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AI for Non-Technical Professionals

Zum Labor Day gibt es bei Coursera Plus Rabatte von über 70 $. Sparen Sie 3 Monate lang 40 %.

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

AI for Non-Technical Professionals

Dozenten: Starweaver

Bei Mehr erfahren enthalten

Fragen Sie Coursera

5 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

5 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

Kategorie: Business Leadership
Kategorie: Responsible AI
Kategorie: AI Enablement
Kategorie: Data Management
Kategorie: Professional Development
Kategorie: AI Personalization
Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
Kategorie: Microsoft Copilot
Kategorie: Business Analysis
Kategorie: AI Product Strategy
Kategorie: AI literacy
Kategorie: AI Integrations
Kategorie: AI powered creativity

Werkzeuge, die Sie lernen werden

Kategorie: ChatGPT
Kategorie: Generative AI
Kategorie: Anthropic Claude
Kategorie: Gemini
Kategorie: GitHub Copilot
Kategorie: AI Workflows
Kategorie: Google Gemini

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

Juni 2026

Bewertungen

5 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 5 Module

Generative AI is rapidly becoming an essential workplace skill for professionals across marketing, sales, operations, finance, and human resources. This AI for non-technical professionals course helps you 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, this AI course for non-technical professionals teaches practical AI tools and 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 this AI course for non-technical background learners will be able to confidently integrate generative AI into your daily work, streamline routine tasks, enhance productivity, and support smarter business decisions while maintaining data privacy, accuracy, and human oversight, making this one of the most practical AI courses available for professionals who want to learn AI without coding.

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.

Das ist alles enthalten

7 Videos2 Lektüren1 Aufgabe1 peer review1 Diskussionsthema

7 VideosInsgesamt 34 Minuten

Introduction to the Course1 Minute
Module Introduction2 Minuten
What Generative AI Actually is 6 Minuten
How AI Predicts the Next Word 6 Minuten
Why AI Gets Things Wrong 7 Minuten
Choosing and Setting Up Your AI Tools 5 Minuten
Your First Prompt and the Mistakes to Avoid 6 Minuten

2 LektürenInsgesamt 10 Minuten

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

1 AufgabeInsgesamt 20 Minuten

AI Foundations for Non-Technical Professionals20 Minuten

1 peer reviewInsgesamt 10 Minuten

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

1 DiskussionsthemaInsgesamt 10 Minuten

Evaluating the Reliability of Generative AI10 Minuten

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.

Das ist alles enthalten

11 Videos1 Lektüre1 Aufgabe1 peer review1 Diskussionsthema

11 VideosInsgesamt 65 Minuten

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

1 LektüreInsgesamt 5 Minuten

Coursera Job Skills Report 2026 5 Minuten

1 AufgabeInsgesamt 20 Minuten

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

1 peer reviewInsgesamt 10 Minuten

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

1 DiskussionsthemaInsgesamt 10 Minuten

Applying AI to Routine Work Tasks10 Minuten

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.

Das ist alles enthalten

15 Videos1 Lektüre1 Aufgabe1 peer review1 Diskussionsthema

15 VideosInsgesamt 94 Minuten

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

1 LektüreInsgesamt 5 Minuten

Salesforce State of Sales Report 5 Minuten

1 AufgabeInsgesamt 20 Minuten

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

1 peer reviewInsgesamt 10 Minuten

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

1 DiskussionsthemaInsgesamt 10 Minuten

Using AI to Strengthen Sales Conversations10 Minuten

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.

Das ist alles enthalten

10 Videos1 Lektüre1 Aufgabe1 peer review1 Diskussionsthema

10 VideosInsgesamt 66 Minuten

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

1 LektüreInsgesamt 5 Minuten

WEF Future of Jobs Report 2025 5 Minuten

1 AufgabeInsgesamt 20 Minuten

AI for Operations, Finance, and People Operations20 Minuten

1 peer reviewInsgesamt 10 Minuten

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

1 DiskussionsthemaInsgesamt 10 Minuten

Evaluating AI Opportunities and Limits in Business Functions10 Minuten

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.

