Artificial Intelligence (AI) in Software Testing
Artificial Intelligence (AI) in Software Testing, available at $29.99, has an average rating of 3.73, with 37 lectures, based on 366 reviews, and has 1358 subscribers.
You will learn about You will learn what is Artificial Intelligence (AI) and what is the relationship of AI with Machine Learning, Deep Learning and Data Science. You will also learn how Machines are learning faster than ever. You will learn how you can use Artificial Intelligence (AI) to drive your UI test automation projects. You will also learn how AI test automation tool uses machine learning to speed-up the authoring, execution and maintenance of automated tests. This course is ideal for individuals who are This course is designed for both testers and developers. or Tester who want to develop their testing skills in the test automation with Artificial Intelligence (AI) and Developer who want to execute their unit test in automated way using Artificial Intelligence (AI). It is particularly useful for This course is designed for both testers and developers. or Tester who want to develop their testing skills in the test automation with Artificial Intelligence (AI) and Developer who want to execute their unit test in automated way using Artificial Intelligence (AI).
Enroll now: Artificial Intelligence (AI) in Software Testing
Summary
Title: Artificial Intelligence (AI) in Software Testing
Price: $29.99
Average Rating: 3.73
Number of Lectures: 37
Number of Published Lectures: 37
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- You will learn what is Artificial Intelligence (AI) and what is the relationship of AI with Machine Learning, Deep Learning and Data Science. You will also learn how Machines are learning faster than ever.
- You will learn how you can use Artificial Intelligence (AI) to drive your UI test automation projects. You will also learn how AI test automation tool uses machine learning to speed-up the authoring, execution and maintenance of automated tests.
Who Should Attend
- This course is designed for both testers and developers.
- Tester who want to develop their testing skills in the test automation with Artificial Intelligence (AI) and Developer who want to execute their unit test in automated way using Artificial Intelligence (AI).
Target Audiences
- This course is designed for both testers and developers.
- Tester who want to develop their testing skills in the test automation with Artificial Intelligence (AI) and Developer who want to execute their unit test in automated way using Artificial Intelligence (AI).
**************************THIS COURSE IS RECENTLY UPDATED with quick course summary contents in the form of pdf files (In Section 11: Summary) to host Lunch and Learns sessions for your friends or coworkers****************************************
The reason behind is, I have received lot of good feedback about this course from different group of peoples. They are really excited to know about how Artificial Intelligence can help in Software Testing. They want to teach their friends or coworkers the importance of Artificial Intelligence in Software Testing. They requested that I can come up with 30-40 min quick presentation from my detail course so they can host lunch and learn session for their friends or coworkers. I liked their idea and that’s why I have created quick pdf document called: Learn the Basic Fundamentals of AI in Software Testing in less than 30 minutes.
**************************THIS COURSE IS RECENTLY UPDATED with season 2 course contents. In this season 2, I have added ONE NEW LECTURE CALLED: AI Test Automation Demo using Testim in “Innovative AI Test Automation Tools for the Future” section of the course*********************************
HIGHLIGHTS:
The NEW LECTURE shows how to create AI Test Automation project for Web Application using TESTIM tool. If your company’s application is web application then you can create automation script using TESTIM which uses AI Machine Learning technique. In that video, you will see how you can create automation scripts. You will also see the difference between Coded UI/Selenium scripts and AI scripts. You will be amazed to see that how AI automation scripts PASSED the test execution even if you change the web element all attributes value.
Please periodically check out this course since I am also planning to add new topics (Smart API Test Generator – which uses Artificial Intelligence to convert your Web UI tests into Automated API Tests)including replacing some static slides to animated slides.
***********************************************************************************************************************
Artificial Intelligence (AI) in Software Testing course is the first ever course on UDemy which talks about future of Automated Testing with AI Machine Learning.
I have decided to release this course into two seasons. it requires students to understand basic fundamental of Artificial Intelligence (AI) and the need for AI in Software Testing on first season before we jump into next season where we can deep dive into AI test automation and discussed some innovative tools that we can use for implementing AI in test automation.
This course is designed for both testers and developers. Tester who want to develop their testing skills in the test automation with Artificial Intelligence (AI) and Developer who want to execute their unit test in automated way using Artificial Intelligence (AI).
This course will teach you how AI-assisted test automation can transform the UI. This course will also teach you Artificial Intelligence (AI) and it’s relationship with Machine Learning, Deep Learning and Data Science. After you have completed this course you should be able to build test automation projects for your company’s applications using Artificial Intelligence (AI). This course should also help you for your AI test automation job interview.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Introduction
Chapter 2: Introduction to Artificial Intelligence (AI)
Lecture 1: What is Artificial Intelligence (AI)?
Lecture 2: Types of Artificial Intelligence (AI)
Lecture 3: Why Artificial Intelligence (AI)?
Lecture 4: Using Artificial Intelligence (AI)
Lecture 5: Examples – Applications of Artificial Intelligence (AI)
Chapter 3: Introduction to Machine Learning
Lecture 1: What is Machine Learning?
Lecture 2: Why Machine Learning?
Lecture 3: Examples – Algorithms behind Machine Learning
Chapter 4: Introduction to Deep Learning
Lecture 1: What is Deep Learning?
Lecture 2: Why Deep Learning?
Lecture 3: Example – Deep Learning Vs Machine Learning
Chapter 5: Introduction to Data Science
Lecture 1: What is Data Science?
Lecture 2: Why Data Science?
Lecture 3: Examples – Use Cases of Data Science
Chapter 6: Artificial Intelligence (AI) in Software Testing
Lecture 1: What is AI in Software Testing?
Lecture 2: The Role of AI Testing
Lecture 3: Why do we Need AI in Software Testing?
Lecture 4: Pros and Cons of AI in Software Testing
Lecture 5: Applications of AI in Software Testing
Lecture 6: Is it time for Testers or QA Teams to worry about AI?
Chapter 7: Automated Testing with Artificial Intelligence (AI)
Lecture 1: Implementing AI in Test Automation
Lecture 2: Training the AI Bots
Lecture 3: Challenges with AI-powered Applications
Lecture 4: Examples – Real World use cases using Artificial Intelligence
Lecture 5: Demo – Facial Emotion Detection Using Artificial Intelligence
Lecture 6: Demo – Text Analysis API Using Artificial Intelligence
Lecture 7: Demo – EYE SPY Mobile App Using Artificial Intelligence
Chapter 8: Innovative AI Test Automation Tools for the Future
Lecture 1: Tools used for Implementing AI in Automation Testing
Lecture 2: What is NEXT?
Lecture 3: AI Test Automation Demo using Testim
Chapter 9: Interview Questions
Lecture 1: Interview Questions – Specific to AI Machine Learning in Software Testing
Chapter 10: Bonus Lecture: Robotic Process Automation (RPA)
Lecture 1: What is Robotic Process Automation (RPA)?
Lecture 2: Difference between RPA and AI?
Lecture 3: Benefits of RPA
Lecture 4: Example – How does RPA work?
Chapter 11: Summary
Lecture 1: Course Summary
Instructors
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Sujal Patel
Passionate Test Automation Expert, Consultant and Trainer
Rating Distribution
- 1 stars: 33 votes
- 2 stars: 35 votes
- 3 stars: 101 votes
- 4 stars: 113 votes
- 5 stars: 84 votes
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