Description

Course Overview:
This beginner-friendly course is designed for individuals who are new to artificial intelligence. It covers the fundamental concepts of AI, machine learning (ML), and data science. You'll learn key AI terminology, basic algorithms, and introductory tools to help you build a strong foundation in this rapidly growing field.

Course Curriculum:

• Introduction to AI: What is AI? History and evolution of AI. Types of AI (Narrow AI, General AI).
• Key Concepts of Machine Learning: Understanding supervised vs. unsupervised learning, reinforcement learning, and neural networks.
• Data Science Basics: Overview of data types, data cleaning, and the role of data in AI.
• AI Algorithms: Introduction to key algorithms such as decision trees, linear regression, and clustering.
• Hands-on Exercises: Implementing simple ML algorithms using Python.
• Practical Applications: Exploring AI applications in everyday life and business.

Skills Gained:
Understanding AI basics, applying simple machine learning models, knowledge of AI tools and software.