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Overview
This course introduces the fundamentals of prompting large language models and explores techniques to improve the quality of generative AI outputs. Learners will gain practical skills to interact effectively with generative AI, understand its capabilities, and apply best practices for prompt design and output accuracy.
Prerequisites
Attendees should have access to gemini.google.com to complete the course activities. There are no other prerequisites for this course. It aims to provide both introductory and advanced insights into generative AI, making it suitable for individuals with varying levels of AI expertise.
Target Audience
This course is designed for business professionals who apply generative AI techniques to solve common day-to-day tasks.
Learning objectives
By the end of this course, learners will be able to:
- Explain the capabilities of generative AI and list possible use cases
- Identify the differences between keyword search and prompting, and list the benefits of prompting
- Describe and apply prompt design best practices
- Describe and apply approaches to improve the accuracy of generative AI responses
Course Outline
What is Generative AI?
- Definition of generative AI
- Capabilities of generative AI
- Tasks generative AI can help with
- Group discussion
Searching vs Prompting
- Differences between keyword search and prompting
- Prompt examples
- The benefits of prompting
- Activity with Google Gemini
Prompt Design Best Practices
- The importance of prompt design
- General best practices
- Use prompt building blocks
- Provide examples
- Iterate through prompts
- Define follow-up prompts
- Chain-of-thought
- Prompt editor
- Demos and activity with Google Gemini
Improving Output Accuracy
- Hallucinations definition
- Use prompt instructions
- Grounding and citations
- Double-check responses
- Developer settings
- Demos and activity with Google Gemini
Quiz & Summary
- Quiz questions
- Course summary
- Q&A
Exams and Assessments
The course includes a quiz as an assessment.
Hands-On Learning
Learners will engage in group discussions, activities with Google Gemini, and demonstrations to apply prompt design and output improvement techniques in practical scenarios.
Frequently asked questions
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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
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How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course.
Once you have purchased the Online course and have completed your registration, you will receive the necessary details to enable you to immediately access it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.