API Testing with Python, PyTest & AI-Assisted Automation (Udemy.com)
Build a real API testing framework with Python, PyTest, SQL, reports, GitHub Actions CI/CD, and AI-assisted workflows.
Created by: Admas Kinfu
Last updated September 2026
Our take
Based on the ratings of 1,974 students, a sample of their written reviews and the syllabus, as the course stood in September 2026. No course pays to be reviewed.
Admas Kinfu's course teaches API testing by building a PyTest framework in Python. The newer part uses a Job Tracker app with Swagger docs, a reusable API client, fixtures, parametrization, SQL checks against SQLite and GitHub Actions. It runs about 33.6 hours across 195 lectures, and roughly 16,800 students have joined. The audience is manual QA people moving into automation, plus SDETs who want a worked example. The requirements list basic Python, and that matters.
Happy reviewers say the teaching is easy to follow and explains the reasoning, not just the steps. One likes that errors get fixed live instead of edited out. Others value the extras on Docker, SQL and good practices. The complaints cluster around setup. Low-star reviewers got stuck installing tools, hit version mismatches, or found the pace too fast as beginners. A few older reviews call the explanations messy and improvised, and one calls the course deprecated and the 2026 title misleading.
The course was last updated in September 2026. The rebuilt material comes first, and the older WooCommerce course sits below a legacy marker. Of 1,974 ratings, 1,084 are five stars and 96 are one or two stars. It is a solid fit for someone who already writes some Python and wants a framework to explain in interviews. Total beginners should learn basic Python first and expect to troubleshoot installs.
Pros
- Builds one framework step by step: API client, fixtures, markers, parametrization and HTML reports
- Covers SQL checks against SQLite plus a MySQL crash course, a skill the course ties to backend testing jobs
- Runs the tests in GitHub Actions, so the project can be shown in interviews
- Reviewers like that errors are fixed live and the reasoning is explained
Cons
- Setup is long and fiddly, and low-star reviewers got stuck before reaching PyTest
- Older WooCommerce and MAMP material is kept below and some reviewers call it outdated
- Beginners say the pace is fast, and a few older reviews call the style messy
great course and step by step approach and the most important thing in the course is he don't hide the error rather resolve it live so that beginners will also get the way to resolve the errors with that approach
Labeled All Levels, but it really suits testers with basic Python who can troubleshoot installs on Windows or Mac.
What you will learn
- Build a real API testing framework from scratch using Python and PyTest
- Test REST API endpoints with real requests, responses, status codes, headers, and JSON payloads
- Run and test a real Job Tracker application with a backend API and Swagger documentation
- Organize API tests with reusable API clients, helper functions, fixtures, markers, and test case IDs
- Write positive, negative, authentication, workflow, database, and security-focused API tests
- Validate API behavior against a SQLite database using SQL queries from Python
- Learn SQL and MySQL fundamentals in the bonus SQL tutorial section
- Generate readable PyTest reports, including HTML and CI-friendly test output
- Run API tests locally and in GitHub Actions CI/CD pipelines
- Use AI as a practical assistant for documentation, test planning, boilerplate, and code review without depending on it blindly
- Build a portfolio-ready API automation project you can explain in interviews
Course content
32 sections · 195 lectures · 34 hours of video 12 articles
- 1Welcome: Modern API Testing in the Era of AI 3 free previews4 lectures · 22 min
- 2API Basics Every Tester Should Know3 lectures · 39 min
- 3Environment Setup: Python, IDE, and AI Tools4 lectures · 43 min
- 4Set Up the API Under Test and Test Cases 1 free preview5 lectures · 1.3 hours
- 5PyTest Crash Course for API Testing5 lectures · 1.1 hours
- 6Build the API Testing Framework12 lectures · 2.8 hours
- 7Build a Reusable API Client8 lectures · 1.8 hours
- 8Test Real Application Workflows6 lectures · 1.3 hours
- 9SQL and Database Verification for API Tests 1 free preview9 lectures · 2.1 hours
- 10Create Test Helpers and Reusable Test Data6 lectures · 58 min
- 11Negative API Testing and Validation6 lectures · 55 min
- 12Organize Tests with Test Cases, Markers, and Reports5 lectures · 1.1 hours
- 13Run API Tests in CI/CD with GitHub Actions 1 free preview6 lectures · 1.5 hours
- 14PyTest Parametrization and Data-Driven Tests6 lectures · 1.1 hours
- 15PyTest Fixtures for API Test Automation7 lectures · 1.6 hours
- 16Conclusion2 lectures · 22 min
- 17SPECIAL SECTION: SQL (MySQL) Crash Course 1 free preview17 lectures · 2.5 hours
- 18LEGACY COURSE START1 lecture
