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Courses/Model Context Protocol: Advanced Topics
Model Context ProtocolAdvanced

Model Context Protocol: Advanced Topics

Design, secure, observe, and migrate remote MCP services with current lifecycle behavior, Streamable HTTP, explicit authorization, bounded concurrency, and a tested rollback path.

What is Model Context Protocol: Advanced Topics?

Model Context Protocol: Advanced Topics is an AcademAI advanced course in the Model Context Protocol path for learners who want practical AI capability instead of passive tool exposure. It belongs to the Claude and Claude Code Training topic hub. The course includes 8 modules and an estimated workload of 4-5 hours. Start with the free AI Fluency foundation course before checkout; paid membership unlocks full access to this course and the broader catalog. The course is designed for professionals, students, educators, builders, and teams choosing a focused AI workflow. Learners should expect prerequisites such as Introduction to MCP course. Core outcomes include practical AI fluency, safer workflow design, and human review habits. AcademAI course material is source-informed by public provider documentation where relevant, but the lessons, exercises, scenario mastery tests, and completion certificates are independently written by AcademAI and are not official provider certifications.

Membership course. The course overview is public. Join AcademAI to read the lessons, save progress, complete scenario tests, and earn certificates.
Join AcademAI to read the lessonsMembership unlocks full lesson access

AcademAI-original course informed by the public Model Context Protocol specification and Python SDK documentation.

This AcademAI completion certificate is not official Anthropic or Model Context Protocol certification.

Related topic hub

This course is part of Claude and Claude Code Training, AcademAI's crawlable guide to the audience, outcomes, prerequisites, source policy, and recommended course sequence for this topic.

Course Modules

1

Version and Capability Negotiation

Initialize, negotiate, shut down, and recover safely

2

Sampling and Human Control

Mediate model requests with cost and approval limits

3

Notifications, Progress, and Cancellation

Report work and stop it without legacy transport assumptions

4

Resources and Filesystem Boundaries

Constrain roots, paths, subscriptions, and writes

5

Streamable HTTP

Operate the current remote transport safely

6

Authorization and Security

Apply OAuth, token, network, and session controls

7

Resilience and Observability

Bound concurrency, retry safely, and trace failures

8

Deployment and Migration Exercise

Move from legacy SSE with tests and rollback

Scenario mastery test

After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.

Take scenario test

Prerequisites

  • ✓Introduction to MCP course

Resources

  • https://modelcontextprotocol.io/specification/2025-11-25/basic/transports
  • https://modelcontextprotocol.io/specification/2025-11-25/basic/authorization
  • https://modelcontextprotocol.io/specification/2025-11-25/basic/security_best_practices
  • https://github.com/modelcontextprotocol/python-sdk

Course Information

Level
Advanced
Est. Time
4-5 hours
Modules
8
Start Course

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