Get Better at Generative AI Course

Overview

Artificial Intelligence (AI) is an emerging tool for streamlining work and boosting productivity, but how can you use it effectively? This course explores how Large Language Models (LLMs) work and some of the best ways to use generative AI (GenAI). Through practical experience, you’ll become proficient at prompting and understand when GenAI is commonly used to improve your mahi | work. 

In this course, you’ll explore the building blocks of GenAI, learn its limits and the importance of human oversight. Explore common tasks where using GenAI can increase productivity, and even learn to develop simple GPTs you can use to make your work and life more efficient. 

Build your confidence and skills to engage with and make the most of generative AI tools in just 5 hours of learning. 

If you’re interested in learning more about our accelerated learning courses, sign up to our newsletter. Visit our website to find more options to extend your learning on AI with us. 

This course is ideal for

• People seeking to upskill in generative AI
• People who are unsure about how to use GenAI
• People who need to use generative AI in their work
• Leaders, managers, or team leaders who need to guide their teams in how to use GenAI

What you'll learn

• The broad implications, suitability and limitations of using GenAI 
• How to write effective prompts for GenAI tools
• How to identify tasks well-suited to GenAI tools

Course outline

Our courses are flexible, enabling you to plan your study around your other commitments. You can choose to study when it suits you during the learning period (28 April – 25 May or 30 May – 29 June).

This course will require around 5 hours of study during the learning period. 

Please note: this course includes just 5 hours of learning within a condensed timeframe. Because of this, withdrawals or transfers are only allowed before the course start date. Once learning begins, no changes are permitted. See our Terms and Conditions and the FAQs on our website for more information.

Module 1: Generative AI (GenAI) foundations and basic prompting 

Discover the foundations of generative AI and Large Language Models (LLMs). Learn the essentials of prompting.  

Module 2: Advanced prompt engineering

Explore different ways to refine your prompts to get better results out of your GenAI tools, including how to include images, documents and screenshots.

Module 3: Complex tasks and use cases

Discover and practise how to use GenAI for feedback and summaries. Learn how to identify misinformation in responses.

Module 4: AI in the workplace

Explore the basics of developing tailored GPTs or AI tools to support specific tasks. 

Assessments

All assessments are self-assessments and completion of the course is determined by completion of all the learning modules and the self-assessment activities. 

Upon successful completion of the course you will be issued a digital badge to recognise your learning achievements. 

Requirements

There are no prerequisites for this course – it is open to anyone who has confidence listening, reading, and writing in English.

Technology requirements

We recommend a laptop or desktop computer and a reliable internet connection. For most courses you'll need to download and populate assignments. These are usually available as Microsoft Word documents.

Course fees

Course fees must be paid before learning can begin, either via online credit-card payment, or by contacting info@uconline.ac.nz to request an invoice. Please note: fixed invoice payment dates apply, so we recommend getting in touch with us as soon as possible to request an invoice, as this option is subject to availability.

Cap & minimum enrolment threshold

A minimum number of learners is needed for effective interaction and feedback, while a maximum cap of learners ensures high quality learning and support. If the minimum number of enrolments required for a course isn’t met, or the maximum cap is exceeded, learners will be given the option to defer their study or receive a refund.

Our people

Please note: our academic team develop and present video content within their courses, but are not always the course facilitator. Our learner experience team will be available to answer queries via support@uconline.ac.nz