Agile Methodology in Testing: Principles, Best Practices & Real-World Examples (2025)

Did you know? In 2025, Agile software testing is getting a boost from AI and machine learning, enabling self-healing test scripts and instant bug detection. 

AI can now pinpoint the exact root cause of a failure in seconds, something that once took testers hours! 

Agile methodology in testing is a flexible approach where testing is integrated throughout the software development process, not just at the end. This method ensures that issues are caught early and resolved quickly, making it ideal for fast-paced projects. If you’re struggling with slow, outdated testing practices, Agile testing methods could be the solution. 

By the end of this article, you’ll understand how Agile can improve your software quality and speed up delivery.

Improve your agile testing skills with upGrad’s online software engineering courses. Specialize in cybersecurity, full-stack development, and much more. Take the next step in your learning journey! 

What is Agile Methodology in Testing? An Overview

Agile methodology in testing refers to integrating testing throughout the software development cycle, rather than treating it as a separate phase at the end. It is a collaborative, ongoing process between developers and testers. 

Working together from the very beginning ensures that testing is aligned with development, minimizing the risk of defects and improving the overall product quality. The iterative nature of Agile offers regular opportunities for feedback and adjustments.

This approach is vital in fast-paced environments like e-commerce platforms where quick delivery and adaptability are essential. Continuous testing enables rapid deployment of new features without disrupting user experience. Even in the healthcare industry, it ensures that critical applications maintain high reliability and compliance with regulations.

Mastering Agile testing methods means knowing how and when to apply them in real projects. Using them well keeps your testing efficient, adaptable, and your software delivery on track. Here are three programs that can help you:

• Professional Certificate Program in Cloud Computing and DevOps
• Executive Post Graduate Certificate Programme in Data Science & AI
• Generative AI for Business Leaders

If you're struggling with slow, outdated testing methods that delay project delivery and frustrate teams, you're not alone. Traditional testing often waits until the end of the development process, causing bottlenecks and quality issues. 

This is where Agile methodology in testing comes in. By using Agile testing methods, teams can test continuously and collaborate seamlessly throughout the development cycle.

With Agile methodology in testing, the principles focus on making testing more integrated, continuous, and flexible. Here’s how these principles work in practice:

• Continuous Testing: In Agile, testing isn’t an afterthought. It's done throughout the development cycle. For example, if a developer pushes a new feature, the testing team immediately runs automated tests to catch issues right away, avoiding delays. This is one of the agile testing methods that ensure quality at every stage.
• Collaboration and Communication: Developers and testers work together from the start. In an e-commerce project, for instance, testers join sprint planning meetings to clarify acceptance criteria for each feature, ensuring the product meets customer expectations. This seamless collaboration is a key aspect of Agile software testing examples.
• Iterative Process: With Agile, testing happens in short, iterative cycles. For example, after every sprint, testers evaluate new features in isolation and ensure they work with existing ones. This continuous feedback loop allows for quick fixes and ensures the software improves over time.

These principles of Agile testing keep the process smooth, adaptable, and efficient, helping teams deliver high-quality software faster.

Also Read: Agile Methodology Steps & Phases: Complete Explanation

While traditional testing methods often lead to delays and missed issues, Agile methodology in testing addresses these problems by integrating testing throughout the development cycle. With agile testing methods, teams can continuously test and adapt, ensuring faster feedback and smoother workflows. 

Let's look at how Agile testing differs from traditional approaches and why it's more effective for modern projects.

Also Read: Waterfall vs Agile: Difference Between Waterfall and Agile Methodologies

Start by integrating agile testing methods into your workflows. Collaborate early with your developers, run tests continuously, and focus on iterative feedback. Look at agile software testing examples to see how successful teams implement these practices.

To further enhance your approach, dive into the different Agile testing frameworks and concepts that ensure continuous improvement. 

Key Concepts and Practices in Agile Software Testing

A solid grasp of Agile software testing core concepts and practices can greatly improve testing strategies and Agile success. Knowing these principles will allow testers to proactively identify issues, collaborate effectively with team members, and ensure the software meets both user expectations and business requirements.

These principles will also ensure proactive issue identification, effective team collaboration, and alignment with evolving user and business needs, fostering flexibility and high-quality outcomes in Agile projects.

Automation in Agile Software Testing

Source: blog.devops.dev/

In Agile testing, automation is indispensable for keeping pace with iterative development cycles. It ensures quicker feedback, earlier detection of defects, and supports the continuous integration and delivery pipeline integral to Agile methodologies.

