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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