JMeter Training examines how Apache JMeter is used to measure application behaviour under expected and peak traffic. The course focuses on building test plans, configuring thread groups, sending HTTP requests, managing parameters and assertions, and reading listeners and reports. It also addresses load testing and performance testing workflows for web applications and APIs, helping learners identify response-time issues, throughput limits, and system bottlenecks.
Selenium Remote Control Training examines the original Selenium RC approach to browser-based test automation. Learn how the RC server and client libraries coordinate test execution, use browser commands to verify web application behaviour, and organise repeatable automated web testing workflows. The course also places Selenium RC in context with modern Selenium practices, helping you understand legacy test suites and the evolution of Selenium test automation.
Selenium WebDriver training focuses on building reliable browser-based test automation for modern web applications. Explore how WebDriver controls browsers, locates page elements, manages waits and user interactions, and supports repeatable test execution. The course also examines test automation framework design, reusable test components, cross-browser testing, and strategies for maintaining automated tests as application interfaces change.
Mobile application testing training examines how to validate Android and iOS apps across devices, operating systems, screen sizes, networks, and user interactions. The course focuses on planning mobile test cases, identifying functional and usability defects, testing installation and updates, checking performance under changing connectivity, and reporting issues clearly. It helps learners understand the QA practices needed to assess app reliability before release.
Advanced software testing training examines how modern QA teams design reliable test strategies, automate repeatable checks, and validate software throughout agile delivery. The course subject spans test planning, defect analysis, regression testing, automation concepts, and agile testing methodologies, helping learners assess application quality across changing requirements and release cycles.
QA Testing Training introduces the methods used to evaluate software before release, from understanding requirements to documenting defects. Explore test case design, functional and regression testing, bug reporting workflows, and the testing tools that support reliable quality checks. The course focuses on building practical software quality skills for examining application behaviour, identifying issues clearly, and helping teams deliver stable user experiences.
Manual testing training introduces the methods used to examine software behaviour, identify defects, and verify that features meet documented requirements. The course focuses on software testing fundamentals, test case design, test scenarios, defect reporting, test execution, and regression testing. Learn how testers assess web and application workflows across functional, usability, and compatibility checks while documenting findings clearly for development teams.
ETL Testing Training examines how data is extracted, transformed, and loaded accurately across source systems, staging layers, and target databases. Learn to validate data mappings, transformation rules, record counts, data quality, duplicates, and reconciliation results while identifying failures in warehouse and reporting pipelines. The course focuses on the testing practices needed to verify that business data remains consistent, complete, and dependable throughout the ETL process.
Datacom Testing Training examines how data communication systems are evaluated for protocol behaviour, connectivity, traffic handling, and reliability. The course focuses on network testing concepts across Ethernet, IP, routing, switching, packet flows, and fault analysis, helping learners interpret test results and isolate communication issues. It is suited to those working with network devices, interfaces, and system-level data transmission.
This software testing training course examines how software quality is evaluated before release, from understanding requirements and designing test cases to recording defects and verifying fixes. The online testing course uses virtual testing sessions and hands-on exercises to explore structured testing workflows, clear documentation, test execution, and the role of quality assurance across the software development process.
ISTQB Certification Training introduces the principles, terminology, and structured practices used in software testing. The course focuses on test planning, test design techniques, defect reporting, test levels, and the testing lifecycle, while building familiarity with the concepts assessed in ISTQB exams. Interactive sessions help learners apply foundational testing methods to practical quality-assurance scenarios and organise their exam preparation effectively.
Selenium Java Training focuses on building and maintaining automated browser tests with Selenium WebDriver and Java. Explore locator strategies, waits, page-object design, test execution, assertions, and handling dynamic web elements across modern applications. The course connects Java programming concepts with practical UI testing workflows, helping learners structure reliable test suites, diagnose failures, and automate repeatable functional checks.
Selenium Training focuses on building reliable automated testing workflows for web applications. Explore browser automation with Selenium WebDriver, Python Selenium scripting, test design, locators, waits, assertions, and cross-browser checks. The course also examines how automated test suites fit into CI/CD integration, helping teams run repeatable validation during development and release processes.
The AI & Deep Learning with TensorFlow Training from ZebLearn delivers comprehensive expertise in building, training, and deploying deep learning models using Google's TensorFlow framework for computer vision, NLP, and time series applications. Master TensorFlow/Keras APIs, CNNs/RNNs/Transformers, transfer learning, model optimization, TensorFlow Extended (TFX), TensorFlow Serving, distributed training, and MLOps pipelines for production-grade AI systems with GPU acceleration and edge deployment. Ideal for ML engineers, data scientists, AI researchers, and DevOps professionals developing scalable deep learning solutions for image recognition, language processing, recommendation systems, and real-time inference.
The Advanced Selenium Training from ZebLearn elevates your automation skills with in-depth coverage of Selenium WebDriver, frameworks, and enterprise testing strategies. Delve into TestNG/JUnit integration, Page Object Model, BDD with Cucumber, handling dynamic elements, cross-browser testing, headless execution, CI/CD pipelines with Jenkins, API testing hybrids, performance optimization, and reporting tools like ExtentReports for robust, scalable test automation suites. Designed for QA engineers, SDETs, test automation leads, and DevOps professionals aiming to architect reliable automation frameworks and accelerate software delivery cycles.