Part 1: Python for the AI Era: Automation, Data, and Model Integration

Python Automation Data Processing AI Integration Productivity
2 Jan 2026 2 min
Beginner ★ ☆ ☆ ☆ ☆
3h
Created at 2 Jan 2026

Course Overview

This course is designed for those who are new to Python or have only basic knowledge, enabling them to apply Python in real-world work scenarios.

Rather than focusing on writing code from scratch, we emphasize the ability to read, understand, and modify AI-generated code.

Learning Objectives

  • Understand why Python has become essential in the AI era
  • Learn how to automate repetitive tasks with Python
  • Master the basic workflow of reading, processing, and visualizing data
  • Experience developing alongside AI coding tools (Copilot, Claude, etc.)

Course Structure

Part 1: Why Python is the Language of the AI Era

  • Why Python: Ecosystem and community
  • The Python-centric structure of AI/ML libraries
  • Shifting from “writing code” to “working with code”

Part 2: Python Basics Through Real Work Examples

  • Core concepts: variables, data types, conditionals, loops
  • Functions and modules: Creating reusable code
  • File I/O: Working with Excel, CSV, and JSON files

Part 3: Data Processing and Automation

  • Reading and cleaning data with pandas
  • Automating repetitive tasks: folder organization, file renaming, report generation
  • Basic web scraping and API calls

Part 4: Introduction to AI Libraries

  • Generating and modifying code with AI coding tools
  • How to read and understand generated code
  • Interpreting error messages and debugging basics

Part 5: Practical Application Workshop

  • Hands-on practice with real work scenarios
  • Developing automation ideas tailored to participants’ work
  • Roadmap for next steps in learning

Course Format

  • Online/Offline: Zoom or in-person sessions
  • Hands-on focused: Practical exercises included in every section

Target Audience

  • Undergraduate and graduate students new to Python or with only basic knowledge
  • Non-technical researchers looking to automate repetitive tasks
  • Business professionals wanting to leverage AI tools in their work

Prerequisites

  • Basic computer skills
  • No programming experience required

Key Practice Examples

  • Merging multiple Excel files into one
  • Batch renaming files in a folder
  • Collecting and organizing data from the web
  • Generating and modifying code with AI tools

Next Steps After This Course

After completing this course, you can continue with the TDD + AI Development Thinking course, where you’ll develop habits for writing and managing code safely.

Contact

For inquiries about course schedules and pricing, please reach out via email.