AI course

An Artificial Intelligence (AI) course is designed to introduce students to the fundamentals and applications of AI — the science of making machines think and act like humans. The course typically covers both theoretical foundations and practical skills using programming tools and frameworks.

Key Topics Covered

1. Introduction to AI

   • History and evolution of AI

   • Applications in real life (e.g., healthcare, robotics, finance, etc.)

2. Machine Learning (ML)

   • Supervised, unsupervised, and reinforcement learning

   • Algorithms like decision trees, neural networks, support vector machines

3. Deep Learning

   • Neural networks, CNNs, RNNs

   • Frameworks like TensorFlow or PyTorch

4. Natural Language Processing (NLP)

   • Language models, sentiment analysis, chatbots

5. Computer Vision

   • Image classification, object detection, facial recognition

6. Search Algorithms & Problem Solving

   • A*, DFS, BFS, optimization techniques

7. Ethics in AI

   • Bias, fairness, transparency, and responsible AI use

💻 Hands-on Projects & Tools

• Python programming

• Building ML models

• AI-based mini projects (e.g., spam filter, AI chatbot, face detection app)

👨‍🏫 Who It’s For

• Beginners with basic programming knowledge

• Students in computer science or data science

• Professionals looking to upskill in AI technologies