Course topics include:
- Basic concepts of Dialogflow
- Theory and practice of chatbot conversation design
- Applications and advanced functionalities of chatbots
- Chatbot Optimization and Deployment
Basic concepts of Dialogflow
This course will introduce the basic concepts of Dialogflow, including platform introduction, agent creation, entities and intents, training and testing, context management, and dialogue flow control. It aims to help students quickly learn the skills required to build intelligent chatbots.
Dialogflow Platform Introduction
Creating a Dialogflow Agent
Entities and Intents
Training and Testing Chatbots
Context Management and Dialogue Flow Control
Theory and practice of chatbot conversation design
These course contents will cover dialogue design principles, use case analysis and dialogue tree design, Dialogflow entity and intent configuration, and implementing dialogue management using built-in Dialogflow features. They will help students better grasp the skills of chatbot design.
- Dialogue Design Principles
- Use Case Analysis and Dialogue Tree Design
- Dialogflow Entity and Intent Configuration
- Implementing Dialogue Management using Built-in Dialogflow Features
Chatbot Application Development
- App Inventor Basic Concepts and Applications
- Introduction to App Inventor
- Creating an App Inventor Project
- Designing Interface and Programming Logic
- Interacting with Dialogflow using Web API
- Integrating Chatbot Functionality with App Inventor
- Designing Chat Interface
- Handling User Input and Bot Responses
- Integrating Dialogflow API
- Testing and Optimizing Chatbot Functionality
Applications and advanced functionalities of chatbots
This course will also explore chatbot application and advanced features, such as integrating weather query functionality, movie recommendation capabilities, and personalized conversation experiences. It will also discuss other application scenarios, enabling students to flexibly apply their knowledge to create more intelligent and personalized chatbots.
- Integrating Weather Query Functionality
- Movie Recommendation Functionality
- Personalized Conversation Experiences
- Exploration of Other Application Scenarios
Fun AI fact
What is a Chatbot? What does it have to do with AI?
A chatbot is a computer program or artificial intelligence (AI) application that simulates human conversation behavior. Typically, chatbots interact with users through text or voice, answering questions, providing information, performing specific tasks, or serving entertainment purposes. Chatbots can be deployed on various platforms, such as websites, instant messaging tools, social media, and smart assistants.
The relationship between chatbots and AI lies in the fact that many chatbots leverage AI technologies, particularly natural language processing (NLP) and machine learning (ML), to understand user input language, generate appropriate responses, and engage in effective conversations with users. These AI-powered chatbots can learn from extensive conversational data, continuously improving their conversational abilities and accuracy.
AI-based chatbots have stronger intelligence and flexibility compared to rule-based chatbots. Rule-based chatbots rely primarily on predefined conversation flows and response templates, while AI-powered chatbots can better understand different contexts, grasp language diversity, and provide more natural and personalized conversation experiences.