Here are some key benefits of test automation in Agile:

• Provides consistent and reliable test coverage.
• Supports continuous integration and deployment  (CI/CD).
• Reduces manual effort and repetitive tasks.

Here are some best practices you can follow when implementing automation in Agile:

• Integrate automation from the beginning of the development process.
• Automate test cases for repetitive and high-risk functionalities.
• Foster close collaboration between developers, testers, and stakeholders.
• Regularly update and refactor automation scripts to align with changes.

Here is a list of popular test automation tools you can use for your Agile testing:

• Selenium: Ideal for web application testing.
• Appium: Best suited for mobile testing.
• Jenkins: For integrating automated tests in CI/CD pipelines.
• Postman: Widely used for API testing.
• TestNG: For advanced reporting and test case management.

Also Read: Top 21 Best Agile Project Management Tools

Source: atlassian

• Continuous Testing: Ongoing testing at every stage of development to identify and resolve issues early.
• Sprint-Based Testing: Testing efforts are synchronized with development sprints, ensuring features are tested as soon as they are developed.
• Regression Testing: Regularly re-testing existing functionalities to ensure that new changes do not introduce defects.
• Collaboration and Communication: Promoting close collaboration among testers, developers, and product owners to clarify requirements and enhance quality.
• Early Testing: Shifting testing activities earlier in the development cycle to catch issues sooner, reducing downstream costs.

These focus areas define the overarching principles and processes that guide Agile testing to ensure it is iterative, collaborative, and aligned with rapid development cycles.

Also Read: Sprint Planning in Agile Methodology: Its Importance and Benefits

Here are some popular Agile testing tools:

• JIRA: For managing testing tasks and tracking progress.
• Zephyr: Integrated test management in JIRA.
• Cucumber: Supports Behavior-Driven Development (BDD) testing.
• SoapUI: For API and service testing.
• LoadRunner: Performance and load testing.

Concentrating on these focus areas will allow Agile teams to maintain the balance between speed and quality, enabling reliable software delivery.

Also Read: Agile Methodology in Testing: Models, Benefits & Examples

Knowing the different concepts involved in Agile software testing and the different tools used is just the first step. To truly excel, you should also be familiar with its methodologies and models. Take time to explore how each model fits your project’s needs, and experiment with combining methods to find what works best for your team. 

Focus especially on methodologies like Scrum, Lean, and XP, and testing methods such as TDD, ATDD, and BDD. 

Agile Testing Methodologies and Models: A Comprehensive Approach

Agile testing is designed to adapt seamlessly to different methodologies and development models. Each of them facilitate distinct workflows that cater to different project needs, ensuring Agile testing is adaptable across industries.

Here’s a table outlining the methodologies in various settings:

Also Read: DevOps vs Agile: Difference Between DevOps and Agile

Now, let’s see how each Agile methodology in testing works:

1. Scrum

Testing in Scrum is tightly integrated within the sprint cycles. Testers participate in planning sessions to understand user stories and acceptance criteria. Testing is performed continuously during development, with a focus on sprint reviews and delivering a potentially shippable product at the end of each sprint.

Example: A software team uses sprint-based automated regression tests to ensure the stability of existing features while testing new functionality incrementally.

Also Read: What is Agile Scrum Methodology? A Complete Guide

2. Crystal Methodologies

Crystal focuses on simplicity and adaptability, adjusting processes based on the project's size and complexity. Testing is typically informal and involves a mix of manual and automated testing depending on the project requirements.

Example: A small startup uses manual exploratory testing alongside unit tests to quickly validate its prototype.

3. Dynamic Systems Development Method (DSDM)

DSDM integrates testing at every stage of the project, ensuring that all deliverables are functional and meet user requirements. It emphasizes iterative development and frequent testing to provide early feedback.

Example: A financial institution uses DSDM to validate its transaction modules iteratively, ensuring compliance with strict regulatory standards.

4. Feature-Driven Development (FDD)

In FDD, testing is focused on individual features. Each feature undergoes unit testing during development and integration testing before merging into the main application.

Example: A retail company uses FDD to test and deploy individual features like a recommendation engine or a payment gateway.

5. Lean Software Development

Lean testing emphasizes waste reduction, rapid feedback, and continuous improvement. Automated testing is prioritized to minimize delays, while performance testing ensures the system can handle anticipated workloads.

Example: A logistics company employs Lean principles to automate testing of its real-time tracking system, reducing manual errors.

