Overview What You Will Learn Curriculum Instructor

Course Overview

Embark on a transformative journey with the "Crafting a Workplace Policy for Generative AI Masterclass." This comprehensive course is meticulously designed for professionals aiming to adeptly navigate the integration of Generative AI into their organizational strategies. Unlike traditional courses, this masterclass emphasizes hands-on engagement, ensuring not only the acquisition of essential knowledge but also its practical application. This will be done through having you put into practice what you've learned in an assignment that comes at the end of each section. 

This course guides you through the nuances of Generative AI, beginning with its foundational concepts and progressively delving into more complex aspects such as legal and ethical considerations, organizational needs assessment, risk management, policy development, and implementation strategies. Each module is crafted to provide a deep understanding of how Generative AI impacts various facets of the modern workplace. What sets this masterclass apart is its focus on real-world application. Through interactive sessions, case studies, and practical exercises, you'll learn to draft effective AI policies, design comprehensive implementation plans, and manage these policies within your organization effectively. The course not only imparts knowledge but also equips you with the tools to apply this knowledge in crafting and executing a robust AI strategy. As we explore the emerging trends in workplace AI, the course emphasizes the importance of continuous learning and adaptation, preparing you to stay ahead in an ever-evolving technological landscape.  

By the end of this masterclass, you'll emerge not just as a learner but as a practitioner, ready to harness the power of Generative AI in driving innovation and efficiency in your organization. Join us in this masterclass to shape the future of your organization with well-informed, ethically grounded, and strategically sound Generative AI policies. Whether you're a business leader, manager, or policy-maker, this course is your key to unlocking the potential of AI in the workplace. 

What You Will Learn

  • Understand and articulate key concepts of Generative AI and its workplace applications.
  • Identify legal and ethical considerations in implementing Generative AI in businesses.
  • Develop and implement comprehensive AI policies, considering organizational needs.
  • Strategize effective AI policy communication and manage employee training programs.

Program Curriculum

  • Chapter 1 Course Overview
  • Opportunities and Challenges Presented by Generative AI
  • The Role of Generative AI in Modern Workplaces
  • Understanding Generative AI - Definitions and Capabilities
  • Quiz

  • Chapter 2 Ethical Implications of AI Use in Business Settings
  • Overview of Legal Frameworks Affecting AI in the Workplace
  • Case Studies: Legal and Ethical Challenges in AI Deployment
  • Quiz

  • Chapter 3 Building a Risk Mitigation Strategy
  • Conducting a Needs Assessment for AI Implementation
  • Identifying and Evaluating AI-Related Risks
  • Quiz

  • Chapter 4 Drafting the Policy: Best Practices and Templates
  • Inclusive Policy Design: Stakeholder Considerations
  • Key Components of an Effective AI Policy
  • Quiz

  • Chapter 5 Monitoring, Evaluation, and Policy Updates
  • Strategies for Policy Implementation and Adoption
  • Training and Support for Employees
  • Quiz

  • Chapter 6 Building a Culture of Continuous Learning and Adaptation
  • Staying Ahead: Emerging Trends in Workplace AI
  • Key Takeaways and Closing
  • Quiz
Load more modules

Instructor

Renaldi Gondosubroto

Renaldi Gondosubroto is a Software Engineer and an Instructor. Having spoken over 30 events and conferences, he has been an international speaker for the past six years, sharing his experiences and projects. He also currently holds all 13 AWS certifications. He aims to build open-source solutions that can both help people achieve more value in what they do and promote best practices for fellow developers.

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