This intensive 2-day technical training program is designed for AI engineers building production AI Agents using LangChain and Azure OpenAI Service. The course addresses critical challenges in agent development including handling large document collections, preventing hallucinations with structured data, and implementing RAG architectures. Participants will learn techniques such as RAG (GraphRAG, HybridRAG, PathRAG), chunking strategies, reranking, and code retrieval systems for AI-assisted development workflows. The benefits include:-

• Solve challenges with large documents and structured data
• Build AI agents using Azure OpenAI Service
• Implement RAG architectures for knowledge graph-based retrieval
• Learn techniques to reduce hallucinations and improve accuracy
• Create code-aware agents that retrieve and generate code
• Model optimization and inference

LEARNING OBJECTIVES:

By the end of the course, participants will be able to:

• Master LangChain architecture for building AI agents with Azure OpenAI Service
• Implement chunking strategies for large document collections
• Build GraphRAG, HybridRAG, and PathRAG systems for information retrieval
• Deploy reranking to improve retrieval accuracy and reduce hallucinations
• Create code retrieval systems for AI-powered code generation
• Fine-tune models for domain-specific tasks using Azure Machine Learning
• Optimize agent performance with Azure AI Search and vector databases.

TARGET AUDIENCE

• Software engineers and ML engineers building AI agents