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)
How do you test an AI system when the answer can change every time? In this beginner-friendly roadmap, we move from traditional QA into AI/ML testing, LLM evaluation, RAG testing, agentic AI testing, safety, security, observability and production release gates. You will learn how to test one practical enterprise GenAI/RAG policy assistant across the full quality stack: data, retrieval, prompts, models, tools, actions, risk, cost and real production behavior. Topics covered: - Traditional QA vs probabilistic AI evaluation - Data and ML model quality - LLM behavior contracts and evaluation datasets - RAG retrieval, groundedness and citation quality - Agent tool calls, trajectories and permissions - AI safety, OWASP-aligned security testing and red teaming - Evaluation scorecards, observability and release workflow - Tools, learning roadmap and interview guidance Subscribe to Naveen TechHub for practical software testing, automation and AI engineering tutorials.