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AI Interview MasteryIntermediate → SeniorNEW
GenAI & LLM Interviews
Complete GenAI interview prep for 2026 roles — OpenAI & Azure OpenAI, Claude/Gemini, prompt engineering, model selection, RAG & smart search, AI agents, orchestration (LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel), MCP, pharmacy/copilot use cases, and production guardrails.
4.9rating1,870 students7h 30m total30 lessons
What you'll learn
Compare OpenAI, Azure OpenAI, Claude, and Gemini and justify model selection
Design RAG and smart-search systems with hybrid retrieval and evaluation
Explain agent architecture, orchestration, and when to use LangGraph vs CrewAI vs Semantic Kernel
Describe MCP servers and secure tool integration for enterprise copilots
Answer system design for pharmacy assistants, internal copilots, and workflow automation
Demonstrate production patterns: guardrails, cost routing, compliance, and evals
Final Project
Complete a GenAI system design interview: design a pharmacy assistant with RAG, multi-agent orchestration, MCP tools, Azure OpenAI, and production guardrails
Curriculum
30 lessons · 7h 30mCourse Info
Lessons30 lessons
Total time7h 30m
LevelIntermediate → Senior
Students1,870
Rating4.9 / 5.0