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AI for Work: Generative AI, Prompting & Productivity

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Master prompting, writing, research, data analysis, AI visuals, automation, and responsible AI—no coding required.
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Created by Arjun Vaid
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What you'll learn

  • Use generative AI effectively for common workplace tasks such as writing, research, analysis, presentations, and planning.
  • Write clear, structured prompts using goals, context, constraints, examples, and output requirements.
  • Use AI to draft, improve, summarize, and review professional emails, reports, proposals, briefs, and other business content.
  • Research topics with AI while verifying claims, sources, evidence, and uncertainty before using the results.
  • Analyze spreadsheets and business data using natural-language questions to identify trends, comparisons, segments, and outliers.
  • Create stronger AI-generated visuals, image prompts, presentation content, speaker notes, and workplace graphics.
  • Build repeatable AI-assisted workflows and design role-specific AI assistants for everyday work.
  • Apply responsible AI practices for privacy, confidential information, bias, copyright, misinformation, governance, and human approval.
  • Evaluate AI opportunities based on business value, feasibility, risk, adoption, and measurable outcomes.
This course includes:
6 total hours on-demand video
10 articles
10 downloadable resources
78 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • No prior experience with generative AI is required.
  • No programming or coding knowledge is required.
  • Basic computer and internet skills are sufficient.
  • Access to a generative AI tool such as ChatGPT or a similar AI assistant is recommended for hands-on practice.
  • A willingness to experiment with AI and apply the techniques to real workplace tasks.

Description

Learn how to use Generative AI confidently and effectively in real workplace situations—without needing to code.

Generative AI for Beginners: Practical AI Skills for Work is a hands-on course designed for professionals, students, business users, creators, and anyone who wants practical AI skills they can apply immediately.

Instead of focusing on AI theory alone, you’ll learn how to turn generative AI tools into useful partners for writing, research, analysis, presentations, visuals, planning, decision-making, and everyday work.

Throughout the course, you’ll learn how generative AI works, where it performs well, and where human judgment is still essential. You’ll learn to write effective prompts using clear goals, context, constraints, examples, and output requirements. You’ll use AI to create and improve workplace content, research and verify information, analyze business data with natural language, identify trends and insights, create charts and visuals, build AI-assisted workflows, and design role-specific AI assistants.

You’ll also learn how to evaluate automation opportunities, protect personal and confidential information, recognize bias and misinformation, handle copyright and attribution concerns, apply responsible AI practices, add verification and human-approval controls, and measure whether an AI use case is actually delivering useful business results.

The course includes hands-on exercises, practical workplace scenarios, quizzes, role plays, and a capstone project that brings the skills together in a realistic end-to-end AI workflow.

By the end of the course, you won’t just understand what generative AI is—you’ll know how to use it responsibly, safely, and productively to improve the way you work.

No programming experience, technical background, or prior AI knowledge is required.

Who this course is for:

  • Professionals who want to use generative AI to work faster and more effectively.
  • Beginners who want a practical introduction to AI without learning to code.
  • Managers, team leads, and business users exploring how AI can improve everyday workflows.
  • Students and career changers who want practical generative AI skills for the modern workplace.
  • Writers, analysts, marketers, project managers, consultants, and other knowledge workers who regularly create, research, analyze, or present information.
  • Anyone who wants to use AI responsibly while understanding its limitations, risks, and the importance of human judgment.
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