Generative AI ChatGPT and Google BARD for Software Engineers

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Dan Andrei Bucureanu

4:58:53

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1. Introduction

1. Introduction.mp4

03:59

2. Prompt Anatomy.mp4

04:17

3. Cascade Prompting.mp4

02:33

2. Google BARD - Orientation

1. Access to Google Bard.mp4

01:40

2. Important Links.mp4

03:26

3. Generate Alternative Answers.mp4

02:03

4. Change Tone and Lenght of Answer.mp4

02:21

5. Exporting Answers.mp4

02:02

6. Files and URL Manipulation.mp4

03:11

3. Google BARD - Explain Concept

1. Explain why do we need Quality Engineering.mp4

04:38

2. Explain a Framework - Selenium Webdriver.mp4

04:10

3. Compare 2 Testing Frameworks.mp4

04:58

4. Explain Concept - Test Pyramid.mp4

05:29

5. Explain Code - Java.mp4

06:10

6. Narrow down Results - Shifting Left.mp4

06:25

7. Explain Non Functional Testing.mp4

07:13

4. Google BARD - Practical - Create API CICD Test Framework

1. Understand Test Scope.mp4

01:55

2. Identify Test Scenarios and Data.mp4

02:56

3. Smoke Test from Command Line.mp4

04:00

4. Fix Comand Line Test.mp4

02:16

5. Create Java Project.mp4

03:06

6. Creating first Test Case.mp4

04:53

7. Resolve Dependencies.mp4

03:47

8. Execute First Test.mp4

04:18

9. Add Tests to Suite.mp4

04:36

10. Execute Java Test from Command Line.mp4

02:37

11. Create GitHub Repository.mp4

05:35

12. Setup Github Actions.mp4

06:30

13. Run Test on Azure Application.mp4

08:18

5. CHAT GPT - Accelerate Test Artifact Generation

1. Rapid Start your documentation.mp4

05:49

2. Aid in toolling and framework assesment.mp4

11:27

3. Using Generative AI to validate User Stories.mp4

06:24

4. Using ChatGPT for generating Test Cases from Acceptance Criteria.mp4

04:38

5. Automatically modify Tests.mp4

05:11

6. Generative AI for Test Data and Code

1. Generate Given When Then Scenarios.mp4

02:07

2. Generate Cucumber Feature Files.mp4

02:08

3. Generate Cucumber files with project context.mp4

01:56

4. Generate Automated Tests with Chat GPT.mp4

02:28

5. Generate Automated Tests with project context.mp4

02:00

6. Transform from Code to BDD - Cucumber.mp4

02:48

7. Adapting code with CHATGPT.mp4

02:23

8. Generate API call from Source Code.mp4

03:31

9. Using Chat GPT to help configure Postman.mp4

03:15

10. Seting up CLI Execution for Postman.mp4

02:30

11. Switch from one format to another Postman - Rest assured.mp4

03:41

12. Generate Test Data with AI.mp4

02:52

13. Generate SQL Queries.mp4

06:17

14. Generate large volumes of data.mp4

04:48

15. Setup Containers with AI - Docker.mp4

05:22

16. Using AI to add jobs in CICD pipeline.mp4

04:23

17. Using AI for setting up performance testing pipelines - GOOGLE LIGHTHOUSE.mp4

04:17

7. Complete Performance Project Creation with AI - CICD - Cloud Azure

1. Selecting the tool with AI.mp4

02:45

2. Create first performance Test Script.mp4

07:35

3. Add listener to Test Script.mp4

03:01

4. Adding Threads and Users.mp4

05:07

5. Generating Random Test Data.mp4

06:28

6. AI FAIL - Adding Results Summary.mp4

06:30

7. Adding Results Summary - The Solution.mp4

02:05

8. Running from Command Line.mp4

04:44

9. Creating Container Image.mp4

04:02

10. Setting up GITHUB Action.mp4

11:46

11. Run the Test in a Pipeline.mp4

03:00

12. Make Results Available.mp4

03:30

8. Aditional Material - Vertex AI -Google

1. Setting up the account.mp4

03:14

2. Create Project.mp4

01:54

3. Orientation in Vertex AI.mp4

01:58

4. Prompt Examples.mp4

02:50

5. First Prompt.mp4

02:18

6. Temperature of Model.mp4

02:19

7. Model Training - Manual.mp4

03:22

8. Model Training JSONL.mp4

01:51

9. Connecting through an API.mp4

03:20

9. Conclussion

1. Final Words.mp4

05:37

Description

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

Who is this for?

Business Analysts

Quality Engineers

Software Engineers

Scrum Masters

Engineering Managers

What You Need to Know?

no programming experience needed

More details

Description
This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.
Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models.
Topics:
Understanding Generative AI: An overview of Generative AI and its applications in software testing and quality assurance.
Automated Test Generation: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage.
User Behavior Simulation: Explore how Generative AI can simulate user behavior to test different scenarios and edge cases that might be difficult to anticipate manually.
Automated User Story Creation: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process.
Test Data Creation: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort.
Code Investigation: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies.
Code Explanation: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality.
Boosting Productivity: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times.
[Practical] See how to create a Performance testing Framework with CI/CD on cloud with AI
[Practical] Create an APIÂ Testing Framework with Java and RESTAssured with AI
See differences between CHATGPT and GOOGLEÂ BARD
Google Cloud AIÂ solution with model training - Vertex AI
Who this course is for:
Business Analysts
Quality Engineers
Software Engineers
Scrum Masters
Engineering Managers

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Dan is a passionate quality engineering architect, with more than 17 years in the field. He has helped numerous companies improve the way they look at quality and achieve the right balance of speed relative to product. Dan is a trainer on advanced quality engineering topics and a quality transformation consultant with experience in Automotive, Financial Services, Media, and E- commerce. Currently Dan is leading an software engineering department at a technology company. He possess multiple cloud and quality certifications and is also an auditor of quality engineering based on the TPI NEXT method.

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