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Detail	Model Context Protocol: Advanced Topics	Building AI
Provider	Anthropic	University of Helsinki
Our rating	3.8	4.3
Cost	Free	Free
Time	Time not stated	Time not stated
Level	Advanced	Beginner to intermediate
Credential	certificate of completion (free)	certificate of completion (free)
Open to	Worldwide	Worldwide
Free in	Worldwide	Worldwide
Content written for	Any country	Any country
Summary	The follow-on MCP course: sampling, notifications, progress, roots, transports and production concerns for servers that run beyond a laptop.	Part two of Elements of AI: how the algorithms behind AI actually work, from optimisation and probability to machine learning and neural networks, with optional coding exercises in Python for those who want them. Free, from the same team as the introduction course already listed.
Objectives	Use MCP sampling, notifications and progress Choose and configure transports for production Design servers that scale beyond a single machine	Understand the main algorithms behind modern AI Work through optimisation, probability and machine learning examples Optionally implement simple methods in Python
Things to know	Narrow audience Duration not stated	Some maths; the intermediate track expects comfort with basic algebra Provider update date not shown
Our course page	Model Context Protocol: Advanced Topics	Building AI

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