Embedded Software Testing with Python Online Live Class by Experts
Our Training/Internship Process
Embedded Software Testing with Python - Syllabus, Fees & Duration
Introduction to Embedded Systems
- Fundamentals of embedded systems
- Microcontrollers, microprocessors, sensors, and actuators
- Embedded hardware and software architecture
- Firmware development and testing concepts
Python Programming Fundamentals
- Python syntax, variables, data types, and operators
- Conditional statements, loops, and functions
- Lists, dictionaries, tuples, and strings
- File handling, exception handling, and modules
- Object-oriented programming fundamentals
Embedded Communication Protocols
- Serial communication fundamentals
- UART, SPI, and I2C protocols
- Working with serial ports using Python
- Sending commands and receiving device responses
- Communication error detection and troubleshooting
Python Test Automation
- Principles of automated software testing
- Writing automated test scripts using Python
- Unit testing with unittest and pytest
- Test fixtures, assertions, and parameterized tests
- Test data management and reusable test functions
Firmware Testing and Validation
- Firmware functionality and requirement-based testing
- Boot-up, reset, and initialization testing
- Input/output and peripheral testing
- Boundary-value and negative testing
- Firmware regression and compatibility testing
Hardware Software Integration Testing
- Hardware-software interaction testing
- Sensor and actuator validation
- Device communication and interface testing
- Hardware fault simulation and error handling
- Integration test case design and execution
Test Frameworks and Debugging
- Developing reusable Python test frameworks
- Debugging embedded devices and firmware issues
- Logging, test evidence, and failure analysis
- Automated test reports and result analysis
- Continuous integration fundamentals for testing
Practical Projects
- Automated serial communication testing using Python
- Sensor data validation and threshold testing
- Firmware command-response verification
- Automated regression testing for an embedded device
- Final project: Python-based embedded system test automation framework
Career Preparation
- Writing professional test cases and test reports
- Embedded testing best practices
- Technical interview preparation
- Project documentation and portfolio development
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 120 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsHybrid.com
- Training/Internship Certificate
- Atlanta
- Austin
- Baltimore
- Boston
- Charleston
- Charlotte
- Chicago
- Colorado Springs
- Columbus
- Dallas
- Denver
- Detroit
- Fort Worth
- Fresno
- Honolulu
- Houston
- Indianpolis
- Jacksonville
- Kansas City
- Las Vegas
- Los Angeles
- Lousville
- Memphis
- Miami
- Milwaukee
- Minneapolis
- Nashville
- New Orleans
- New York
- Oklahoma City
- Omaha
- Philadelphia
- Phoenix
- Portland
- Raleigh
- Sacramento
- San Antonio
- San Diego
- San Francisco
- San Jose
- Seattle
- Tampa
- Tucson
- Tulsa
- Virginia Beach
- Washington
- Wichita
Course Highlights
Our Locations
Master Python Automation Testing for Embedded Systems in with practical, industry-focused training. No matter whether you have completed 10th, 12th, a degree, BTech, or a master's degree, you can start learning with the appropriate foundational training.
This course is suitable for students, graduates, engineers, and professionals who want to build careers in embedded software testing, automation testing, and firmware validation. . This course introduces Python programming, embedded systems fundamentals, firmware testing, hardware-software integration, and automated testing techniques. Gain hands-on experience with testing tools, serial communication, debugging, and test automation frameworks.
Learn to develop automated test scripts using Python, validate embedded device functionality, identify software defects, perform regression testing, and generate test reports. 
