Automation and Modern Testing Tools from Coursera

Build on your testing foundation by exploring automation and modern quality assurance practices that shape today’s software industry. This course introduces learners to automation basics, specialized testing techniques, and emerging trends such as AI-powered testing and cloud-based solutions. With a focus on practical skills, you will write simple test scripts, execute performance and API tests, and apply security checks using lightweight tools and frameworks.

You will begin by understanding the value of automation, setting up basic scripts in an integrated development environment, and exploring use cases for functional and regression testing. The course then moves into specialized testing practices where you will run performance, API, and security tests, learn to identify bottlenecks, validate responses, and apply secure coding guidelines.

Finally, you will explore modern approaches to quality assurance including AI-assisted test generation, cloud-based testing platforms, and integration of automated tests within CI/CD pipelines. Through examples, guided exercises, and assessments, you will gain the confidence to apply automation and modern tools in professional projects.

By the end of this course, you will be able to:

- Write and execute simple automation scripts for functional and regression testing.

- Apply performance, API, and security testing techniques using lightweight tools.

- Use AI-based tools for generating and enhancing test coverage.

- Implement cloud-based testing strategies and integrate QA in CI/CD workflows.

Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

What's inside

Syllabus

Foundations of Automation & Testing

This module establishes the groundwork for understanding software testing and the transition from manual to automated approaches. Learners will explore when to use manual testing versus automation, the benefits of automation in ensuring software quality, and the limitations of automation in dynamic or frequently changing environments. The module also introduces test frameworks and highlights performance testing essentials—covering speed, scalability, stability, and methods for identifying bottlenecks. By mastering these fundamentals, learners will gain clarity on when and how automation should be implemented to maximize effectiveness in real-world testing environments.

Career center

Learners who complete Automation and Modern Testing Tools will develop knowledge and skills that may be useful to these careers:

Automation Engineer

As an Automation Engineer, you design, develop, and maintain automated tests and frameworks to ensure software quality and efficiency. This course, "Automation and Modern Testing Tools," is an excellent foundation for this path, guiding you through setting up basic scripts in an integrated development environment and exploring use cases for functional and regression testing. You will apply performance, API, and security testing techniques, which are crucial for thoroughly validating software. The course's focus on integrating automated tests within CI/CD pipelines and using AI-based tools will help you become proficient in modern automation practices, making you a highly capable Automation Engineer ready to contribute to professional projects.

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Software Developer in Test

A Software Developer in Test combines software development expertise with a deep understanding of testing methodologies to build and maintain robust automation frameworks. This course is an ideal fit, as it equips you with practical skills to write and execute simple automation scripts for functional and regression testing. You will set up automation environments in integrated development environments, explore TestNG for structuring tests, and delve into UI automation, which are all core responsibilities of this role. The focus on integrating automated tests within CI/CD pipelines and using AI-based tools for enhancing test coverage specifically prepares you to develop sophisticated, maintainable test solutions.

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Software Test Engineer

As a Software Test Engineer, you are vital in verifying software functionality, reliability, and performance. This course, "Automation and Modern Testing Tools," is exceptionally relevant, as it provides practical skills in writing and executing simple automation scripts for functional and regression testing. You will learn to apply performance, API, and security testing techniques, identifying bottlenecks and validating responses, which are essential for thorough software validation. Furthermore, the modules on TestNG, UI automation, and integrating QA in CI/CD workflows will equip you with the advanced capabilities necessary to manage complex test executions and contribute significantly to software development lifecycles.

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API Test Engineer

An API Test Engineer specializes in validating the functionality, reliability, performance, and security of Application Programming Interfaces, which are the backbone of modern software. "Automation and Modern Testing Tools" offers deep insights into this area, guiding you through API types, common testing challenges, and step-by-step setup of automation environments for API validation. You will gain practical experience in building and executing scripts, validating outputs, and advancing your skills in backend validations. Parsing JSON responses and logging performance metrics for APIs, also covered, are invaluable. This comprehensive training prepares you to confidently ensure the quality and robustness of API integrations.

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Quality Engineer

A Quality Engineer is a proactive role that integrates quality practices throughout the software development lifecycle, heavily leveraging automation and advanced tools. This course, "Automation and Modern Testing Tools," is an excellent fit, building on your testing foundation with modern quality assurance practices. You will gain practical skills in setting up basic scripts, executing performance and API tests, and applying security checks. The modules on TestNG, UI automation, and integrating automated tests within CI/CD pipelines are crucial for building robust quality gates. Utilizing AI-based tools for generating test coverage also aligns with innovative quality engineering, preparing you to drive high standards.

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Performance Test Engineer

A Performance Test Engineer focuses on evaluating how software systems behave under various workloads, ensuring speed, scalability, and stability. This course is particularly beneficial for this career as it dedicates significant attention to performance testing essentials, including methods for identifying bottlenecks. You will gain hands-on experience in executing performance tests using lightweight tools, as well as logging performance metrics, which are critical skills. Understanding cloud-based testing strategies, also covered in the course, is increasingly important for assessing performance in distributed environments. This specialized knowledge will empower you to identify and resolve performance issues effectively, ensuring robust and efficient applications.

