AI for Non-Technical Pros: ChatGPT, Copilot, Claude & Gemini

Build reusable AI workflows across marketing, finance, sales, ops, and HR with ChatGPT, Copilot, Claude, and Gemini.

Created byStarweaver Group, Paul Siegel

Last updated 10/2026

English

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What you'll learn

Explain how generative AI works in practical terms and identify the right tool for each task.
Apply prompt engineering basics and structured prompting techniques across ChatGPT, Copilot, Claude, and Gemini.
Design reusable AI workflows for writing, editing, and everyday business communication.
Produce marketing campaigns, social content, and pitch decks using Claude, ChatGPT, and Copilot.

Course content

16 sections • 66 lectures • 5h 24m total length

Course Welcome and Goals1:27
Develop a jargon-free mental model of how generative AI works, compare ChatGPT, Copilot, Claude, and Gemini, and learn to set up AI accounts and craft reliable prompts for consistent output.
Module Introduction1:40
Explore how generative AI works, why prompts differ, and how to choose the right tool—from ChatGPT, Copilot, Claude, to Gemini—for reliable outputs across three lessons.
What generative AI actually is6:16
Generative AI composes responses word by word rather than retrieving stored answers, so treat outputs as drafts to direct, edit, and constrain using tools like ChatGPT, Copilot, Claude, and Gemini.
How AI predicts the next word6:19
Explore how large language models predict the next token, one small token at a time, with no long-range plan, and how early prompts anchor and steer output across chat tools.
Why AI gets things wrong6:43
Identify three AI failure modes—hallucinations, knowledge cutoffs, and bias—learn a simple validation habit to verify outputs before use.

Choosing and setting up your AI tools5:23
Gives a four-question rule for matching a tool to a task by category across the four major tools, and walks through account creation and the two privacy settings every professional should change before their first prompt.
Your first prompt and the mistakes to avoid5:53
Demonstrates how to write a structured first prompt with four named parts (role, task, context, format) that produces work-ready output on a real task, then identifies the five most common beginner mistakes and the simple habits that prevent them.
McKinsey: Superagency in the Workplace0:13
Hands-on_Lab: Build your AI tool comparison sheet0:10
Choosing your AI tool and running your first workflow

Module Introduction1:53
Introduction to the module, key topics to be covered, and call to action.
The anatomy of a strong prompt5:59
Breaks a high-quality prompt into role, context, instruction, format, and constraints, with worked examples.
Few-shot prompting and examples5:26
Demonstrates how to teach AI by example so output matches a desired tone or structure on the first try.
Iteration: refining without starting over5:10
Shows how to push back on AI output, request specific changes, and converge on a polished result.

ChatGPT for writing and editing5:37
Walks through ChatGPT for drafting, editing, summarizing, and translating workplace documents.
Microsoft Copilot in Word and Outlook6:00
Demonstrates Copilot for first drafts, document rewriting, meeting summaries, and inbox triage.
Microsoft Copilot in Excel and PowerPoint6:21
Shows how Copilot handles spreadsheet analysis, formula generation, and slide drafting from prompts.
Claude for long-form writing and document analysis6:28
Demonstrates Claude for drafting long reports, analyzing entire uploaded documents in a single pass, and producing nuanced edits with consistent voice across many pages.

Google Gemini in Workspace7:26
Demonstrates Gemini inside Gmail, Docs, and Sheets for everyday writing, formatting, and analysis tasks.
NotebookLM for source-grounded notes7:06
Walks through uploading documents to NotebookLM and using it as a study and synthesis assistant tied to your own sources.
Perplexity for cited research7:04
Shows how Perplexity returns answers with linked sources and how to verify before using them in work products.
Coursera Job Skills Report 20260:13
Build a personal prompt library0:12
Google Gemini, NotebookLM, and Perplexity for research

Module Introduction1:57
Introduction to the module, key topics to be covered, and call to action.
Drafting professional emails and memos6:17
Walks through prompting AI to draft, soften, sharpen, and shorten everyday business writing.
Long-form content with consistent voice6:39
Demonstrates how to brief Claude and ChatGPT on tone of voice and produce blog posts, articles, and reports that read like the learner wrote them.
Editing and proofreading at speed6:38
Shows how to use AI for grammar, clarity, and structural editing without losing intent or nuance.

Audience research and personas6:02
Demonstrates how to use AI to map an audience, surface pain points, and write usable personas.
Building a campaign in one session7:35
Walks end to end through producing a campaign brief, ad copy variants, and a content calendar in a single working session.
Social media and short-form content7:03
Shows how to generate, repurpose, and adapt content for LinkedIn, Instagram, and other platforms with consistent positioning.
Visuals, charts, and pitch decks with AI7:01
Walks through using Claude artifacts to draft interactive charts and diagrams, ChatGPT and Gemini for image generation, and Microsoft Copilot in PowerPoint to assemble a complete pitch deck from a one-page brief.

