In this short, intensive course, you’ll dive into the Model Context Protocol (MCP)—an open standard revolutionizing AI connectivity. Just as HTTP and REST reshaped the web, MCP is redefining how AI models communicate, enabling seamless, secure, and scalable integration with external systems.
You’ll explore MCP’s modular architecture—hosts, clients, and servers—and see how this design supports real-time, context-rich interactions for smarter AI responses. The course also addresses critical security challenges, including context injection, privilege escalation, and tool poisoning. You’ll gain actionable strategies like policy-bound execution, cryptographic integrity checks, zero trust enforcement, and risk-adaptive controls to mitigate these risks.
By the end, you’ll be equipped to explain MCP’s evolution, describe its architecture, and evaluate security implications—empowering you to build robust, future-ready AI solutions.
Unlock the next generation of AI integration with the Model Context Protocol (MCP)—the open standard transforming how AI systems interact with external tools, services, and data sources. This concise, skill-focused course empowers AI professionals to build secure, scalable, and context-aware AI applications using MCP. Learn how MCP’s modular architecture enables real-time, intelligent interactions, and discover best practices to safeguard your AI ecosystem against emerging security threats.
Das ist alles enthalten
9 Videos7 Lektüren3 Aufgaben1 Unbewertetes Labor
Infos zu Modulinhalt anzeigen
9 Videos•Insgesamt 37 Minuten
Introducing Model Context Protocol•3 Minuten
The Why & What of Model Context Protocol•5 Minuten
MCP Architecture•8 Minuten
Implementing MCP•3 Minuten
Setting up the Server•5 Minuten
Setting up the Client•5 Minuten
Configuring the environment•0 Minuten
Executing the code•3 Minuten
The Outlook•5 Minuten
7 Lektüren•Insgesamt 43 Minuten
Disclaimer•2 Minuten
The Requirements•1 Minute
MCP Security Considerations & Mitigation Strategies for the Enterprise•15 Minuten
Resources•10 Minuten
Tool for AI developers: blazing-fast, containerized MCPs- no Docker required.•10 Minuten
Acknowledgments•2 Minuten
Congratulations•3 Minuten
3 Aufgaben•Insgesamt 55 Minuten
Intro to MCP•15 Minuten
Fundamentals of MCP•15 Minuten
Model Context Protocol - The Final Check•25 Minuten
1 Unbewertetes Labor•Insgesamt 90 Minuten
Running the Code•90 Minuten
Dozent
Lehrkraftbewertungen
Lehrkraftbewertungen
Wir haben alle Lernenden um Feedback zu unseren Dozenten gebeten, ausgehend von der Qualität ihres Unterrichtsstils.
Continuous learning is imperative to stay relevant in the world of Data Analytics and AI. Fractal Analytics Academy is your learning partner for all your learning requirements.
We offer a variety of learning solutions; from instructor led trainings to blended learning and eLearning covering consulting and business skills, technical skills and life skills.
Warum entscheiden sich Menschen für Coursera für ihre Karriere?
Felipe M.
Lernender seit 2018
„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“
Jennifer J.
Lernender seit 2020
„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“
Larry W.
Lernender seit 2021
„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“
Chaitanya A.
„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“
Bewertungen von Lernenden
4.5
55 Bewertungen
5 stars
63,63 %
4 stars
30,90 %
3 stars
3,63 %
2 stars
0 %
1 star
1,81 %
Zeigt 3 von 55 an
P
PR
5·
Geprüft am 11. März 2026
This Course will give a clear understanding of what MCP is, how they are built, and Do and Dont
S
SS
5·
Geprüft am 27. Sep. 2025
Short, concise and to the point. I like the security consideration section which is kind of eye-opener and mostly ignored area while it is the most critical part.
This course introduces the Model Context Protocol (MCP), a groundbreaking standard for secure, scalable AI integration. It’s essential for professionals building next-gen AI systems that interact with external tools and data sources.
Who is this course for?
Designed for AI engineers, solution architects, and advanced practitioners with experience in generative AI or AI system integration.
: What will I be able to do after completing this course?
You’ll be able to explain MCP’s evolution, describe its architecture, identify security risks, and implement best practices for secure AI integration.
What is the learning experience of this course?
Engaging, hands-on, and scenario-driven, with interactive dialogues, self-assessments, and practical labs.
How is this course different from other courses?
It’s one of the few courses focused specifically on MCP, blending technical depth with real-world security and integration strategies.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.