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Building AI Literacy Programs for Busy Frontline Workers

Thursday September 26, 11AM ET

Key Takeaways

  • Learn how to set up a data literacy or AI literacy training program.
  • Learn how to increase adoption and engagement for your training.
  • Learn how to increase impact and measure return on investment from your training.

Your Presenter(s)

Caryn Tan headshot

Caryn Tan

Learning Solutions Architect at DataCamp

Caryn plays a pivotal, senior role in expanding DataCamp's presence across enterprise clients. She previously built Accenture's global Responsible AI practice where she championed ethical AI deployments for FTSE100 clients. She has worked with The Alan Turing Institute on algorithmic fairness and advised the UK government on the ethics of AI guidelines. Caryn was an adjunct professor for Ada National College and an assessor for Oxford University's online AI program. She ran a consultancy specializing in learning design for data and AI with clients such as Multiverse and two Y-Combinator startups.

Why this matters

Whether you are building a data literacy or AI literacy program for a single team, or scaling to an academy of thousands of employees, there are always time constraints that come in the way of upskilling, especially for busy frontline workers. 

In this session, Caryn Tan, a Learning Solutions Architect at DataCamp, teaches you how to set up a data and AI literacy training program that scales for different learning appetites and schedules. You'll learn how to develop learning personas and match them to training goals, how to encourage the adoption of your upskilling program, how to get your learners to stay engaged with the training, and how to ensure that even the busiest workers are learning data & AI skills.

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