| File Name: | MCP Guide: Generative AI with Agents, Model Context Protocol |
| Content Source: | https://www.udemy.com/course/generative-ai-with-mcp-and-model-context-protocol-ai-agents |
| Genre / Category: | Other Tutorials |
| File Size : | 1.8 GB |
| Publisher: | Firstlink Consulting |
| Updated and Published: | September 14, 2025 |
Unlock the future of AI development with the most comprehensive course on Generative AI Agents and Model Context Protocol (MCP) available in 2025. This cutting-edge program combines artificial intelligence, cybersecurity, and modern development practices to make you an industry-ready AI specialist.
Why This Course is Essential: The AI industry is rapidly evolving with MCP becoming the new standard for AI communication protocols. Major tech companies are adopting MCP for secure, scalable AI agent interactions. This course positions you at the forefront of this technological revolution.
What Makes This Course Unique:
- Latest MCP Standards: Learn the newest Model Context Protocol implementations
- Real-World AI Agents: Build production-ready AI systems using Claude and Amazon Bedrock
- Security-First Approach: Integrate penetration testing methodologies with AI development
- Industry-Standard Tools: Master Docker, SSE transport, OAuth, and modern development workflows
- Hands-On Projects: Create travel agents, weather APIs, and multi-server architectures
Perfect for:
- Software developers transitioning to AI
- Cybersecurity professionals expanding into AI security
- Data scientists wanting practical AI implementation skills
- Tech entrepreneurs building AI-powered products
- Anyone serious about AI career advancement
Course Highlights: Master the complete AI development stack from basic concepts to advanced enterprise deployments. You’ll start with language model fundamentals and progress through MCP architecture, server components, and transport protocols. Learn to implement secure AI communications using SSE and streamable HTTP transport methods.
Build real-world applications including weather APIs, GitHub integrations, and Docker containerization. Develop AI agents using CrewAI and Amazon Bedrock, implementing both inline and console-based agents. Master cost analysis tools and multi-server architectures for enterprise-scale deployments.
The course emphasizes security throughout, teaching penetration testing techniques specific to AI systems. You’ll learn to identify vulnerabilities in AI agent communications and implement robust security measures using OAuth and advanced authentication protocols.
DOWNLOAD LINK: MCP Guide: Generative AI with Agents, Model Context Protocol
MCP_Guide_Generative_AI_with_Agents_Model_Context_Protocol.part1.rar – 1000.0 MB
MCP_Guide_Generative_AI_with_Agents_Model_Context_Protocol.part2.rar – 828.8 MB
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