AI-Powered Software Testing: From Planning to Closure

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1. Fundamentals of Generative AI

1. What is generative AI.mp4

02:52

2. Comparing AI, ML, DL, LLMs, and Generative AI.mp4

04:42

3. How is Generative AI and LLM related.mp4

02:44

4. Capabilities of LLM.mp4

02:34

5. Limitations of LLM.mp4

02:33

2. Understanding LLMs

1. Words, Tokens and Context window.mp4

02:36

2. Exploring Gemini.mp4

04:29

3. Exploring ChatGPT.mp4

04:32

4. Exploring Anthropic Claude.mp4

04:15

3. Prompt Engineering

1. Definition and key concepts.mp4

02:26

2. Elements of a Prompt.mp4

04:18

3. Prompting Techniques- Zero-Shot prompting.mp4

02:19

4. Prompting Techniques- Few Shot Prompting.mp4

02:33

5. Lets Practice Prompting techniques.mp4

07:49

6. Prompt strategies for getting better results.mp4

14:21

4. Requirement Analysis

1. Requirement Analysis Phase - Kick Off.mp4

02:29

2. Analyze and understand requirements Suggest how requirement can be tested.mp4

06:03

3. Power of Conversational Prompt - Security testing use case.mp4

04:50

4. Refine Requirements.mp4

05:25

5. Identify testable requirements.mp4

06:27

6. Defining the functional testing scope for the Requirements.mp4

04:43

7. Functional testing scope with csv and input as list of requirements.mp4

06:04

8.1 transcript.html

8. Interact with stakeholders to clarify requirements.mp4

06:21

9. Identify testing priorities and focus areas.mp4

05:22

10. Analyze high priority testing area - Payment Gateway Integration.mp4

06:01

11.1 Requirement Analysis - Prompts.pdf

11. Use Cases and Prompts Discussed.html

5. Test Planning

1. Test Planning Phase - Kick Off.mp4

02:47

2.1 Ecommerce-SRD.docx

2. Define High Level Testing Objectives.mp4

07:40

3.1 Ecommerce Project Refined High-Level Testing Objectives .docx

3. Building Test Strategy.mp4

08:24

4.1 Ecommerce-user story.xlsx

4. Create a detailed test plan document.mp4

07:38

5. Create a section of test plan document.mp4

05:32

6. Estimate functional testing effort.mp4

06:23

7. Estimate performance testing effort.mp4

05:24

8. Identifying testing tools.mp4

06:57

9. Identifying Test Environment needs.mp4

06:48

10. Define roles and responsibilities.mp4

04:34

11. Delegation with RACI Matrix.mp4

05:30

12. Plan for training needs - Automation Framework.mp4

05:38

13.1 E-Commerce Project Testing Objectives and Strategies.docx

13. Define Test Criteria (entry and exit).mp4

07:41

6. Test Case Development

1. Test Case Development Phase - Kick Off.mp4

02:22

2. Create Test cases for E-commerce Checkout Flow.mp4

06:36

3. Create Test Scenarios for API Automation.mp4

05:45

4.1 Opencart - TestCases.xlsx

4. Test Case Review - Suggest Test Case Improvements.mp4

09:07

5.1 Opencart - TestCases.xlsx

5. Test Case Review - Identify Missing Test Cases.mp4

05:42

6. Test Data Creation.mp4

06:39

7. Test Data Script Creation for MYSQL Database.mp4

06:27

8.1 Video Ediitng App -SRD.docx

8. Identify Functionality for Automation.mp4

05:43

9. Feature File Creation.mp4

06:24

10. Create Test Scripts using Feature Files.mp4

09:26

11. Test Script Maintenance.mp4

07:00

7. Test Environment Setup

1. Test Environment Setup Phase - Kick Off.mp4

02:05

2. Selecting the right Test Data Management (TDM) Tool.mp4

07:16

3.1 Test Plan - Messaging Mobile App.docx

3. Messaging Mobile App Cloud Environment Setup - Identify Cloud Service Model.mp4

07:07

4.1 Messaging Application Budget and resource constraints.docx

4. Identifying Cost-Effective Cloud Service Model.mp4

07:58

5.1 Video ediitng - Testable Requirement.xlsx

5. Test Environment Checklist Preparation.mp4

06:12

6. Test Environment Checklist Template Preparation.mp4

08:03

7. AWS Environment setup for Banking Application APIs.mp4

06:42

8. Troubleshooting API Gateway Throttling Errors.mp4

06:56

9.1 Banking api gateway logs.docx

9. Identifying the Actual Cause of Throttling Errors.mp4

07:58

10. Test Case Design for Smoke Testing to verify the environment setup.mp4

05:23

11.1 AWS Resource Configuration for Backend API.docx

11. Verify the environment setup- Identify cloud monitoring tools.mp4

05:27

12. Comparing Environment Configurations.mp4

05:39

13. Generating Test Environment Setup Document.mp4

07:04

8. Test Execution

1. Test Execution Phase - Kick Off.mp4

02:09

2.1 Video Streaming App-Defects.xlsx

2. Identify Potential root cause of the failure.mp4

07:54

3. Prioritize Potential root causes identified.mp4

03:33

4. Log defects for any discrepancies.mp4

04:41

5. Defect Logging Diving Deeper.mp4

09:50

6.1 Defect Report DTC LF 6298.docx

6.2 TC LF 021.xlsx

6. Retest defects once they are fixed.mp4

07:36

7. Create Detailed Defect Report.mp4

07:05

9. Test Closure

1. Test Closure Phase - Kick Off.mp4

01:57

2.1 Defect Logs for Video Editing Application.docx

2. Defect Trend Analysis.mp4

07:22

3. Defect Trend Analysis - Digging Deeper.mp4

09:34

4.1 OpenCart - Test Plan.docx

4.2 OpenCart - TestAssets.xlsx

4. Test Coverage Analysis.mp4

09:19

5.1 VdoEditingApp- TestAssets.xlsx

5. Documenting Lessons Learned.mp4

09:25

6. Documenting Lessons Learned - Prompting for Additional Information.mp4

04:03

10. Ethical considerations

1. Data Privacy and Security.mp4

01:30

2. Bias in AI.mp4

02:29

3. Transparency and Explainability.mp4

02:09

4. Human Oversight and Control.mp4

01:43

Description

Revolutionize Software Testing using AI: Master STLC with ChatGPT, Gemini, and Claude

What You'll Learn?

Master the fundamentals of Generative AI, understanding the relationships between AI, ML, DL, and LLMs, and their applications in software testing.
