Description
Master Generative AI: MCP Developer Bootcamp is a course on how to build, integrate, and scale intelligent applications using the Model Context Protocol (MCP) published by Udemy Online Academy. This is an intensive, hands-on course designed to teach developers how to build, integrate, and scale intelligent applications using the Model Context Protocol (MCP). The course bridges the gap between AI model capabilities and real-world application development, providing practical knowledge to effectively harness generative AI tools in production environments. This course aims to be the most comprehensive course in the field, taking you from a complete beginner to an advanced expert, teaching you all the skills you need to build secure and scalable AI-based applications that can interact with real-world systems.
This course covers MCP architecture principles, API integration, and agent communication workflows, guiding individuals in building intelligent systems that effectively interact with LLMs. Individuals will learn rapid engineering, model tuning, and developing custom tools for AI-based applications. The course will connect MCP with frameworks such as LangChain, OpenAI, and Claude for advanced reasoning and contextual automation. Individuals will also explore building developer tools, creating adaptive AI agents, and deploying scalable systems that seamlessly integrate with cloud and edge environments. By the end, individuals will gain the practical skills necessary to become MCP-certified developers capable of building next-generation AI-based applications.
What you will learn in Master Generative AI: MCP Developer Bootcamp:
- Learn the basic capabilities of MCP servers: tools (interacting with your data), resources (enhancing the LLM context with your data), notifications (chat templates)
- Build your first local MCP server (StdIO) in Python, start it and access it from Claude Desktop.
- Learn how to use MCP Inspector to test your MCP servers.
- Build your first MCP client and access your local MCP server, connect your client to OpenAI GPT models.
- Build a local MCP server (StdIO) to test tool chaining, sending the result of one tool to another.
- Build a remote MCP server (HTTP broadcastable) in Python, access it from Claude Desktop and MCP Inspector.
- Build a remote MCP server (HTTP broadcastable) in Python that is a front-end to a ReST API server.
- Secure your remote MCP server with API keys.
- And…
Course specifications
Publisher: Udemy
Instructors: Martin Bergljung
Language: English
Level: Introductory to Advanced
Number of Lessons: 83
Duration: 11 hours and 3 minutes
Course topics
Master Generative AI: MCP Developer Bootcamp Prerequisites
Basic programming knowledge – Python or JavaScript helpful but not required.
Docker knowledge is useful
Pictures
Master Generative AI: MCP Developer Bootcamp introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
4.1 GB
