| 1. Access to Google Bard.mp4 | 8.7 MB | ||
| 1. Explain why do we need Quality Engineering.mp4 | 32.8 MB | ||
| 1. Final Words.mp4 | 14.9 MB | ||
| 1. Generate Given When Then Scenarios.mp4 | 14 MB | ||
| 1. Introduction.mp4 | 11.7 MB | ||
| 1. Rapid Start your documentation.mp4 | 52.2 MB | ||
| 1. Selecting the tool with AI.mp4 | 20.7 MB | ||
| 1. Setting up the account.mp4 | 29.7 MB | ||
| 1. Understand Test Scope.mp4 | 14.6 MB | ||
| 10. Execute Java Test from Command Line.mp4 | 20.2 MB | ||
| 10. Seting up CLI Execution for Postman.mp4 | 18.9 MB | ||
| 10. Setting up GITHUB Action.mp4 | 123.4 MB | ||
| 11. Create GitHub Repository.mp4 | 54.6 MB | ||
| 11. Run the Test in a Pipeline.mp4 | 28.9 MB | ||
| 11. Switch from one format to another Postman - Rest assured.mp4 | 30 MB | ||
| 12. Generate Test Data with AI.mp4 | 21.9 MB | ||
| 12. Make Results Available.mp4 | 23.1 MB | ||
| 12. Setup Github Actions.mp4 | 46 MB | ||
| 13. Generate SQL Queries.mp4 | 45.6 MB | ||
| 13. Run Test on Azure Application.mp4 | 84 MB | ||
| 14. Generate large volumes of data.mp4 | 35.9 MB | ||
| 15. Setup Containers with AI - Docker.mp4 | 34 MB | ||
| 16. Using AI to add jobs in CICD pipeline.mp4 | 34.4 MB | ||
| 17. Using AI for setting up performance testing pipelines - GOOGLE LIGHTHOUSE.mp4 | 36.7 MB | ||
| 2. Aid in toolling and framework assesment.mp4 | 88.4 MB | ||
| 2. Create Project.mp4 | 15.4 MB | ||
| 2. Create first performance Test Script.mp4 | 73.1 MB | ||
| 2. Explain a Framework - Selenium Webdriver.mp4 | 28.7 MB | ||
| 2. Generate Cucumber Feature Files.mp4 | 15.1 MB | ||
| 2. Identify Test Scenarios and Data.mp4 | 22.5 MB | ||
| 2. Important Links.mp4 | 30 MB | ||
| 2. Prompt Anatomy.mp4 | 49.5 MB | ||
| 3. Add listener to Test Script.mp4 | 29.8 MB | ||
| 3. Cascade Prompting.mp4 | 25 MB | ||
| 3. Compare 2 Testing Frameworks.mp4 | 31 MB | ||
| 3. Generate Alternative Answers.mp4 | 14.4 MB | ||
| 3. Generate Cucumber files with project context.mp4 | 14.4 MB | ||
| 3. Orientation in Vertex AI.mp4 | 14.1 MB | ||
| 3. Smoke Test from Command Line.mp4 | 39.1 MB | ||
| 3. Using Generative AI to validate User Stories.mp4 | 48.7 MB | ||
| 4. Adding Threads and Users.mp4 | 40.2 MB | ||
| 4. Change Tone and Lenght of Answer.mp4 | 13.1 MB | ||
| 4. Explain Concept - Test Pyramid.mp4 | 44.5 MB | ||
| 4. Fix Comand Line Test.mp4 | 20.9 MB | ||
| 4. Generate Automated Tests with Chat GPT.mp4 | 21.4 MB | ||
| 4. Prompt Examples.mp4 | 29.2 MB | ||
| 4. Using ChatGPT for generating Test Cases from Acceptance Criteria.mp4 | 36 MB | ||
| 5. Automatically modify Tests.mp4 | 43.1 MB | ||
| 5. Create Java Project.mp4 | 25.2 MB | ||
| 5. Explain Code - Java.mp4 | 60.5 MB | ||
| 5. Exporting Answers.mp4 | 12.6 MB | ||
| 5. First Prompt.mp4 | 15.7 MB | ||
| 5. Generate Automated Tests with project context.mp4 | 16.7 MB | ||
| 5. Generating Random Test Data.mp4 | 61.1 MB | ||
| 6. AI FAIL - Adding Results Summary.mp4 | 70.6 MB | ||
| 6. Creating first Test Case.mp4 | 41.7 MB | ||
| 6. Files and URL Manipulation.mp4 | 27.2 MB | ||
| 6. Narrow down Results - Shifting Left.mp4 | 55.2 MB | ||
| 6. Temperature of Model.mp4 | 15.1 MB | ||
| 6. Transform from Code to BDD - Cucumber.mp4 | 21 MB | ||
| 7. Adapting code with CHATGPT.mp4 | 19.2 MB | ||
| 7. Adding Results Summary - The Solution.mp4 | 17.2 MB | ||
| 7. Explain Non Functional Testing.mp4 | 73.3 MB | ||
| 7. Model Training - Manual.mp4 | 21.7 MB | ||
| 7. Resolve Dependencies.mp4 | 31.8 MB | ||
| 8. Execute First Test.mp4 | 36.2 MB | ||
| 8. Generate API call from Source Code.mp4 | 32 MB | ||
| 8. Model Training JSONL.mp4 | 15.8 MB | ||
| 8. Running from Command Line.mp4 | 51 MB | ||
| 9. Add Tests to Suite.mp4 | 42.9 MB | ||
| 9. Connecting through an API.mp4 | 26 MB | ||
| 9. Creating Container Image.mp4 | 35.6 MB | ||
| 9. Using Chat GPT to help configure Postman.mp4 | 20.7 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 75 total files | |||
Testing | Quality Engineering | Gen AI | Examples GPT | BARD
https://CourseWikia.com
Published 8/2023
Created by Dan Andrei Bucureanu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 73 Lectures ( 4h 58m ) | Size: 2.41 GB
Generative AI | Performance Test | API Testing | AI for Quality Engineering
What you'll learn
How to use ChatGPT and Google BARD for Quality Engineering
Improve Test automation with ChatGPT and Google BARD
Setup CI/CD pipelines
How to generate Test Data and Test Scripts with AI
Generative AI for Quality Engineering
Create a full performance test framework with Jmeter in the cloud with CHATGPT
Create a full API Testing test framework with Jmeter and RESTAssured in the cloud with Google BARD
Setup test tools with Google BARD
Improve efficiency of working with Google BARD
Requirements
no programming experience needed
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Udemy - IBM Mainframe Testing - Ensure Quality in Enterprise Systems Posted by
freecoursewb in Other
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3.1 GB | freecoursewb | 1 year | 1 | 0 |
| 867.9 MB | freecoursewb | 2 years | 1 | 3 | |
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Frontend Masters | Enterprise UI Development: Testing & Code Quality [FCO] Posted by
Prom3th3uS in Other
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1.61 GB | Prom3th3uS | 2 years | 4 | 1 |
| 4 GB | freecoursewb | 2 years | 1 | 0 | |
| 2.2 GB | freecoursewb | 4 years | 2 | 0 |
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