Artificial Intelligence (Python Programming) (Level 2)

Course Overview

SUMMARY:

This introductory course provides participants with a comprehensive foundation in Python programming for Artificial Intelligence applications. It covers essential topics such as Python syntax, data types, variables, control structures, functions, and data structures, along with hands-on exercises using tools like Anaconda, PyCharm.

Participants will learn how to develop, test, and execute Python programs, manipulate files, and apply key programming principles to solve real-world problems.

The course emphasizes practical application through coding exercises and simple AI-related tasks, enabling learners to understand how Python serves as the backbone of data science, deep learning, and automation. Designed for both graduates and working professionals, this course prepares participants to pursue more advanced AI and machine learning pathways while enhancing digital readiness for Industry 4.0.

This course is specifically designed to provide participants with:

• A comprehensive understanding of Python basics
• Hands-on experience using Anaconda and PyCharm
• The ability to develop and write Python code with ease
• Knowledge of retrieving user input, and applying basic methods and statements
• Skills to work with various data structures and handle files
• A strong foundation in programming principles

Course Curriculum

Learning Outcomes

Upon completion of this course, you will be able to:

• Understand Python programming fundamentals and syntax
• Use Anaconda, Jupyter Notebook, and PyCharm effectively
• Develop and write Python code with confidence
• Retrieve user input and apply basic methods and statements
• Work with various data structures (lists, tuples, dictionaries)
• Handle files and perform file operations
• Create and use functions in Python
• Use GitHub for version control and code management
• Build simple Python projects applying learned concepts

Tools and Technologies You'll Learn

• Python - Core programming language
• Anaconda - Python distribution and package manager
• PyCharm - Professional Python IDE
• VS Code - Visual Studio Code editor
• GitHub - Version control and code repository platform
• Git - Version control system

Who Should Take This Course?

• Graduates and working professionals looking to start their AI journey
• Beginners in programming who want to learn Python
• Professionals seeking to enhance digital readiness for Industry 4.0
• Anyone interested in pursuing advanced AI and machine learning pathways
• Individuals wanting to understand how Python serves as the backbone of data science and automation

Key Benefits

• Comprehensive Foundation - Build a strong foundation in Python programming for AI applications
• Hands-On Experience - Practical exercises using Anaconda, Jupyter Notebook, and PyCharm
• Real-World Application - Learn through coding exercises and simple AI-related tasks
• Industry 4.0 Ready - Enhance digital readiness for modern industries
• Pathway to Advanced Learning - Prepare for more advanced AI and machine learning courses
• Mini Project - Complete a practical Python project to reinforce learning

Prerequisites

This course is designed for beginners in AI and programming. Basic computer literacy is recommended. No prior programming experience is required. The course starts with Python fundamentals and provides a comprehensive foundation, making it accessible to learners with varying backgrounds including both graduates and working professionals.

Certification

Upon successful completion of this course, you will receive a certificate from MASET (Malaysian Association of Skills Training). This certificate validates your Python programming foundation for AI applications, demonstrating your ability to develop Python code, work with data structures, handle files, and use GitHub for version control.

The course includes hands-on exercises and a mini project to ensure you have practical experience with Python programming tools and concepts, preparing you for more advanced AI and machine learning pathways.