Description

Introduction

Artificial Intelligence (AI) is no longer just a buzzword — it’s a transformative force driving innovations across industries, from healthcare and finance to education and entertainment. This training, Demystifying AI: From Basics to Chatbots, is designed to provide a solid foundation in AI concepts and guide you through building your own intelligent chatbot. Whether you’re a student, a tech enthusiast, or a professional seeking to stay ahead of the curve, this course will give you the clarity and hands-on knowledge needed to navigate and contribute to the AI revolution.

We will begin by understanding the basic concepts that power AI systems, such as machine learning and natural language processing (NLP). Then, we’ll gradually advance to practical applications, culminating in the development of a chatbot using modern tools and platforms.

Prerequisites

This training is beginner-friendly, but to get the most out of it, participants are expected to have:

• Basic computer literacy (familiarity with using a computer, browsing, and managing files)

• Understanding of basic programming concepts (preferably in Python, but we will recap the essentials)

• An open and curious mindset to explore and experiment with new ideas

Optional but helpful:

• Exposure to basic mathematics (especially probability, algebra, and logic)

• Familiarity with APIs and web technologies

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  Table of Contents

  Module 1: Introduction to Artificial Intelligence

  • What is AI? Definitions & Misconceptions

  • History & Evolution of AI

  • Types of AI (Narrow, General, Superintelligent)

  Module 2: Core Concepts of Machine Learning

  • What is Machine Learning?

  • Supervised vs Unsupervised vs Reinforcement Learning

  • Key Algorithms and Their Applications

  Module 3: Data: The Fuel of AI

  • Importance of Data in AI

  • Data Preprocessing Basics

  • Introduction to Datasets (text, image, tabular)

  Module 4: Natural Language Processing (NLP)

  • What is NLP?

  • Text Processing and Tokenization

  • Introduction to Language Models

  Module 5: AI Tools and Platforms

  • Overview of Python Libraries (scikit-learn, NLTK, spaCy, Transformers)

  • Using Pre-trained Models

  • Working with OpenAI APIs and Hugging Face

  Module 6: Introduction to Chatbots

  • What is a Chatbot?

  • Rule-Based vs AI-Powered Chatbots

  • Use Cases Across Industries

  Module 7: Building Your First Chatbot

  • Designing a Conversational Flow

  • Implementing a Rule-Based Chatbot (using Python)

  • Building a Simple AI Chatbot using OpenAI API

  Module 8: Ethics, Risks, and the Future of AI

  • Ethical Concerns and Bias in AI

  • AI Safety and Regulation

  • Trends and What’s Next

  Module 9: Capstone Project

  • Build and Deploy a Functional Chatbot

  • Presentations and Peer Review

  • Feedback and Future Learning Resources