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Portnov Computer School
REST API 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
  • Overview of Speech-to-Text API.
  • Sending audio data and receiving transcriptions.
  • Validating transcriptions against expected results.
  • Testing with different audio formats and languages.
  • Handling and testing noisy audio data.
  • Practical exercises and hands-on practice.
Session 8: Testing Text-to-Speech API
  • Overview of Text-to-Speech API.
  • Sending text data and receiving audio.
  • Validating generated speech against expectations.
  • Testing with different voices, speeds, and pitches.
  • Handling various languages and accents.
  • Practical exercises and hands-on practice.
Session 9: Testing Translation AI
  • Overview of Translation AI.
  • Sending text for translation and receiving translations.
  • Validating translations against expected results.
  • Testing with different language pairs.
  • Handling context-specific translations.
  • Practical exercises and hands-on practice.
Session 10: Vision and Image Recognition Testing
  • Overview of Google’s Vision AI.
  • Sending image data and receiving analysis.
  • Validating object detection, text recognition, and image labeling.
  • Testing with different image formats and scenarios.
  • Best practices for testing AI models via REST APIs.
  • Practical exercises and hands-on practice.
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Phone
+1 650 961 2044
Address
830 Stewart drive, #106,
Sunnyvale, CA 94085
Email
contactus@portnov.com