6. eXtreme Programming (XP)

XP incorporates test-driven development (TDD) and continuous integration, ensuring testing is a proactive and integral part of the development process. Pair programming and automated testing are key practices.

Example: A fintech startup adopts XP for developing a payment gateway, writing unit tests before coding to ensure a bug-free product.

Understanding how each methodology incorporates testing helps Agile teams to adopt practices best suited to their projects.

Also Read: Safe Agile vs Agile: Difference Between Agile and Safe Agile 

Focus on adapting the methodology that best suits your team’s needs—whether it’s Scrum for iterative sprints or Lean Software Development for efficiency. Pay attention to agile testing challenges and solutions as you encounter them, and remember that continuous testing and collaboration will keep the process smooth. 

Use agile software testing examples from other industries to fine-tune your approach and improve your core testing practices in Agile development.

Core Testing Practices in Agile Development

Agile testing methods provide the flexibility and collaboration needed to maintain high standards without slowing down progress. But even with Agile methodology in testing, teams face agile testing challenges and solutions that need to be addressed for smoother execution. 

The testing practices in agile development offers actionable solutions and best practices for agile testing that will help streamline your process and tackle these challenges effectively.

Test-Driven Development (TDD)

TDD is a development practice where tests are written before writing the actual code. It follows a "test-first" approach to guide coding and ensure the functionality meets the desired outcomes.

Here’s how you implement it:

• Write a test for a specific functionality.
• Run the test to ensure it fails (since the functionality isn't implemented yet).
• Write the minimum code required to pass the test.
• Refactor the code for optimization while ensuring the test still passes.
• Repeat for additional functionalities.

These are some of its benefits:

• Reduces bugs by catching issues early.
• Enhances code quality and maintainability.
• Encourages modular and testable code design.

Example: A developer writes a unit test to validate a login feature before implementing the authentication logic.

Acceptance Test-Driven Development (ATDD)

ATDD focuses on writing acceptance tests based on user stories and requirements before development begins. These tests define the criteria for a feature to be considered complete and acceptable.

Here’s how you implement it:

• Collaborate with developers, testers, and stakeholders to define acceptance criteria.
• Translate acceptance criteria into test cases.
• Develop the functionality to satisfy the tests.
• Validate that the implementation passes the predefined acceptance tests.

These are some of its benefits:

• Aligns development with business goals.
• Improves communication and collaboration among team members.
• Ensures the software meets user requirements.

Example: Before developing a shopping cart feature, the team defines an acceptance test: "A user can add an item to the cart and view the total price."

Behavior-Driven Development (BDD)

BDD builds upon ATDD by using natural language to define application behavior. It ensures all stakeholders (technical and non-technical) can understand the system's behavior through shared specifications.

Here’s how you implement it:

• Use a domain-specific language (e.g., Gherkin) to write behavior scenarios in a "Given-When-Then" format.
• Develop tests and code to satisfy the behavior scenarios.
• Run automated tests to validate the implementation.

These are some of its benefits:

• Enhances collaboration between technical teams and stakeholders.
• Provides clear, unambiguous documentation of expected behavior.
• Simplifies understanding of requirements for all parties.

Example: A BDD scenario for a login feature–given the user is on the login page, when they enter valid credentials and click "Login," they are redirected to their dashboard.

These practices help Agile teams ensure higher-quality software through early testing, iterative improvements, and continuous feedback loops.

Also Read: Agile Framework: All You Need To Know

Use agile software testing examples to guide your team in implementing agile methodology in testing effectively. Focus on early testing, continuous feedback, and collaboration to unlock the benefits of agile testing, faster delivery, fewer bugs, and higher-quality products.

Adapt these practices, and keep refining them through the Agile Testing Life Cycle to improve your testing process with each sprint.

The Agile Testing Life Cycle: A Step-by-Step Breakdown

Many teams struggle with inconsistent testing practices and often find quality issues too late in the development cycle. By following the Agile Testing Life Cycle, teams can ensure that testing is planned, executed, and reviewed at every stage, helping to catch defects early and improve product quality. 

Before diving in, it's essential to understand agile testing methods. The core principles of agile methodology in testing will provide the foundation for applying the life cycle effectively.

1. Planning Phase

The planning phase sets the foundation for the sprint by defining objectives, understanding requirements, and preparing the testing strategy. Collaboration among team members ensures that testing considerations are incorporated from the outset.

