Description
MCP Guide: Generative AI with Agents, Model Context Protocol. This course is an advanced and comprehensive training program that combines AI, cybersecurity, and modern development methodologies to prepare professionals for the industry. Focused on the emerging MCP standard as the primary communication protocol for secure and scalable AI agent interactions, this course enables participants to build production-ready AI agents using tools such as Claude and Amazon Bedrock. With a security-centric approach and the integration of penetration testing into the development lifecycle, this course provides a thorough understanding of the entire AI technology stack from basic concepts to advanced enterprise deployment. Training topics start with the basics of language models and explore MCP architecture, server components, and transport protocols. Participants gain hands-on experience with industry-standard tools including Docker, SSE transport, OAuth, and development workflows, and implement projects such as travel agents, weather APIs, and multi-server architectures. A major part of the course is dedicated to security and includes training in penetration testing techniques specific to AI systems, identifying vulnerabilities in agent communication pipelines, and implementing strong protection measures using OAuth and advanced authentication protocols.
What you will learn
- Master the Model Context Protocol (MCP): Understand the MCP architecture, server components, transport types, and flow diagrams for AI enterprise communications.
- Build production-ready AI agents: Create intelligent agents using Claude, CrewAI, and Amazon Bedrock with real-world applications like travel planning.
- Implementing secure AI systems: Applying penetration testing methods, OAuth authentication, and security best practices specifically for AI agent architectures.
- Using containerization and transport protocols: Learn about Docker containerization, SSE transport, broadcastable HTTP protocols, and multi-server architectures for enterprise deployments.
- Integrate AI with modern development workflows: Connect AI agents with GitHub, implement CI/CD pipelines, and manage cost-effective AI cloud services.
This course is suitable for people who:
- Software developers: People who want to specialize in AI agent development and MCP implementations.
- Cybersecurity professionals: Those seeking to understand AI security testing and penetration testing methods.
- Technology entrepreneurs: People who build AI-based products that require comprehensive technical knowledge.
- Full-stack developers: Those looking to expand their knowledge in integrating AI and implementing modern protocols.
- Career changers: Those who are seriously looking to enter the in-demand field of artificial intelligence engineering.
Course Description MCP Guide: Generative AI with Agents Model Context Protocol
- Publisher: Udemy
- Instructor: Firstlink Consulting
- Training level: Beginner to advanced
- Training duration: 4 hours and 29 minutes
- Number of lessons: 58
Course topics
Prerequisites for the MCP Guide: Generative AI with Agents Model Context Protocol course
- Basic programming knowledge (any language)
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
1.7 GB
