Week 4 Exercise - From Learning to Leading – Be the Gen AI Ambassador of your team

​@sarika77 wonderful summary of your key takeaways. it highlights some good high points that we covered in this course.

This is a really amazing task that you have chosen to try out. I am sure you will get good and great results.

Test Data Strategy: Use AI to create different types of test data, including special cases (like very high or low numbers) and large sets of data to test how well the system works in different situations( for edge cases, boundary values).

Wishing you the very best! Congratulations on successfully reaching the end of this course. Cheers!

​@Darshana wonderful summary and good plans.

Wishing you the very best! Congratulations on successfully reaching the end of this course. Cheers!

​@VimalPatel Amazing style of presenting this answer. Like your descriptive take on how you plan to be the Gen AI ambassador.

Remember, we cannot go ahead unless we take the people who work with us ahead too. 

Wishing you the very best! Congratulations on successfully reaching the end of this course. Cheers!

Key Takeaways from the Course

1. AI tools to enhance Productivity: Future tools (Napkin - Assistance for Presentations, Right click Prompt and more..)
2. Different AI Models: Comparison of answers with different models.
3. Prompt Engineering: AI Prompt Repository shared, test case generation, test scenario, test plan and bug analysis.
4. Use Gen AI as an Assistant, but not exclusively. Adjust the response according to the context. Situation awareness Matters.
5. Fine-tuning the prompt according to the context, Asking Questions will provide the answer.
6. It was nice to learn about Gen AI's double-edged Sword.

Important Tasks to Leverage Gen AI in the Coming Three Months

1. Test case Generation
2. Test data Generation
3. Test Script Generation.
4. Bug Reports, focusing on the Impact, simultaneously attempting Root cause analysis
5. Presentations (Napkin)
6. Enhancing Test Reports.

​@satishracherla nice learnings  and interesting takeaways.

even I use napkin for add visual simplicity to my presentations. 

Wishing you the very best! Congratulations on successfully reaching the end of this course. Cheers!

Hi ​@parwalrahul ​@Mustafa ,

Firstly, thanks for creating such a wonderful session and you covered a lot of new tools in week 1 to week 4

I am sharing my learning and preparing  roadmap for become  AI engineer in Software testing career

Key Learnings from the Course:

1.Mastering Gen AI in Testing – Understood how LLMs work, their strengths and limitations, and how to leverage them in real-world test scenarios.I am following this series except your testing content https://testingtitbits.com/aitestingprompts/  

2.Prompt Engineering for Effective Testing – Learned how to craft precise prompts to generate test cases, API requests, and exploratory testing ideas, making AI work smarter for testers., following 

https://testingtitbits.com/ai-usage-for-testers-quadrants-model/,https://testingtitbits.com/ai-in-testing-compiled-resources/

3.Popular Gen AI Use cases in Testing and RAG (Retrieval-Augmented Generation)

4.Leveraging Napkin AI tool  for transforms any text into stunning visuals(presentation as well)

Applying Gen AI in the Next 3 Months :

✅ Automated Test Case Generation
AI will assist in creating test cases, including edge cases, by analyzing past defects and user behavior patterns.

✅ Intelligent Test Data Generation
Using AI to generate synthetic, diverse, and realistic test data for automation, eliminating dependency on static datasets.

✅ AI-Powered Test Report Analysis
Leveraging AI to review test reports, summarize insights, and highlight anomalies, reducing manual effort and improving decision-making.

 Becoming a Gen AI Ambassador in My Team:

1. Conduct internal sessions on AI-driven testing approaches, fostering adoption across the team

2.Sharing AI testing insights through LinkedIn, blogs into encourage AI adoption in QA
3. Optimize AI Integration in QA Processes 

---I have also planned to focus on Log Analysis and Bug Diagnosis as part of my initial Gen AI adoption strategy. This includes exploring Chrome AI Assistance (ask AI ) to simplify bug reporting and integrating Cursor AI into our automation framework for enhanced efficiency. Additionally, I aim to conduct a POC for Lovable AI to evaluate its potential in testing. Recently, I’ve been engaged in this space and am eager to gain fresh insights into its latest advancements.

Gen AI in Testing – Reflections & Next Steps

 Three Key Learnings from the Course:

1. Gen AI is a powerful assistant for test case generation – By feeding user stories, requirements, and historical defects, Gen AI can help draft smarter, more relevant test cases and scenarios faster.

2. Prompt engineering matters – The quality of AI output significantly depends on how we craft our questions. Structuring clear, context-rich prompts is essential for effective results.

3. AI augments, not replaces testers – Gen AI can handle repetitive or creative-heavy tasks, freeing up testers to focus on strategy, exploratory testing, and quality advocacy.

 Three Key Tasks I Plan to Use Gen AI For (Next 3 Months):

1. Test case ideation & edge case generation – Especially for complex user stories or areas with high defect leakage.

2. Defect pattern analysis – To identify recurring issues and suggest preventive test coverage.

3. Creating test data & documentation – Speeding up the creation of sample content for conversion testing (e.g., DOCX to XML, XML2XML transformation ) and summarizing sprint QA notes.

Thank you ​@parwalrahul for being such a patient and energetic mentor. The key takeaway for me is the importance of community and how valuable it is to be part of an engaging session like this.

This course has effectively addressed my queries, clarified misconceptions, and significantly contributed to my learning journey in GenAI.

A special thanks to ​@Mustafa  and ​@Daria  for organizing this insightful course.

Additionally, below are the key topics for me:

1. Prompt Engineering:
   This course enhanced my understanding of prompt engineering in testing. I learned to analyze and refine inputs to design targeted prompts for more precise results. It also improved my ability to enhance GenAI’s comprehension of technical queries. By mastering this skill, I can achieve more accurate and reliable testing outcomes and extract better responses from GenAI models.

2. GenAI in Testing:
   This course provided valuable insights into how testers can leverage GenAI in software testing. It highlighted how Generative AI facilitates quick adaptation to evolving software environments and requirements. Additionally, it demonstrated how AI can assist in generating comprehensive test cases and test plans, streamlining the overall testing process.

3. Retrieval-Augmented Generation:
   (RAG)is an innovative approach in natural language processing that combines the advanced text-generation capabilities of models like GPT with information retrieval. This synergy enables more accurate and contextually relevant responses by accessing external knowledge sources.

Three Key Tasks for me:

1. Deepen Understanding of Prompt Engineering
2. Applying Retrieval-Augmented Generation (RAG) Concepts (** I need to deep dive on RAG concept)
3. Enhance Practical AI Testing Skills: Identify AI-powered testing tools and evaluate how they can fit into your testing ecosystem. Also, implement AI-assisted test case generation and defect prediction in small-scale projects.

​@Bharat2609 superb learning, key takeaways, and plans.

I feel you are already leading the gen ai torch in your circle. 
One of the key focus areas of yours, i.e.  Chrome AI Assistance (ask AI) is also a focus area for me.

It’s powerful and a highly ignored topic in the industry. great job that you plan to learn it well.

Wishing you the very best! Congratulations on successfully reaching the end of this course. Cheers!

​@Kusumketu kudos and cheers to the learner in you. You have been consistent with your learnings, and most importantly demonstrating it in community and social platforms.

RAG is indeed a wide area and rich possibility zone for testers! always there for support if you need any help or more resources into it.

Wishing you the very best! Congratulations on successfully reaching the end of this course. Cheers!