- 19Introduction To The Course4 lectures · 16 min
- 20Installation and Setup of Tools14 lectures · 1.8 hours
- 21Build Framework - Project Structure2 lectures · 28 min
- 22Design Helper Classes6 lectures · 1.3 hours
- 23Crash Course on PyTest4 lectures · 39 min
- 24Environment Variables & Database Helper Class4 lectures · 36 min
- 25Test Case ID 302 lectures · 12 min
- 26More Practice Test Cases9 lectures · 1.8 hours
- 27More Practice: Using Python Library by WooCommerce8 lectures · 1.6 hours
- 28Test Case Discussion2 lectures · 21 min
- 29More Practice: Setup & Database Configurations6 lectures · 1.1 hours
- 30EXERCISES9 lectures · 3 min
- 31Running Tests In Docker Container12 lectures · 1.3 hours
- 32Bonus1 lecture
Who it is for
The instructor says it suits
- QA engineers and manual testers who want to move into API automation testing or Backend testing
- Automation testers who want to build stronger backend testing skills with Python and PyTest
- SDETs who want a practical API testing framework example with real workflows, SQL validation, and CI/CD
- Students preparing for QA automation or SDET interviews who want a portfolio-ready API testing project
- Testers who know some Python and want to learn how to apply it to real API/backend testing
- Anyone who wants to understand modern API testing workflows, including AI-assisted test development with human review
What you need before you start
- Basic Python knowledge, but the course includes a focused PyTest crash course
- Basic software testing knowledge is helpful, especially manual testing or QA experience
- A Mac or Windows computer where you can install Python and run local development tools
- No prior API automation framework experience is required
- No prior CI/CD or database automation experience is required; the course introduces those topics step by step
How it compares
Against the other 388 rated Udemy courses in Python on CourseDuck:
- Rating4.3 out of 5higher than 25% of them
- Reviews1,974#133 of 389 by number of reviews
- Length33.6 hourslonger than 89% of them
- Last updatedSeptember 2026more recently than 95% of them
Course Description
Learn API Testing by Building a Real Automation Framework
Learn API testing and backend automation by building a real Python and PyTest testing framework from the ground up.
This course is a complete rebuild of my API testing course for modern QA automation engineers, SDETs, and testers who want practical backend testing skills. Instead of only sending simple API requests or checking status codes, you will work with a real Job Tracker application, explore its Swagger documentation, run the backend locally, and build automated tests against real API workflows.
What Makes This Course Different
This is not a toy API demo. The course uses a real application with a frontend, backend API, authentication, database storage, Swagger documentation, and realistic workflows.
You will test public endpoints, authenticated endpoints, create/update/delete application workflows, negative scenarios, error responses, and API behavior that needs database validation.
API Testing Fundamentals
You will start with the fundamentals before jumping into automation:
- What APIs are and why applications use them
- How HTTP requests and responses work
- How JSON payloads are sent and returned
- How status codes communicate success and failure
- How Swagger helps you explore API documentation
- How Postman helps you practice API calls before writing code
Python and PyTest Framework
You will build a Python API testing framework step by step using PyTest.
The framework grows naturally as the tests become more realistic. You will create:
- Test files and project structure
- Configuration for different environments
- A reusable API client
- Helper functions for setup and cleanup
- PyTest fixtures
- Markers and test case IDs
- HTML reports and CI-friendly output
- GitHub Actions CI/CD execution
Real API Test Coverage
The course includes practical API automation examples such as:
- Public API endpoint tests
- Authentication tests
- Protected endpoint tests
- Create application workflow tests
- Update application workflow tests
- Delete application workflow tests
- Negative API tests
- Error response validation
- Database-backed API verification
- Security-focused backend checks
SQL, MySQL, and Database Validation
This course also includes a bonus SQL and MySQL tutorial.
SQL is a valuable skill for QA engineers, automation testers, and SDETs because many backend testing jobs require some database understanding. The bonus SQL section gives you practical SQL practice with MySQL, then the API testing sections show how database validation fits into real backend automation work.
You will also learn when API response validation is enough, when database validation is useful, and how to query a local SQLite database from Python to verify backend behavior, audit logs, and security-related data.
