AI Course Content for Beginners
(Designed for – Beginner Level)
Module 1: Introduction to AI
🔹 What is Artificial Intelligence?
🔹 History & Evolution of AI
🔹 Real-World Applications of AI
🔹 AI vs Machine Learning vs Deep Learning
Module 2: Basics of AI & Data
🔹 Understanding Data (Structured vs Unstructured)
🔹 Importance of Data in AI
🔹 Data Collection and Preprocessing
🔹 Introduction to Big Data
Module 3: AI Tools & Platforms
🔹 Overview of AI Tools (ChatGPT, Google Bard, DALL·E, etc.)
🔹 AI in Everyday Life (Voice Assistants, Face Recognition)
🔹 Hands-on with AI-powered Applications
Module 4: Introduction to Machine Learning
🔹 What is Machine Learning?
🔹 Types of ML (Supervised, Unsupervised, Reinforcement)
🔹 AI Algorithms Overview
🔹 AI-powered Predictions & Recommendations
Module 5: Basics of Natural Language Processing (NLP)
🔹 What is NLP?
🔹 How AI Understands Language
🔹 Text Processing & Sentiment Analysis
🔹 AI Chatbots & Virtual Assistants
Module 6: AI Ethics & Future
🔹 AI Bias & Ethics
🔹 AI in the Future (Jobs, Automation, Robotics)
🔹 Career Opportunities in AI
🔹 AI Project Ideas for Beginners
Final Project & Certification
🔹 Hands-on Project: Create an AI Chatbot
🔹 Course Review & Q&A
🔹 Certification of Completion
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