AI Fundamentals with Python 10th February – 31st of March 2025

Course Overview: 

This course introduces participants to the core concepts of artificial intelligence using Python programming, enabling them to develop basic AI models and applications.

Course Objectives: 

By the end of this course, participants will be able to:

1. Understand AI Concepts and Applications:

• Learn fundamental AI concepts and real-world applications.

2. Use Python for AI Development:

• Apply Python programming skills to AI solutions.

3. Implement Machine Learning Algorithms:

• Develop simple machine learning models using Python libraries.

4. Work with Data for AI Solutions:

• Collect, process, and analyze data for AI development.

5. Build AI-based Applications:

• Create basic AI-driven solutions using Python.

Course Contents:

Module 1: Introduction to AI

• Definition and scope

• AI applications across industries

Module 2: Python Programming Basics

• Python syntax and libraries

• Data types and control structures

Module 3: Data Handling and Preprocessing

• Working with datasets

• Data cleaning and transformation

Module 4: Introduction to Machine Learning

• Supervised and unsupervised learning

• Key algorithms

Module 5: Implementing AI Models with Python

• Using libraries like NumPy, Pandas, Scikit-Learn

• Building and evaluating models

Module 6: AI Applications and Use Cases

• Natural Language Processing (NLP)

• Image recognition basics

Module 7: Hands-on Projects

• Developing small AI applications

• Capstone project

Target Audience:

• Beginners in AI

• Python Programmers

• Data Enthusiasts

• Students and Professionals