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Manual Testing Course in Mumbai

Looking for a manual testing course in Mumbai? We offer a comprehensive program designed for both beginners and professionals. The course covers all essential aspects of manual testing, including the basics of software testing, test case creation, test plans, and execution. 

With a focus on hands-on practice, this course helps learners understand real-world scenarios. Whether you are entering the field of quality assurance or looking to expand your testing skills, our course will provide you with the knowledge and experience needed to work confidently in manual testing roles.

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What You Will Learn in the Manual Testing Course

Our manual testing course in Mumbai is structured to provide a solid foundation in the principles of software testing, along with practical exercises to apply the concepts you learn. The following topics are covered:

1. Introduction to Software Testing

  • Understanding the fundamentals of software testing, including why testing is important and what role it plays in the software development lifecycle.

2. Testing Levels and Techniques

  – Learn about different types of testing such as unit testing, integration testing, system testing, and user acceptance testing.

  – Gain insights into testing methodologies such as black-box and white-box testing.

3. Test Case Design

   – How to write effective test cases.

   – Understanding the importance of test coverage and its role in ensuring all aspects of a system are tested.

4. Defect Life Cycle and Bug Reporting

   – Learn how to track, report, and manage defects found during testing.

   – Understand the defect life cycle and how it fits within a project’s timeline.

5. Test Management

   – How to organize and manage test cases, prioritize testing tasks, and coordinate testing activities with development teams.

6. Manual Testing Tools

   – How to organize and manage test cases, prioritize testing tasks, and coordinate testing activities with development teams.

Why Choose Our Manual Testing Course in Mumbai?

Mumbai is a thriving hub for IT and software development, making it an ideal location to pursue a career in manual testing. Our manual testing course in Mumbai is designed to equip you with the practical knowledge needed to thrive in this competitive market.

Here are some key reasons why you should enroll in our course:

Experienced Trainers

Our instructors have years of experience in the software testing industry, providing insights and advice that go beyond theoretical learning.

Practical Learning

We emphasize hands-on practice, allowing students to work on real-life testing scenarios and gain confidence in their abilities.

Industry-Relevant Curriculum

Our curriculum is designed based on the needs of the industry, ensuring that you learn skills that are directly applicable in real-world testing environments.

Flexible Schedule

We offer flexible learning options, making it easy for working professionals and students to attend classes without disrupting their current commitments.

Career Opportunities in Manual Testing

Completing our manual testing course in Mumbai opens up a variety of career opportunities. The demand for manual testers remains strong, particularly for projects where human insight and judgment are critical to ensuring the quality of the software. Here are some roles that manual testers can pursue:

Manual Tester

  • This is the primary role for someone completing the course. As a manual tester, you will be responsible for writing and executing test cases, identifying defects, and working closely with developers to resolve issues.

Quality Assurance (QA) Engineer

  • As a QA engineer, you will be involved in the entire testing process, from planning test strategies to executing test cases and ensuring that the final product meets the required standards.

Test Analyst

  • In this role, you will analyze the requirements, create detailed test plans, and ensure that all functionalities are thoroughly tested.

Test Lead

  • For those with more experience, becoming a test lead involves managing a team of testers, coordinating testing activities, and ensuring that all deadlines are met.

Consultant

  • Manual testing consultants offer expertise to organizations, providing advice and helping set up testing processes and strategies.

Who Should Enroll in This Course?

This manual testing course in Mumbai is ideal for:

Beginners

Individuals looking to start a career in software testing without prior experience. The course begins with foundational concepts, making it accessible to everyone.

Professionals Seeking a Career Change

If you are already working in IT or another field but are interested in transitioning to software testing, this course will provide the necessary skills.

Experienced Testers Wanting to Sharpen Their Skills

For those who have some experience in manual testing, this course can help you refine your abilities, learn about the latest tools, and strengthen your career prospects.

Course Format and Structure

Our manual testing course in Mumbai is structured to provide a mix of theoretical learning and practical application. Here’s a general breakdown of how the course is organized:

Classroom Sessions

Interactive sessions where instructors cover testing concepts, tools, and methodologies.

