Software Development · PPL

JMeter Performance Testing Certification

A specialist-level program designed to develop practical skills in performance, load, stress, and scalability testing using Apache JMeter for web applications and APIs.

  • 3 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹12,999.00 Per delegate

This course is accredited by PPL

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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to Performance Testing

  • Performance testing concepts
  • Performance objectives
  • Load testing
  • Stress testing
  • Scalability testing
  • Performance testing lifecycle

Module 2: Introduction to Apache JMeter

  • JMeter overview
  • JMeter architecture
  • Key capabilities
  • Supported protocols
  • JMeter components
  • Common use cases

Module 3: JMeter Installation & Setup

  • Java requirements
  • JMeter installation
  • Directory structure
  • Starting JMeter
  • GUI interface
  • Initial configuration

Module 4: Understanding Test Plans

  • Test Plan structure
  • Test elements
  • Execution hierarchy
  • Test configuration
  • Saving test plans
  • Running tests

Module 5: Thread Groups

  • Virtual users
  • Number of threads
  • Ramp-up period
  • Loop count
  • User behaviour
  • Thread execution

Module 6: Samplers

  • HTTP Request sampler
  • Request configuration
  • GET requests
  • POST requests
  • Request parameters
  • Request bodies

Module 7: Listeners & Test Results

  • View Results Tree
  • Summary Report
  • Aggregate Report
  • Graph results
  • Result interpretation
  • Listener considerations

Module 8: Assertions

  • Response assertions
  • Duration assertions
  • Size assertions
  • JSON assertions
  • Validation rules
  • Failure identification

Module 9: Timers & User Behaviour

  • Timer concepts
  • Constant Timer
  • Random timers
  • Think time
  • Pacing
  • Realistic user behaviour

Module 10: Parameterisation

  • Test data
  • CSV Data Set Config
  • Variables
  • Dynamic inputs
  • Multiple users
  • Data-driven performance testing

Module 11: Correlation

  • Dynamic values
  • Response extraction
  • Regular expressions
  • JSON extraction
  • Passing extracted values
  • Correlation techniques

Module 12: HTTP & Web Application Testing

  • HTTP configuration
  • Headers
  • Cookies
  • Sessions
  • Authentication
  • Web request testing

Module 13: API Performance Testing

  • REST APIs
  • HTTP methods
  • JSON payloads
  • Request headers
  • Response validation
  • API workload testing

Module 14: Workload Modelling

  • User workload
  • Concurrent users
  • Transaction distribution
  • Ramp-up strategy
  • Test duration
  • Realistic workload design

Module 15: Load Testing

  • Load test objectives
  • Expected workload
  • User concurrency
  • Test execution
  • Performance measurement
  • Result analysis

Module 16: Stress & Scalability Testing

  • Stress scenarios
  • Breaking points
  • Resource limits
  • Scalability behaviour
  • Capacity considerations
  • Performance degradation

Module 17: Performance Metrics

  • Response time
  • Throughput
  • Latency
  • Error rate
  • Percentiles
  • Transactions per second

Module 18: Server-Side Monitoring

  • CPU utilisation
  • Memory utilisation
  • Network activity
  • Database performance
  • Resource bottlenecks
  • Monitoring correlation

Module 19: Distributed Testing

  • Distributed architecture
  • Controller and workers
  • Remote execution
  • Test distribution
  • Configuration considerations
  • Large-scale testing

Module 20: Non-GUI Execution & Reporting

  • Command-line execution
  • Non-GUI mode
  • Test result files
  • HTML reports
  • Report analysis
  • Execution practices

Module 21: Scripting & Advanced JMeter Techniques

  • JMeter functions
  • User-defined variables
  • Pre-processors
  • Post-processors
  • Scripting concepts
  • Reusable test components

Module 22: CI/CD & Performance Test Optimisation

  • Automated performance testing
  • CI/CD integration
  • Pipeline execution
  • Performance thresholds
  • Bottleneck analysis
  • Test optimisation
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— About this course

Course Overview

The JMeter Performance Testing program equips working professionals with practical skills for designing, executing, and analysing performance tests using Apache JMeter. Participants learn test plans, thread groups, samplers, listeners, assertions, parameterisation, correlation, HTTP testing, API testing, workload modelling, load and stress testing, distributed testing, result analysis, performance metrics, scripting, monitoring, reporting, and CI/CD integration.

— What you will master

Course Objectives

01

Understand performance testing concepts, objectives, and common testing approaches.

02

Configure Apache JMeter and create structured performance test plans.

03

Use thread groups, samplers, listeners, assertions, timers, and configuration elements effectively.

04

Apply parameterisation and correlation to create realistic dynamic test scenarios.

05

Perform web application and API performance testing using JMeter.

06

Design workload models and execute load, stress, and scalability tests.

07

Analyse response times, throughput, latency, percentiles, errors, and system resource metrics.

08

Execute distributed and automated JMeter tests and integrate performance testing into CI/CD workflows.

— Questions answered

Frequently Asked Questions

Who should attend this course?
The course is suitable for performance test engineers, QA engineers, automation testers, software testers, developers, and working professionals involved in application performance testing.
What knowledge should I have before starting?
Basic knowledge of software testing, web applications, HTTP, and APIs is helpful. Previous JMeter experience is not required.
Does the course cover API performance testing?
Yes. Participants learn to create and execute performance tests for REST APIs using HTTP methods, headers, JSON payloads, assertions, and workload scenarios.
Does the course cover load and stress testing?
Yes. The program covers workload modelling, load testing, stress testing, scalability testing, concurrent users, performance limits, and bottleneck identification.
What performance metrics are covered?
The program covers response time, latency, throughput, error rate, percentiles, transactions per second, and server-side resource utilisation.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Ranjan PradhanSenior Project Manager
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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