INTRODUCTION FOR AI CHATBOT DISCOVERY & DEVELOPMENT
AI Chatbot Discovery & Development course introduces participants to the fundamentals of artificial intelligence, large language models (LLMs), and the evolution of AI-powered chatbots. Day 1 focuses on building awareness, curiosity, and understanding of how chatbots work, including real-world applications. Day 2 provides hands-on experience with chatbot development using no-code tools, prompt engineering, and prototyping your own functional bots.
COURSE OBJECTIVES
By the end of this course, participants will:
- Understand how AI and LLMs power modern chatbots
- Compare different chatbot platforms and use cases
- Apply prompt engineering to control AI chatbot behavior
- Design and prototype an interactive chatbot using visual tools
- Explore ethical considerations in AI usage
LEARNING OUTCOMES
Participants will be able to:
- Describe the function and evolution of AI chatbots
- Distinguish between rule-based and LLM-powered bots
- Build chatbot conversations using prompt logic
- Create and customize a chatbot using a no-code tool (e.g., n8n)
- Apply AI responsibly in educational or business contexts
WHO SHOULD ATTEND
- Educators, students, and professionals exploring AI tools
- Beginners curious about AI in daily life
- Teams interested in developing their own chatbots
- Tech enthusiasts and creators looking to prototype with AI
COURSE METHODOLOGY
- 50% Hands-on exploration & creation
- 30% Concept demonstrations
- 20% Peer discussion and sharing
COURSE CONTENT
Day 1: Awareness and Curiosity
Module 1: What is Artificial Intelligence?
- AI vs Human Intelligence
- Types of AI: Narrow, General, and Super AI
- Real-world examples of AI in action
Module 2: Large Language Models (LLM) Demystified
- What is an LLM and how does it work?
- Language prediction and generation at scale
- Examples: ChatGPT, Claude, Gemini, Deepseek
Module 3: Evolution of Chatbots
- Rule-based chatbots vs. AI-powered chatbots
- Key improvements with LLM integration
- Limitations of past chatbot models
Module 4: Comparing AI Chatbots
- Side-by-side usage and capabilities (ChatGPT vs Gemini vs Claude)
- Strengths and weaknesses across tools
- Demo: Prompting 3 chatbots on the same task
Module 5: Real-World AI Applications
- AI in education, customer service, marketing, and healthcare
- Case studies of AI chatbot success
Module 6: Ethics, Bias & Limitations
- Understanding bias in AI outputs
- How to use AI responsibly
- Data privacy and safety concerns
Module 7: Interactive AI Showcase
- Live demo of AI chatbots generating:
- Text (email, blog)
- Images
- Videos
- Group discussion on quality, tone, and usefulness
Day 2: Creativity and Hands-On Fun
Module 8: Introduction to No-Code Chatbot Tools
- Overview of visual builders (e.g., n8n)
- Key features: nodes, triggers, flows
- Setting up a chatbot workspace
Module 9: Prompt Engineering 101
- What is a prompt and why it matters
- Elements of effective prompting
- Examples: instructions, tone, persona, format
Module 10: Designing Conversational Flows
- Bot personalities: friendly, formal, expert
- Building branching logic
- Response patterns and fallback options
Module 11: Building Your First Chatbot
- Setting up basic interactions
- Trigger-response design
- Quick integration with messaging platforms (demo only)
Module 12: Fine-Tuning Your Chatbot
- Adjusting tone, timing, and fallback responses
- Adding personality and roleplay
- Saving and testing variations
Module 13: Workshop – Build & Test Your Own Bot
- Participants choose a chatbot type:
- Educational Tutor Bot
- Feedback Bot
- Assignment Assistant Bot
- Prototype creation using provided flow templates
- Peer testing and iteration
