Are you looking to build a solid foundation in software testing? Our Manual Testing Course in Dahisar offers comprehensive training to help you master the essential skills of manual testing. Whether you are a fresh graduate or a working professional aiming to switch careers, this course equips you with the knowledge needed to excel in the quality assurance field.
The Manual Testing Course in Dahisar covers all key aspects of software testing, from understanding the basic principles of quality assurance to mastering advanced testing techniques. Through a detailed curriculum, you’ll develop expertise in areas such as test case design, defect management, and test execution.
Learn the fundamentals of software testing, including its importance in the software development lifecycle and how to approach testing systematically.
Understand how to create effective test cases that cover all possible scenarios to ensure high software quality.
Learn how to identify and report bugs using industry-standard tools like JIRA and Bugzilla, and how to communicate defects with developers.
Gain knowledge of various testing techniques, including black-box, white-box, and regression testing, to thoroughly test software applications.
Understand how to plan testing activities, estimate time and resources, and create test schedules to align with project goals.
Located in the vibrant suburb of Dahisar, our training center provides an ideal learning environment with experienced instructors and a hands-on approach. The curriculum is designed to give students real-world testing experience, ensuring they are job-ready by the end of the course.
Learn from industry professionals with years of hands-on testing experience.
Engage in live projects that replicate real-world testing scenarios, giving you the opportunity to apply what you’ve learned.
The course offers flexible timings, including weekday and weekend batches, making it accessible to both students and working professionals.
Get training on the most widely used testing tools and frameworks, ensuring your skills are relevant in today’s job market.
Manual testing is still an essential part of the software development process, and there is a high demand for skilled manual testers. After completing the Manual Testing Course in Dahisar, you will be well-prepared to take on a variety of roles in the software testing field, such as:
Execute test cases manually to ensure software applications work as expected and meet user requirements.
Analyze software products to ensure they meet the specified requirements and help improve their overall quality.
Manage and coordinate testing activities across different teams to ensure thorough testing is carried out within the set timelines.
Oversee testing processes, guide junior testers, and ensure that quality assurance objectives are met efficiently.
Those who have completed their studies and are looking to start a career in software testing.
Individuals currently working in IT who want to switch to a career in software testing.
Manual testers who want to sharpen their skills and stay updated with the latest testing methodologies and tools.
One of the standout features of our Manual Testing Course in Dahisar is the emphasis on practical learning. Students will work on real-world projects, testing web and mobile applications, which helps bridge the gap between theoretical knowledge and practical application.
Test various web applications across different browsers to ensure compatibility, performance, and security.
Validate mobile apps on both Android and iOS platforms, focusing on functionality, user experience, and performance metrics.
Test desktop-based software to check for issues related to compatibility, stability, and user interaction.
Our course offers a structured learning path that balances theory with hands-on practice, ensuring you are fully prepared for a career in manual testing. Here’s an overview of how the course is designed:
Participate in live, interactive classes where instructors guide you through each topic, answering questions and providing feedback.
Engage in practical exercises and real-world scenarios to reinforce your understanding of key concepts.
Regular assessments and project work to track your progress and ensure you are ready to apply your skills in a professional environment.
Despite the rise of automation in software testing, manual testing remains crucial in certain areas of software development. Manual testers play a vital role in evaluating the usability, interface, and overall user experience of an application. Additionally, certain types of testing, like exploratory and usability testing, are more effective when conducted manually.
Here’s why manual testing is still an integral part of software quality assurance:
Manual testers can spot issues related to user interface design that automated tests might miss.
Manual testing allows testers to explore the software in an unscripted manner, often discovering bugs that wouldn’t be caught by automation.
Manual testers are best suited to evaluate how intuitive and user-friendly a software application is from a human perspective.
If you’re ready to kickstart your career in software testing, the Manual Testing Course in Dahisar is your gateway to success. Whether you’re just starting out or seeking to advance your career, this course will provide you with the skills and knowledge needed to thrive in the manual testing field.
Enroll today and gain the confidence to become a proficient software tester. With an emphasis on practical skills and real-world application, you will be prepared for the challenges and opportunities that await in the dynamic world of software testing.
Take the first step toward a successful career by joining our Manual Testing Course in Dahisar. Whether you aim to work in a large IT firm or a growing startup, this course will provide you with the expertise and confidence needed to succeed in the competitive field of software quality assurance.
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 Name | Hours | Duration | Skills & Tools | Eligible Job roles |
---|---|---|---|---|
Manual Software Testing | 50 | 8 Weeks | 1. 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 |
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 Name | Batch | Timing | Commencement Date | Tentative end Date |
---|---|---|---|---|
Manual Software Testing | Weekdays | 07:00am to 09:00am | 20th January | [after 8 weeks] |
Manual Software Testing | Weekdays | 07:00pm to 09:00pm | 27th January | [after 8 weeks] |
Manual Software Testing | Weekdays | 10:00am to 01:00pm | 3rd February | [after 8 weeks] |
Manual Software Testing | Weekdays | 03:00pm to 06:00pm | 10th February | [after 8 weeks] |
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.
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.
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.
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.
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.
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.
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.Â
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.
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.
To become an API tester, you can follow these steps:
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:
Becoming an expert in manual testing requires dedication, continuous learning, and practical experience. Here are steps to help you on your journey:
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:
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:
Some reputable institutes for manual testing include:
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:
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.