Udemy
Master AI Agent Development: LangChain, OpenAI, Ollama, MCP
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
You will set up a personal AI agent that runs 24/7 on an affordable server you fully control. One you can text from your phone and watch work in your browser. Over 30 hands-on lessons you'll go from an empty Linux box to a hardened, always-on agent powered by Hermes, meeting it two ways: message it on Telegram like a friend, and open a private web dashboard to watch its sessions, memory, and tools. By the end it runs on its own — gathering a briefing every morning and texting it to you before you're even up.
What you'll learn:
Deploy a personal AI agent that runs 24/7 on your own low-cost VPSHarden a Linux server with a non-root user, key-only SSH, a firewall, fail2ban, and automatic security updates
Install and configure Hermes, connect an LLM provider, and run multiple agent profiles
Operate your agent from the CLI and TUI — sessions, tools and toolsets, memory, and context files
Install ready-made skills and write your own to extend what your agent can doConnect external tools with the Model Context Protocol (MCP) — wire up GitHub and manage issues from Telegram
Connect a Telegram bot through the gateway so you can message your agent from your phone, anywhere
Monitor your agent in the Hermes web dashboard over a secure SSH tunnel
Automate recurring tasks with cron in plain English, and chain jobs into multi-stage pipelines
Give your agent a personality and persistent memory that carries across sessions
Complete a capstone: a daily briefing your agent generates on its own and texts to you Requirements: basic command-line comfort, a low-cost VPS (~$6/month), an LLM provider key (OpenAI, Anthropic, or an open source option), and a Telegram account. No prior agent experience needed.
Stop renting your AI. Build one that's always on, answers from your pocket, and lives on
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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