INTRODUCTION FOR AI CHATBOT DISCOVERY & DEVELOPMENT
The AI Chatbot Discovery & Development course introduces participants to the fundamentals of artificial intelligence, large language models (LLMs), and the rapid evolution of AI-powered chatbots. It provides a clear overview of how chatbots work, including how they process human language, generate responses, and are applied in real-world scenarios such as customer service, education, marketing, and business automation. The program is designed to build awareness and curiosity while helping participants understand the growing importance of AI in today’s digital world.
Over the two-day course, participants will first explore the core concepts and development of AI chatbots, including their history and practical applications across different industries. They will then move into a hands-on learning experience where they will create simple chatbots using no-code tools and learn basic prompt engineering techniques to improve AI responses. By the end of the program, participants will have a functional chatbot prototype and a foundational understanding of how to design and develop AI-driven conversational tools.
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
Keywords: AI chatbot, real world AI application, AI training
