[100% Off] Locust Load Testing For Beginners: Hands-On &Amp; Practical
Learn Locust load and performance testing with Python for web apps and REST APIs, stress testing and real-world projects
What you’ll learn
- Understand performance testing fundamentals including load testing
- stress testing
- and scalability testing using Locust.
- Write and execute Locust load testing scripts using Python to simulate real-world user behavior for web applications and REST APIs.
- Perform load
- stress
- and distributed testing with Locust to simulate thousands of concurrent users and high-traffic scenarios.
- Test web applications and REST APIs effectively by handling authentication
- validating responses
- and creating realistic user flows.
- Analyze Locust test results and performance metrics such as response time
- throughput
- error rate
- and bottlenecks.
- Design real-world
- production-ready load testing strategies that can be applied in projects
- interviews
- and professional performance testing roles.
Requirements
- Basic understanding of Python is helpful but not mandatory — all required Python concepts are explained from scratch.
- No prior experience required
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:
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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:
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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!
