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Pankaj Gupta and Rakhi Kumari

Looking to become a pro at API automation? This comprehensive course is perfect for beginners and will take you from zero to hero in API automation using Python and the requests library. If you're aiming to break into the SDET (Software Development Engineer in Test) field or enhance your existing skills in backend automation, this course is tailored for you.

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Looking to become a pro at API automation? This comprehensive course is perfect for beginners and will take you from zero to hero in API automation using Python and the requests library. If you're aiming to break into the SDET (Software Development Engineer in Test) field or enhance your existing skills in backend automation, this course is tailored for you.

By the end of this course, you'll confidently be able to perform API testing, implement Python automation, and tackle interviews with ease. API automation is one of the most in-demand skills for SDETs and backend testers, and this course gives you the knowledge and tools you need to succeed.

Happy to help you always & Wish you all the Best with your new API Automation using Python which is most demanding course for SDET & Backend Automation tester.

What Makes This Course Stand Out?

  • No Prior Experience Required: This course is designed for beginners. You'll start from Python basics and gradually move into advanced API automation techniques.

  • Real-World Examples: Learn using live API examples and real-world projects, just like you would in an actual company environment.

  • Comprehensive Coverage: This course covers everything you need to know, from basic manual API testing to advanced Python automation techniques and test reporting.

  • Industry-Relevant Skills: Learn key skills used by top companies like Python API automation, Pytest framework, Allure reporting, loggers, and much more.

What You Will Learn:

  1. Python Basics:

    • Get a solid foundation in Python, covering everything from variables and loops to functions and data structures.

  2. Manual API Testing:

    • Understand the core concepts of API testing, including the different types of API requests and responses (

  3. API Automation using Python:

    • Learn how to automate API testing with the requests library, focusing on the CRUD operations for GET, POST, PUT, and DELETE requests.

  4. Live Demo Projects:

    • Practice with live API projects and real-world websites to gain hands-on experience and reinforce your learning.

  5. Advanced Python Utilities:

    • Master Python utilities like JSON parsing, error handling, and regular expressions to make your API tests more efficient and robust.

  6. Building Automation Framework from Scratch:

    • Learn how to build a complete automation framework for API testing using Python and integrate essential tools like Pytest.

  7. Pytest Framework:

    • Understand Pytest and how to use it for test automation. Gain hands-on experience with test case execution, assertions, and organizing your tests.

  8. Allure Reporting:

    • Learn to generate detailed test reports using Allure for better test result visualization.

  9. Loggers for Debugging:

    • Implement loggers in your testing framework to debug failures and track test execution more efficiently.

Who Can Benefit from This Course?

  • Beginners in Python who want to break into the SDET field and master API automation.

  • QA professionals looking to transition into test automation or backend testing roles.

  • Software Engineers in Test (SDETs) aiming to strengthen their skills in API testing and Python-based automation.

  • Testers or developers who want to automate RESTful APIs and microservices testing.

  • Automation engineers interested in learning about API testing automation with Python and Pytest.

Key Features:

  • Live Projects and Demos: Practice real-world API automation scenarios with multiple live demos and exercises.

  • Hands-on Framework Building: Build your own API test automation framework from scratch.

  • Comprehensive Learning Path: From Python basics to advanced automation frameworks, everything is covered.

  • Interview Preparation: Prepare for API testing and Python automation interviews with expert insights and interview questions.

  • Real-Time Reporting: Use Allure reporting and loggers to generate professional test reports and troubleshoot failures.

Top enrolments are from below categories:

  • Python API Automation

  • API Testing with Python

  • Python for SDET

  • API Automation Testing

  • Pytest Automation Framework

  • Allure Reporting for API Testing

  • Python Automation for SDETs

  • API Testing with Python Requests

  • Backend API Testing

  • Learn API Testing from Scratch

  • API Automation Framework

  • Python Automation Course for Beginners

  • Take the first step towards becoming a Python automation expert and SDET with this hands-on, beginner-friendly course. Whether you're starting from scratch or looking to level up your automation skills, this course is for you.

    Enroll Now and start automating your way to success.

