Description

Master Performance Testing and API Load Testing with Locust (Beginner to Advanced)This course provides a complete and structured introduction to performance testing and API load testing using Locust. It starts with foundational concepts and gradually progresses to advanced, real-world load testing scenarios.The course focuses on understanding performance testing concepts, system behavior under load, and practical implementation using Python and Locust.Course OverviewThis course is designed to build a strong foundation in performance testing concepts along with hands-on automation skills.Learners will begin with basic principles, understand different types of performance testing, learn Python fundamentals, automate APIs, and design and execute load tests commonly used in real projects.By the end of the course, learners will be able to approach performance testing problems with clarity and structured thinking.Learning StructurePerformance Testing FoundationsThis section covers:Core performance testing conceptsReasons systems fail under loadLoad, Stress, Spike, Volume, Endurance, and Scalability testingPractical examples for better understandingNo prior experience in performance testing is required.Core Concepts and TerminologyTopics include:Concurrent users and requestsThroughput and response timeSLA, SLO, and SLIsApplication, database, and network bottlenecksClient-side and server-side performance issuesPython and Locust FundamentalsThis section introduces Python basics required for load testing:Data types, loops, functions, and object-oriented conceptsException handlingWriting readable and maintainable Locust scriptsThe content is suitable for testers and learners without a development background.API Automation and Load TestingThis section covers:API fundamentalsPython Requests libraryBasic API automation workflowsHTTP methods including GET, POST, PUT, PATCH, and DELETEAuthentication using JWT and Bearer tokensData-driven testing using CSV and JSONCore and Advanced Locust ConceptsLearners will work with:Locust project structureUser behavior modelingMultiple API workflowsRequest chainingValidation and error handlingHeadless execution and dynamic load patternsInterpreting Locust resultsReal-World Scenarios and Result AnalysisThis section focuses on:Executing performance tests for real-world scenariosStress, spike, volume, scalability, and endurance testingAnalyzing response time metrics and errorsIdentifying performance bottlenecksExporting results and creating reportsInterview Preparation and Career GuidanceThis section discusses:Performance testing best practicesCommon interview discussion areasProfessional expectations in performance testing rolesIntended AudienceBeginners in performance testingManual and automation testersQA and quality engineersBackend and API engineersLearners preparing for performance testing or reliability rolesTechnologies CoveredPythonLocustRequests LibraryPostmanCSV and JSONAPIs and test applicationsLearning OutcomesAfter completing this course, learners will be able to:Design performance testing strategiesAutomate APIs using PythonBuild load tests using LocustAnalyze performance test resultsApply performance testing concepts in practical scenariosInstructor NoteThis course is designed with practical experience and clear explanations to support structured learning and skill development.Let’s begin the journey!