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. 

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

This course aims to introduce a fundamental understanding of generative AI and Large Language Models (LLMs). Learners will understand the basics of Gen AI, improve their prompting skills with hands-on activities, go deeper into some common use cases and practical applications, and even develop simple GPTs that can be used to make your work and life more efficient. 

Course outline

The course is divided into four modules you'll work your way through over the learning period. Each module includes specific learning objectives, educational content across a range of media, activities to apply what you've learnt, plus a 'temperature check' survey to make sure you're getting what you need as a learner. 

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. 

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.
• A PDF reader (like Adobe Acrobat Reader DC) to download PDFs with assessment instructions.
• Word processing software (like Microsoft Word or Google Docs) to complete your assignments.

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.

Group discounts
Get your colleagues together to take advantage of our group discounts: 

• 10% for 3 - 6 learners
• 15% for 7+ learners

Contact our Enrolment Support Team to learn more and enquire now.

Withdrawals and refunds
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.

Our people

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