Learn the Basics of AI

Intro

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Learn the Basics of AI supports professionals as they navigate becoming effective AI collaborators. From learning basic definitions of AI and AI literacy to creating a plan to incorporate AI into everyday tasks, this programme supports professionals in university settings and beyond in:

• The basics of AI and generative AI

• The AI literacy framework

• Basic skills needed to collaborate with AI

• Ethical considerations surrounding AI

What You'll Learn

Learn the Basics of AI provides an introduction to using AI in the workplace to increase efficiency and productivity. This course includes applying the AI literacy framework, ethical considerations for using AI in professional work, and developing a plan to collaborate with AI on professional tasks.

This course consists of the following three modules:

1. Introduction to Artificial Intelligence (AI)

2. AI Literacy Framework

3. Responsible Use of AI

By the end of this course, learners will be able to:

✓ Define AI types and use an AI literacy framework in a university context.

✓ Communicate and apply ethical considerations for individuals using AI in a university context.

✓ Apply basic skills needed to collaborate with generative AI tools.

✓ Develop a plan to incorporate AI collaboration into professional tasks to increase efficiency and accuracy.

Who It's For

This course is relevant for professionals who want to increase their AI literacy and remain competitive in the workplace by embracing and collaborating with AI to increase efficiency and productivity.

Get Prepared

All courses are led by an expert instructor and filled with compelling examples of real employment materials, interactive exercises, and opportunities for reflection. For this reason, we recommend you use a laptop or tablet if possible.

Course Expert(s)

Dr Lynette Pretorius

Dr. Lynette Pretorius is an award-winning educator and researcher in the fields of academic language, literacy, research skills, and research methodologies. She has experience teaching undergraduate, postgraduate, and graduate research students, including supervising PhD students. Lynette is the author of multiple journal articles and two academic books focused on the experiences of graduate research students in academia. She has qualifications in Medicine, Science, Education, as well as Counselling, and her research interests include doctoral education, academic identity, student wellbeing, AI literacy, and autoethnography. Lynette is a Senior Fellow of the Higher Education Academy – an international honour awarded to educators who demonstrate a thorough understanding of, and a strong commitment to, teaching and learning approaches which foster high-quality student learning.

Programme

Professional AI Use in Higher Education is a three-course programme that supports professionals as they navigate becoming effective AI collaborators. From learning basic definitions of AI to creating goals to become the AI subject matter expert in the office, this programme supports professionals in university settings and beyond in:

• understanding and increasing AI literacy,

• incorporating AI into daily tasks,

• recognising the impact of AI at the organisational and societal levels,

• developing ethical standards for AI use,

• and creating plans to continue AI learning.

Professional AI Use in Higher Education currently includes the following courses:

1. Learn the Basics of AI

2. Develop Your Professional AI Use

3. Thrive in an AI-Enhanced Professional Environment (expected December, 2024)