Course Outline

Introduction to Conversational Agents

  • What are conversational agents?
  • Key components of a conversational agent
  • Overview of LangChain

Setting Up LangChain Environment

  • Installation and configuration of LangChain
  • Understanding LangChain architecture
  • Working with cloud platforms for deployment

Building Your First Conversational Agent

  • Creating basic conversational agents with LangChain
  • Integrating APIs for enhanced functionality
  • Testing and debugging your conversational agent

Advanced LangChain Features

  • Customizing agent behavior
  • Handling context in conversations
  • Incorporating memory into agents

Natural Language Processing for Conversational Agents

  • Introduction to NLP techniques
  • Text preprocessing for conversational agents
  • Sentiment analysis and intent detection

Deploying and Scaling Conversational Agents

  • Deploying agents to cloud platforms
  • Monitoring and maintaining conversational agents
  • Scaling agents for enterprise use

Security and Ethical Considerations

  • Ensuring data privacy in conversational agents
  • Ethical use of AI in automated systems
  • Preventing bias in conversational responses

Future Trends and Advancements in Conversational AI

  • Emerging technologies in conversational AI
  • Integrating conversational agents with voice assistants
  • The future of human-AI interaction

Summary and Next Steps

Requirements

  • Familiarity with Python programming
  • Basic knowledge of AI and Natural Language Processing (NLP)
  • Experience working with APIs

Audience

  • Developers
  • AI Enthusiasts
 14 Hours

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