Hands-On Practice

Students will work on practical testing exercises that simulate real-world testing scenarios.

Project Work

By the end of the course, students will work on a live project to test their skills and gain practical experience.

Assessments

Regular assessments are conducted to track progress and ensure that students are mastering the necessary skills.

Course Highlight

Master the essentials of software quality assurance with our Manual Software Testing course. Let’s get into the details of the course and explore how it can enhance your skills in manual software testing.

Course NameHoursDurationSkills & ToolsEligible Job roles
Manual Software Testing508 Weeks1. Various Types of Testing Techniques
2. Test case writing in Excel & TestRail
3. Bug Reporting in Mantis BT & JIRA
4. Manual Testing Projects on multiple domains
5. Agile Methodology
Manual Tester
Test Engineer
QA Engineer
Functional Tester
Game Tester

Upcoming Batches

Don’t miss your chance to join our upcoming batches and start your journey toward becoming a proficient software tester. Secure your spot today! Here is a sneak peek into the upcoming batches:

Course NameBatchTimingCommencement DateTentative end Date
Manual Software TestingWeekdays07:00am to 09:00am23rd September[after 8 weeks]
Manual Software TestingWeekdays07:00pm to 09:00pm30th September[after 8 weeks]
Manual Software TestingWeekdays10:00am to 01:00pm7th October[after 8 weeks]
Manual Software TestingWeekdays03:00pm to 06:00pm14th October[after 8 weeks]

Meet Your Course Instructors

Get to know the expert behind the course—here’s a sneak peek into the trainer’s profile. With years of industry experience and a passion for teaching, our trainer brings practical insights and hands-on expertise to every session.

Shoeb Shaikh

Head - Learning and Development & Sr. Automation Test Engineer

With a career spanning over 14 years, Shoeb Shaikh has established himself as a dynamic and solutions-driven professional in the fields of software testing, data science, and educational technology. His journey, marked by a series of executive and managerial roles, has honed his skills and shaped him into a leader who thrives on challenges and excels in finding innovative solutions. Currently serving as the Head of Learning & Development at Cinute Digital Private Limited and as a Senior Automation Test Engineer at TESTRIQ QA Lab LLP. His technical expertise, particularly in Agile processes and automation testing frameworks, has driven quality and efficiency in the IT industry. Shoeb’s leadership at Cinute Digital has led to prestigious accreditations, establishing the company as an official ISTQB exam center.

Esha Prakash

Domain Head - Data Science

Esha Prakash is the Domain Head of Data Science at Cinute Digital Private Limited, dedicated to disseminating Machine Learning (ML) and Business Intelligence (BI) skills. With a strong foundation in data science, Esha has served in various training roles, including at the Bombay Stock Exchange and Imarticus Learning. She has expertise in tools such as Tableau, PowerBI, SQL, Python, and Big Data Analytics. Esha’s contributions extend to content creation, data science consultancy, and mentoring aspiring data scientists. Her certifications in PowerBI, Tableau, and Machine Learning underscore her commitment to continuous learning. Esha has also authored research papers and worked on significant projects in AI and Big Data.

Teshoo Rai

Senior Automation Trainer

Teshoo Rai is a Senior Trainer specializing in Java Automation with Selenium, with over 5 years of experience. Her career focuses on educating professionals in software testing and automation, leading to significant contributions in the field. Teshoo holds a Bachelor of Science in Information Technology and has served as an Assistant Professor and Corporate Trainer. Her expertise includes Agile testing methodologies, automation frameworks, and quality assurance. Teshoo’s leadership at Cinute Digital and TESTRIQ QA Lab LLP has earned the organizations prestigious accreditations and established them as ISTQB exam centers. She is recognized for her ability to mentor and develop tailored corporate training programs.