    Best of luck with your learning journey, and I look forward to seeing you succeed. Pankaj Gupta

Enroll now

What's inside

Learning objectives

  • Basic api manual testing
  • Basic api automation testing using python
  • Basic python covered to learn automation
  • Complete pytest framework to learn like an experienced
  • Complete guide to build a framework from scratch
  • Allure reporting framework
  • Loggers for logging details into reporting
  • You can able to build a basic framework from scratch from beginners to advance level with full confidence
  • Get complete knowledge on back end automation with python which is must to become python sdet
  • Understanding the api automation from scratch with python requests library

Syllabus

Introduction
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Career center

Learners who complete API Manual/Automation testing using PYTHON/ PYTEST Framework will develop knowledge and skills that may be useful to these careers:
Software Development Engineer in Test
A Software Development Engineer in Test, commonly known as an SDET, plays a crucial role in ensuring software quality by designing and implementing automated tests. This professional bridges the gap between development and testing, often writing code to test code. The API Manual/Automation testing using PYTHON/ PYTEST Framework course is explicitly designed to train individuals for the SDET field, beginning with Python fundamentals and quickly progressing to advanced API automation techniques. Learners gain comprehensive skills in building test automation frameworks from scratch, performing manual and automated API testing with Python, Pytest, and generating detailed reports using Allure. This foundational knowledge is essential for an SDET to create robust, scalable, and maintainable automation solutions, making this course particularly relevant for those aspiring to excel in this highly sought-after role.
API Test Engineer
An API Test Engineer specializes in validating the functionality, reliability, performance, and security of Application Programming Interfaces. This role is critical as APIs form the backbone of modern interconnected software systems. This course, API Manual/Automation testing using PYTHON/ PYTEST Framework, offers targeted expertise for an aspiring API Test Engineer. It provides a solid understanding of API concepts, HTTP methods, and CRUD operations, followed by hands-on manual API testing using Postman. Crucially, the course then transitions into automating API tests with Python and the requests library, focusing on building comprehensive test frameworks using Pytest. Learners will also master generating professional test reports, directly preparing them for the specific challenges and requirements of an API Test Engineer role.
Backend Test Engineer
A Backend Test Engineer focuses on verifying the server-side components, databases, and application logic that power software systems, often interacting directly with APIs. This role requires a strong grasp of how backend services function and how to effectively test them without a graphical user interface. The API Manual/Automation testing using PYTHON/ PYTEST Framework course provides highly relevant skills for a Backend Test Engineer. It offers comprehensive knowledge on backend automation with Python, covering API testing from scratch using the requests library and building robust automation frameworks with Pytest. Understanding API requests, responses, status codes, and JSON parsing, as taught in this course, is fundamental for thoroughly validating backend functionality and ensuring data integrity and system performance.
Test Automation Framework Developer
A Test Automation Framework Developer focuses on designing, building, and maintaining reusable and scalable automation frameworks that streamline testing efforts across projects. This is a highly technical role requiring deep programming and architectural skills. The API Manual/Automation testing using PYTHON/ PYTEST Framework course provides invaluable training for a Test Automation Framework Developer. A key objective of the course is to teach how to build an automation framework from scratch for API testing using Python and integrating essential tools like Pytest. Learners gain practical experience with modular design, incorporating loggers for debugging, and generating Allure reports, all critical components of a professional framework. This direct, hands-on experience is fundamental for anyone looking to specialize in framework development.
Automation Test Engineer
An Automation Test Engineer designs, develops, and maintains automated test scripts and frameworks to streamline the testing process and improve software reliability. This career path demands strong scripting skills and a deep understanding of automation principles. The API Manual/Automation testing using PYTHON/ PYTEST Framework course is perfectly aligned with the needs of an Automation Test Engineer. It provides extensive training in Python, covering everything from basic syntax to advanced utilities like JSON parsing and error handling, which are vital for crafting effective automation scripts. Furthermore, the course teaches practical API automation using the requests library and the Pytest framework, empowering learners to build comprehensive automation frameworks from the ground up, a core responsibility of this role.
Python Test Automation Developer
A Python Test Automation Developer specializes in leveraging Python to create, maintain, and enhance automated testing solutions across various software components. This role often involves developing robust, scalable test scripts and frameworks. The API Manual/Automation testing using PYTHON/ PYTEST Framework course is tailor-made for anyone aspiring to become a Python Test Automation Developer. It starts with Python basics and rapidly advances to using the language for sophisticated API automation. Learners will not only master the requests library for API interactions but also gain expertise in building entire automation frameworks from scratch using Pytest. This comprehensive approach, including advanced Python utilities and reporting, directly prepares individuals to write high-quality, maintainable automation code.
Integration Engineer
An Integration Engineer specializes in connecting disparate software systems and applications, often relying heavily on APIs to facilitate data exchange and functionality. This role requires meticulous testing of these connections to ensure seamless operation. The API Manual/Automation testing using PYTHON/ PYTEST Framework course is highly beneficial for an Integration Engineer. It provides a comprehensive understanding of API concepts, HTTP methods, and crucial skills in automating API requests and responses using Python. Learning to build automation frameworks ensures that integration points can be thoroughly tested and validated for correctness and reliability. This expertise is vital for verifying that services communicate as expected and that data flows accurately across integrated systems.
