AI for Career Readiness and Resilience

$250.00

Dates: February 1 - February 28

Credits: 1.5 CEUs or 15 PDHs

Career Readiness and Resilience helps library, archives, and museum (LAM) professionals build the confidence, adaptability, and practical skills needed to navigate a changing professional landscape. Through guided activities and hands-on exploration of artificial intelligence (AI), participants will learn how to use AI responsibly and ethically to support career reflection, planning, and professional development.

In this four-week, fully asynchronous online course, you will identify your strengths, assess areas for growth, and develop practical strategies for adapting to workplace change, career transitions, and evolving professional opportunities. Whether you are exploring new directions, preparing for future opportunities, or reflecting on your long-term career goals, this course provides tools to help you move forward with greater clarity and confidence.

No prior AI experience is required.

Course Information

Session

Credits

1.5 CEUs or 15 PDHs

Registration dates

We accept registrations through the first week of classes, unless enrollment is full, and unless the class was canceled before it started due to low enrollment.

Course Description

Career Readiness and Resilience helps library, archives, and museum (LAM) professionals build the confidence, adaptability, and practical skills needed to navigate a changing professional landscape. Through guided activities and hands-on exploration of artificial intelligence (AI), participants will learn how to use AI responsibly and ethically to support career reflection, planning, and professional development.

In this four-week, fully asynchronous online course, you will identify your strengths, assess areas for growth, and develop practical strategies for adapting to workplace change, career transitions, and evolving professional opportunities. Whether you are exploring new directions, preparing for future opportunities, or reflecting on your long-term career goals, this course provides tools to help you move forward with greater clarity and confidence.

No prior AI experience is required.

Lisa Cruces

Lisa Cruces is an independent consultant specializing in academic libraries, archives, and organizational development. Previously, Cruces has held positions at the Harry Ransom Center, University of Notre Dame, the University of Houston, and Texas State University, as well as advisory roles for non-institutional community archives and BIPOC collectives. Cruces completed her master of science in Information Studies at the University of Texas at Austin with a focus in archives and special collections and is currently pursuing her MBA in Human Resource Management at Texas State University. Her research focuses on assessing diversity, equity, inclusion, and accessibility in academia and workplace settings.

How to Register

To enroll yourself or other participants in a class, use the “Register” button that follows the description of each course. If the “Register” button does not show up, try loading the page in a different web browser. Contact us if you have technical difficulties using our shopping cart system or would like to pay for an enrollment using another method. On the payment page in the shopping cart system, there is a place to add notes, such as the names and email addresses of participants you wish to enroll. We will contact you to request this information in response to your processed payment if you do not include it in the “notes” field. Prior to the start of the workshop, we will send participants their login instructions.

Payment Info

Our shopping cart system allows you to pay with a credit card or with PayPal.

Alternatively, if it is an institutional payment, we can arrange to invoice you. Contact us by email, and we can make arrangements to suit your institution's business processes.

Special Session

Please contact us to arrange a special session of this class for a group of seven or more, with a negotiable discount, or to be notified when it is next scheduled.

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