Reports and CI/CD
A real automation framework should not only run on your laptop.
You will learn how to generate practical PyTest reports and run your API tests in GitHub Actions CI/CD. By the end, your tests can run locally and in a pipeline, with organized output that is easier to review and share.
AI-Assisted Testing Workflow
Modern testing work increasingly includes AI-assisted workflows, so this course shows practical ways to use AI without turning the course into AI hype.
You will see how AI can help with documentation, test case tracking, boilerplate code, docstrings, repetitive framework work, and code review.
But the core testing decisions stay human. You will learn what to test, how to verify behavior, how to review generated code, and how to run tests to prove the framework works.
Portfolio and Career Value
By the end of the course, you should be able to build and explain a real API testing framework using Python, PyTest, SQL validation, reports, and CI/CD.
You will also have a portfolio-ready API automation project that shows practical backend testing skills employers care about.
Instructor Details
- 4.3 Rating
1,974 Reviews
Admas Kinfu
With 14+ years of overall engineering experience, I have found my passion in software test automation. In the process Python has become my favorite tool to work with. I graduated with a MS degree in Mechanical Engineering from San Jose State University, and got into the IT field of software test automation. I have as much passion for teaching as I do for learning. I hope to help students grow fast and advance in the field of software testing and automation.
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Reviews
By Bohdan Voronov on 9/1/2024
A lot of cool things were provided, thank you for sharing and really a good job :) Edited to 5 stars, but also I want to ask maybe you know a some special web api for automation testing? I mean which I can use for my personal purpose for example for a custom repo in GitHub and so on like a some warmup REST API Web site? Exclude Woocommerce? :)
By Matthew Flynn on 8/30/2022
Thank you to Admas for creating this course, I feel I have learned many new things. I have previously completed a couple of python courses, but this was the first to provide a big project to build. Coding the project improved my skill with pycharm, I learnt about docker, pytest, SQL, databases and wordpress. Some negative aspects about the course. The setup of Wordpress. I use Linux and the suggested use of MAMP isn't available on Linux. So I had to find another solution myself. I easily found a docker compose file online for a wordpress/mariadb stack. So my wordpress and mariadb ran in docker containers. I had to work out myself static IP for docker containers etc. Once that was sorted I completed the course with no problems. Admas is very quick to answer any questions posted on udemy too. Thanks again, great course.
By Holly Prichard on 4/21/2022
So far so good. I love the pace. The video on the preview of the end result is great idea. I know what to expect now and it looks very interesting. I am new to testing and I just finished a Selenium WebDriver course. I was advised this should be a good next step and it does look like it. The instructor is understandable and the pace is great. I usually watch videos with 1.5x speed and it is working out good. Loving every minute so far. Update: I am past half in the course and it did not disappoint. So easy to follow and learning a lot. Great course.
By Jyoti Ranjan Pradhan on 4/16/2022
Good course with practical example and demonstration on how to build a framework from scratch.If you are starting with python based API testing or want to have an overall knowledge on how to start with building your first framework, you can go for it. All my previous experience was with JAVA based testing framework and recently switched on to python, wanted to have an overall idea on what and which components to use. This course gave me the foundation for that. Thank You @Admas
By Masoome Telegnina on 4/7/2022
Just started but well organized. Sounds like a great course. Just went over a table of content which I never seen in another course. It really did excite me knowing what is coming. Sounds like exactly what I am looking for. The instructor is clear and easy to understand. Organization looks good. And the tools we mentioned in the table of content sound familiar and are tools being used by developers at my job. Currently I am entry level manual tester and looking forward to do complete automation. Update: I am now over halfway in the course and still very very happy. Easy to follow and learning a lot. And I asked a question and got a response in few hours. Very grateful for that. I love this course and highly recommend it to anyone looking to learn writing API tests with Python.
