19 minutesBuilding more effective AI agents
Improve tool design so agents select the right action with the right parameters.
AdvancedAI for Business
Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic
AI Engineer. Anthropic's Mahesh Murag walking through MCP's design — why tools, resources, and prompts are separated, how clients negotiate capabilities, what production hosts actually do with the protocol. Watch it after the build to understand the parts of MCP the SDK quietly hides and to calibrate the article's "production-ready" checklist against the spec authors' intent.
AI Expert note
Strong as architecture background, but not enough by itself for deployment. Pair it with current security guidance on credentials, user consent, tool permissions and hosted server exposure.
What you should get from this
Understand how MCP fits into agentic systems beyond a local demo server.
Watch or know first
Have seen a basic MCP server build or read the protocol overview.
Last reviewed: May 18, 2026
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Take it further
Hand-picked external courses that go deeper on this topic.
Coursera · Emory UniversityGenerative AI in Marketing
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The deeper, university-level counterpart to our beginner HubSpot marketing pick — Emory's business-school treatment goes past 'how to prompt' into training generative models for brand-specific output, the purchase-funnel economics of AI-generated content, and a full module of genuine skepticism about when generative AI is and isn't worth using in marketing.
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Coursera · IBMGenerative AI for Executives and Business Leaders
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The genAI-era answer to the executive-strategy question. Three short courses aimed squarely at business leaders — no technical background required — on where generative AI creates value, how to govern it responsibly, and how to turn a vague "we should use AI" into a concrete, defensible use case. Rated 4.6 across ~700 reviews. Best taken before your next AI budget decision.
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