Learn how to build real-world AI agents using frameworks like LangChain, LangGraph, CrewAI, and AutoGen. This playlist covers agent architectures, workflows, tool calling, memory, and real-world use cases — from beginner to advanced. Perfect for AI engineers, developers, and system design learners. #AIAgents #GenerativeAI #LangChain #AIEngineering
Curated by: Naveen Tech Hub (38 videos)
Learn Langfuse from concepts to practical implementation in one complete tutorial. We start with the fundamentals of LLM observability and then show how to monitor a real RAG application using Python and Langfuse. You’ll learn: • What Langfuse is and why LLM observability matters • Trace vs Span vs Generation vs Session • RAG and Agentic AI tracing • Prompt management and versioning • LLM evaluation and LLM-as-a-Judge • Token, latency, cost, and error monitoring • Python SDK instrumentation • Retrieval and LLM generation tracing • Production debugging and best practices Practical flow: User → RAG Retrieval → Prompt → LLM → Evaluation → Response By the end, you’ll understand how to observe, debug, evaluate, and monitor production GenAI applications. Ideal for AI Engineers, GenAI Engineers, LLM Engineers, AI Architects, MLOps/LLMOps engineers, and interview preparation. Subscribe to Naveen TechHub for practical Generative AI, RAG, Agentic AI, Python, Cloud, DevOps, and AI Architecture tutorials. #Langfuse #LLMObservability #RAG #LLMOps #GenerativeAI #AgenticAI #AIEngineering #LangGraph #Python #naveentechhub