Building a Real-Time AI Chatbot for Social Media with Confluent and Databricks

Overview

Learn to create an AI-powered social media chatbot using Confluent and Databricks, enabling real-time customer engagement and automated responses to product reviews.

Syllabus

• Introduction to AI Chatbots
Overview of Chatbot Technology
Applications of AI Chatbots in Social Media
• Fundamentals of Real-Time Data Processing
Introduction to Streaming Data
Key Concepts in Real-Time Data Handling
• Getting Started with Confluent
Setting Up Confluent Platform
Understanding Apache Kafka and Confluent Ecosystem
Producing and Consuming Messages
• Building Real-Time Data Pipelines
Designing a Data Architecture for Chatbots
Integrating Confluent with Social Media Platforms
• Introduction to Databricks
Setting Up the Databricks Environment
Working with Databricks Notebooks
Using Apache Spark for Data Processing
• Developing the AI Chatbot
Natural Language Processing (NLP) Basics
Training Chatbot Models with MLlib
Leveraging Pre-trained Models for Social Media Data
• Integrating Confluent and Databricks
Streaming Data from Confluent to Databricks
Real-time Data Processing and Analysis
• Building the Real-time Chatbot Interface
Designing User Interactions for Social Media
Implementing Automated Response Systems
• Deployment and Monitoring
Deploying the Chatbot in a Production Environment
Setting Up Monitoring and Logging for Real-time Systems
• Best Practices and Security Considerations
Ensuring Data Privacy and Security
Scalability and Reliability in Real-Time Systems
• Final Project: Building and Deploying a Real-Time AI Chatbot
Project Specification and Requirements
Presenting and Sharing Outcomes
• Course Summary and Next Steps
Recap of Key Learnings
Further Resources and Learning Paths

Subjects

Programming