Mastering Model Context Protocol (MCP)
With Jonathan Fernandes
Liked by 202 users
Duration: 1h 3m
Skill level: Advanced
Released: 8/13/2025
Course details
Model Context Protocol (MCP) is trending as a must-know protocol for working with LLMs and tools. MCP was introduced in November 2024, and since then, it’s become the standard of most large LLM players, including OpenAI and Google, as well as many other enterprises. An ideal fit for data scientists, AI engineers, and ML engineers, this course covers the essential challenges of tool integration with LLMs, customizing settings, verifying server operation, and implementing security best practices. Along the way, instructor Jonathan Fernandes outlines key considerations such as resource registration, server configuration, debugging interactions, and using Docker for containerization.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
-
Tharuka Akshan
Tharuka Akshan
AI Engineer @SoftlogicLife Digital Innovation Team | Python | SQL | Machine Learning | Deep Learning | NLP Models | LLM Models | Prompt Engineering…
-
-
Jose Gaspar
Jose Gaspar
POS Software Engineer | Full Stack Web Developer (University of Sydney) | AI & Systems Engineer in Progress | VMware | Cisco | PowerShell | CCNA |…
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone