AI for Non-Technical Professionals

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AI for Non-Technical Professionals

Instructors: Starweaver

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5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Explain how generative AI works in practical terms and identify the right tool for a given task.
Apply prompting techniques and workflows in ChatGPT, Microsoft Copilot, Claude, and Google Gemini to produce reliable, role-appropriate output.
Implement AI-assisted workflows for communication, marketing, customer service, and frontend sales roles, including pitch decks and visuals.
Implement AI-assisted workflows for operations, finance, and human resources roles.

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There are 5 modules in this course

Generative AI is rapidly becoming an essential workplace skill for professionals across marketing, sales, operations, finance, and human resources. This course helps non-technical professionals learn how to use ChatGPT, Microsoft Copilot, Claude, Gemini, NotebookLM, and Perplexity to improve productivity, decision-making, communication, and business workflows.

Designed for beginners with no coding experience, the course teaches practical AI skills, including prompt engineering, AI-assisted writing, research, data analysis, customer communication, sales support, and workflow automation. Through real-world examples and hands-on exercises, learners will discover how to select the right AI tool for specific business tasks, create reliable prompts, evaluate AI-generated outputs, and apply responsible AI practices. By the end of the course, learners will be able to confidently integrate generative AI into their daily work, streamline routine tasks, enhance productivity, and support smarter business decisions while maintaining data privacy, accuracy, and human oversight.

This module establishes a working mental model of generative AI without any coding. Learners will understand what large language models actually do, why they sometimes get things wrong, and how to choose the right AI tool for the right task. By the end of this module, learners will be able to talk about AI fluently with technical and non-technical colleagues alike.

What's included

6 videos2 readings1 assignment1 peer review1 discussion prompt

6 videosTotal 32 minutes

Module Introduction2 minutes
What Generative AI Actually is 6 minutes
How AI Predicts the Next Word 6 minutes
Why AI Gets Things Wrong 7 minutes
Choosing and Setting Up Your AI Tools 5 minutes
Your First Prompt and the Mistakes to Avoid 6 minutes

2 readingsTotal 10 minutes

Welcome to the Course: Course Overview5 minutes
McKinsey: Superagency in the Workplace 5 minutes

1 assignmentTotal 20 minutes

AI Foundations for Non-Technical Professionals20 minutes

1 peer reviewTotal 10 minutes

Hands-On-Learning: Build Your AI Tool Comparison Sheet10 minutes

1 discussion promptTotal 10 minutes

Evaluating the Reliability of Generative AI10 minutes

This module turns learners into capable everyday users of the four dominant AI assistants. The focus is on practical prompting, document and spreadsheet integration, long-form writing with Claude, and reusable templates that can be applied to any role. Hands-on practice runs through every video.

What's included

11 videos1 reading1 assignment1 peer review1 discussion prompt

11 videosTotal 65 minutes

Module Introduction2 minutes
The Anatomy of a Strong Prompt 6 minutes
Few-Shot Prompting and Examples 5 minutes
Iteration: Refining Without Starting Over 5 minutes
ChatGPT for Writing and Editing 6 minutes
Microsoft Copilot in Word and Outlook 6 minutes
Microsoft Copilot in Excel and PowerPoint 6 minutes
Claude for Long-Form Writing and Document Analysis 6 minutes
Google Gemini in Workspace 7 minutes
NotebookLM for Source-Grounded Notes 7 minutes
Perplexity for Cited Research 7 minutes

1 readingTotal 5 minutes

Coursera Job Skills Report 2026 5 minutes

1 assignmentTotal 20 minutes

Practical AI Tools: Mastering ChatGPT, Copilot, Claude, and Gemini20 minutes

1 peer reviewTotal 10 minutes

Hands-On-Learning: Build a Personal Prompt Library10 minutes

1 discussion promptTotal 10 minutes

Applying AI to Routine Work Tasks10 minutes

This module is the first of two role-specific deep dives. It focuses on professionals whose work centers on communication, content, customer experience, and direct selling. Learners will develop concrete, reusable AI workflows for writing, campaigns, visuals and pitch decks, customer support, and frontline sales conversations.

