Learn Generative AI & AI Agents for Software Testing
Why take this course?
🚀 Course Title: Learn Generative AI in Software Testing 🎓
Course Headline:
Unlock the Power of AI for Efficient Software Testing!
Course Description:
Embark on a transformative journey with our comprehensive online course, designed to equip you with the cutting-edge skills of prompt engineering to harness the capabilities of Generative AI in software testing. This AI Testing course is your gateway to generating test artifacts, automation codes, and experiencing a live demo of an AI-powered testing tool. Learn how to interact with AI intelligently, asking the right questions to receive accurate and timely responses that cater to your everyday testing needs.
🔍 What You Will Explore:
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Phase 1: Generative AI in Test Planning & Execution
- Creating AI-driven test plans and requirements
- Generating unit, integration, and functional test cases
- Producing relevant test data for diverse testing scenarios
- Developing automation scripts for test cases
- Crafting custom utility code methods to automate repetitive tasks
- Configuring framework-related files using AI insights
- Writing Cucumber feature files and step definitions with real, working code
- Producing UI tests using popular libraries like Selenium, Cypress, and Playwright
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Phase 2: AI-Powered Testing Tools & Codeless Automation
- An introduction to the landscape of AI-powered testing tools
- Achieving codeless automation with AI QA tools
- Generating test automation code from business analyst requirements
- Exploring self-healing capabilities to maintain test stability
- Understanding intelligent reporting and defect management systems
- Conducting a hands-on demo of writing complex tests in plain English
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Phase 3: Advanced AI Applications in Testing
- Parsing JSON responses with simple AI prompts
- Generating JSON paths using natural language
- Creating POJO classes from complex JSON files using AI prompts
- Developing Rest Assured automation tests using contract documentation
- Generating custom utility code methods to validate API responses on-the-fly
- Producing AI-driven tests for web applications and APIs using libraries like Rest Assured, Cypress, and Playwright
- Formulating SQL queries from complex database tables with the help of AI
Why This Course?
- Practical Application: Learn through real-world scenarios and live demonstrations.
- Hands-On Experience: Engage in hands-on exercises that solidify your understanding.
- Cutting-Edge Knowledge: Stay ahead of the curve with the latest advancements in AI for testing.
- Expert Guidance: Be mentored by Rahul Shetty, an experienced professional in software testing and Generative AI.
Join us to redefine the boundaries of software testing and leverage the full potential of AI to streamline your processes, enhance productivity, and ensure top-quality software delivery. 🌟
Enroll now and transform your approach to software testing with Generative AI! 🚀✨
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Comidoc Review
Our Verdict
Learn Generative AI & AI Agents for Software Testing is an insightful course offering a deep dive into the world of AI applications in testing. Expertly delivered by Rahul Shetty, it provides valuable understanding and practical experience on various AI-powered tools. However, some content might seem basic to seasoned professionals and could benefit from more diversity in tool coverage.
What We Liked
- The course offers a comprehensive introduction to Generative AI and its applications in software testing, including test plan creation, test case generation, and data generation.
- Explores AI agents for browser automation, demonstrating how to perform automated tasks with plain English instructions.
- Showcases popular AI-powered testing tools and integrates AI agents into existing automation frameworks.
- Real-world examples and GEMINI (AI) demonstrations provide hands-on experience, making concepts easier to grasp.
Potential Drawbacks
- Some content may be basic for experienced QA professionals, making certain sections seem average in terms of material.
- Lacks explicit guidance on implementing AI tools for database query execution within testing environments.
- Slightly skewed towards automation with minimal focus on manual work for functional QAs.
- Limited information provided on specific tools like testRigor, Testim, and testSigma.