Pooja Bombatkar

Senior QA Engineer

Pooja is an ISTQB-certified tester with over 8 years of experience in software testing, including manual and automation testing. She has served as a Corporate Trainer, providing training on Manual Testing, API Testing, Selenium Automation, and more. Pooja has experience working on various projects across industries like finance, education, real estate, and more, with roles in testing, bug tracking, and documentation. She is currently a Corporate Trainer at Cinute Digital Pvt Ltd and has previously worked as a Software Test Engineer at HDFC Pvt Ltd and Testriq QA Labs. Pooja is proficient in using tools like JIRA, Mantis, TFS, and Trello for bug tracking and has strong skills in testing across multiple platforms, including desktop and mobile applications.

Vaibhav Kakade

Senior Software Test Engineer

Vaibhav Kakade is a Manual Tester at TESTRIQ QA Lab LLP and a Corporate Trainer with Cinute Digital Private Limited. With a background in teaching and training since 2017, Vaibhav has transitioned into IT training, specializing in Manual Software Testing, DBMS with MySQL, and Java Automation with Selenium. He holds certifications from AAA and ISTQB, and an MBA in Project Management. Vaibhav is also involved in grooming participants, resume building, and interview assistance, playing a crucial role in placement activities. His dedication to teaching and training has made him an integral part of both Testriq and CDPL.

Rehmat Shaikh

Data Science Trainer

Rehmat Shaikh is a visionary data scientist committed to unlocking the potential of data to drive informed decision-making. Her expertise as a Data Science Trainer at Cinute Digital Private Limited reflects her dedication to empowering learners and enabling them to solve real-world problems using data science techniques. 

Cezzane Khan

Data Science Trainer

Khan Cezzane is a Dynamic Data Science Trainer, with a Bachelor’s in Artificial Intelligence & Data Science Engineering. Cezzane has experience as a Data Analyst and Data Manager, and has worked on impactful projects, including developing a CV and machine learning system for the hearing-impaired. He is dedicated to empowering others through data science education and solving real-world problems.

Sample Certification

Frequently Asked Questions

Cinute Digital stands out due to our unique partnership with Testriq, a leading independent software testing company. This collaboration allows us to offer:

Curriculum infused with real-world industry experience
Practical exercises that mirror actual testing scenarios
Expert mentors with current industry insights
Up-to-date skills aligned with what top companies need
Strong industry connections for internships and job placements
Moreover, we offer a comprehensive learning experience with hands-on projects, certifications, and a guaranteed paid internship, ensuring you're truly job-ready upon completion.

The cost of a manual testing course can vary depending on factors such as the course provider, duration, and level of content. On average, you can expect to pay anywhere from ₹5000 to ₹50,000 for a comprehensive manual testing course. Cinute Digital Pvt. Ltd. offers competitive pricing with discounts and value-for-money packages, ensuring that you get the most out of your investment in your career development. You can always reach out to us on the given numbers for current offers and promotions.

 

To become an API tester, you can follow these steps:

  • Learn the Basics: Start by understanding what APIs are and how they work. Familiarize yourself with common API protocols and formats like REST and JSON.
  • Gain Testing Knowledge: Learn software testing fundamentals, including testing techniques, test case design, and defect tracking. Understand how to apply these principles to API testing.
  • Acquire Technical Skills: Develop proficiency in using API testing tools like Postman, RestAssured, or SoapUI. Learn how to send requests, analyze responses, and validate API behavior.
  • Practice Hands-On: Practice testing APIs in a sandbox environment or using public APIs available for testing. Create test scenarios, write test cases, and execute tests to gain practical experience.
  • Explore Automation: Learn how to automate API tests using scripting languages like JavaScript or Python. Familiarize yourself with automation frameworks and tools for API testing.
  • Stay Updated: Keep up with industry trends, best practices, and emerging technologies related to API testing. Attend workshops, webinars, and conferences to expand your knowledge and network with professionals in the field.

By following these steps and continuously improving your skills and knowledge, you can become a proficient API tester ready to tackle the challenges of testing modern software applications.

