Course:Computer Vision with OpenCV

It was easy to follow.

HP Printing and Computing Solutions, Sociedad Limitada Unipe

Course:Computer Vision with OpenCV

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge

Course:Introduction to R with Time Series Analysis

About face area.

中移物联网

Course:Deep Learning for NLP (Natural Language Processing)

The informal exchanges we had during the lectures really helped me deepen my understanding of the subject

Explore

Course:Deep Reinforcement Learning with Python

It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback

Kamila Begej - GE Medical Systems Polska Sp. Zoo

Course:Machine Learning – Data science

I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered many topics and everything was done in a very detailed manner (especially tuning of model's parameters - I didn't expected that there will be a time for this and I was gratly surprised).

Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo

Course:Machine Learning – Data science

the last day. generation part

Accenture Inc

Course:Python for Natural Language Generation

The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.

Accenture Inc

Course:Python for Natural Language Generation

The remote classroom setting worked very well

Trimac Management Services LP

Course:Introduction to R with Time Series Analysis

Good detail on what R is used for and how to start using it right away

Hoss Shenassa - Trimac Management Services LP

Course:Introduction to R with Time Series Analysis

The many practical examples / assignments that we went through were great. For me, I learn better by seeing examples and applying them elsewhere. The use of real data and applying what was taught against it was extremely valuable. Michaels PowerPoint presentations and his ability to work through each solution was invaluable.

Trimac Management Services LP

Course:Introduction to R with Time Series Analysis

The exercises.

Elena Velkova - CEED Bulgaria

Course:Predictive Modelling with R

Practical exercises with R were very helpful.

CEED Bulgaria

Course:Predictive Modelling with R

The trainer was a professional in the subject field and related theory with application excellently

Fahad Malalla - Tatweer Petroleum

Course:Applied AI from Scratch in Python

Ewa has a passion for the subject and a huge wealth of knowledge. She impressed all of us with her knowledge and kept us all focused through the day.

Rock Solid Knowledge Ltd

Course:Machine Learning – Data science

Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain

Richard Blewett - Rock Solid Knowledge Ltd

Course:Machine Learning – Data science

So much breadth and topics covered. I felt it was a huge subject to try and cover in 3 days - the trainer did what they could to cover everything almost exactly on time!

Rock Solid Knowledge Ltd

Course:Machine Learning – Data science

Adjusting to our needs

Sumitomo Mitsui Finance and Leasing Company, Limited

Course:Kubeflow

Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject

Ali Kattan - TWPI

Course:Natural Language Processing with TensorFlow

the way he present everything with examples and training was so useful

Ibrahim Mohammedameen - TWPI

Course:Natural Language Processing with TensorFlow

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.