Introduction to Artificial Intelligence

• • Understand what AI is and explore its historical evolution.
  • Learn about different types of AI – Narrow, General, and Super AI.
  • Discover real-life applications like ChatGPT, Siri, and autonomous cars.

AI vs Human Intelligence

• • Compare AI capabilities with human intelligence.
  • Understand consciousness, decision-making, and cognitive limits of machines.
  • Explore the philosophical and psychological aspects of AI.

Machine Learning Basics

• • Learn how machines learn from data without explicit programming.
  • Explore Supervised, Unsupervised, and Reinforcement Learning.
  • Analyze real-world use cases of Machine Learning.

Neural Networks & Deep Learning

• • Dive into Artificial Neural Networks and how they function.
  • Understand layers, nodes, weights, and activation functions.
  • Get introduced to Deep Learning and Convolutional Neural Networks (CNNs).

Natural Language Processing (NLP)

• • Learn how machines process human language.
  • Explore tools used in sentiment analysis, translation, and chatbots.
  • Understand tokenization, stemming, and word embeddings.

Computer Vision

• • Discover how machines are trained to see and interpret images.
  • Learn about image recognition and object detection techniques.
  • Understand its use in facial recognition, surveillance, and self-driving cars.

Data & Ethics in AI

• • Understand data collection, privacy, and ethical responsibilities.
  • Discuss bias in AI systems and the importance of fairness and transparency.
  • Explore real-world ethical dilemmas and AI accountability.

Robotics & AI

• • Learn how AI integrates with robotics.
  • Study real-world examples like drones, warehouse bots, and surgical robots.
  • Understand human-robot interaction and the future of smart robotics.

AI Tools & Platforms

• • Hands-on introduction to Python for AI (basic syntax).
  • Explore popular tools like TensorFlow, PyTorch, Google Colab, and Jupyter Notebooks.
  • Get started with no-code tools like Teachable Machine & MIT App Inventor.

Future of AI & Career Paths

• • Discover emerging AI trends like AGI, Quantum AI, and brain-computer interfaces.
  • Explore AI applications in healthcare, education, and business.
  • Understand AI career paths and required skill sets for different roles.

AI Capstone Project

• • Plan and build a simple AI project (e.g., chatbot, image classifier).
  • Apply concepts learned throughout the course in a practical setup.
  • Present your project and receive peer feedback.

Why Choose This Course?

• • Beginner-friendly and hands-on approach to learning AI.
  • Real-world examples and project-based learning.
  • Introduction to top AI tools and platforms used in the industry.