Locust Load Testing for Beginners: Hands-On & Practical
Course 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 Overview
This 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 Structure
Performance Testing Foundations
This section covers:
Core performance testing concepts
Reasons systems fail under load
Load, Stress, Spike, Volume, Endurance, and Scalability testing
Practical examples for better understanding
No prior experience in performance testing is required.
Core Concepts and Terminology
Topics include:
Concurrent users and requests
Throughput and response time
SLA, SLO, and SLIs
Application, database, and network bottlenecks
Client-side and server-side performance issues
Python and Locust Fundamentals
This section introduces Python basics required for load testing:
Data types, loops, functions, and object-oriented concepts
Exception handling
Writing readable and maintainable Locust scripts
The content is suitable for testers and learners without a development background.
API Automation and Load Testing
This section covers:
API fundamentals
Python Requests library
Basic API automation workflows
HTTP methods including GET, POST, PUT, PATCH, and DELETE
Authentication using JWT and Bearer tokens
Data-driven testing using CSV and JSON
Core and Advanced Locust Concepts
Learners will work with:
Locust project structure
User behavior modeling
Multiple API workflows
Request chaining
Validation and error handling
Headless execution and dynamic load patterns
Interpreting Locust results
Real-World Scenarios and Result Analysis
This section focuses on:
Executing performance tests for real-world scenarios
Stress, spike, volume, scalability, and endurance testing
Analyzing response time metrics and errors
Identifying performance bottlenecks
Exporting results and creating reports
Interview Preparation and Career Guidance
This section discusses:
Performance testing best practices
Common interview discussion areas
Professional expectations in performance testing roles
Intended Audience
Beginners in performance testing
Manual and automation testers
QA and quality engineers
Backend and API engineers
Learners preparing for performance testing or reliability roles
Technologies Covered
Python
Locust
Requests Library
Postman
CSV and JSON
APIs and test applications
Learning Outcomes
After completing this course, learners will be able to:
Design performance testing strategies
Automate APIs using Python
Build load tests using Locust
Analyze performance test results
Apply performance testing concepts in practical scenarios
Instructor Note
This course is designed with practical experience and clear explanations to support structured learning and skill development.
Let’s begin the journey!
