Take advantage of our manual testing course online, offering you the flexibility to learn at your own pace. Whether you’re a working professional or a student, our tailored content and expert guidance will equip you with the skills you need to succeed in the testing industry. Start your journey today!
In today’s fast-paced tech world, software testing has become an integral part of the development cycle. Whether it’s an app, website, or large-scale software, ensuring its functionality and performance through rigorous testing is crucial. This is where manual testing comes in—an essential method that involves human intervention to execute test cases without using any automation tools. If you are interested in pursuing a career in software testing, enrolling in a manual testing course online can be a transformative step. It offers flexibility, comprehensive learning, and certification to propel your career forward.
Our manual testing course in Hyderabad is designed for those who want to master the concepts of software testing through both theoretical knowledge and practical applications. Whether you’re a beginner or have some background in software testing, this course provides the right balance of learning and hands-on experience to help you excel in the field.
Before diving into the specifics of our manual testing course in Hyderabad, it’s important to understand why manual testing remains relevant in an era where automation is making headlines. Manual testing is essential because not every testing scenario can be automated. Exploratory testing, usability testing, and some areas of functionality testing still require human intuition, observation, and judgment, making manual testers indispensable in the software industry.
Our manual testing course online offers the following benefits:
Learn both basic and advanced manual testing techniques, including functional testing, black-box testing, and regression testing.
Apply your knowledge through real-world case studies and projects that simulate real business problems.
Upon completion of the course, receive a certification that is recognized by leading tech companies and can significantly boost your resume.
Our online platform allows you to learn at your own pace, balancing your learning with your daily responsibilities.
Our experienced instructors are industry professionals who will guide you every step of the way.
In Hyderabad, a hub for IT and tech innovation, manual testing courses are especially valuable due to the increasing demand for skilled testers in the local industry. By enrolling in our manual testing course in Hyderabad, you are positioning yourself for success in one of the fastest-growing job markets in the country.
One of the core strengths of our manual testing course online is its well-rounded curriculum. Designed by industry experts, the course takes you through the entire software testing lifecycle, equipping you with the necessary skills to become an efficient tester. Here’s an overview of what you can expect:
In this module, you will learn the basics of software testing, its significance, and the role it plays in the development process. You will be introduced to key concepts like Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and types of testing such as unit testing, system testing, and integration testing.
Key topics covered include:
– Introduction to software testing
– Types of software testing
– Testing methodologies (Waterfall, Agile)
– Overview of manual testing tools
Once the foundational concepts are in place, you will learn how to create and execute test cases. This involves writing precise test scripts that ensure all functionalities of the software are covered. You will also be taught how to log bugs, report issues, and communicate effectively with developers to ensure software quality.
Key topics covered include:
– Writing and managing test cases
– Test case design techniques
– Defect reporting and tracking
– Regression testing and re-testing
This module is where you’ll get a feel for working with actual test scenarios. Through hands-on projects, you will simulate testing tasks commonly performed in real-world environments. Whether you’re enrolled in our manual testing course in Hyderabad or participating from another location, the practical assignments are designed to make you industry-ready.
After mastering the fundamentals, the course dives into advanced topics such as performance testing, user acceptance testing (UAT), and mobile app testing. This module also includes training on how to prepare for job interviews, update your resume with manual testing skills, and prepare for various certification exams in the field.
Key topics covered include:
– Performance testing
– Usability and exploratory testing
– Mobile app testing
– Job interview preparation and career guidance
The demand for manual testers in Hyderabad is growing, and companies are constantly looking for professionals with the right skill set. By completing this course, you’ll be equipped with advanced testing knowledge and have access to job opportunities through our placement assistance program.
Hyderabad is one of the fastest-growing tech hubs in India. Known for its vibrant IT sector, the city has attracted multinational companies and startups alike. This surge in tech companies has created a demand for skilled professionals in various roles, including software testing. By enrolling in our manual testing course in Hyderabad, you can leverage this booming market to secure rewarding job opportunities.
The course fees for manual testing vary, but we offer flexible payment plans to ensure that cost is not a barrier for aspiring testers. Whether you are opting for an online manual testing course or our in-person classes in Hyderabad, our pricing is competitive and affordable.
By the end of this manual testing course in Hyderabad, you will be able to:
– Execute test cases efficiently and identify software bugs
– Collaborate with developers to ensure software functionality and performance
– Use manual testing methodologies to test a variety of software systems
– Secure a job in Hyderabad’s growing IT sector as a qualified manual tester
Many people wonder whether manual testing is still relevant in a world increasingly dominated by automation. The answer is a resounding yes. Manual testing plays a crucial role in areas like user experience, exploratory testing, and projects where automation isn’t cost-effective or possible. It allows human testers to catch bugs and issues that automated tools might miss, providing a critical layer of quality assurance.
With our manual testing course online, you can master this essential skill from the comfort of your home. Alternatively, by enrolling in our manual testing course in Hyderabad, you can benefit from a thriving tech community and face-to-face guidance from industry experts.
Manual testing remains a highly valuable skill in the software industry. By enrolling in our manual testing course online or in Hyderabad, you are taking the first step towards a rewarding career. With flexible learning options, expert guidance, and real-world projects, this course is designed to provide you with the tools you need to excel in software testing. Don’t wait—enroll today and elevate your career with the best manual testing full course available.
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.
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.