Advanced 4 sessions (8 - 10 hours) 1:1 tutoring

AI for Developers Course: AI CLI, MCP, Local AI

Experienced coders wishing to integrate AI deep into their workspace, build custom MCP servers, and host local models offline.

Curriculum

1

Module 1: Terminal Agents & AI CLI

Mastering Claude Code, Aider, and GitHub Copilot Workspace directly inside the shell for automated code generation, refactoring, and test fixes.
2

Module 2: Model Context Protocol (MCP) setup

Deep integration with local systems. Writing custom MCP Servers in Node.js/Python to securely bridge LLMs with internal databases and filesystems.
3

Module 3: Self-hosted local AI

Setting up Ollama to run DeepSeek-R1, Llama-3, or Qwen models locally for offline code review, security assessments, and prompt fine-tuning.

Experienced coders wishing to integrate AI deep into their workspace, build custom MCP servers, and host local models offline.

A custom Model Context Protocol (MCP) server allowing an AI agent to securely query and inspect a local enterprise SQL database.

This course is part of the combo: Combo 2: Practical AI & automation engineer

How long is the AI for Developers Course: AI CLI, MCP, Local AI?

The course runs 4 sessions (8 - 10 hours), taught 1:1 with a mentor on a flexible schedule.

Who is this course for?

Experienced coders wishing to integrate AI deep into their workspace, build custom MCP servers, and host local models offline.

What will I have built by the end?

A custom Model Context Protocol (MCP) server allowing an AI agent to securely query and inspect a local enterprise SQL database.

How much does the course cost?

Tuition is quoted based on your personalised learning path. Contact us on Zalo or WhatsApp for advice and a detailed quote.

Message the mentor for a learning path that fits your level, goals and schedule. Tuition is quoted per personalised path.