Chat Bots Training in New Delhi

Course Title: Understanding and Use of Chatbots

Module 1: Introduction to Chatbots

  • Understanding the concept and purpose of chatbots
  • Exploring the benefits and use cases of chatbots
  • Differentiating between rule-based and AI-powered chatbots
  • Overview of popular chatbot platforms and tools

Module 2: Chatbot Development Basics

  • Introduction to programming languages and frameworks for chatbot development
  • Understanding natural language processing (NLP) and machine learning concepts
  • Exploring chatbot architecture and design considerations
  • Overview of APIs and integration with messaging platforms

Module 3: Designing Chatbot Conversations

  • Understanding user personas and user-centric design for chatbots
  • Creating conversational flows and user prompts
  • Implementing natural language understanding (NLU) for chatbot interactions
  • Writing effective chatbot responses and error handling

Module 4: Building Rule-Based Chatbots

  • Introduction to rule-based chatbot development
  • Creating chatbot rules and predefined responses
  • Implementing conditional logic and decision trees
  • Testing and refining the functionality of rule-based chatbots

Module 5: Introduction to AI-Powered Chatbots

  • Understanding the basics of AI and machine learning in chatbots
  • Overview of natural language processing (NLP) and natural language understanding (NLU)
  • Exploring intent recognition and entity extraction for chatbot interactions
  • Introduction to sentiment analysis and language generation

Module 6: Developing AI-Powered Chatbots

  • Utilizing pre-trained models and APIs for AI-powered chatbot development
  • Training chatbot models using machine learning frameworks
  • Integrating chatbots with language understanding platforms (e.g., Dialogflow, Wit.ai)
  • Improving chatbot performance through continuous learning and feedback loops

Module 7: Chatbot Integration and Deployment

  • Integrating chatbots with messaging platforms (e.g., Facebook Messenger, Slack)
  • Configuring webhooks and chatbot authentication
  • Deploying chatbots to webpages and mobile applications
  • Testing and troubleshooting chatbot integration and deployment

Module 8: Chatbot Analytics and Optimization

  • Setting up analytics for tracking chatbot performance and user interactions
  • Analyzing chatbot data to gain insights and identify areas for improvement
  • Implementing user feedback mechanisms and sentiment analysis
  • Optimizing chatbot responses and conversation flows based on data analysis

Module 9: Chatbot Use Cases and Industry Examples

  • Exploring real-world chatbot use cases in various industries (e.g., customer support, e-commerce, healthcare)
  • Case studies and examples of successful chatbot implementations
  • Identifying opportunities for chatbot integration in different business contexts
  • Discussing ethical considerations and best practices in chatbot development and use

Module 10: Future Trends in Chatbots and Conversational AI

  • Exploring emerging technologies and trends in chatbots and conversational AI
  • Understanding voice assistants and chatbot integration with voice interfaces
  • Discussing the potential impact of chatbots in the future of customer interactions
  • Identifying opportunities for further learning and specialization in chatbot development and management
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