Language: English (India)
Next-Gen STLC: Leverage LLMs & Prompt Engineering for End-to-End STLC phases
https://www.udemy.com/course/ai-powered-software-testing-from-planning-to-closure/
Change the way you approach software testing with the power of Artificial Intelligence! This comprehensive course equips you with the skills to revolutionize your testing process by leveraging the latest advancements in AI, specifically Large Language Models (LLMs). What will you learn? Master the Fundamentals: Gain a solid understanding of Generative AI, Machine Learning, Deep Learning, and LLMs. Explore the capabilities and limitations of these technologies and how they can be applied to software testing. Become an LLM Expert: Deep dive into the world of LLMs like Gemini, ChatGPT, and Anthropic Claude. Learn how to leverage their power through prompt engineering. Craft effective prompts to achieve specific testing goals and extract valuable insights from these powerful tools. Hands-on Practice Throughout: This course isn't just theory! Sections 4 through 9 take you through the entire Software Testing Life Cycle (STLC) with a hands-on approach. Learn how to apply AI and prompting techniques to each critical stage, from requirement analysis to test closure. Here's a glimpse of what you'll experience: Requirement Analysis: Leverage AI's conversational capabilities to identify security vulnerabilities and refine requirements for a more robust testing strategy. Test Planning: Effortlessly estimate testing efforts, identify the right tools and environment needs, and define roles and responsibilities with the help of AI. Test Case Design: Craft high-quality test cases and scenarios for various functionalities, including API automation, using feature files and scripting techniques. Test Environment Setup: Learn to navigate cloud environments, identify cost-effective solutions, and troubleshoot errors to ensure a reliable testing infrastructure. Test Execution & Closure: Prioritize potential causes of test failures, log defects effectively, and analyze trends to optimize future testing cycles. But that's not all! We'll also delve into the ethical considerations of using AI in testing, covering data privacy, security, bias, and the importance of human oversight. By the end of this course, you'll be able to: Confidently leverage AI to streamline your software testing process. Design and execute more effective test cases, improving software quality. Increase testing efficiency and reduce overall testing time. Communicate effectively with stakeholders and development teams. Navigate the ethical considerations of AI in testing. Ready to transform your software testing career? Enroll today!
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