Here are the key activities in this phase:

• Sprint Planning: Define sprint goals and deliverables. Identify user stories and prioritize them based on business value.
• Requirement Analysis: Collaborate with stakeholders to clarify acceptance criteria. Break down user stories into detailed tasks.
• Test Strategy Development: Determine the types of testing needed (e.g., functional, regression, performance). Use tools like TestRail or Zephyr to outline the testing strategy, covering functional, regression, and performance testing.
• Test Case Preparation: Create and review test cases in tools such as Jira or qTest. Develop automated test scripts using frameworks like Selenium or Cypress.
• Resource Allocation: Assign testing tasks using project management tools like Asana or Trello, ensuring the availability of testing environments and tools like AWS or Azure DevTest Labs.

Emphasis on Collaboration: Engage testers, developers, and product owners in planning sessions. Foster a shared understanding of quality goals and testing responsibilities.

Also Read: Resource Management Projects: Examples, Terminologies, Factors & Elements

2. Design Phase

During the design phase, the team focuses on creating detailed designs and preparing for development. Testing activities ensure that designs are testable and align with user requirements.

Here are the key activities in this phase:

• Test Design: Use tools like Xray or TestLink to develop detailed test scenarios and cases. Prepare datasets with Mockaroo or Faker.js.
• Environment Setup: Leverage Docker or Kubernetes to configure testing environments that mirror production settings. Ensure all dependencies and integrations are in place for accurate testing.
• Automation Planning: Use Selenium WebDriver, Playwright, or TestCafe to identify and develop test cases suitable for automation. Develop or update automated test scripts to support continuous testing. 
• Risk Assessment: Analyze potential risks using tools like RiskWatch and define mitigation strategies. Prioritize testing efforts based on risk impact and likelihood. 

Emphasis on Testability: Ensure designs are clear, consistent, and support effective testing. Address any ambiguities or gaps in requirements before development begins. Tools like Lucidchart or Draw.io can help visualize workflows and identify inconsistencies.

A strong foundation in design thinking can help teams navigate this phase more effectively, fostering innovation and driving meaningful progress. Exploring upGrad’s free course on design thinking, can provide valuable insights to enhance your approach.

3. Development Phase

The development phase involves coding and building the features defined in the sprint. Testing activities are integrated closely with development to ensure immediate feedback and early defect detection.

Here are the key activities in this phase:

• Continuous Integration (CI): Merge code changes frequently to detect integration issues early. Run automated tests as part of the CI pipeline to validate new code. Use tools like Jenkins, GitHub Actions, or GitLab CI/CD to merge code changes frequently and validate them through automated tests.
• Test-Driven Development (TDD): Write unit tests before developing new features. Ensure that each piece of code passes its corresponding tests. Implement TDD using frameworks like JUnit (for Java), RSpec (for Ruby), or Mocha (for JavaScript).
• Exploratory Testing: Conduct ad-hoc testing with tools like Session Tester or Rapid Reporter to uncover unexpected issues. Encourage testers to explore the application beyond predefined test cases. 
• Defect Tracking and Management: Use tools like Bugzilla, Jira, or Azure DevOps to log and prioritize defects. Collaborate with developers to resolve issues promptly. 

Emphasis on Early Feedback: Facilitate rapid detection and resolution of defects. Promote a culture of continuous improvement and quality assurance.

Also Read: Jenkins Continuous Deployment [With Practical Example]

4. Execution Phase

The execution phase is where testing activities are actively carried out to validate the functionality, performance, and reliability of the developed features. This phase ensures that the product meets the defined acceptance criteria and is ready for delivery.

Here are the key activities in this phase:

• Functional Testing: Validate that each feature operates according to the specified requirements. Use tools like Postman for API testing and Selenium for UI testing to ensure functionality aligns with requirements.
• Regression Testing: Re-test existing features to ensure that new changes have not introduced defects. Automate regression tests using tools like TestComplete or Katalon Studio to validate existing features.
• Performance Testing: Use tools like JMeter or LoadRunner to assess application responsiveness, stability, and scalability under various conditions. Conduct load and stress testing to identify performance bottlenecks. 
• User Acceptance Testing (UAT): Collaborate with stakeholders using tools like UserTesting or UsabilityHub to gather feedback and ensure business needs are met.
• Bug Fixing and Verification: Address defects identified during testing. Re-test fixed issues to confirm their resolution. Track and resolve issues using Jira or Azure DevOps.

Emphasis on Thorough Validation: Ensure comprehensive coverage of all functional and non-functional requirements. Validate the product’s readiness for release through rigorous testing.

