Get hands-on designing secure, intelligent AI agent workflows using the Model Context Protocol (MCP) in this labs-driven course. You’ll see how AI systems connect to external tools, services, and data sources. You’ll learn how those connections can be designed to stay safe and predictable using structured permissions, user prompts, and validation workflows. And in hands-on labs, you’ll build agents that reason, retrieve information, and carry out tasks while maintaining security and control.
You’ll also work with permission enforcement models, JSON-schema-based elicitation, auditing concepts, and real-world security scenarios. You’ll explore how MCP works and why secure design decisions matter in practice. Plus, you’ll break down user requests, shape safe execution flows, and reduce the risk of unintended actions.
Finally, you’ll plan and test a complete MCP-driven agent workflow, showing how usability, capability, and security come together in a real implementation.
This course is designed for professionals in development, architecture, automation, or AI-powered applications who want hands-on, practical experience building responsible AI workflows.
Status: Context Management
Context Management
Status: AI Integrations
AI Integrations
Intermediate·Course·10 hours
Featured reviews
5.0
·Reviewed Jul 22, 2026
MCP is an interesting technology, and this course provides a solid foundation in its architecture. The hands-on labs complement the theory with practical examples.
5.0
·Reviewed Sep 11, 2026
An excellent course to understand the internals of MCP. It provided me a deep understanding of MCP protocol and its applications.
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Showing: 11 of 11
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K
KhvichaDev
5.0
·Reviewed Mar 19, 2026
This is a comprehensive and highly structured specialization for any serious engineer. It doesn't just scratch the surface; it covers the entire pipeline from Vector Databases and Advanced RAG to complex Agentic orchestration with LangGraph and MCP. The curriculum is perfectly balanced between theoretical foundations and production-ready implementation. A gold standard for anyone looking to master the current AI infrastructure landscape.
D
Darren
5.0
·Reviewed Jul 23, 2026
MCP is an interesting technology, and this course provides a solid foundation in its architecture. The hands-on labs complement the theory with practical examples.
C
Ctesibius
5.0
·Reviewed Sep 12, 2026
An excellent course to understand the internals of MCP. It provided me a deep understanding of MCP protocol and its applications.
A
Alessandro
5.0
·Reviewed Feb 19, 2026
Bellissimo corso e completo da principiante al professionale
D
devraj
5.0
·Reviewed Apr 1, 2026
very good course on MCP. highly recommend.
T
Thanh
5.0
·Reviewed Mar 22, 2026
Great course
S
SANDEEP
5.0
·Reviewed May 15, 2026
excellent
F
Filip
4.0
·Reviewed Jun 22, 2026
This course is very instense. Labs are very well prepared, they can be used as templates for future projects. On the downside - after completing this course I still do not know why I should use MCP as compared e.g. with Langgraph. Another downside is the discussion forum: it does not seem to be moderated. I had problems with two labs where not everything worked as expected yetI did not receive any feedback to my questions in the forum.
K
Kayque
3.0
·Reviewed Aug 30, 2026
A teoria do curso foi muito boa, mas senti falta de mais atividades práticas já que a maioria dos laboratórios eram de certa forma limpos e sem conteúdo para seguir como orientação
A parte teorica em si é boa, porém as vezes senti a repetição de assuntos conforme iriamos avançando nos conteúdos
P
Péter
2.0
·Reviewed Aug 12, 2026
Contradicting definitions.
G
Gaurav
1.0
·Reviewed Jun 30, 2026
I completed the course Build AI Agents using MCP with a grade of 95.28% on June 30, 2026. The course appears under my Certificates page, but instead of "View certificate" it shows "Get your certificate early" with a lock icon. Other completed courses display their certificates correctly. Could you please check my certificate eligibility and issue the certificate?