Das ist alles enthalten

11 Videos1 Lektüre1 Aufgabe2 peer reviews1 Diskussionsthema

11 VideosInsgesamt 63 Minuten

Module Introduction 2 Minuten
Data Privacy and Confidential Information 7 Minuten
Bias, Hallucinations, and Verification 7 Minuten
Intellectual Property and AI-Generated Content 7 Minuten
Building an AI Policy Your Team Will Follow 6 Minuten
Running an AI Pilot Inside Your Team 7 Minuten
Coaching Colleagues into AI Fluency 6 Minuten
From Chatbots to AI Agents 7 Minuten
AI in Your Industry Over the Next Two Years 7 Minuten
Staying Current as the Tools Change 6 Minuten
Course Wrap-Up1 Minute

1 LektüreInsgesamt 5 Minuten

NIST AI Risk Management Framework 5 Minuten

1 AufgabeInsgesamt 20 Minuten

Leading AI Adoption: Risk, Ethics, and Strategy20 Minuten

2 peer reviewsInsgesamt 70 Minuten

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

1 DiskussionsthemaInsgesamt 10 Minuten

Preparing for an AI-Driven Future of Work10 Minuten

Dozenten

Starweaver

STARWEAVER

599 Kurse1.228.569 Lernende

Paul Siegel

STARWEAVER

6 Kurse1.532 Lernende

von

STARWEAVER

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Lernender seit 2018

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Lernender seit 2021

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Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

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Häufig gestellte Fragen

Absolutely. This course is built specifically for that, requiring nothing more than comfort with everyday office software like email and spreadsheets. No coding, data science, or prior AI experience is needed. Generative AI tools like ChatGPT, Claude, Copilot, and Gemini are designed to work in plain English, which means the skill this course teaches is how to ask the right questions, not how to write code.

No, and this is one of the most important misconceptions this course addresses. AI for non-technical professionals is not about building models or writing algorithms. It's about knowing which AI tool to use for which task, how to prompt it effectively, and how to verify the output before using it, skills this course covers across five role-based modules for marketing, sales, operations, finance, and HR.

The fastest path is role-based, hands-on practice rather than theory. This course teaches practical AI for professionals by walking through real workplace tasks, drafting emails, summarizing documents, building campaign briefs, analyzing spreadsheets, screening resumes, and handling customer communications, using ChatGPT, Copilot, Claude, and Gemini in every module. By the end, you'll have a personal prompt library and a reusable workflow for your specific role.

The four main tools this course covers are ChatGPT (general-purpose writing, analysis, and brainstorming), Microsoft Copilot (integrated into Word, Excel, Outlook, and PowerPoint), Claude (long-form writing, document analysis, and structured reasoning), and Google Gemini (research, image generation, and Google Workspace integration). The course also covers NotebookLM for source-grounded research and Perplexity for cited search, giving you a complete toolkit without a single line of code.

There's no single winner, each excels at different tasks. ChatGPT is the most versatile general-purpose tool. Microsoft Copilot is the strongest choice if you live in Word, Excel, or Outlook. Claude handles long documents and nuanced writing better than the others. Google Gemini is the natural fit for Gmail, Docs, and Sheets users. This course teaches you a four-question decision rule for matching the right tool to any task, so you're never guessing.

Claude is particularly strong at analyzing long documents in a single pass, maintaining consistent voice across multi-page writing, and producing structured reasoning outputs, capabilities that make it the preferred tool in this course for contract review, board commentary, and detailed report drafting. Gemini is stronger on real-time research, image generation, and deep Google Workspace integration. Both are covered in this course, with clear guidance on when to reach for each.

More relevant than ever. Roughly three-quarters of knowledge workers already use AI tools in some form, and most employers now expect basic AI fluency across roles, not just in technical teams. This AI course for non-technical professionals is designed for exactly that expectation: it teaches the prompting, validation, and workflow skills that make you a more effective professional today.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.