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DetailIntroduction to Model Context ProtocolApplied AI Foundations
ProviderAnthropicOpenAI
Our rating4.04.4
CostFreeFree
TimeTime not stated1.3 hours
LevelIntermediateIntermediate
Credentialcertificate of completion (free)certificate of completion (free)
Open toWorldwideWorldwide
Free inWorldwideWorldwide
Content written forAny countryAny country
SummaryBuilding MCP servers and clients in Python: the three primitives (tools, resources, prompts), the transport-agnostic message flow, the server inspector, and connecting Claude to external services without hand-written integration code.The step after AI Foundations: learners take a workflow they repeat, break it into steps, find where AI adds value and build a practical plan to use AI across that process, turning one-off prompts into repeatable workflows.
Objectives
  • Explain MCP architecture and the request-response flow
  • Build an MCP server with tools, resources and prompts using the Python SDK
  • Build a client and test with the MCP inspector
  • Map a recurring piece of work into clear steps
  • Identify which steps AI can help with and which need a person
  • Turn useful prompts into a repeatable workflow
  • Build a practical plan for using AI across a real process
Things to know
  • Python required
  • Duration not stated
  • Uses ChatGPT specifically.
  • Course is about 80 minutes; the full learning path with assessment is listed at 1h 50m.
  • Badge requires passing an assessment at 80% or higher.
  • Lesson-level module titles are only visible after enrolling; the public page lists the course plus its assessment.
  • OpenAI says badges and certificates of completion are not certifications and do not guarantee eligibility for a future OpenAI Certification.
Our course pageIntroduction to Model Context ProtocolApplied AI Foundations

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