Automation with Python Certified Course

The Automation with Python Certified Course is designed to help learners master the art of automating repetitive and time-consuming tasks using Python. This course covers essential automation concepts, including web scraping, file and folder management, Excel and PDF automation, email handling, API integration, and browser automation with Selenium. Through a hands-on, project-based approach, learners gain practical experience in developing efficient scripts that boost productivity and reduce manual effort. Whether you are a student, IT professional, or data enthusiast, this course equips you with real-world automation skills to streamline workflows, improve accuracy, and advance your career in automation and software development.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Automation with Python Certified Course:

• Automation Engineer  
• QA Automation Tester
• Data Analyst
• Web Scraping Specialist 
• RPA Developer (Robotic Process Automation) 
• DevOps Engineer
• Software Developer
• System Administrator 
• Machine Learning Engineer 
• API Integration Developer
• Business Process Analyst 
• ETL Developer 
• Technical Support Engineer
• Cloud Automation Specialist
• IT Operations Engineer 
• Email Automation Specialist 
• Database Administrator 
• Scripting Consultant 
• Freelance Python Automation Expert 
• Research Assistant

Essential Skills you will Develop Automation with Python Certified Course:

• Python Programming Mastery 
• File and Folder Automation 
• Web Scraping Techniques
• Selenium Automation 
• Excel Automation 
• PDF and Document Handling
• Email Automation
• API Integration
• Task Scheduling 
• Data Processing and Cleaning
• Error Handling and Logging
• Version Control (Git)
• Command-Line Automation
• Database Automation
• Workflow Optimization 
• Use of Regular Expressions (Regex)
• Automation Framework Design 
• Cloud and Server Automation
• Debugging and Script Optimization 
• Real-World Project Implementation

Tools Covered:

• Python (Core & Advanced) 
• PyCharm 
• Selenium WebDriver 
• BeautifulSoup 
• Scrapy
• OpenPyXL 
• Pandas.
• NumPy 
• PyAutoGUI
• Requests 
• PyPDF2 
• smtplib & imaplib
• os & shutil Modules 
• Schedule / Cron
• SQLite / MySQL
• Git & GitHub
• Logging Module 
• Regular Expressions (re)
• Jupyter Notebook 
• Virtual Environments

Syllabus:

Module 1: Introduction to Python for Automation Basics of Python programming Data types, loops, and functions Working with libraries and modules Setting up Python environment.

Module 2: File and Folder Automation Automating file creation, renaming, and deletion Directory navigation and organization Automating backups and file management tasks.

Module 3: Web Automation with Selenium Introduction to Selenium WebDriver Automating browser actions (form filling, clicks, navigation) Handling dynamic web elements and waits Automating web testing workflows.

Module 4: Web Scraping and Data Extraction Understanding HTML and CSS structures Web scraping using BeautifulSoup and Scrapy Extracting and storing data from websites Handling pagination and dynamic content.

Module 5: Excel, CSV, and PDF Automation Automating Excel with OpenPyXL and Pandas Reading and writing CSV files Extracting and merging PDFs using PyPDF2.

Module 6: Email and API Automation Sending and receiving automated emails (SMTP, IMAP) Integrating REST APIs for automation Working with JSON and XML data formats.

Module 7: Data Processing and Reporting Automation Cleaning and transforming data using Pandas Automating report generation Exporting automated reports in Excel and PDF formats.

Module 8: Desktop and System Automation Automating mouse and keyboard actions with PyAutoGUI Automating desktop apps and screenshots Scheduling automation tasks with Python.

Module 9: Database and Cloud Automation Connecting Python with SQL databases Automating database queries and data insertion Introduction to cloud automation (AWS, Azure basics).

Module 10: Real-Time Projects and Career Readiness Implementing complete automation workflows Debugging and optimizing automation scripts Version control with Git & GitHub Resume building and interview preparation for automation roles.