Mihai Cătălin Teodosiu

    Automate Network Tasks with Claude and MCP

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    Claude AI · Online Course

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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 Cătălin Teodosiu

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    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,…Show more

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    Program Overview

    Online Course

    Learning format

    Claude AI

    Subcategory

    $39.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Build a complete, 100% hands-on project to showcase to recruiters and managers.
    • Build the full automation project from the ground up alongside me until completion.
    • Learn how to use Claude Code, MCP, and Python to automate network device tasks.
    • Automate troubleshooting, reading, and writing configuration with AI and MCP.
    • Build a network topology from scratch using just Containerlab and YAML syntax.
    • Implement extra features for your MCP server: security, performance, and state.
    • Get an extra network topology for CCNP-level tasks, and a detailed lab manual.
    • Tech stack: Claude Code, MCP Server, Containerlab, Python, Scrapli, Ubuntu VM.

    Best For

    • Network engineers looking to transition from traditional CLI workflows to AI-assisted automation.
    • Developers interested in practical Model Context Protocol (MCP) implementations for infrastructure.
    • CCNP-level professionals wanting to integrate LLMs into their existing troubleshooting toolkits.
    • IT professionals eager to build hands-on, production-ready portfolio projects with Python and Containerlab.

    Not For

    • Complete beginners who have no prior experience with networking concepts or Python scripting.
    • Individuals looking for theoretical discussions on AI ethics rather than actionable infrastructure code.
    • System administrators who are strictly limited to vendor-specific GUI tools and no programmatic access.

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