LlamaIndex: Developing LLM Powered Applications Training Course

Introduction to LlamaIndex

• Understanding LlamaIndex and its role in the LLM ecosystem
• Setting up LlamaIndex: environment configuration and prerequisites
• Fundamentals of indexing custom data

LlamaIndex in Action

• Querying with LlamaIndex: techniques and best practices
• Building query and chat engines using LlamaIndex
• Creating intuitive Streamlit interfaces for LLM applications

Advanced LlamaIndex Features

• Utilizing retrieval-augmented generation (RAG) for superior data retrieval
• Leveraging vector stores for efficient data management
• Designing and implementing agents with LlamaIndex

Application Development with LlamaIndex

• Prompt engineering: chain of thought, ReAct, and few-shot prompting strategies
• Developing a documentation assistant: a real-world LLM use case
• Debugging and testing LLM-based applications

Deployment and Scaling

• Deploying applications built with LlamaIndex
• Scaling LLM applications for high-performance requirements
• Monitoring and optimizing LLM application performance

Ethical and Practical Considerations

• Navigating ethical implications in LLM applications
• Ensuring privacy and data security with LlamaIndex
• Preparing for future advancements in LLM technology

Summary and Next Steps