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CHAT BOTS TRAINING IN NEW DELHI

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CHAT BOTS COURSE MODULE

Our KWT Digital Marketing Institute in Uttam Nagar offers training in digital marketing and emerging technologies with a focus on chatbots. Our course covers chatbot development using platforms like Dialogflow, IBM Watson, or Microsoft Bot Framework, designing conversational flows, and implementing chatbots across various channels. In Chat Bots Training you will learn about chatbot development methodologies, natural language understanding, sentiment analysis, chatbot deployment strategies, and optimization techniques.

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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