Quality Assurance Engineer Automation
A Quality Assurance Engineer Automation is responsible for developing and executing automated tests to ensure product quality and accelerate the release cycle. This role focuses heavily on creating efficient, repeatable testing processes, moving beyond manual checks. The API Manual/Automation testing using PYTHON/ PYTEST Framework course is highly beneficial for aspiring Quality Assurance Engineers focused on automation. It provides a strong foundation in Python programming, which is essential for scripting automation. The course then delves into building and using automation frameworks, specifically Pytest, for API testing, allowing learners to automate complex test scenarios. Skills in test reporting using Allure and effective debugging with loggers directly equip individuals to manage and report on automated test cycles in this professional capacity.
Software Engineer Quality
A Software Engineer Quality combines software development skills with a strong focus on quality assurance, often integrating testing directly into the development process. This role is about proactive quality initiatives and building testability into the software architecture. The API Manual/Automation testing using PYTHON/ PYTEST Framework course helps build a strong foundation for a Software Engineer Quality. The comprehensive Python training, coupled with expertise in building API automation frameworks using Pytest, directly supports the development of robust, in-code testing solutions. Understanding how to automate backend testing and generate detailed reports equips this engineer to contribute significantly to the overall quality and reliability of software products from a developer's perspective.
SDET Consultant
An SDET Consultant advises organizations on best practices for software quality, test automation strategies, and the implementation of robust testing frameworks. This role requires not only deep technical expertise but also the ability to understand client needs and communicate solutions effectively. The API Manual/Automation testing using PYTHON/ PYTEST Framework course helps build foundational knowledge for an SDET Consultant. It provides hands-on experience in API automation using Python and Pytest, including building automation frameworks from scratch and implementing reporting. This comprehensive technical grounding enables a consultant to confidently recommend and build effective API testing solutions, debug issues, and guide teams in adopting automation, making the course a strong starting point for an advisory career.
Quality Engineer
A Quality Engineer is broadly responsible for the overall quality of software products, spanning from design to deployment. While this role can encompass various aspects of quality assurance, a modern Quality Engineer often has a strong emphasis on automation and technical testing. The API Manual/Automation testing using PYTHON/ PYTEST Framework course may be useful for a Quality Engineer looking to enhance their technical testing and automation capabilities. It provides a solid foundation in Python and practical skills in API testing, which are crucial for understanding and validating the core functionality of many applications. By learning to automate API tests and build frameworks, a Quality Engineer can contribute to more efficient and thorough quality gates within the software development lifecycle.
DevOps Engineer
A DevOps Engineer focuses on optimizing and automating the software development lifecycle, from code integration to deployment and infrastructure management. This often involves integrating testing into CI/CD pipelines and ensuring system reliability. The API Manual/Automation testing using PYTHON/ PYTEST Framework course may be useful for a DevOps Engineer. While the role is broad, the ability to automate API tests and understand backend systems with Python is highly relevant for integrating quality checks into automated pipelines. Learning to build automation frameworks and interpret test reports helps a DevOps Engineer implement robust quality gates, troubleshoot deployment issues related to API functionality, and ensure continuous validation of services as part of their broader responsibilities.
Site Reliability Engineer
A Site Reliability Engineer (SRE) is responsible for the availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of services. SREs heavily use automation and often interact with APIs for system management and monitoring. The API Manual/Automation testing using PYTHON/ PYTEST Framework course may be useful for a Site Reliability Engineer. The Python programming skills, combined with a deep understanding of API interactions and automation, are valuable for scripting operational tasks, validating service endpoints, and building tools for monitoring and incident response. While SRE is a broad role, the ability to rapidly test and validate API functionality, as taught in this course, directly supports ensuring system reliability and performance.
Technical Support Engineer
A Technical Support Engineer provides advanced technical assistance and troubleshooting for complex software issues, often requiring deep diagnostic skills. This role frequently involves analyzing logs, understanding system integrations, and interacting with APIs to resolve customer problems. The API Manual/Automation testing using PYTHON/ PYTEST Framework course may be useful for a Technical Support Engineer. The course's focus on understanding API requests and responses, error codes, and implementing loggers for debugging directly equips individuals with essential skills for diagnosing and resolving backend and integration issues. Proficiency in Python and familiarity with API automation allows for more efficient reproduction of issues and validation of fixes, significantly enhancing problem-solving capabilities in this career.
Performance Test Engineer
A Performance Test Engineer specializes in evaluating the responsiveness, stability, scalability, and resource usage of applications under various workloads. For many modern systems, this primarily involves testing the performance of APIs and backend services. The API Manual/Automation testing using PYTHON/ PYTEST Framework course may be useful for a Performance Test Engineer. While the course focuses on functional automation, the deep understanding of API requests, responses, and how to interact with them programmatically using Python and test frameworks creates a strong foundation. This knowledge provides the basis for then extending into performance testing tools that often leverage similar API interaction principles, enabling the engineer to script load scenarios for backend components.

