Gain foundational knowledge of Python including:

• What is Python and its business value
• Types of applications and real-world use cases
• Overview of popular Python libraries and frameworks
• How Python fits into digital transformation

Learn the basics of Python and create your first program:

• Installing and setting up Python and IDE (PyCharm / VS Code / Jupyter)
• Understanding the Python syntax and basic commands
• Creating your first Python project
• Best practices for reliable and maintainable automation

Dive into Web/UI automation in Python using locators:

• Understanding and editing element locators (ID, Name, XPath, CSS)
• Using wildcards, dynamic locators, and relative paths
• Working with browser developer tools for inspection and troubleshooting
• Handling automation challenges with dynamic web elements

Learn how to handle and manipulate data in Python:

• Variables, data types, and function arguments
• Working with strings, lists, tuples, sets, and dictionaries
• Handling CSV, Excel, and JSON data using libraries (pandas, openpyxl)
• Filtering, sorting, and transforming data efficiently with list comprehensions and pandas

This comprehensive lesson covers all aspects of web automation including:

• Advanced locator strategies for dynamic web elements (XPath, CSS)
• Extracting data from tables and complex HTML structures
• Handling authentication, cookies, and session management
• Approaches for dealing with CAPTCHAs and security challenges
• Optimizing performance for large-scale scraping with Python libraries

Master professional error handling techniques in Python including:

• Implementing robust try–except–finally blocks
• Creating and raising custom exception classes
• Using the built-in logging module for audit trails
• Debugging complex code with breakpoints (pdb, IDE debuggers)
• Performing performance profiling and optimization with tools like

Enterprise-grade orchestration topics covered:

• Setting up and configuring task/job queues using Python (e.g., Celery, RQ)
• Managing credentials and secrets securely (using python-dotenv, keyring, or cloud secret managers)
• Implementing job scheduling and priorities (with APScheduler or Celery Beat)
• Monitoring and setting up alerts/logging
• Best practices for multi-environment deployment

End-to-end solution development covering:

• Requirements gathering and process assessment
• Solution architecture design
• Implementation of all learned techniques
• Documentation and knowledge transfer
• Deployment and maintenance strategies