Nex-G Innovations

The objective of this Certified Python Robot Framework Professional training program is to equip participants with practical skills to design, develop, execute, maintain, and troubleshoot robust test automation solutions using Python and Robot Framework.

The program covers Robot Framework fundamentals, Python programming for automation, web application and API testing, database automation, data-driven testing, reusable keywords and custom libraries, test reporting, debugging, and CI/CD integration. Participants will gain hands-on experience through real-world automation scenarios and a capstone project, enabling them to build scalable, maintainable, and industry-ready automation frameworks.

Code: NES_SK_22649

Duration: 4 Weeks / 40 Hrs / Customized

Mode: Corporate (Instructor Led Online / Onsite), Individual (Instructor Led Online)

Certification: Certified Python Robot Framework Professional

+91-8826900551

• Software testing and test automation fundamentals
• Automation framework concepts
• Introduction to Robot Framework
• Robot Framework architecture
• Robot Framework ecosystem
• Installation and environment setup
• Python and Robot Framework relationship
• Test automation lifecycle
• Robot Framework use cases and limitations

Module 2: Python Fundamentals for Automation

• Python syntax and programming concepts
• Variables and data types
• Lists, tuples, dictionaries and sets
• Conditional statements and loops
• Functions and modules
• Exception handling
• File and directory operations
• Object-oriented programming fundamentals
• Virtual environments and package management
• Using Python libraries with Robot Framework

Module 3: Robot Framework Fundamentals

• Robot Framework project structure
• .robot files and syntax
• Test cases and test suites
• Settings, Variables, Test Cases and Keywords sections
• Built-in keywords
• Variables and variable files
• Scalar, list and dictionary variables
• Tags and metadata
• Setup and teardown
• Documentation and comments

Module 4: User-Defined Keywords & Reusable Automation

• Creating custom keywords
• Keyword arguments
• Return values
• Keyword-driven automation
• Resource files
• Shared keywords and libraries
• Modular test design
• Reusable automation components
• Custom Python keywords
• Designing maintainable automation frameworks

Module 5: Web Application Automation

• Browser automation concepts
• SeleniumLibrary
• Browser and page interaction
• Locators and element identification
• XPath and CSS selectors
• Forms, buttons, links and tables
• Alerts, frames and windows
• Wait strategies
• Screenshots and evidence
• Handling dynamic web applications
• Page Object Model concepts with Robot Framework

Module 6: API Automation with Robot Framework

• REST API fundamentals
• HTTP methods
• Request and response structure
• Status codes
• Headers and authentication
• JSON and XML handling
• API testing using RequestsLibrary
• GET, POST, PUT and DELETE automation
• Response validation
• Schema and data validation
• API test data management
• End-to-end API automation

Module 7: Database Automation

• Database testing fundamentals
• SQL essentials for testers
• Database connectivity
• DatabaseLibrary
• Executing SQL queries
• Validating database records
• Data insertion and updates
• Transaction validation
• Backend validation of automated tests

Module 8: Data-Driven & Parameterized Testing

• Data-driven test design
• Test templates
• Parameterized keywords
• External test data
• CSV and Excel integration
• JSON/YAML-based test data
• Environment-specific configuration
• Managing test data securely
• Building scalable test suites

Module 9: Advanced Robot Framework

• Advanced variable handling
• Dynamic libraries
• List and dictionary operations
• Conditional execution
• Loops and iteration
• Evaluating Python expressions
• Custom Python libraries
• Listener interface
• Hooks and extensions
• Advanced logging
• Error handling and recovery strategies

Module 10: Test Reporting, Debugging & Maintenance

• Robot Framework logs and reports
• HTML reports
• XML output
• Screenshots and execution evidence
• Debugging failed test cases
• Log analysis
• Test retry strategies
• Handling flaky tests
• Test-suite maintenance
• Automation framework optimization

Module 11: CI/CD & DevOps Integration

• Continuous Integration fundamentals
• Git and source-code management
• Jenkins integration
• GitHub/GitLab workflows
• Command-line execution
• Automated test execution pipelines
• Build and test triggers
• Test-result publishing
• Docker-based Robot Framework execution
• CI/CD best practices

Module 12: Real-World Automation Project