Also Read: Functional vs Non-functional Requirements: List & Examples

5. Review Phase

The review phase involves evaluating the outcomes of the sprint, assessing the quality of the work done, and identifying areas for improvement. This phase promotes continuous learning and refinement of testing practices.

Here are the key activities in this phase:

• Sprint Review Meeting: Use collaboration tools like Miro or MURAL to demonstrate completed features to stakeholders and gather feedback. 
• Test Results Analysis: Analyze test metrics using tools like TestRail or qTest to assess the effectiveness of testing efforts.
• Retrospective Meeting: Reflect on successes and challenges using tools like RetroTool or Parabol to identify actionable improvements.
• Documentation and Reporting: Update test documentation with tools like Confluence or Notion and share insights with the team.

Emphasis on Continuous Improvement: Use feedback to enhance testing strategies and practices. Foster an environment of open communication and collaborative problem-solving.

These steps ensure that testing is an integral, continuous process that enhances collaboration, accelerates feedback, and maintains high-quality delivery throughout each sprint.

Also Read: What is Agile Project Management? Everything You Need to Know

Focus on aligning each phase of testing with the development sprints, ensuring continuous feedback and quick adjustments. Use agile software testing examples from other teams to refine your process.  

Adapt it to your team’s needs and improve each sprint, with real-life examples guiding your Agile testing approach.

Real-World Examples of Agile Software Testing 

Agile software testing has proven to be a game-changer for organizations across industries. Integrating methodologies like TDD, ATDD, and BDD, and utilizing tools such as Docker, Selenium, and Jira have helped businesses streamline their development processes, fostering collaboration and minimizing defects early in the lifecycle.

The following examples illustrate how Agile testing practices have been applied effectively to overcome challenges, improve team efficiency, and achieve measurable business outcomes. 

1. E-Commerce: Enhancing User Experience and Speed to Market

An online retail platform needed to rapidly introduce new features to stay competitive in the dynamic e-commerce market. Traditional testing methods were causing delays, hindering the ability to respond to market demands promptly.

They implemented Agile testing:

• Developers wrote unit tests before coding new features.
• Automated tests were integrated into the CI/CD pipeline using Jenkins and Selenium.
• Utilized Cucumber to create clear and understandable test scenarios.

These were the outcomes:

• Early detection of defects reduced post-release bugs.
• Release cycles shortened significantly.
• Frequent updates and reliable features led to an increase in customer retention.

Also Read: Product Management in E-commerce Industry: Skills, Roles & Challenges

2. Healthcare: Ensuring Compliance and Reliability

A healthcare company developed a patient management system that required strict compliance with healthcare regulations and high reliability to ensure patient data security and accurate record-keeping.

They implemented Agile testing:

• Collaborated with stakeholders to define clear acceptance criteria for each user story.
• Implemented automated tests (using TestNG and SoapUI) to continuously verify that new updates did not compromise existing functionalities.
• Conducted regular testing cycles within each sprint to maintain compliance.

These were the outcomes:

• Achieved full compliance with HIPAA regulations through rigorous testing.
• Enhanced system uptime and reduced critical bugs.
• Streamlined the development process without sacrificing reliability.

Also Read: Understanding Health Management Information Systems: Its Utility and Significance

3. Financial Services: Accelerating Feature Deployment and Enhancing Security

A bank aimed to launch a new online banking platform with advanced security features while maintaining a tight schedule to meet market expectations.

They implemented Agile testing:

• Adopted pair programming and test-driven development to ensure high code quality and security.
• Used Jenkins and JUnit for automated testing of security protocols and transaction processing.
• Engaged testers to perform security-focused exploratory tests, identifying vulnerabilities beyond automated scripts.

These were the outcomes:

• Identified and mitigated critical security vulnerabilities early in the development.
• Reduced the time to market through efficient Agile practices and automated testing.
• Increased customer confidence in the online banking platform.

Also Read: 9 Interesting Jenkins Project Ideas & Topics [For Beginners & Experienced]

4. Telecommunications: Managing Complex Integrations and Ensuring Service Quality

A telecom company needed to develop a new unified communication platform that integrated multiple services such as messaging, video conferencing, and VoIP, requiring seamless interoperability and high service quality.

They implemented Agile testing:

• Focused on developing and testing individual features incrementally.
• Utilized automated tools to continuously test API integrations between different services.
• Conducted load and stress testing to ensure the platform could handle high volumes of concurrent users.