Drafting customer responses and replies6:45
Demonstrates how to prompt AI for support replies that are accurate, on-brand, and empathetic.
Summarizing customer feedback at scale6:37
Shows how to feed surveys, reviews, and tickets into AI to identify themes, sentiment, and actions, including using Claude for long batches of verbatim feedback.
Account communications and follow-up7:11
Walks through prompting AI to draft renewal nudges, check-in emails, and structured follow-up sequences for existing accounts.

Why AI matters for frontend sales staff5:32
Frames the specific value AI brings to staff at the point of customer contact, including faster product knowledge, sharper recommendations, and lower pre-shift prep time.
Quick product research during a customer conversation6:18
Walks through using AI on a phone or tablet to look up product specs, comparisons, and frequently asked questions in seconds while the customer is still in front of you.
Personalized recommendations and matched add-ons6:06
Demonstrates how to prompt AI to generate tailored product picks and complementary upsell ideas based on the customer's stated needs, preferences, and budget.
Handling objections and rehearsing the close6:18
Shows how to prompt AI to prepare responses to common objections, role-play challenging customer scenarios with Claude or ChatGPT, and refine closing language before a shift or a key meeting.
Salesforce State of Sales Report0:15
The Three-Minute Customer
Hands-on-Lab : Build your frontend sales prompt kit0:11
AI for frontend sales staff

Module Introduction2:11
Introduction to the module, key topics to be covered, and call to action.
Standard operating procedures with AI7:06
Walks through producing readable, repeatable SOPs from rough notes or recorded meetings.
Project plans and status reports7:01
Demonstrates how to use AI to draft project plans, generate weekly status updates, and convert chaotic notes into a structured timeline.
Meeting prep, notes, and action items7:46
Shows how to prepare agendas, capture meeting notes, and turn discussions into clear action items using AI.

Requirements

Comfort with everyday office software such as email, word processors, and spreadsheets. No coding, data science, or technical background is required.

Description

This course includes the use of artificial intelligence.

Generative AI has rapidly evolved from a futuristic concept into an essential workplace skill used across industries. Today, professionals in marketing, finance, operations, sales, HR, and customer support are using tools like Excel, Google Sheets, ChatGPT, and Excel Copilot to analyze data, generate reports, and make faster, more informed decisions. This course is designed to help complete beginners and non-technical professionals understand how to use these tools together in a practical and efficient way.

In this course, you will learn how to transform raw data into meaningful insights using Excel and Google Sheets, even if you have no prior experience in data analysis. You will start with the fundamentals of spreadsheets, including data entry, formatting, sorting, and filtering. You will then move into essential formulas and functions that are widely used in real-world reporting tasks. The course also covers data cleaning techniques, which are critical for preparing accurate and reliable reports.

A major highlight of this course is learning how to use ChatGPT and Excel Copilot to speed up analysis, automate repetitive tasks, generate formulas, and create visualizations with simple natural language prompts. Instead of spending hours manually working on spreadsheets, you will learn how to leverage AI to do the heavy lifting for you.

By the end of this course, you will be able to confidently analyze data, create reports, build simple dashboards, and use AI tools to improve productivity. No coding or technical background is required—just a willingness to learn modern, in-demand skills that are transforming how work gets done.

Who this course is for:

Frontend sales staff, retail associates, and customer-facing professionals who want practical AI for sales staff skills.
Marketing, content, operations, finance, and human resources practitioners looking to apply AI to everyday tasks.
Managers, team leads, and project managers leading AI-augmented teams and driving responsible AI use.
Career changers, graduates, and beginners building AI literacy for the modern workplace.

AI for Non-Technical Pros: ChatGPT, Copilot, Claude & Gemini

What you'll learn

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Course content

Understanding generative AI in plain language5 lectures • 22min

Choosing your AI tool and running your first workflow4 lectures • 12min

Prompting fundamentals that work everywhere4 lectures • 18min

ChatGPT, Copilot, and Claude for everyday productivity4 lectures • 24min

Google Gemini, NotebookLM, and Perplexity for research5 lectures • 22min

AI for writing and content production4 lectures • 22min

AI for marketing, campaigns, and pitch decks4 lectures • 28min

AI for customer-facing and support roles3 lectures • 21min

AI for frontend sales staff7 lectures • 25min

AI for operations and project management4 lectures • 24min

Requirements

Description

Who this course is for: