Python Test Automation Course

Python-Based Test Automation for Embedded Systems

The Python-Based Test Automation for Embedded Systems course is designed for students, graduates, an

Join the Python-Based Test Automation for Embedded Systems course in Kerala to gain practical skills in Python programming, PyTest, PyVISA, Embedded C, STM32 microcontrollers, hardware testing, and automated test development. Learn electronics design using KiCad and Altium, version control with GitHub, LabVIEW basics, and AI tools for engineering. Develop hands-on experience in hardware validation, test instrumentation, debugging, and embedded device testing. Suitable for students, graduates, engineers, and professionals looking to build careers in Python automation, electronics testing, and embedded systems engineering in Kerala.```html

Introduction to Embedded Test Engineering (5 Hours)

  • Introduction to embedded systems and electronics testing
  • Fundamentals of hardware validation and test automation
  • Test engineering workflow and laboratory safety

Python Programming (20 Hours)

  • Python installation and development environment setup
  • Variables, data types, operators, and input/output
  • Conditional statements, loops, and functions
  • Lists, tuples, dictionaries, and sets
  • Modules, packages, and object-oriented programming
  • File handling, CSV, JSON, and exception handling
  • Regular expressions, logging, and debugging
  • Python scripts for engineering applications

Test Automation Fundamentals (10 Hours)

  • Manual testing versus automated testing
  • Test plans, test cases, and test procedures
  • Functional, regression, and integration testing
  • Test automation architecture and reusable scripts
  • Test data management and result logging
  • Automated test execution and reporting

PyTest Framework (15 Hours)

  • PyTest installation and project structure
  • Writing test functions and assertions
  • Fixtures and setup/teardown methods
  • Parameterized testing and test data handling
  • Markers, test selection, and grouping
  • Exception testing and mocking basics
  • Test reports and debugging failed tests
  • Regression testing and reusable test suites

PyVISA and Instrument Control (15 Hours)

  • Introduction to VISA and PyVISA
  • Installing PyVISA and configuring backends
  • USB, serial, and LAN instrument communication
  • Discovering instruments and opening connections
  • SCPI commands and instrument programming
  • Controlling digital multimeters and oscilloscopes
  • Automated measurements and data collection
  • Error handling, timeouts, and connection troubleshooting
  • Logging measurement results to CSV files

Embedded C Programming (10 Hours)

  • Embedded C fundamentals and development environments
  • Data types, operators, conditions, and loops
  • Functions, arrays, pointers, and structures
  • Bitwise operations and register-level concepts
  • Interrupts and memory fundamentals
  • Debugging and embedded coding practices

STM32 Microcontrollers (10 Hours)

  • STM32 architecture and development board introduction
  • STM32CubeIDE and STM32CubeMX basics
  • GPIO configuration and LED control
  • Timers, PWM, and ADC fundamentals
  • UART serial communication
  • Firmware flashing, debugging, and peripheral testing
  • Python-based communication with STM32 devices

KiCad and Altium Designer (8 Hours)

  • Introduction to electronic design automation tools
  • Schematic creation and component libraries
  • Component placement and PCB layout basics
  • Design rule checks and error identification
  • PCB documentation and manufacturing outputs
  • Introduction to design verification

Git and GitHub (5 Hours)

  • Git installation and repository setup
  • Commits, branches, merges, and conflict resolution
  • GitHub repositories and remote collaboration
  • README files and project documentation
  • Version control for automated test projects

LabVIEW Fundamentals (10 Hours)

  • Introduction to LabVIEW and virtual instruments
  • Front panels and block diagrams
  • Controls, indicators, loops, and case structures
  • Data acquisition and measurement visualization
  • Instrument communication fundamentals
  • Basic test sequence development

AI Tools for Engineering (5 Hours)

  • Introduction to AI tools for engineering workflows
  • AI-assisted Python code generation and debugging
  • Generating test cases and test documentation
  • AI-assisted troubleshooting and technical research
  • Code verification, data privacy, and responsible AI use

Integrated Project and Assessment (7 Hours)

  • Develop a Python and PyTest automated testing framework
  • Integrate PyVISA for instrument communication where hardware is available
  • Perform basic STM32 device testing
  • Record measurements and generate test reports
  • Manage source code using GitHub
  • Final project demonstration and assessment

Course Duration

  • Total Duration: 120 Hours
  • Recommended Schedule: 10 hours per week for 12 weeks
  • Learning Method: Practical sessions, guided exercises, and project work
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