Basic AI Course for Beginners

Course Duration: 6-8 Weeks

Mode: Online (Live + Recorded Sessions)

Prerequisites: Basic computer knowledge, Python fundamentals (optional but helpful)

Module 1: Introduction to Artificial Intelligence (AI)

🔹 What is AI? History & Evolution
🔹 Types of AI: Narrow AI, General AI, and Super AI
🔹 AI Applications in Real Life (Chatbots, Self-driving cars, Virtual Assistants, etc.)
🔹 AI vs. Machine Learning vs. Deep Learning

Module 2: Basics of Machine Learning (ML)

🔹 Introduction to Machine Learning
🔹 Supervised vs. Unsupervised Learning
🔹 Common ML Algorithms (Linear Regression, Decision Trees, KNN, etc.)
🔹 AI & ML Use Cases

Module 3: Python for AI & Data Science

🔹 Python Basics (Variables, Data Types, Loops, Functions)
🔹 Libraries for AI: NumPy, Pandas, Matplotlib
🔹 Data Preprocessing & Cleaning

Module 4: Working with AI Models

🔹 Introduction to Neural Networks
🔹 Understanding Deep Learning
🔹 Basics of TensorFlow & Keras
🔹 Building a Simple AI Model

Module 5: Natural Language Processing (NLP)

🔹 What is NLP?
🔹 Text Processing with Python
🔹 Sentiment Analysis & Chatbot Development

Module 6: AI in Real-World Applications

🔹 AI in Healthcare, Finance, and Automation
🔹 Ethics & Challenges in AI
🔹 Future Trends in AI

Module 7: AI Project & Hands-on Practice

🔹 Implementing a Simple AI Project
🔹 Model Training & Evaluation
🔹 AI Tools & Platforms (Google Colab, Jupyter Notebook)

Key Features of the Course:

✅ Live & Recorded Sessions
✅ Hands-on Labs & Mini Projects
✅ Certificate of Completion
✅ Access to AI Tools & Resources