Enrolment options
Programming Languages
Python Automation for Engineers
HRDC Reg. No: 10001667103
Duration: 21 hours (3 days)
Course Overview
Python Automation for Engineers is a practical, hands-on training program designed to help engineers eliminate repetitive tasks through automation. The course focuses on real-world applications such as log analysis, data processing, report generation, and workflow automation.
Built on a structured Problem → Concept → Implementation → Practice approach, participants will develop deployable automation scripts and gain the ability to streamline engineering workflows efficiently.
Who Should Attend
- Software Engineers
- Test Engineers
- System Engineers
- DevOps Engineers
- Data Engineers
- Technical Analysts
Why Choose This Course
- HRDC Claimable Training Program
- Hands-on, real-world engineering automation scenarios
- Immediate application of skills with working scripts
- Covers full pipeline: scripting → automation → analysis → reporting
- Capstone project aligned to real engineering workflows
HRDC Claimable ID: 10001667103
Learning Outcomes
By the end of this course, participants will be able to:
- Write Python scripts to automate engineering tasks
- Parse and process structured data (CSV, JSON) and logs
- Build reusable and maintainable automation libraries
- Implement error handling and scheduling in automation workflows
- Perform data analysis and detect anomalies
- Generate reports and visual summaries
- Deliver a complete automation solution via a capstone project
Prerequisites
- Basic programming or scripting knowledge (C, C++, Java, MATLAB, Bash, etc.)
- Familiarity with engineering or development workflows
- Experience working with files or structured data (CSV, JSON)
- Comfortable using development environments or command-line tools
Lab Setup
- Python 3.x installed
- IDE: VS Code / PyCharm / Jupyter Notebook
- OS: Windows, Linux, or macOS
- Libraries:
pandas,matplotlib,json,re,os,logging - Sample datasets and logs provided
Teaching Methodology
- Instructor-led sessions with live coding
- Hands-on labs after every module
- Real-world engineering scenarios
- Guided project development
- Interactive discussions and problem-solving