Reading list

We haven't picked any books for this reading list yet.
Provides a comprehensive guide to API testing using SpecFlow. It covers topics such as BDD, feature files, and step definitions.
Provides a comprehensive guide to API security testing using OWASP ZAP. It covers topics such as OWASP Top 10, scanning techniques, and security testing tools.
Comprehensive reference guide that covers all aspects of the Python language. It great resource for experienced programmers who need to quickly look up information.
Great introduction to computer science for beginners. It covers a variety of topics, from algorithms and data structures to object-oriented programming and functional programming.
This pragmatic guide offers a concise overview of Python's core language features. It's a useful resource for developers who want to quickly grasp the essentials and key concepts of Python without a lengthy introduction.
A collection of practical tips and techniques for writing better Python code. focuses on Pythonic practices, lesser-known functionality, and built-in tools to help developers write cleaner, faster, and more robust code. It's suitable for those with a basic understanding of Python who want to improve their coding style and efficiency.
Uses Python to introduce fundamental computer science concepts. It's a good choice for students or self-learners who want to learn programming within the context of computer science principles. The 3rd edition provides a solid foundation in both Python and computational thinking.
Must-read for anyone who wants to improve their Python programming skills. It covers a variety of advanced topics, from metaprogramming and decorators to generators and coroutines.
Great introduction to data analysis with Python. It covers a variety of topics, from data cleaning and wrangling to data visualization and machine learning.
Great introduction to data analysis for finance with Python. It covers a variety of topics, from data cleaning and wrangling to data visualization and machine learning.
Is an excellent starting point for anyone new to Python or programming in general. It covers fundamental programming concepts and Python basics with a hands-on, project-based approach, making it very practical for beginners. The third edition is updated to cover newer Python versions and is widely recommended for its clear explanations and engaging projects. It's often used as an introductory textbook.
Comprehensive introduction to Python programming. It covers a wide range of topics, from the fundamentals of the language to more advanced concepts like object-oriented programming and data structures.
Ideal for beginners who want to quickly apply Python to practical tasks. focuses on using Python to automate everyday computer tasks, such as working with files, web scraping, and sending emails. It assumes no prior programming experience and is highly regarded for its clear, step-by-step instructions and focus on immediate productivity gains. The second edition widely used and practical resource.
Is highly recommended for intermediate to advanced Python programmers looking to write more idiomatic and efficient code. It explores Python's often-overlooked features and best practices, delving into topics like data structures, the Python data model, and metaprogramming. It's a valuable resource for deepening understanding and is considered a must-read for those aiming for mastery.
Is an excellent starting point for beginners who want to learn the basics of Python programming. It covers a wide range of topics, from the fundamentals of the language to more advanced concepts like object-oriented programming and data structures.
Following up on 'Automate the Boring Stuff,' this book delves into writing cleaner and more maintainable Python code. It covers topics like code formatting, refactoring, and testing, which are essential for building larger and more complex projects.

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