These were the outcomes:

• Achieved flawless interoperability between various communication services.
• Maintained consistent service performance, reducing downtime.
• Ensured the platform could scale effectively to accommodate growing user bases.

5. Automotive: Streamlining Development of Embedded Systems

An automotive firm was developing an embedded system for autonomous vehicles, requiring rigorous testing to ensure safety, reliability, and compliance with automotive standards.

They implemented Agile testing:

• Implemented automated testing frameworks to continuously validate embedded software against safety standards.
• Collaborated with cross-functional teams to define behavior scenarios that aligned with safety and performance requirements.
• Used tools like Jenkins and Selenium to automate regression tests, ensuring new updates did not introduce safety risks.

These were the outcomes:

• Detected and resolved safety-critical issues early.
• Improved the reliability of the embedded systems, reducing failure rates.
• Enabled faster iterations and quicker deployment of new features.

Also Read: Selenium Tutorial: Everything you need to Learn

After reviewing agile software testing examples, start applying the key takeaways to your own projects. Use agile testing methods to adapt to changing requirements and deliver faster, higher-quality releases. 

Look for opportunities to incorporate real-world insights into your processes, and focus on the benefits of agile testing, such as quicker feedback and improved product quality. 

Benefits and Challenges of Adopting Agile Testing Methodology

Agile testing methodology offers numerous benefits, including faster feedback, improved quality, and better collaboration. However, teams often face challenges like adapting to constant changes and balancing manual with automated testing. 

The table below explores both the benefits and challenges of agile testing, along with actionable workarounds to address them. 

Also Read: List of 12 Agile Principles & How to Use Them

To truly capitalize on the benefits of agile testing, start by prioritizing continuous testing throughout your sprints. Don’t wait until the end of the cycle to identify issues; test as you develop. Integrate automated testing early to save time and ensure quality, but also keep room for exploratory testing to catch edge cases. 

Focus on best practices for agile testing to continuously gather feedback from stakeholders and iterate based on real-time needs.

Also Read: 22 Must-Know Agile Methodology Interview Questions & Answers in US

Best Practices for Effective Testing in Agile Development

Many teams struggle with inconsistent testing practices, leading to bugs slipping through or missed deadlines. By following these best practices for agile testing, you can streamline your testing process, improve collaboration, and ensure faster, more reliable releases. 

To make the most of this, it’s important to have a solid understanding of agile testing methods and how they apply to your project’s needs.

Also Read: How To Improve Your Career Skills for a Better Job and Employability [2025]

Take the next step by exploring shift-left testing to catch issues even earlier in the development process. Focus on test automation frameworks like Cypress or Playwright for more efficient and scalable testing. Consider integrating continuous integration and continuous delivery (CI/CD) pipelines for faster feedback loops. 

Lastly, get into performance testing in Agile to ensure your product can scale with user demands. These advanced strategies will further enhance your testing efficiency and software quality.

How upGrad Can Help You Master Agile Software Testing

This blog covers key Agile testing methods like Test-Driven Development (TDD), Acceptance Test-Driven Development (ATDD), and Behavior-Driven Development (BDD), with a focus on best practices like continuous testing and collaboration.

However, many teams face challenges in consistently applying these principles and struggle with scaling their Agile testing efforts effectively. To address this, upGrad’s Agile testing courses provide hands-on experience, helping you master real-world Agile testing methods. 

In addition to the courses mentioned, here are some more resources to help you further elevate your skills: 

• Master of Design in User Experience 
• Introduction to Product Management 
• Java Object-oriented Programming
• JavaScript Basics from Scratch

Not sure where to go next in your testing journey? upGrad’s personalized career guidance can help you explore the right learning path based on your goals. You can also visit your nearest upGrad center and start hands-on training today!  

Boost your career with our popular Software Engineering courses, offering hands-on training and expert guidance to turn you into a skilled software developer.

Explore our Popular Software Engineering Courses

Master in-demand Software Development skills like coding, system design, DevOps, and agile methodologies to excel in today’s competitive tech industry.

In-Demand Software Development Skills

Stay informed with our widely-read Software Development articles, covering everything from coding techniques to the latest advancements in software engineering.

Read our Popular Articles related to Software

References:

1. https://www.getxray.app/blog/top-2025-software-testing-trends
2. https://www.atlassian.com/software/jira/agile
3. https://blog.devops.dev/advantages-and-disadvantages-of-ci-cd-pipeline-implementation-ae5bae14c503