Looking to master manual testing in Noida? CDPL offers a comprehensive manual testing course that equips you with the essential skills to excel in the field of Quality Assurance. Flexible learning options, hands-on projects, and expert guidance ensure that you get real-world experience. Enroll now in our manual testing course in Noida and take your software testing career to new heights.
Manual testing remains one of the most crucial components of the software development lifecycle. It involves evaluating the software for bugs, functionality, usability, and performance from the perspective of an end-user. With companies continuously developing new applications and systems, the demand for skilled manual testers has never been higher. If you’re interested in launching a successful career in Quality Assurance (QA), Cinute Digital Private Ltd. (CDPL) offers a manual testing course in Noida that will provide you with both theoretical knowledge and practical experience in software testing.
This course is structured to teach you manual testing from scratch, making it ideal for beginners or professionals looking to upskill. With CDPL, you’ll learn how to perform test estimations, create test plans, write and execute test cases, generate bug reports, and much more. The real-world projects and expert mentorship offered in this program will enable you to grasp complex concepts easily, allowing you to succeed in the fast-paced tech industry.
CDPL’s manual testing course in Noida is designed to cater to the growing needs of QA professionals. This comprehensive program covers everything from basic testing concepts to advanced testing strategies, ensuring you are well-prepared for any testing challenge.
One of the standout features of CDPL's course is its flexibility. Whether you're a full-time professional, a student, or someone transitioning into a tech role, CDPL provides a learning schedule that fits your life. You can opt for weekday or weekend batches, choose in-person or online classes, and progress at your own pace. By opting for this manual testing course in Noida, you will gain the flexibility needed to balance your education with other commitments, without sacrificing the depth or quality of the learning experience.
CDPL emphasizes hands-on learning, so you’ll not only learn the theory behind manual testing but also apply those concepts in real-world scenarios. Throughout the course, you will work on live projects that mimic actual software testing environments. These projects will teach you how to:
-Create and execute test cases
-Report and track bugs
-Perform functional, non-functional, and regression testing
-Collaborate with development teams to resolve issues
By the end of the program, you’ll have a portfolio of projects that showcase your ability to handle real-world testing challenges, increasing your employability.
CDPL ensures that you learn from the best. The instructors are experienced QA professionals with years of hands-on experience in the industry. They provide personalized attention, helping you to overcome challenges and better understand complex testing concepts. You’ll have the opportunity to interact with experts, ask questions, and receive valuable feedback, ensuring you are confident in your abilities by the time you complete the course.
The manual testing course in Noida offered by CDPL covers a wide range of testing topics that are crucial for any QA professional. Some of the key concepts you will learn include:
-Test Estimations and Test Planning: Learn how to estimate the time and resources required for testing and how to create a detailed test plan.
-Test Case Creation and Execution: Understand how to write effective test cases that ensure the software functions as intended and how to execute them systematically.
-Bug Reporting: Master the art of identifying and reporting bugs clearly and accurately to ensure they are fixed.
-Test Techniques: Get an in-depth understanding of testing techniques such as Boundary Value Analysis (BVA), Equivalence Partitioning, and Decision Table Testing.
-Testing Types: Learn about the different types of testing such as functional, non-functional, smoke, and regression testing.
-Test Summary Reporting: Be able to summarize and communicate your testing results to stakeholders through detailed reports.
With these skills, you’ll be well-equipped to handle any manual testing task in a real-world setting.
CDPL’s manual testing course in Noida is structured to provide a step-by-step approach to learning manual testing. Here’s a breakdown of what you can expect:
In this module, you’ll be introduced to the basic concepts of manual testing and the importance of Quality Assurance in software development. You will understand the role of a QA tester and how manual testing differs from automated testing.
Test planning is an essential part of the QA process. In this module, you will learn how to create detailed test plans that outline the scope, objectives, schedule, and deliverables for testing. You will also learn how to estimate the time and effort required for testing projects.
Learn how to write and execute test cases for various scenarios. This module will teach you how to cover all aspects of the application and ensure that the software functions as required. You will also learn how to execute these test cases manually, identifying any bugs or issues in the process.
Reporting bugs accurately is a crucial skill for any QA tester. This module will teach you how to create comprehensive bug reports, including steps to reproduce, expected and actual results, severity, and priority. You will also learn how to track defects and collaborate with the development team to resolve them.
In this module, you’ll explore various testing techniques and types. You’ll gain hands-on experience in performing functional testing, non-functional testing, regression testing, and smoke testing. You will also learn about advanced testing techniques that will allow you to test more effectively.
After completing your testing, it’s important to create a summary report that outlines your findings. In this module, you will learn how to compile your results into a test summary report that can be shared with stakeholders to give them an overview of the testing process and outcomes.
Cinute Digital Private Ltd. (CDPL) offers the best manual testing course in Noida, designed to equip you with the skills and knowledge you need to excel in the QA testing industry. Whether you’re a beginner looking to start a new career or a professional seeking to upskill, this course provides the perfect blend of theoretical learning and practical application.
Enroll today and take the first step toward a successful career in software testing with CDPL.
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.