Learn to optimize requirement analysis using AI, including refining requirements, creating traceability matrices, and identifying testable components.
Enhance test planning skills by using LLMs to define objectives, create detailed test plans, estimate efforts, and identify necessary resources.
Improve test case development through AI-assisted design, review, and generation of test data and scripts, increasing coverage and efficiency.
Master AI-driven test execution techniques, including root cause analysis, defect logging, retesting, and comprehensive reporting.
Utilize LLMs to streamline test closure activities, including metric analysis, trend identification, and preparation of final test result reports.

Who is this for?

Quality Assurance engineers and testers looking to enhance their skills with AI-driven techniques and stay ahead in their field.

Test Managers and Team Leads responsible for overseeing testing processes and want to implement cutting-edge AI solutions to improve efficiency and effectiveness.

Individuals from other IT backgrounds who are moving into software testing roles and want to enter the field with advanced, AI-powered skills.

Students and Fresh Graduates in Computer Science: Those who have a basic understanding of software development and testing, and want to specialize in AI-enhanced testing methodologies for a competitive edge in the job market.

Software Developers with Testing Responsibilities: Developers who are involved in testing activities and want to leverage AI to streamline their testing processes.

What You Need to Know?

Basic understanding of software testing concepts (optional)

A curious mindset and willingness to explore new technologies in software testing.

More details

Description
Revolutionize Software Testing with AI: Master LLMs for Quality Assurance
Unlock the potential of Artificial Intelligence to transform your software testing approach. This comprehensive course empowers you to harness the power of Large Language Models (LLMs) to streamline, enhance, and elevate your testing process.
Dive deep into:
AI Fundamentals: Grasp the core concepts of Generative AI, Machine Learning, Deep Learning, and LLMs. Learn how to apply these technologies to revolutionize software testing.
LLM Mastery: Become proficient in using LLMs like Gemini, ChatGPT, and Anthropic Claude. Discover the art of prompt engineering to extract maximum value from these powerful tools for testing purposes.
Hands-on Practice: Apply your knowledge through real-world projects covering the entire Software Testing Life Cycle (STLC). Learn to leverage AI at every stage, from requirements gathering to test closure.
Key Learning Outcomes:
Master AI-driven techniques for efficient requirement analysis and risk identification.
Optimize test planning and estimation using AI-powered tools.
Create robust test cases and scenarios with the assistance of LLMs.
Build and manage efficient test environments with AI guidance.
Analyze test results, identify defects, and optimize future testing cycles using AI.
Understand the ethical implications of AI in testing and ensure responsible practices.
By the end of this course, you'll be equipped to:
Dramatically improve software quality through AI-enhanced testing strategies.
Boost testing efficiency and reduce time-to-market.
Make data-driven decisions to optimize your testing processes.
Communicate effectively with stakeholders about the benefits of AI in testing.
Prerequisites:
A foundational understanding of software testing is beneficial but not essential.
A curious mindset and enthusiasm for exploring cutting-edge technologies are key.
Join us and embark on a journey to become a next-generation software tester, leveraging AI to drive innovation and excellence in quality assurance.
Who this course is for:
Quality Assurance engineers and testers looking to enhance their skills with AI-driven techniques and stay ahead in their field.
Test Managers and Team Leads responsible for overseeing testing processes and want to implement cutting-edge AI solutions to improve efficiency and effectiveness.
Individuals from other IT backgrounds who are moving into software testing roles and want to enter the field with advanced, AI-powered skills.
Students and Fresh Graduates in Computer Science: Those who have a basic understanding of software development and testing, and want to specialize in AI-enhanced testing methodologies for a competitive edge in the job market.
Software Developers with Testing Responsibilities: Developers who are involved in testing activities and want to leverage AI to streamline their testing processes.

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Instructor's Courses

Learning is always an ongoing process and pushes one out of comfort zone to try new and exciting things to advance knowledge and career.You just need a holding hand to get started.There is no doubt, when we are ready to learn new things , we are overhwelmed with so much information on web , and at last we give up due to no structured path to learning.Since beginning my motive is to help students learn through practical example in a structured manner so that they remain engaged and enjoy the learning processWith 8+ years of extensive experience in API Virtualization and Testing with strong handson on API Architecture and replacing the real backend systems with virtual one to fasten delievery in Devops.I help customers to leverage real power of Service Virtualization and design end to end solutions to remove dependencies .Worked with many reputed clients and IT Organizations to shape the delievry process.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.

language english
Training sessions 79
duration 7:27:04
Release Date 2024/11/03

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