SDET: Java REST API Automation with RestAssured and AI Models Testing

with java and RestAssured and AI Models Testing

REST API Automation

🚀 Boost your IT career with REST API automation!
💪 Gain hands-on skills to ace your API testing interviews!
🔗 Integrate API automation seamlessly into CI pipelines!
🤖 Stay ahead with AI model testing techniques!
📚 Build expertise through real-world AI testing examples!

In today's fast-paced tech industry, the ability to efficiently test and automate APIs is crucial for ensuring high-quality software.

The "SDET: Java REST API Automation with RestAssured and AI Models Testing" course is designed to equip you with the skills needed to master API testing and leverage artificial intelligence to enhance your testing processes.

Whether you're a seasoned tester or new to the field, this course offers comprehensive coverage of essential topics, focusing on hands-on learning and practical applications.

Curriculum

Session 1: Introduction to API Testing

Overview of API testing and its importance.
Understanding REST architectures.
Setting up the development environment.
API Testing using Postman.

Session 2: Introduction to Rest Assured and Setting Up the Environment

Understanding REST APIs and their significance
Introduction to Rest Assured
Setting up the development environment
Installing Java, Maven/Gradle, and Rest Assured
Writing and running your first Rest Assured test

Session 3: Writing and Executing Basic Rest Assured Tests

Performing HTTP methods with Rest Assured.
Validating HTTP response status codes.
Extracting data from responses (JSONPath, XMLPath).
Writing tests for different API endpoints.
Handling different response formats (JSON, XML).
Practical exercises and hands-on practice.

Session 4: Advanced Rest Assured Features and Best Practices

Authentication and authorization (Basic Auth, OAuth).
Using request and response specifications.
Parameterizing tests and data-driven testing.
Best practices for structuring and organizing tests.
Integrating Rest Assured with build tools (Maven/Gradle).
Continuous integration and running tests in CI pipelines.

Session 5: AI Models and REST APIs

Overview of AI and machine learning.
Types of AI models: rule-based systems, machine learning models, deep learning models.
Pretrained models: advantages and use cases.
Supervised vs. unsupervised learning.
Key concepts: training, validation, and testing datasets.
Understanding the role of REST APIs in AI services.

Session 6: Setting Up the Environment and Test Project

Setting up the environment.
Writing and running tests.
Overview of AI model evaluation metrics (accuracy, precision, recall, F1 score).
Importance of data quality and preprocessing in AI.
Hands-on practice with initial API tests.

Session 7: Testing Speech-to-Text API