Learning database management systems (DBMS) can be an enriching journey, and here's a step-by-step guide to get started:

  • Understand the Basics: Begin by understanding what a database is and why it's important. Learn about the different types of databases (relational, NoSQL, etc.) and their uses.
  • Learn SQL: Structured Query Language (SQL) is the standard language for interacting with relational databases. Start with basic SQL commands like SELECT, INSERT, UPDATE, and DELETE. There are numerous online resources, tutorials, and courses available to learn SQL.
  • Database Concepts: Familiarize yourself with fundamental database concepts such as tables, rows, columns, primary keys, foreign keys, normalization, and indexing. Understanding these concepts will lay a strong foundation for learning more advanced topics.
  • Choose a DBMS: Decide which database management system you want to learn. Popular options include MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, and SQLite. Each has its own syntax, features, and use cases.
  • Hands-on Practice: Practice is key to mastering DBMS. Set up a local development environment or use online platforms like SQL Fiddle, db-fiddle, or SQLZoo to practice writing SQL queries and working with databases.
  • Database Design: Learn about database design principles such as entity-relationship modeling (ERD), schema design, and normalization. Understanding how to design efficient and scalable databases is crucial for building robust applications.
  • Advanced Topics: Dive deeper into advanced topics based on your interests and career goals. This could include transactions, stored procedures, triggers, database security, performance tuning, and data warehousing.
  • Real-world Projects: Apply your knowledge to real-world projects. Build small applications that interact with databases, create database-driven websites, or contribute to open-source projects. Practical experience will solidify your understanding and skills.
  • Stay Updated: The field of database management is constantly evolving, with new technologies and best practices emerging regularly. Stay updated by following industry blogs, attending webinars, and participating in online communities like Stack Overflow and Reddit.
  • Continuous Learning: Lastly, embrace the mindset of continuous learning. Explore advanced topics, experiment with new technologies, and challenge yourself to solve complex problems. The more you practice and learn, the more proficient you'll become in database management systems.

Becoming an expert in manual testing requires dedication, continuous learning, and practical experience. Here are steps to help you on your journey:

  • Master Testing Fundamentals: Develop a strong understanding of software testing fundamentals, including testing principles, techniques, methodologies, and best practices. Study resources such as books, online courses, and certification programs to build a solid foundation in manual testing concepts.
  • Gain Practical Experience: Practice manual testing on real-world projects to gain hands-on experience and apply theoretical knowledge in practical scenarios. Volunteer for testing assignments, contribute to open-source projects, or collaborate with colleagues on testing tasks to build your experience and expertise.
  • Learn Different Testing Techniques: Familiarize yourself with a variety of manual testing techniques, such as black-box testing, white-box testing, functional testing, regression testing, usability testing, and exploratory testing. Understand when and how to apply each technique based on the specific requirements of the project.
  • Understand Application Domain: Deepen your understanding of the application domain you're testing, including its functionality, user requirements, business goals, and industry standards. This domain knowledge will help you identify potential risks, prioritize test activities, and design effective test cases.
  • Improve Test Case Design Skills: Focus on improving your test case design skills to create clear, concise, and comprehensive test cases. Learn techniques such as equivalence partitioning, boundary value analysis, decision tables, and state transition testing to design effective test cases that cover various scenarios and edge cases.
  • Enhance Communication Skills: Effective communication is essential for manual testers to collaborate with stakeholders, report defects, and convey testing results. Improve your communication skills, both written and verbal, to clearly articulate test plans, document test cases, and provide feedback to the development team.
  • Stay Updated: Stay abreast of the latest trends, tools, and technologies in the field of software testing. Follow industry blogs, attend webinars, participate in testing communities, and join professional organizations to stay updated on emerging trends, best practices, and tools in manual testing.
  • Seek Feedback and Mentorship: Seek feedback from peers, mentors, or experienced testers to identify areas for improvement and opportunities for growth. Actively seek mentorship from experienced testers who can provide guidance, advice, and insights to help you advance in your testing career.
  • Continuous Learning: Embrace a mindset of continuous learning and professional development. Invest time in self-study, attend training programs, pursue certifications, and seek opportunities for skill enhancement to continually improve your manual testing skills and stay competitive in the field.

By following these steps and consistently striving for excellence, you can become an expert in manual testing and make significant contributions to the quality and success of software projects.

