Applied Python for AI: From Fundamentals to Intelligent Systems

Target Group

1. Junior to mid-level professionals in IT, data, and technical roles

2. STEM graduates (diploma, degree, post-graduate) and fresh job seekers interested in AI development

3. Technical staff involved in digital transformation projects

4. Those looking to transition into AI, automation, or data science roles
   
   

Course Objectives

1. Write basic Python programs using core syntax and logic

2. Use Python libraries for data analysis and visualization

3. Build machine learning models with common frameworks

4. Apply Python to real-world AI use cases

5. Use AI developer tools like VS Code and AI plugins

6. Practice clean coding, testing, and project structuring
   
   

Course Learning Outcomes (CLOs)

1. Demonstrate proficiency in basic Python programming

2. Utilize Python libraries such as NumPy, Pandas, and Matplotlib

3. Build and evaluate machine learning models using Scikit-learn

4. Develop Python projects in Visual Studio Code with extensions

5. Apply Python to tasks like NLP, prediction, and classification

6. Follow best practices in coding, debugging, and structuring projects