AI Coding Agents for Business Professionals

What you'll learn

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Master the 3 C's of prompt engineering - Context, Constraints, Clarity - to get reliable results from any AI model
Understand tokens, context windows, and model choice well enough to control both quality and cost
Use GitHub Copilot's Ask, Agent, and Planning modes for real business tasks, not just writing code
Understand what an MCP server is and how it lets an agent see and use your actual files, sheets, and systems
Connect an AI agent to your own data and tools using MCP, safely and with the right permissions
Run Claude Code at the terminal as a personal automation agent for repeatable multi-step work
Design, brief, and test your own custom AI agent for a task you do every single week
Automate multi-step workflows in n8n, connecting triggers, AI steps, and delivered outputs
Build three real capstone projects: an automated report, an AI-assisted audit, and an operations pipeline
Make automations reliable enough to trust unattended - validation, human checkpoints, retries, and logging
Chain several tools together in one workflow without loops, duplication, or runaway cost
Work with privacy-first offline models when your data cannot leave your machine
Estimate what agent automation truly costs per month and prove its ROI to a budget holder
Roll an automation out to your team, and speak confidently about AI-agent tooling in an interview
Requirements

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No coding background required - we start from fundamentals and explain every tool step by step
A computer with internet access (Windows, Mac, or Linux) and time to follow along hands-on
Free accounts for the tools used (Claude, GitHub Copilot free tier, n8n free tier) - sign-up is covered in the lectures
One real, repeatable task from your own job that you would like to automate - you will build on it throughout
Willingness to work at a terminal for part of the course - every command is explained, nothing is assumed
Description

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This course contains the use of artificial intelligence.
AI is used to reframe the words, fixing spelling mistakes and grammatical mistakes and audio conversion.
Most AI-agent courses go one of two ways: breathless hype about autonomous digital workers, or deep developer tutorials that assume you already code. This course is neither. I have spent nineteen years on warehouse floors, in automation projects, and as a business analyst across dozens of industries - and over the last year, the tools I reach for every day have changed completely. Not abstract multi-agent frameworks. The practical, hands-on toolkit that is quietly becoming a real job skill: prompting well, using GitHub Copilot's agent and planning modes for far more than code, connecting an AI agent to your real files and systems with MCP (Model Context Protocol), running Claude Code at the terminal as a personal automation agent, and chaining it all together with no-code tools like n8n.
This is a complete, twenty-hour course that teaches that exact toolkit in the order you would actually learn it on the job. We start with prompt engineering fundamentals and how tokens and context windows really work, because every tool after that depends on getting this right. Then we go deep and hands-on: GitHub Copilot beyond code, MCP servers connecting agents to your own data, Claude Code running real multi-step tasks at the terminal, designing your own custom agents, and n8n wiring everything into automated pipelines. Along the way you will build three full capstone projects - an automated operations report, an AI-assisted quality audit, and a multi-tool reporting pipeline - the same kind of work a report, an audit, or a weekly update already asks of you, just done in a fraction of the time. Then we cover the things most courses skip entirely: making automations reliable enough to trust unattended, chaining several tools together without runaway cost, working with offline models when your data cannot leave your machine, what this actually costs per month, and how to roll it out to a team.
No coding background is required. No computer science degree, no framework to architect. Just the practical skills to make AI agents do real, repeatable work for you - starting this week.
Who this course is for

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Business analysts, operations professionals, and team leads who want hands-on AI-agent skills, not just theory
Supply chain, warehouse, quality, and compliance professionals looking to automate reports, audits, and SOPs
Project managers and coordinators who want AI agents handling status updates, summaries, and recurring tasks
Anyone curious about GitHub Copilot's agent mode, MCP servers, Claude Code, and n8n, and how they fit together
Professionals who need automations reliable and governed enough to use at work, not just impressive demos
Not for experienced software developers seeking an advanced coding-agent architecture course - this is a practical, beginner-friendly toolkit course
Homepage

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