Features of The AI Python Course

Course highlights

• Programming Basics: Students will learn the basics of the Python programming language, including variables, functions, loops, and data structures.

• AI Assistant Support: AI chatbots are integrated into the course to provide instant feedback, explain programming concepts, help debug code, and enhance the learning experience.

• Practical projects: Through practical projects such as AI-driven recipe generator, smart to-do list, travel log analyzer, etc., students can use Python to solve real problems and develop the ability to write AI applications.

Course Structure

• Basic Programming: Students will learn how to write code in Jupyter Notebook and master Python's basic data types, string processing, calculations, and data visualization skills.

• Task Automation: Students can improve their work efficiency by learning Python scripts to automate repetitive tasks and interact with APIs.

• Data Analysis: In this course, students will learn how to use Python to process text files, structured data, and even use AI to analyze blog content to plan personal itineraries.

• Expanded capabilities: Students will also learn how to use third-party libraries for data visualization and obtain real-time data through network APIs.

Who should attend?

• This course is suitable for anyone interested in AI and programming, including beginners, professionals who want to improve their work efficiency, students, and lifelong learners. Even those who feel frustrated in traditional programming courses can quickly get started through this course's hands-on practice and AI-assisted learning method.

What Skills You Will Get In the "AI Python for Beginners" Course

Python programming basic skills

• Understand basic Python syntax and concepts such as variables, data types (strings, integers, floating point numbers), conditional statements, loops, etc.

• Master the basic function creation and calling methods of Python.

• Learn how to perform simple math and string manipulation with Python.

AI-assisted programming

• Learn how to interact with the AI ​​assistant and write, test, and debug code.

• Use AI tools to interpret code errors and suggest fixes.

• Write Python scripts that can interact with Large Language Models (LLMs), such as custom AI task generators.

Data structure and file processing

• Master the use of data structures such as lists, dictionaries, and sets in Python.

• Learn how to manipulate files, dealing with text files and structured data such as CSV files.

• Use Python for simple data reading and storage.

Task Automation

• Learn to automate daily tasks such as repetitive work with Python.

• Use AI to build intelligent tools like smart to-do lists, travel planners, and more.

Data Visualization and Analysis

• Learn how to use Python libraries such as matplotlib for data visualization, chart generation, and reports.

• Master basic data analysis techniques and be able to extract valuable information from data.

API Interaction

• Learn how to interact with network APIs and get real-time data (such as weather, currency exchange rates, etc.) through Python.

• Understand how to use AI to assist in processing and analyzing real-time data.

Debugging and error handling

• Learn how to debug your code in Python to find and fix errors.

• Improve the efficiency and accuracy of programming and debugging through interaction with AI assistants.

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