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