You should have a basic understanding of programming fundamentals and familiarity with at least one programming language (Python preferred). Some exposure to manual software testing concepts and basic web technologies (HTML, CSS, JavaScript) will help you progress faster, though the program covers Python and testing fundamentals thoroughly.

The program covers Python programming, automated test framework design with Selenium and Cypress, API testing with Postman and REST Assured, CI/CD pipeline integration, performance testing with JMeter, Docker and Kubernetes for test infrastructure, data analysis with Pandas and NumPy, and AI/ML-powered test automation including self-healing tests, defect prediction, and intelligent test generation.

This is an intensive 24-week job program. You should expect to dedicate approximately 15-20 hours per week, including live mentor sessions, self-paced learning modules, hands-on coding exercises, and project work. Consistent weekly commitment is essential to master the breadth of test automation, DevOps, and AI topics covered.

You will work on three major industry-relevant projects: building an AI-driven self-healing web automation framework, designing a DevOps-powered CI/CD test pipeline for microservices using Docker and Kubernetes, and developing an ML-powered defect prediction and test analytics platform. These projects simulate real-world challenges faced by test automation engineers.

Graduates are prepared for roles such as Test Automation Engineer, QA Automation Specialist, Software Test Architect, and DevOps Engineer with a test automation focus. The combination of traditional test automation skills with AI/ML capabilities and DevOps practices makes you highly competitive in the job market, as companies increasingly seek engineers who can build intelligent, scalable testing solutions.

You will gain practical experience with Python, Selenium, Cypress, Postman, REST Assured, JMeter, Docker, Kubernetes, FastAPI, Scikit-learn, Pandas, NumPy, Matplotlib, Prometheus, Grafana, and MLflow. These tools are industry-standard for modern test automation, DevOps pipelines, data-driven testing, and AI-enhanced quality assurance workflows.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Test Automation Job Program.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.