Mihai Cătălin Teodosiu

    Mihai Cătălin Teodosiu

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    Who Is Mihai Cătălin Teodosiu?

    Mihai Cătălin Teodosiu is a forward-thinking network engineer and automation specialist dedicated to bridging the gap between traditional networking practices and modern artificial intelligence. With a strong background in managing complex infrastructure, Mihai has transitioned his focus toward cutting-edge automation techniques, specifically utilizing large language models and advanced protocol frameworks to streamline operational workflows. His course on AllPros, "Automate Network Tasks with Claude and MCP," showcases his practical approach to integration, demonstrating how network professionals can leverage tools like Anthropic's Claude and the Model Context Protocol (MCP) to automate configuration, troubleshooting, and monitoring tasks. As an instructor, Mihai emphasizes hands-on,…

    Overview of Mihai Cătălin Teodosiu

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    Mihai Cătălin Teodosiu's Programs

    Automate Network Tasks with Claude and MCP bannerHighest rated

    Automate Network Tasks with Claude and MCP

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    The shift towards AI-driven infrastructure is accelerating, and "Automate Network Tasks with Claude and MCP" provides the definitive blueprint for modern network engineers looking to stay ahead. Led by expert instructor Mihai Cătălin Teodosiu, this comprehensive hands-on course bridges the gap between cutting-edge artificial intelligence and traditional network automation. You will explore how to integrate Claude Code and the Model Context Protocol (MCP) Server with essential network tools like Python, Scrapli, and Containerlab. Instead of just learning theory, you will build a production-grade automation project from scratch, enabling AI to safely read configurations, execute troubleshooting commands, and modify state on virtualized network topologies. Ideal for both aspiring automation engineers and seasoned CCNP-level professionals, the curriculum covers everything from YAML-based Containerlab setup on an Ubuntu VM to implementing robust security controls on your MCP server. By the end of this course, you will have a fully functioning AI-powered network assistant and a portfolio-ready project that demonstrates your ability to leverage next-generation LLM tooling for real-world network operations.

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    Mihai has years of practical experience in network engineering, transitioning from manual CLI administration to automated infrastructure deployment. He specializes in integrating Python, APIs, and modern AI platforms to optimize network operations and build secure, scalable workflows.