LinkedIn – Mastering Model Context Protocol (MCP) 2025-8

Mastering Model Context Protocol (MCP) course. This course is designed to train professionals in working with large language models and tools. Introduced in November 2024, the protocol has quickly become a standard for many leading companies, including OpenAI and Google. This course is ideal for data scientists, AI engineers, and machine learning engineers looking to gain essential skills in this field. The course content covers the key challenges of integrating tools with language models, customizing settings, validating server performance, and implementing security best practices. Course instructor Jonathan Fernandez will teach participants important topics such as resource management, server configuration, troubleshooting interactions, and using Docker for containerization. This comprehensive course prepares learners to effectively deploy MCP in practical environments.

What you will learn

• A thorough understanding of the Model Context Protocol (MCP):
• What is MCP and why has it now become an important standard?
• How to work with LLMs and integrate tools with them.
• Using APIs and LLMs with MCP.
• The history and origin of this protocol.
• How to connect to MCP pre-built servers:
• Connecting to your first MCP server.
• Troubleshooting MCP-related issues.
• Find other MCP servers.
• Introduction to MCP architecture:
• Components of MCP.
• How this protocol works.

This course is suitable for people who:

• Data scientists and AI engineers looking to learn a new, standard protocol for working with LLMs.
• Machine learning (ML) engineers who want to improve their skills in integrating and deploying models using modern tools.
• People looking to understand the architecture and real-world applications of MCP, including how to configure servers and manage security.

Mastering Model Context Protocol (MCP) Course Specifications

• Publisher: LinkedIn
• Instructor: Jonathan Fernandes
• Training level: Advanced
• Training duration: 1 hour and 3 minutes

Course topics

Course images

Sample course video

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Download file – 97 MB

File(s) password: www.downloadly.ir

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97 MB