AI-Powered Software Testing: From Planning to Closure | Udemy


AI-Powered Software Testing: From Planning to Closure | Udemy [Update 06/2024]
English | Size: 3.9 GB
Genre: eLearning

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.

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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