By Joel Q on 4/3/2022
The fact of the matter is this is the only 1 of 3 courses on Udemy which fulfill my criteria: REST API Testing on a popular web platform with Python 3 and Pytest. If there were alternatives I would have explored those instead of seeing this through to the end. Unfortunately right from the start this has not been at all a straightforward experience, which could even be described as painful, with weeks combined spent on debugging configurations for MAMP, Wordpress, and Docker, while trying to complete the course. The course content is not well structured. It started by exploring possible setup environments as paths to take, but the actual execution by the instructor afterwards is a confusing mix of those different paths. For the actual execution, the structure doesn't separate the teaching of distinct skills into their own sections and videos. Instead the audience is forced to follow the sequence of the course blindly as the instructor manages to shoehorn in some helpful new techniques in the meantime. To learn all that there is to learn from this course, you can't skip any of the execution videos, and have to follow it through to the end. I am sure that there are many other frustrated viewers who decided to drop this course midway due to this. In contrast, other courses separate the teaching of skills into their own videos, then provide examples where those skills are applied in other ones. This allows those who already have a background in what they're learning or have sufficient confidence in their knowledge to skip parts they don't need. I am also not the only one frustrated by the quality of the course content. If the intention is to teach debugging skills then these need to be separated into their own videos, not be mixed in during what should be sequential and instructive course material. Watching the instructor backtrack to resolve their own mistakes is thoroughly confusing and demoralizing since I am trying to learn something new. Much of the confidence I gained while completing this course wasn't from listening to the instructor, instead it was from successfully debugging my configurations, and not making their mistakes by working ahead of the material. After finishing the execution part of the course I am still not sure which audience the instructor intends to target. Beginners will likely drop it during the set up and configuration portion since there is not enough useful information to avoid the extensive debugging needed to get their environments ready. Intermediates may drop it during the execution portion because this instructor doesn't seem to conform to best practices. I only finished this course because I'd already spent too time on it to drop it. There are also other issues, such as the lack of instructor response to Q&A queries, and the outdated state of the course material. I've seen many queries which have been left without a conclusive response from the instructor, which is not a sign of commitment to helping students. In order to get my code to work, I've had to update my code and configuration so they reflect the new nature of the updated libraries. It's also very glaring that there are few to no notes created in all of the videos, which is a sign of low student engagement with the course. In the end, I did indeed learn how to set up a test framework in Python, using Pytest, to test REST APIs of a popular web platform, and run the framework in a Docker environment. The catch is the countless hours spent debugging and catching instructor errors that I believe could have been avoided if more time was spent on the course design and material quality. If someone were to ask me whether to take this course or not, I would say "only as the last resort".
By Przemysław Kuta on 11/21/2021
The way how instructor shows his knowledge is very convenient for me. Live debugging is also useful. At least when I have came to the step of testing/programming. On the beginning I was very confused while initial setup, I have almost drop that course because of continuous mess in configuration. 'What is necessary to install, what is not?' As a Windows user I had issues regarding that part. I think there should appear one document that briefly describes an installation plan for Mac and Windows user. Just a list of programs with alternatives (i.e. no point for installing 'ammps', when I have 'local').
By Anonymized User on 7/13/2021
This course covers the functionality well, but the structure of the course needs improving, things need to be made clear from the outset so that you can configure your system, instead you end up installing multiple options of things so you are running multiple applications to suit the courses needs, which doesn't seem right. The first parts of the course are good but as it get towards the end it feels rushed and it's difficult to understand what is good practice and what is not. Overall the coverage is good but the execution needs improvement.
By S. S. on 5/31/2021
Really don't know why this course's rating is so high. The best practices and valuable things are heavily mixed with poor practices here. Use with caution and at your own risk. Don't apply all what you see in this course in real life, save the nerves of your colleagues. Apart from that, the presentation quality is quite poor as well. That's fine to anticipate common mistakes, but it's not OK when a presenter does not realize what's happening. Plenty of student's time could be saved and more clarity given with cleaner videos. I would expect much more passion for excellence from a person pretending to be an instructor.
By Pramod on 11/1/2020
Great!
By TJ Khara on 10/23/2020
I am just getting started with the course and am really enjoying it. Just one incident makes this course a must-have. I was trying something other than what Admas had recommended for the local wordpress setup and something went wrong. I posted some information in the Q&A section and rather than telling me to do it the way he has shown he made the effort to reproduce my entire local setup and solved my problem. Along with encouragement. I have rarely seen that in any course. I am glad I am learning through this course and will keep you posted on my progress.
The other really cool thing we're doing in this course is setting up our own backend api with woocommerce instead of using a third party api. I am learning a lot through that process and it is a grest idea to have some familiarity with the wordpress environment in general - even just for the backend as it is so pervasive.
I am glad to be Admas' student. Come join us :)
By Mohammed waasim on 10/21/2020
Nice course for beginners in Api testing/Python/Cucumber
Quality Score
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Overall Score : 86 / 100






