AI Chatbot Development (DialogFlow, GPTs) full Syllabus

MODULE 1: Introduction to Chatbots & AI Conversation

• What is a chatbot? Types: Rule-based vs AI-powered
• Real-life use cases (Customer support, booking, education, etc.)
• Overview of chatbot platforms: DialogFlow, GPTs, Rasa, BotPress, etc.
• What makes a bot “human-like”?

MODULE 2: Understanding NLP (Natural Language Processing)

• What is NLP & why it matters for chatbots
• Key NLP concepts: Intent, Entity, Context
• Preprocessing user inputs (tokenization, stemming, lemmatization)
• NLP engines (DialogFlow, OpenAI, LUIS, etc.)

MODULE 3: DialogFlow CX & ES (Beginner to Advanced)

Basic Concepts

• Google DialogFlow console overview
• Agent creation, Default intents
• Training phrases, responses, parameters
• Testing & debugging

Intermediate Topics

• Entities (system, custom)
• Context handling
• Fulfillment using Webhooks (Node.js or Python)

Advanced Topics

• Slot-filling
• Rich responses (cards, carousels, quick replies)
• Multi-turn conversations
• Integrating DialogFlow with web, Messenger, WhatsApp, Telegram
• Small talk, fallback, default events
• DialogFlow CX (advanced flow builder for large bots)

MODULE 4: GPT-based Chatbots (Using OpenAI GPT-4/GPT-3.5 API)

Basics

• What is GPT? How is it different from traditional bots?
• Creating an OpenAI account & API key
• Understanding GPT prompts & temperature, max_tokens, top_p, frequency_penalty
• Tools to build GPT bots (Node.js, Python, Make, Bubble, LangChain)

Building with OpenAI API

• Setting up a simple chatbot using OpenAI API (Python or JS)
• Memory in GPT chats (token-based memory vs external memory logic)
• Prompt engineering: structure, few-shot learning
• Context awareness & follow-up message handling
• Conversation history management

GPTs via ChatGPT Custom GPTs

• Introduction to OpenAI’s GPT Builder
• Crafting instructions and knowledge for your GPT
• Uploading files, APIs, tools to your custom GPT
• Publishing your own GPT bot
• Use-cases: teaching bots, support bots, storytelling bots, etc.

MODULE 5: Backend & Database Integration

• Connecting chatbots to databases (MongoDB, MySQL, Firebase)
• Saving user data (name, email, queries, etc.)
• Contextual answers using database lookups
• Real-time info integration via APIs (weather, price, etc.)

MODULE 6: UI/UX Design for Chatbots

• Designing friendly & emotionally aware responses
• Conversational flow best practices
• Building chatbot UI using:
  • BotUI.js
  • React with OpenAI
  • WhatsApp, Messenger, or website widget

MODULE 7: Deployment & Integration

• Deploying chatbot on:
  • Website
  • WhatsApp (using Twilio/360dialog)
  • Facebook Messenger
  • Telegram
• Hosting DialogFlow fulfillment (Firebase functions, Heroku, Render, Vercel)
• Securing API endpoints (CORS, Auth)

MODULE 8: Analytics & Improvements

• Using DialogFlow analytics
• Using Google Analytics for web bots
• Feedback loops and bot training
• User data & privacy compliance (GDPR)

MODULE 9: Monetization & Real-world Projects

• Freelancing as a chatbot developer
• Building bots for lead generation, course selling, etc.
• Integrating payment gateways in bots (Razorpay/Stripe via webhook)
• Case studies of successful chatbot businesses

MODULE 10: Bonus Tools & No-Code Options

• Tidio, Landbot, ManyChat, BotStar, CollectChat
• Using Make (Integromat), Zapier with chatbots
• Hybrid bots: GPT + DialogFlow
• Voice-enabled chatbots with Google Assistant & Alexa