This beginner-level AI course provides college students with a strong foundation in artificial intelligence concepts, applications, and real-world use cases. Students will explore key AI topics, including machine learning, neural networks, natural language processing, and computer vision. The course focuses on practical applications with hands-on projects, guiding students through building their first AI models. Ethical considerations, bias in AI, and responsible AI usage will also be covered. By the end of the course, students will have a foundational understanding of AI and the confidence to explore advanced AI technologies.

Key Benefits:

Live and interactive sessions with AI experts
Hands-on projects for real-world AI applications
Covers machine learning, NLP, and computer vision basics
Practical insights into AI ethics and responsible AI
Prepares students for advanced AI and data science courses

What You’ll Learn:

Introduction to AI & Machine Learning

Understanding AI, machine learning, and deep learning
Real-world applications of AI
Types of AI: Weak AI vs. Strong AI

Building Your First AI Model

Basics of supervised and unsupervised learning
Training an AI model with sample data
Evaluating AI model performance

Natural Language Processing & Chatbots

Understanding text-based AI applications
Sentiment analysis and text classification
Building a simple chatbot

Computer Vision & Image Recognition

Basics of image processing with AI
Object detection and facial recognition
Applications in security, healthcare, and automation

Ethical AI & Future Trends

Understanding AI bias and ethical concerns
Responsible AI development and regulations
Exploring career opportunities in AI