ML1

Create Your Own Hybrid Chatbot and Live Chat System for Customer Support

Transform Customer Support with AI: Build Your Own Hybrid Chatbot System

Skills you will gain:

This program covers all aspects of creating a hybrid chatbot system, from selecting the right technology stack to deploying and monitoring the chatbot. Participants will learn how to design a chatbot that interacts with users efficiently and can seamlessly hand off complex queries to live agents.

Aim: To equip developers, business owners, and IT professionals with advanced skills in building hybrid chatbots for customer support. This course will focus on creating chatbots with AI capabilities, integrating real-time communication, and ensuring seamless transitions between bots and live agents.

Program Objectives:

  • Learn to create an AI-powered chatbot for customer support.
  • Implement real-time communication with WebSockets.
  • Ensure seamless bot-to-agent handoffs for complex queries.
  • Develop a user-friendly chat interface.
  • Gain hands-on experience with cloud deployment and monitoring.

What you will learn?

  1. Understanding Your Requirements
    • Identifying tasks for the chatbot (FAQs, complex queries)
    • Deciding on CRM and analytics features
  2. Choosing the Tech Stack
    • Frontend (JavaScript, React.js) and backend (Node.js, Python)
    • Picking the right NLP engine: Google Dialogflow, Rasa, IBM Watson
  3. Building the NLP Chatbot
    • Training the chatbot using intents, entities, and contexts
    • Setting up AI-driven chat responses and handoffs to agents
  4. Real-Time Communication
    • Setting up WebSockets for real-time chat functionality
    • Ensuring smooth conversations between users and bots
  5. Bot-to-Agent Handoff
    • Building a dashboard for live agents to monitor and manage conversations
  6. Creating the Chat Interface
    • Designing an intuitive and user-friendly chat interface using React.js
  7. Testing and Improving
    • Load testing and improving the chatbot’s performance
    • Testing with different scenarios (simple to complex queries)
  8. Security and Data Privacy
    • Implementing SSL encryption, authentication, and GDPR compliance
  9. Deploying and Monitoring
    • Deploying on AWS, Google Cloud, or Heroku
    • Monitoring performance with tools like New Relic or Datadog

Intended For :

Developers, IT professionals, business owners, and customer support teams.

Career Supporting Skills

Chatbot Development Real-Time Communication AI Integration WebSockets Frontend/Backend Development