Determining the "best" type of automation testing depends on various factors such as project requirements, technology stack, team expertise, and budget constraints. Different types of automation testing have their strengths and are suitable for different scenarios. Here are some popular types of automation testing and their respective advantages:

  • Functional Testing: Functional testing focuses on verifying that the software functions correctly according to its specifications. It involves testing individual functions or features of the application to ensure they meet the intended requirements. Functional testing can be further divided into:
    • UI Testing: Testing the user interface of the application to validate its behavior, layout, and interactions.
    • API Testing: Testing the application programming interface (API) to verify its functionality, performance, and reliability.
    • Integration Testing: Testing the interactions between different modules or components of the application to ensure they work together seamlessly.
  • Regression Testing: Regression testing involves retesting the existing functionality of the application to ensure that recent changes or updates have not introduced new defects or regressions. Automated regression testing helps in quickly and efficiently verifying that the existing features still work as expected after code changes.
  • Unit Testing: Unit testing focuses on testing individual units or components of the software in isolation. It helps identify defects early in the development cycle and ensures that each unit of code behaves as intended. Unit tests are typically written by developers using frameworks like JUnit, NUnit, or pytest.
  • End-to-End Testing: End-to-end testing involves testing the entire application from start to finish to ensure that all components and systems work together as expected. It simulates real user scenarios and interactions to validate the application's functionality, performance, and reliability across different platforms and environments.
  • Performance Testing: Performance testing focuses on evaluating the performance, scalability, and reliability of the application under various load conditions. It helps identify performance bottlenecks, latency issues, and resource constraints that may affect the application's performance in production.
  • Security Testing: Security testing involves evaluating the application's security posture to identify vulnerabilities, threats, and risks. It helps ensure that the application is resistant to unauthorized access, data breaches, and other security threats.

Ultimately, the "best" type of automation testing depends on the specific goals and requirements of your project. It's essential to consider factors such as the type of application, testing objectives, available resources, and the expertise of your team when selecting the appropriate type of automation testing. In many cases, a combination of different types of automation testing may be necessary to achieve comprehensive test coverage and ensure the quality and reliability of the software.

Determining the "best" institute for manual testing depends on various factors such as your location, budget, preferred mode of learning (online or offline), curriculum quality, faculty expertise, industry reputation, and alumni feedback. Here are some considerations to help you find the right institute for manual testing:

  • Reputation and Accreditation: Look for institutes that are well-known and accredited by relevant educational bodies. This ensures that the curriculum meets industry standards and is recognized by employers.
  • Curriculum: Review the course syllabus to ensure it covers essential topics in manual testing such as test planning, test case design, execution, defect tracking, and reporting. The curriculum should also include practical hands-on experience through projects or internships.
  • Faculty Expertise: Research the qualifications and experience of the instructors. They should have a strong background in manual testing and be able to provide valuable insights and guidance.
  • Industry Partnerships: Institutes that have partnerships with industry leaders or offer placement assistance can enhance your job prospects after completing the course.
  • Reviews and Testimonials: Read reviews and testimonials from current and former students to gauge their satisfaction with the institute's programs, facilities, and support services.
  • Flexibility: Consider factors such as class timings, duration of the course, and flexibility in terms of online or offline learning options to ensure it aligns with your schedule and preferences.
  • Cost and Value: Evaluate the cost of the program in relation to the quality of education and opportunities it provides. Compare tuition fees, financial aid options, and potential return on investment in terms of career advancement and salary growth.

Some reputable institutes for manual testing include:

  • International Software Testing Qualifications Board (ISTQB) certified training providers
  • Software Testing Genius
  • QA Testing Training

Ultimately, choose an institute that best fits your learning goals, budget, and career aspirations. It's also beneficial to network with professionals in the industry and seek their recommendations for reputable training programs.

The maximum salary for an automation tester in India can vary depending on several factors including experience, skills, location, company size, industry, and educational background. However, experienced automation testers with advanced skills and expertise can command high salaries in the Indian job market.

As of my last update in January 2022, the maximum salary for an automation tester in India could range anywhere from ₹10 lakhs to ₹30 lakhs per annum or even higher in some cases, particularly for professionals with extensive experience, leadership roles, or specialized skills in high-demand technologies such as Selenium, Appium, or API testing.

