AI for Managers

About Course

What to automate, what to buy, what to build, and how to judge the results. Built from real deployments inside a business: reporting, quality checks, document work and customer handling. No coding required.

About 8 hours.

Course Content

Module 1: What AI can and cannot do for a business

Models, prompts, agents and tools in plain language
Where AI reliably saves time and where it fails
Cost basics: tokens, calls and what a task actually costs

About Course

Course Content

Module 1: What AI can and cannot do for a business

Models, prompts, agents and tools in plain language

Where AI reliably saves time and where it fails

Cost basics: tokens, calls and what a task actually costs

Module 2: Finding the work worth automating

The repetitive-work inventory

Scoring tasks by volume, risk and rework

Worked example: field reports and quality checks

Module 3: Working with AI day to day

Writing instructions that get consistent output

Documents, spreadsheets and email with AI assistance

Checking AI output before it leaves your desk

Module 4: Buy, configure or build

Off-the-shelf tools versus custom automation

A one-page evaluation template for vendors

When a small internal build is the right answer

Module 5: Data, privacy and governance

What data you may and may not send to a model

Policies your team actually follows

Audit trails and accountability

Module 6: Running an AI pilot

Scoping a four-week pilot

Measuring hours saved and error rates

Deciding to scale, change or stop

Module 7: Leading a team through AI adoption

Roles that change and roles that do not

Training, resistance and incentives

Communicating results upward

Module 8: Your 90-day AI plan

Building the plan from the inventory

Presenting it to leadership

Course project and certificate