LLM Integration Training

What We Cover

• 1
  LLM APIs and SDKsOpenAI, Anthropic, and open-source LLM APIs — authentication, rate limits, and cost management.
• 2
  Prompt Engineering for DevelopersSystem prompts, structured output, tool use, and production-grade prompt patterns.
• 3
  Retrieval-Augmented Generation (RAG)Building RAG pipelines: embeddings, vector databases, chunking strategies, and retrieval evaluation.
• 4
  Tool Use and Function CallingDesigning tools, handling tool outputs, and building multi-step agent workflows.
• 5
  Error Handling and ReliabilityRetry logic, fallbacks, output validation, and building resilient LLM-powered systems.
• 6
  Evaluation and MonitoringLLM evaluation frameworks, production monitoring, and detecting model drift.