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Start 4 June 2026 03:21

Einde 4 June 2026

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Generative AI in Action: Workplace Transformation

Explore how generative AI transforms business operations through hands-on projects, culminating in an AI-Driven Business Optimization Proposal covering data analysis, collaboration, resource planning, and risk mitigation.
Arizona State University via Coursera

Arizona State University

19 Cursussen


Arizona State University is a public research university in the US with 5 campuses spread across the Phoenix metropolitan area, offering more than 350 high-quality degree programs.

8 weeks, 1 hour a week

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Overzicht

Welcome to Generative AI in Action:

Workplace Transformation! This course will guide you through applying AI tools in real-world business settings.

By the end, you’ll understand how AI can drive optimization across business operations, whether in data analysis, marketing, customer feedback or communication. You’ll engage in hands-on activities using AI to analyze customer sentiment, data trends, marketing materials, and voice interactions.

You’ll complete project-based work that leads to a final AI-Driven Business Optimization Proposal, demonstrating your ability to strategically apply AI to improve a business. You will walk away with a final business proposal showcasing AI-driven business optimizations, with clear recommendations for implementation, the ability to integrate AI tools into business functions, and experience with practical AI skills applicable across industries.

Lesprogramma

  • Welcome to Generative AI in Action: Workplace Transformation
  • Welcome to Generative AI in Action: Workplace Transformation! This introductory module sets the stage for understanding how AI tools can be applied in real-world business settings. You will gain an overview of the course structure, learning objectives, and the final project: an AI-Driven Business Optimization Proposal. This module also covers important administrative details, including how AI is used in the course, the AI feedback pilot, guidelines for using AI tools, the project description, learner code of conduct, and a comprehensive glossary of terms. By the end of this module, you will be prepared to embark on your journey to strategically apply AI to improve business operations.
  • Foundations of Generative AI
  • In this foundational module, you will delve into the core concepts of generative AI, understanding its mechanisms and applications. We will also address crucial ethical considerations and best practices for integrating AI responsibly into professional environments. You will set up and begin interacting with ChatGPT, your AI thought partner for the course, laying the groundwork for developing an informed and ethical AI strategy for your workplace.
  • Analyzing Information with AI
  • In this module, you will explore the transformative potential of AI in analyzing diverse information types, including quantitative data, images, and text. You will engage in practical exercises to effectively prepare inputs for AI analysis and critically evaluate the outputs using the RACCCA framework. This module will equip you with the skills to integrate AI-driven analysis into your workflows, enabling more informed decision-making and contributing to your final AI-Driven Business Optimization Proposal.
  • Using AI to Enhance Collaboration
  • This module explores how AI can revolutionize communication and collaboration within the workplace. You will discover how AI-powered tools can streamline processes, from taking detailed meeting notes to organizing shared information, ensuring that critical insights are not lost. Through hands-on experimentation with AI-based collaboration tools, you will continue to develop your AI-Driven Business Optimization Proposal, integrating solutions that foster more effective information sharing and decision-making while also considering ethical and compliance implications.
  • Allocating Resources for AI in the Workplace
  • This module focuses on the strategic allocation of resources for successful AI implementation in the workplace. You will learn to identify and plan for the necessary people, tools, time, and budget required to support AI integration responsibly and sustainably. By the end of this module, you will finalize your AI tool choices and develop a comprehensive plan for budgeting, resource allocation, and implementation within your AI-Driven Business Optimization Proposal.
  • Assessing and Mitigating Risks
  • This module is dedicated to understanding and managing the inherent risks associated with integrating AI into the workplace. You will learn to identify potential business, operational, ethical, and legal risks, and assess their impact. The module will equip you with strategies to mitigate these risks proactively, including human oversight, data governance, and effective usage policies. By the end, you will develop a comprehensive risk assessment and mitigation plan for your AI-Driven Business Optimization Proposal, ensuring a responsible and sustainable approach to AI innovation.
  • Final Project: AI-Driven Business Optimization Solution Proposal
  • In this culminating module, you will synthesize all the knowledge and skills acquired throughout the course to finalize your AI-Driven Business Optimization Solution Proposal. You will refine each section, from articulating the business challenge and proposing a practical AI solution to detailing implementation plans, resource allocation, and robust risk mitigation strategies. This module is your opportunity to polish your proposal for stakeholders, demonstrating your ability to strategically apply AI for workplace transformation and prepare for its submission and feedback.
  • Course Conclusion
  • Congratulations on completing Generative AI in Action: Workplace Transformation! This module serves as a wrap-up, celebrating your journey through applying AI for analysis and collaboration, understanding implementation, and mitigating risks. You have developed critical awareness and practical strategies for leveraging AI in the workplace.

Gegeven door

Tyler Galarneau


Vakgebieden

Artificial Intelligence