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Software Performance Testing

An online course in Software Performance Testing provides a comprehensive overview of the principles, methods, and tools used to assess and optimize the performance of software applications. The course covers a range of topics, including performance testing techniques, performance metrics, load testing, stress testing, and scalability testing.

Students will learn how to design and execute effective performance tests, analyze and interpret test results, and identify and address performance issues. They will also gain hands-on experience with popular performance testing tools such as JMeter, LoadRunner, and Gatling, as well as languages such as Java and Python.

The course is typically self-paced and may include a combination of video lectures, interactive quizzes, and hands-on exercises. Participants may also have access to online forums and discussion groups where they can interact with other students and instructors.

Some of the techniques covered in the course may include:

  • Performance test planning and design
  • Performance metrics and analysis
  • Load testing and stress testing
  • Scalability testing
  • Performance tuning and optimization

Some of the tools covered in the course may include:

  • Apache JMeter
  • HP LoadRunner
  • Gatling
  • Dynatrace
  • AppDynamics
  • New Relic

Upon completion of the course, students should be able to identify performance issues in software applications and develop effective strategies to optimize their performance. They should also have a solid understanding of the principles and best practices of software performance testing, making them valuable assets to software development teams and IT organizations.

Class Groups


Per Session

30 sessions

Creative Groups


Per Session

30 sessions

Individual Tutoring


Per Session

30 sessions

Course Overview

Course Title: Certificate in software performance testing

Course Duration: The course duration is approximately 4-6 weeks, depending on the pace of learning.

Course Prerequisites: Basic knowledge of software development and testing concepts, familiarity with programming and scripting languages, and understanding of testing tools and frameworks commonly used for performance testing. Some understanding of system architecture may also be helpful.

Course Outcome: The outcome of an online course on software performance testing is typically to provide learners with a solid understanding of performance testing concepts and techniques, including how to plan, design, and execute performance tests, how to analyze and interpret test results, and how to optimize system performance. By the end of the course, learners should be able to apply their knowledge and skills to real-world performance testing scenarios and contribute to the development of high-performance software applications.

Course Syllabus:

Module 1: Introduction to Software Performance Testing

  • Overview of software performance testing
  • Benefits of performance testing
  • Performance testing process
  • Performance testing tools and frameworks

Module 2: Performance Metrics and Analysis

  • Performance metrics and KPIs
  • Types of performance metrics
  • Performance analysis techniques
  • Benchmarking and baselining

Module 3: Performance Test Planning and Design

  • Performance test planning
  • Test scenarios and use cases
  • Performance test types
  • Performance test data preparation

Module 4: Load Testing and Stress Testing

  • Load testing vs. stress testing
  • Load generation techniques
  • Stress testing strategies
  • Measuring performance under load and stress

Module 5: Scalability Testing

  • Understanding scalability
  • Identifying scalability bottlenecks
  • Approaches to scalability testing
  • Analyzing scalability test results

Module 6: Performance Tuning and Optimization

  • Performance tuning techniques
  • Performance optimization best practices
  • Identifying performance bottlenecks
  • Improving application performance

Module 7: Popular Performance Testing Tools

  • Introduction to popular performance testing tools
  • Apache JMeter
  • HP LoadRunner
  • Gatling
  • Dynatrace
  • AppDynamics
  • New Relic

Module 8: Hands-on Performance Testing Exercises

  • Performance testing of a sample application
  • Designing and executing performance test scenarios
  • Analyzing performance test results

Module 9: Conclusion and Next Steps

  • Best practices for software performance testing
  • Career opportunities in performance testing
  • Continuing education resources
  • Next steps for continued learning and professional development.

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