Starweaver

AI for Non-Technical Professionals

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Starweaver

AI for Non-Technical Professionals

Starweaver
Paul Siegel

Instructors: Starweaver

Included with Coursera Plus

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
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 plain terms and identify the right AI tool for any professional task, without a technical background

  • Apply prompt engineering techniques in ChatGPT, Microsoft Copilot, Claude, and Google Gemini to produce reliable, role-appropriate output

  • Build 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 using practical AI tools for professionals

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Recently updated!

July 2026

Assessments

5 assignments

Taught in English

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There are 5 modules in this course

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

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

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

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

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

Instructors

Starweaver
Starweaver
571 Courses1,159,189 learners
Paul Siegel
Starweaver
4 Courses567 learners

Offered by

Starweaver

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