Overview
This course is ideal for developers who possess knowledge of application development and programming languages and have a foundational understanding of artificial intelligence and natural language processing concepts. Developers seeking to enhance their skills in chatbot development and leverage AI technologies in their projects will benefit from this training.
Objectives
- By the end of this training, participants will be able to design, build, evaluate, and test chatbot services to provide automated chat or voice support interfaces for their users.
Audience
- Developers
Pre- requisites
- Knowledge of application development and programming languages
- Understanding of artificial intelligence (AI) and natural language processing (NLP) concepts
Duration: 2 days – 14 hrs
Course Content
Introduction
- Overview of Chatbots and Artificial Intelligence (AI).
- Understanding the role and applications of chatbots in modern software development.
Understanding Chatbot Architecture and Natural Language Processing (NLP)
- Components and architecture of a chatbot system.
- Fundamentals of natural language processing and its relevance to chatbots.
Exploring Applications for Chatbots and Chatbot Types
- Identifying use cases for chatbots in various industries and domains.
- Different types of chatbots and their functionalities.
Understanding Customer Goals and Needs
- Analyzing user requirements and understanding customer expectations.
- Defining chatbot goals and performance metrics.
Designing Chatbot Scripts and Flow
- Structuring chatbot conversations for optimal user experience.
- Implementing dialogue flow and user interactions.
Building Chatbots Using Code-Based Frameworks
- Overview of code-based chatbot frameworks and libraries.
- Hands-on coding for building a simple chatbot.
Exploring Existing Platforms for Building Chatbots
- Review of popular chatbot development platforms and tools.
- Choosing the right platform based on project requirements.
Setting Up a Developer Environment for Chatbots
- Configuring the development environment for chatbot development.
- Integrating necessary libraries and APIs.
Working with Training Data for NLP Models
- Preparing and formatting training data for natural language processing models.
- Data cleaning and pre-processing techniques.
Designing a Text Classifier Model
- Building a text classifier model for intent recognition.
- Training the model and evaluating its performance.
Working with Entities, Intents, and Contexts
- Identifying and handling entities in user inputs.
- Managing user intents and maintaining context in conversations.
Working with Server Integration and Data Syncing
- Connecting the chatbot to server-side applications and services.
- Synchronizing chatbot data across different platforms.
Creating a Simple Text-Based Chatbot
- Implementing a basic text-based chatbot with AI capabilities.
- Testing and refining the chatbot’s responses.
Creating a Simple Voice-Based Chatbot
- Integrating speech recognition technology for voice-based chatbots.
- Building a voice-based chatbot with natural language understanding.
Using Speech Recognition Technology
- Understanding speech-to-text conversion and its applications.
- Incorporating speech recognition into chatbot functionalities.
Evaluating and Testing Chatbots
- Techniques for evaluating chatbot performance and user satisfaction.
- Testing methodologies to identify and resolve issues.
Troubleshooting
- Common challenges and troubleshooting techniques in chatbot development.
- Best practices for maintaining and improving chatbot functionality.