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Test Automation Lead

A Test Automation Lead guides teams in implementing and optimizing automated testing strategies across projects. While this role typically requires experience, this course provides the comprehensive technical foundation necessary to excel. You will master writing and executing automation scripts, applying specialized testing techniques for performance and APIs, and using reporting tools like Extent Reports to deliver actionable insights. Furthermore, exploring modern approaches like AI-assisted test generation, cloud-based testing platforms, and CI/CD integration equips you to strategize on cutting-edge solutions, empowering you to effectively mentor teams and drive the adoption of efficient, scalable automation practices.

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Quality Assurance Engineer

A Quality Assurance Engineer ensures software products meet quality standards and user expectations. In today's fast-paced development environments, this role increasingly relies on automation to achieve efficiency and comprehensive test coverage. This course is specifically designed to build on your testing foundation, introducing you to modern quality assurance practices that shape the software industry. You will gain practical skills in writing and executing automation scripts, applying specialized testing techniques for performance and APIs, and exploring AI-assisted test generation to enhance coverage. Mastering these tools will enable you to significantly advance quality assurance processes and ensure high-quality software delivery.

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Automation Consultant

An Automation Consultant advises organizations on the optimal strategies, tools, and implementation for automating their testing and quality assurance processes. This course provides a comprehensive toolkit for this career path, covering automation basics, specialized testing techniques, and emerging trends like AI-powered testing and cloud-based solutions. You will learn to write test scripts, execute various types of tests, and integrate automation within CI/CD pipelines. This broad understanding of modern testing tools and frameworks, from API testing to performance and security checks, allows you to confidently assess client needs, recommend tailored automation solutions, and guide successful implementations across diverse professional projects.

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DevOps Engineer

A DevOps Engineer bridges development and operations, focusing on continuous integration, continuous delivery, and infrastructure automation to streamline software deployment. This course is highly advantageous for an aspiring DevOps Engineer, as it emphasizes modern approaches to quality assurance, including the integration of automated tests within CI/CD pipelines. You will explore critical concepts such as GitHub Actions and YAML configurations, which are fundamental to automating workflows in collaborative teams. Understanding cloud-based testing strategies and their implications for scalability, also covered, is crucial for optimizing deployment processes, empowering you to implement robust, automated pipelines and enhance overall system reliability.

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Integration Engineer

An Integration Engineer focuses on designing, building, and maintaining the connections between different software systems and components, ensuring they work together seamlessly. This course is highly relevant as it provides a strong emphasis on API testing and automation setup, including understanding API types, common challenges, and validating responses. You will gain practical skills in building and executing scripts, validating outputs against expected results, and advancing your API testing capabilities with backend validations and JSON parsing. The modules on DevOps integration and CI/CD workflows are also crucial for ensuring that integrated systems are thoroughly tested and deployed efficiently, making this course invaluable.

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Site Reliability Engineer

As a Site Reliability Engineer, your primary goal is to ensure the reliability, availability, and performance of critical systems. This course offers valuable insights for this demanding field by covering performance testing essentials, including identifying bottlenecks and ensuring scalability. You will learn to apply various testing techniques and integrate automated tests within CI/CD pipelines, which are vital for continuously monitoring and validating system stability. Furthermore, understanding cloud-based testing strategies, also taught, is essential for maintaining resilient services in modern infrastructure. This knowledge will help you proactively identify and mitigate potential issues, contributing significantly to system uptime and user satisfaction.

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Cloud Engineer

A Cloud Engineer designs, implements, and manages cloud-based infrastructure and services. The "Automation and Modern Testing Tools" course, while focused on testing, provides highly relevant modules for this role, specifically exploring cloud-based testing platforms and strategies. You will examine the advantages and challenges of cloud-based testing and its implications for scalability and cost efficiency, which directly translate to broader cloud architecture decisions. Understanding how to integrate QA in CI/CD workflows within cloud environments is also a critical skill for ensuring the robustness of deployed applications. This course will help you build a foundational understanding of cloud capabilities from an operational and quality perspective.

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Release Engineer

A Release Engineer manages the software release lifecycle, ensuring that new features and updates are deployed smoothly and reliably to production. This course is highly relevant, especially its focus on DevOps integration and CI/CD workflows. You will learn about GitHub Actions and YAML configurations, which are essential for automating the build, test, and deployment phases. The ability to integrate automated tests within CI/CD pipelines, as taught in this course, is critical for a Release Engineer to confirm that all quality gates are met before a release, minimizing risks and ensuring a stable and efficient delivery process for new software versions.

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Security Tester

A Security Tester identifies vulnerabilities and weaknesses in software systems to prevent breaches and ensure data protection. While the course "Automation and Modern Testing Tools" is not solely dedicated to security, it may be useful by introducing you to applying security checks, learning to identify secure coding guidelines, and exploring AI-enabled security practices. The module on AI in test automation even touches upon safeguarding applications against vulnerabilities using AI tools. This foundational exposure to security aspects within a broader testing context can provide a valuable starting point for understanding how automation intersects with security validation in software development.

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