What's included

15 videos1 reading1 assignment1 peer review1 discussion prompt

15 videosTotal 94 minutes

Module Introduction 2 minutes
Drafting Professional Emails and Memos 7 minutes
Long-Form Content With Consistent Voice 7 minutes
Editing and Proofreading at Speed 7 minutes
Audience Research and Personas 6 minutes
Building a Campaign in One Session 8 minutes
Social Media and Short-Form Content 7 minutes
Visuals, Charts, and Pitch Decks with AI 7 minutes
Drafting Customer Responses and Replies 7 minutes
Summarizing Customer Feedback at Scale 7 minutes
Account Communications and Follow-Up 7 minutes
Why AI Matters for Frontend Sales Staff 6 minutes
Quick Product Research During a Customer Conversation 6 minutes
Personalized Recommendations and Matched Add-Ons 6 minutes
Handling Objections and Rehearsing the Close 6 minutes

1 readingTotal 5 minutes

Salesforce State of Sales Report 5 minutes

1 assignmentTotal 20 minutes

AI for Communication, Marketing, Customer, and Frontend Sales Roles20 minutes

1 peer reviewTotal 10 minutes

Hands-On-Learning: Build Your Frontend Sales Prompt Kit10 minutes

1 discussion promptTotal 10 minutes

Using AI to Strengthen Sales Conversations10 minutes

This module covers the back-office disciplines where AI generates the highest measurable productivity gains. Learners will use AI tools to automate reports, handle basic financial analysis, build talent pipelines, and design human resources workflows that scale without losing the human touch.

What's included

10 videos1 reading1 assignment1 peer review1 discussion prompt

10 videosTotal 66 minutes

Module Introduction 2 minutes
Standard Operating Procedures with AI 7 minutes
Project Plans and Status Reports 7 minutes
Meeting Prep, Notes, and Action Items 8 minutes
Working with Spreadsheets Using AI 7 minutes
Turning Numbers into Narrative 7 minutes
AI for Budgeting and Forecasting 6 minutes
Job Descriptions and Inclusive Language 7 minutes
Resume Screening Assistance 8 minutes
Onboarding, Learning, and 1:1 Prep 7 minutes

1 readingTotal 5 minutes

WEF Future of Jobs Report 2025 5 minutes

1 assignmentTotal 20 minutes

AI for Operations, Finance, and People Operations20 minutes

1 peer reviewTotal 10 minutes

Hands-On-Learning: Automate One Back-Office Workflow End to End 10 minutes

1 discussion promptTotal 10 minutes

Evaluating AI Opportunities and Limits in Business Functions10 minutes

This final module raises the perspective from individual user to team leader. Learners will understand the practical risks of AI in the workplace, how to use AI responsibly, and how to design adoption plans that work for real teams. The module ends with a forward-looking view on agentic AI and what is coming next.

What's included

10 videos1 reading1 assignment2 peer reviews1 discussion prompt

10 videosTotal 61 minutes

Module Introduction 2 minutes
Data Privacy and Confidential Information 7 minutes
Bias, Hallucinations, and Verification 7 minutes
Intellectual Property and AI-Generated Content 7 minutes
Building an AI Policy Your Team Will Follow 6 minutes
Running an AI Pilot Inside Your Team 7 minutes
Coaching Colleagues into AI Fluency 6 minutes
From Chatbots to AI Agents 7 minutes
AI in Your Industry Over the Next Two Years 7 minutes
Staying Current as the Tools Change 6 minutes

1 readingTotal 5 minutes

NIST AI Risk Management Framework 5 minutes

1 assignmentTotal 20 minutes

Leading AI Adoption: Risk, Ethics, and Strategy20 minutes

2 peer reviewsTotal 70 minutes

Hands-On-Learning: Draft a One-Page AI Adoption Plan 10 minutes
Project: Run a Cross-Functional AI Sprint: Launch Week for a Small Brand60 minutes

1 discussion promptTotal 10 minutes

Preparing for an AI-Driven Future of Work10 minutes

Instructors

Starweaver

571 Courses1,157,301 learners

Paul Siegel

Starweaver

4 Courses552 learners

Offered by

Starweaver

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