19 minutesBuilding more effective AI agents
Improve tool design so agents select the right action with the right parameters.
Web Dev Simplified. A full, code-along build of both an MCP server and a client in TypeScript — tool definitions, schemas, prompts and resources, stdio transport, inspector debugging. It's the closest video on YouTube to actually doing what the article asks you to do, at a pace where you can pause and follow along in your own editor.
SDK APIs and inspector behavior are version-sensitive. Follow the architecture, but verify current MCP SDK signatures, transport guidance, auth expectations and error-handling patterns before using this in production.
Build a first MCP server and understand how tools, schemas, prompts, resources and transports fit together.
TypeScript comfort and a local environment where you can safely test tool calls.
Last reviewed: May 18, 2026
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Hand-picked external courses that go deeper on this topic.
Emory University Goizueta Business School faculty
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.
IBM AI Academy
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.