Build enterprise AI agents for Microsoft 365 administration with Claude: Microsoft Graph for admins, then identity, licence and Teams administration agents.
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Build Enterprise AI Agents for Microsoft 365 Administration Using Claude SDK
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2:40Build Enterprise AI Agents for Microsoft 365 Administration Using Claude SDKOverview
11:5701. Introduction To Agentic AiHands-on
21:3802. Microsoft Graph For AdministrationHands-on
24:3903. Identity Administration AgentHands-on
24:3604. License Management AgentHands-on
23:5205. Teams Administration AgentHands-on
23:5506. Sharepoint Administration AgentHands-on
24:0307. Exchange Online Administration AgentHands-on
24:4808. Security Compliance AgentHands-on
23:5209. Device Compliance AgentHands-on
12:5610. Mcp For M365 AdministrationHands-on
11:3611. Multi Agent OrchestrationHands-on
10:3112. Reporting And NotificationsHands-on
7:3213. CapstoneHands-on
27:1214. Production Deployment And SchedulingHands-onPrepare for Claude Certified Architect - Professional: Claude architecture, API engineering, prompt and context engineering, tool use and the Model Context Protocol.
21 videos15.2 h
Prepare for Claude Certified Architect - Foundations: how the exam works, when you need an agent, decomposition and execution patterns, multi-agent topologies and Claude Code configuration.
38 videos5.6 h
Prepare for Claude Certified Developer - Foundations: Messages API mechanics, Claude application design, tool use end to end, MCP server development and agents.
34 videos6.9 h
Prepare for Claude Certified Associate - Foundations: prompt anatomy and task decomposition, spotting a wrong answer that looks right, shaping output and choosing the feature and model.
10 videos46 min
Build Model Context Protocol servers from first principles: MCP architecture, the development environment, your first server, then tools and resources in depth.
19 videos7.7 h
Build production AI agents with LangGraph: why graphs instead of chains, state, nodes and edges, control flow, and tools with the ReAct pattern.
20 videos5.6 h
Engineer AI systems end to end: foundations, model inference and routing, context engineering, data and ingestion pipelines, and production RAG.
21 videos14.4 h
Build an agentic AI application in Python lab by lab: logger, memory, a base tool contract, calculator and web search tools, system prompts, the ReAct loop and a CLI.
16 videos2.2 h
Prompt engineering basics: instruction-based and role-based prompts, and zero-, one- and few-shot prompting.
6 videos34 min
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