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via Udemy |
Go to Course: https://www.udemy.com/course/next-gen-qa-integrating-generative-ai-in-software-testing/
Certainly! Here is a detailed review and recommendation for the Coursera course "GenAI & Prompt Engineering for QA, Automation & Performance Testing" offered by Isha Training Solutions: --- **Course Review: "GenAI & Prompt Engineering for QA, Automation & Performance Testing"** I recently had the opportunity to explore the course "GenAI & Prompt Engineering for QA, Automation & Performance Testing" on Coursera, offered by Isha Training Solutions. This course is an excellent resource for QA professionals, automation testers, developers, and anyone involved in software testing who wishes to harness the power of Generative AI to enhance their workflows. **Content and Structure** The course is a comprehensive, hands-on program thatcovers essential concepts of artificial intelligence, large language models (LLMs), and prompt engineering. It begins with foundational knowledge, making it accessible for learners new to AI, while also providing advanced techniques for experienced practitioners. The modules include engaging lectures, real-world examples, and practical exercises that enable learners to grasp complex ideas effectively. What sets this course apart is its focus on applying AI tools like ChatGPT and JMeter across different stages of the testing lifecycle— from requirement analysis and test planning to execution and reporting. The curriculum emphasizes designing effective prompts, understanding AI model behaviors, and tuning parameters such as tokens, temperature, and context length to optimize results. **Practical Relevance** The course excels in demonstrating how Generative AI can improve test coverage, automate repetitive tasks, and generate insightful reports. It also addresses security concerns and ethical considerations, ensuring that learners are equipped with responsible AI usage skills. Techniques such as few-shot and zero-shot prompting are thoroughly explained, offering learners advanced methods to generate precise and context-aware test cases. **Pros** - Clear, structured content suitable for both beginners and advanced users - Real-world examples and practical exercises - Focus on applicable skills like prompt engineering, test automation, and performance testing - Insight into AI parameters and their impact on outputs - Coverage of ethical AI usage and security considerations **Cons** - As the course is a recording of live sessions, there are instances where interactions may vary in clarity. - Participants unfamiliar with basic AI concepts may need supplemental resources for full comprehension. **Recommendation** I highly recommend this course to QA professionals, automation testers, and developers eager to incorporate AI into their testing processes. The skills gained here can significantly enhance efficiency, accuracy, and insights in software testing. Before enrolling, I suggest reviewing the free preview videos to ensure the teaching style aligns with your learning preferences. This course is an excellent investment for those looking to stay at the forefront of testing technologies with AI. --- **In summary**, "GenAI & Prompt Engineering for QA, Automation & Performance Testing" offers valuable, practical training that bridges the gap between AI advancements and software testing practices. Whether you are aiming to improve test automation, reduce manual effort, or explore innovative testing methodologies, this course provides the must-know techniques to leverage Generative AI effectively. --- If you'd like, I can help you craft a shorter summary or a personalized review based on your specific interests!
Welcome to "Isha Training Solutions"** Please note: This course is a recording of live sessions, so you will hear student interactions throughout. We recommend watching the free preview videos first. If you like the content, you can then decide whether it's worth your time and investment.**'GenAI & Prompt Engg for QA, Automation & Performance Testing' is a comprehensive, hands-on course designed to equip Automation Testers, Performance testers, software testers, QA professionals, and developers with the knowledge and skills to harness the power of Generative AI in modern testing workflows.Through engaging lectures and real-world examples, this course covers the foundations of artificial intelligence, large language models (LLMs), and prompt engineering. Participants will learn how to design effective prompts, understand AI model behavior, and apply these tools to various stages of the software testing lifecycle - from requirement analysis to test planning, execution, and reporting.With a strong emphasis on practical use cases, security considerations, and ethical AI usage, this course ensures participants are ready to confidently integrate AI tools like ChatGPT and JMeter into their daily testing activities for improved accuracy, efficiency, and insight.Students will also explore key AI parameters such as tokens, temperature, and context length, and how tuning them impacts results. The course highlights techniques like few-shot and zero-shot prompting, enabling more precise and context-aware test generation. Whether you're aiming to improve test coverage or reduce manual workload, this course provides the tools and techniques to take your QA practices to the next level using cutting-edge AI capabilities.