AI for Absolute Beginners: ChatGPT, Claude & Copilot

This course contains the use of artificial intelligence.

Use ChatGPT, Claude and Copilot with a clear beginner system for email, meeting notes, documents, spreadsheets, presentations and repetitive office work. No programming experience is required.

Most beginner courses show what AI can do. This course focuses on how to get useful work without trusting every polished answer: give relevant context, protect private information and original files, request a checkable output, verify important claims and keep human approval for actions that matter.

In about 1 hour and 24 minutes, you will learn a repeatable workflow you can use across modern AI assistants. You will see the method explained in plain language, watch it applied to realistic sample files and practise it with supplied templates and exercises.

Build a Repeatable AI Workflow You Can Check

• Write clearer prompts with Goal, Context, Materials, Constraints, Output and Check

• Recognize hallucinations and verify facts with Source, Date, Calculate and Test

• Decide when a normal chat is enough and when an AI agent can handle a contained task

• Give an agent copied files, narrow permissions, pause points and a clear approval boundary

• Use AI with documents, spreadsheets and presentations without overwriting the originals

• Turn repeated work into a checklist, reusable AI recipe or visible automatic check

• Ask AI to create a small Python helper, preview its behavior and verify the output

• Complete a guided workflow from source files to a checked decision email

Watch the Full Process, Not Just the Final Answer

Four captured Copilot walkthroughs reconstruct the exact prompts, file reads, approval steps, tool actions, outputs and independent checks used in the examples. The supplied data is fictional, so you can follow the process without exposing private information.

You will see how to:

• Turn meeting notes into a concise decision email while leaving missing facts visibly missing

• Inspect copied receipts, approve only the intended files, create a CSV and verify its rows and totals

• Read a project update and spreadsheet, calculate the numbers and build a three-slide outline backed by the source

• Run a small Python helper on copied sample data, create a separate output file and check the result

The walkthroughs turn captured prompts and tool events into readable teaching frames. They show what the tool opened, what it planned, what required approval, what changed and how the result was checked.

Practise With Templates, Sample Files and a Connected Capstone

Every core lesson ends with a small action you can complete using your own work or the supplied fictional material. The course includes 14 downloadable resources, including:

• Seven concise, color-coded field guides

• Copy-and-paste prompt templates

• A walkthrough practice pack with the source files used in the demonstrations

• A capstone practice pack with clear inputs and an expected result

• Safe Python examples that keep source files unchanged

• Three section quizzes with 28 application questions

• English closed captions for every video

The guided capstone connects the course into one practical workflow. You will organize source material safely, clean sample expense data, verify a category total and turn the checked result into a short decision email. The goal is not to finish with another list of prompt tips. It is to leave with a workflow you can repeat.

Made for Complete Beginners and Everyday Work

This course is designed for:

• Office professionals who write emails, reports, meeting notes, spreadsheets or presentations

• Managers and operators who need reliable AI output while keeping final decisions with a person

• Freelancers and small-business owners who repeat administrative work every week

• Complete beginners who want plain-language AI skills without learning to code

• Teams that need practical privacy, verification and approval habits before using more automation

You do not need a paid AI plan or a technical background to understand the course. A modern AI assistant is helpful when you want to repeat the exercises. The optional Python section starts from a plain-language request and explains the safety checks; it does not expect you to write code from memory.

Use AI Without Giving Up Judgment

AI can produce fluent wording even when a fact is wrong, a source is missing or a number was never calculated. That is why verification is part of every workflow in this course rather than a warning added at the end.

You will learn to protect original files, use copies for early experiments, mark unknowns honestly and pause before sending, deleting, paying or publishing. These habits are useful whether you work in ChatGPT, Claude, Copilot or another modern assistant.

This is a focused starter course, not a tool encyclopedia. It does not promise income, guaranteed time savings or perfect AI answers. Product interfaces will change. The methods for giving context, checking evidence and keeping human approval remain useful when the tools change.

Follow a Clear Beginner Path

The course is organized so each section solves one practical problem:

1. Start with a plain-language mental model for generative AI, context windows and common terminology. Learn why confident wording is not the same as a reliable answer.

2. Use the prompt blueprint to turn rough instructions into a clear brief. Then compare ordinary chat with an AI agent and define a contained task with visible approval points.

3. Apply the same method to documents, spreadsheets and presentations. Learn how to inspect source material, plan the transformation, validate facts and numbers, and export a separate result.

4. Turn a successful workflow into a reusable recipe. Add automated checks only when they remain visible, narrow and easy to stop.

5. Ask AI for a small Python helper in plain language. Review what it will read, what it will create and how you will test it before relying on the result.

6. Finish with the capstone and section quizzes so you can connect the individual habits into one checked workflow.

You can watch the course in order as a complete introduction or return to the field guide and walkthrough for the task you are doing at work.

Corey Cascio is a software developer with more than 10 years of experience in AI and software development. His teaching approach uses plain language, concrete examples and visible checks so nontechnical learners can understand not only what worked, but why it is safe to use.

If you want practical AI productivity skills without hype, coding prerequisites or blind trust, this course gives you a complete starting workflow.