Prompt Engineering & Model Context Protocol
Learn prompt engineering, structured AI outputs, MCP architecture and local AI tool integrations through a practical two-day workshop.
This workshop introduces prompt engineering, structured AI outputs and Model Context Protocol concepts, including connecting AI systems to local files and databases.
Who Is This Course For?
AI Productivity Specialist
2x-3x Daily Work Output
Live code reviews, debugging guidance, and small learning cohorts.
How Does Mentorship Work?
Build and ship working software instead of passive video recordings.
Senior engineers inspect your Pull Requests and teach clean architectural habits.
Resume optimization, mock technical interview grilling, and direct hiring referrals.
How Does the Curriculum Work?
Structured progressive modules designed to build compounding engineering mastery.
Saturday: Prompt Techniques & Structured Output
Few-shot prompts, chain-of-thought, system role instructions, and structured JSON schema output.
Few-shot prompts, chain-of-thought, system role instructions, and structured JSON schema output.
Sunday: Model Context Protocol (MCP) Servers
Understanding MCP architecture, configuring local MCP servers, and connecting to databases.
Understanding MCP architecture, configuring local MCP servers, and connecting to databases.
What Projects Will You Build?
Real applications with production architectures to showcase on your GitHub profile and resume.
Local MCP Server Integration
Fully functioning MCP server letting Claude Desktop safely query local files and SQL databases.
Frequently Asked Questions
What is the primary benefit of MCP?
MCP allows your AI desktop client to safely inspect private databases, file directories, and external APIs instead of manually copying and pasting context.
Ready to master Prompt Engineering & Model Context Protocol?
Speak directly with our technical admissions mentor to discuss batch timings, prerequisites, fee plans, and career placement options.