1. Introduction to AI
📌 Overview: Learn the basics of Artificial Intelligence, its history, and real-world applications.
🔹 What is AI? History & Evolution
🔹 Types of AI (Weak AI, Strong AI, General AI)
🔹 AI vs. Machine Learning vs. Deep Learning
🔹 Real-world Applications of AI (Healthcare, Finance, Business, etc.)
🔹 Hands-on: Using AI Tools like ChatGPT
2. Fundamentals of Machine Learning
📌 Overview: Understand how AI learns from data and the key concepts of machine learning.
🔹 What is Machine Learning?
🔹 Supervised vs. Unsupervised Learning
🔹 Common ML Algorithms (Linear Regression, Decision Trees, etc.)
🔹 Training and Evaluating a Machine Learning Model
🔹 Hands-on: Build a Simple ML Model
3. AI Tools & Technologies
📌 Overview: Get familiar with essential AI tools and platforms.
🔹 AI Platforms: TensorFlow, PyTorch, Scikit-learn
🔹 Introduction to Google Colab & Jupyter Notebooks
🔹 Basic Python for AI & ML
🔹 Hands-on: Writing Your First AI Program in Python
4. Deep Learning Basics
📌 Overview: Introduction to how AI mimics the human brain using neural networks.
🔹 What are Neural Networks?
🔹 Understanding Perceptrons & Activation Functions
🔹 Introduction to Deep Learning Architectures (CNNs, RNNs)
🔹 Hands-on: Train a Simple Neural Network
5. Natural Language Processing (NLP) Basics
📌 Overview: Learn how AI understands and processes human language.
🔹 Introduction to NLP & Text Processing
🔹 Tokenization, Stemming, and Lemmatization
🔹 Sentiment Analysis with AI
🔹 Hands-on: Create a Simple AI Chatbot
6. AI in Everyday Life & Ethics
📌 Overview: Understand the impact of AI on society and ethical considerations.
🔹 AI in Social Media, Business, and Healthcare
🔹 Bias & Fairness in AI
🔹 The Future of AI and Career Opportunities
🔹 Hands-on: AI Case Studies & Real-world AI Projects
Instructor
