Building Full Stack AI Chatbots with Java - Livecoding

Overview

Syllabus

• Introduction to Full Stack AI Chatbots
Overview of AI Chatbot Technologies
Understanding the Full Stack Approach
Goals and Expectations for the Course
• Setting Up the Development Environment
Necessary Software and Tools
Installing Java and Relevant Libraries
Introduction to IDEs and Version Control Systems
• Java Fundamentals for AI Development
Key Java Concepts for AI Applications
Object-Oriented Programming Refresher
Handling JSON and APIs in Java
• Understanding Natural Language Processing (NLP)
Basics of NLP
Popular NLP Libraries and Frameworks in Java
Integrating NLP Capabilities into Chatbots
• Designing Conversational Interfaces
Best Practices for Chatbot Conversations
Structuring Conversation Flow
Handling User Inputs and Responses
• Building the Backend with Java
Setting Up the Backend Architecture
Implementing API Endpoints for Chatbot Functionality
Utilizing Java Database Connectivity (JDBC)
• Integrating AI Models
Overview of AI Models for Chatbots
Training and Deploying Models
Using Pre-built AI Services and APIs
• Frontend Development for Chatbots
Basics of Frontend Technologies
Connecting the Frontend with Backend Services
Creating an Engaging User Interface
• Live Coding Sessions
Real-time Implementation of a Simple Chatbot
Expanding Features with Live Demos
Interactive Debugging and Problem Solving
• Testing and Deployment
Writing Unit and Integration Tests
Performance Optimization Techniques
Deploying the Chatbot to Production Environments
• Best Practices and Future Trends
Security and Privacy Considerations
Scalability and Maintenance Tips
Exploring the Future of AI Chatbots
• Course Conclusion
Recap of Key Concepts
Resources for Further Learning
Final Q&A and Feedback Session

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Subjects

Conference Talks