FREE ONLINE COURSE
Using Generative AI at Work
This free, self-paced online course helps you integrate GenAI tools into your government work, enhancing public service delivery while managing risks responsibly.
ABOUT THE COURSE
Divided into short accessible videos, the course is designed to give you practical skills you can use to serve the public better.
- Introduction to GenAI: Master the fundamentals of Generative AI
- Public Sector Uses: Explore real-world cases where GenAI is improving government services
- Essential Tools: Master key GenAI platforms and how to use them in your work in government
- Security & Ethics: Learn best practices for protecting sensitive information while using GenAI
- Critical Perspectives: Understand key societal risks and opportunities created by AI
Watch the first lesson
Course Curriculum
Course overview
Provides an overview of the course, including its learning objectives and relevance for professionals in the public sector. Suitable for individuals at all levels, the course aims to enhance productivity and effectiveness in their respective roles.
Explaining Generative AI: What it is
Describes basics of GenAI and its capabilities, and how its use can enhance a public professional’s daily work and their impact on residents.
Effective use part 1: How Generative AI can help your day-to-day
Introduces 10 typical work activities compatible with GenAI, along with a framework for responsibly identifying suitable personal work tasks for its application.
Effective use part 2: Generative AI best practices
Offers best practices for utilizing GenAI via 'prompt engineering,' complemented by interactive hypothetical exercises to facilitate practical application of acquired knowledge.
Overcoming risks: Your individual use
Reviews ethical risks that are relevant to the day-to-day use of GenAI. Discusses practical approaches to addressing and mitigating risks.
Societal challenges
Explores the ethical implications of employing GenAI at a societal level and dissects potential challenges such as copyright infringement, deep fakes, astroturfing, and issues related to private platforms. Additionally, this module delves into ongoing efforts aimed at mitigating these risks.
Conclusion
Learners interested in scaling AI in their organization should continue to the next course in this series.