It's important to note that salary figures may differ based on the city or region. For instance, metropolitan cities like Bangalore, Hyderabad, Pune, and Chennai often offer higher salaries compared to other cities due to the presence of a thriving IT industry and increased demand for skilled professionals.

Moreover, factors such as certifications (e.g., ISTQB, CSTE, CSQA), additional skills in programming languages (e.g., Java, Python), experience with specific automation tools and frameworks, and domain knowledge (e.g., finance, healthcare, e-commerce) can also influence salary levels.

To get a more accurate estimate of the maximum salary for automation testers in India, it's recommended to research recent job listings, consult salary surveys specific to the IT industry, and consider factors such as market demand and economic conditions at the time of your job search. Additionally, networking with professionals in the field and leveraging online resources can provide valuable insights into salary trends and negotiation strategies.

Comparing the fields of AI (Artificial Intelligence), ML (Machine Learning), and data science is akin to comparing apples, oranges, and bananas—they're related but serve different purposes and have distinct areas of focus. However, each field contributes to advancing technology and solving complex problems in unique ways. Here's a breakdown of each:

  • Data Science: Data science involves extracting insights and knowledge from structured and unstructured data using various techniques such as data analysis, statistical modeling, machine learning, and data visualization. Data scientists work with large datasets to uncover patterns, trends, and correlations that can inform business decisions, optimize processes, and drive innovation across industries.
  • Machine Learning (ML): Machine learning is a subset of AI that focuses on developing algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed. ML techniques include supervised learning, unsupervised learning, and reinforcement learning, among others. ML algorithms are used in a wide range of applications such as image recognition, natural language processing, recommendation systems, autonomous vehicles, and more.
  • Artificial Intelligence (AI): AI is the broader field encompassing techniques, methodologies, and technologies that enable computers to mimic human intelligence and perform tasks that typically require human cognition, such as problem-solving, reasoning, learning, perception, and language understanding. AI includes ML as one of its key components but also extends to other areas such as expert systems, robotics, computer vision, speech recognition, and cognitive computing.

So, which is better—AI, ML, or data science? It's not a matter of one being better than the other but rather about understanding their roles and how they complement each other:

Data Science is concerned with extracting insights and knowledge from data, often using statistical methods and tools. It encompasses a broader range of techniques beyond machine learning, including data mining, data cleaning, and data visualization.

Machine Learning is a subset of AI that focuses specifically on developing algorithms and models that enable computers to learn from data. It's a crucial tool in the data scientist's toolkit for building predictive models and making sense of complex datasets.

Artificial Intelligence is the overarching field that encompasses both data science and machine learning, as well as other techniques and methodologies aimed at replicating human intelligence in machines.

In conclusion, the choice between AI, ML, and data science depends on the problem you're trying to solve and the tools and techniques best suited to address that problem. Each field has its own strengths and applications, and practitioners often draw from all three to tackle complex challenges and drive innovation in technology and beyond.

Machine learning is a subset of artificial intelligence (AI) that focuses on developing algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed to do so. In essence, it's about creating systems that can automatically learn and improve from experience.

At its core, machine learning involves feeding data into algorithms to allow them to recognize patterns, make predictions, or generate insights. These algorithms are trained using large datasets, where they learn to identify correlations, trends, and relationships within the data. Through a process of iteration and adjustment, the algorithms improve their performance over time, becoming more accurate and effective at the tasks they're designed for.

There are several types of machine learning approaches, including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning, each suited for different types of tasks and data. Supervised learning involves training algorithms on labeled data, where the correct answers are provided alongside the input data. Unsupervised learning, on the other hand, involves training algorithms on unlabeled data, allowing them to discover hidden patterns or structures within the data. Semi-supervised learning combines elements of both supervised and unsupervised learning, while reinforcement learning involves training algorithms to make sequences of decisions through trial and error, with the goal of maximizing cumulative rewards.

Overall, machine learning has become increasingly important in various fields, from finance and healthcare to marketing and cybersecurity, revolutionizing how businesses and organizations leverage data to make informed decisions and automate processes.

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