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Overview
This course provides a practical and accessible introduction to generative AI, focusing on how modern AI systems create content, support decision-making, and enable new ways of working across organisations. Learners will explore the capabilities of generative AI, understand how it differs from traditional AI approaches, and assess both the opportunities and risks associated with its adoption.
The course emphasises real-world relevance, helping learners evaluate where generative AI can deliver business value and how it can be implemented responsibly. Through examples, discussion, and hands-on interaction with generative AI tools, participants will build the confidence to engage with these technologies effectively and apply learning back to their organisational context.
Prerequisites
This course is designed to be accessible to a wide audience and does not require deep technical expertise. Learners should have:
- A general awareness of digital technologies used in modern organisations.
- An interest in understanding how AI is influencing business, roles, and decision-making.
- No prior experience with AI development, data science, or programming is required.
Target audience
This course is suitable for learners who want a foundational understanding of generative AI and its business impact, including:
- Beginners and intermediate learners exploring generative AI concepts for the first time.
- Professionals across industries such as business operations, marketing, HR, education, healthcare, and technology.
- Managers, team leaders, and individual contributors who will share insights with their teams or influence AI adoption decisions.
- Organisations seeking to build a shared understanding of generative AI across multiple functions.
Delegates will learn how to
By the end of this course, learners will be able to:
- Describe the core capabilities of generative AI and the types of content it can create, including text, images, audio, video, and code.
- Explain the key differences between traditional AI systems and generative AI models.
- Analyse the strengths, limitations, and risks associated with generative AI in organisational settings.
- Evaluate real-world use cases and assess the feasibility of implementing generative AI across different industries.
- Interact with generative AI tools effectively using structured prompting techniques.
- Explain the concept of retrieval augmented generation and its value in improving accuracy and relevance for business use cases.
Outline
Introduction to generative AI
This module establishes a shared foundation for understanding generative AI and its growing influence.
- Overview of artificial intelligence and the evolution toward generative models.
- Capabilities and applications of generative AI across text, images, music, video, and code.
- Key differences between traditional AI approaches and generative AI systems.
- Demonstrations of commonly used generative AI tools and platforms.
Strengths and challenges of generative AI
This module explores both the potential and the limitations of generative AI to support informed decision-making.
- Strengths and benefits of generative AI, including productivity, creativity, and scalability.
- Common limitations such as hallucinations, bias, data dependency, and lack of transparency.
- Ethical, legal, and security considerations when using generative AI.
- Risks associated with misuse, overreliance, and poor governance.
Real-world applications and implementation of generative AI
This module focuses on how generative AI is applied in practice and how organisations can approach adoption.
- Industry use cases across marketing, healthcare, education, customer service, and technology.
- Evaluating business problems that generative AI can realistically address.
- Stakeholder considerations, including leadership, employees, customers, and regulators.
- Assessing feasibility, readiness, and strategic options for implementation.
Effective prompt design and retrieval augmented generation
This module develops practical skills for interacting with generative AI tools effectively.
- The significance of prompt design in shaping AI outputs.
- Core principles of clear, structured, and context-aware prompting.
- Common prompting strategies for business and professional use cases.
- Introduction to retrieval augmented generation and how it improves reliability and relevance.
- Understanding the business value of combining internal data with generative AI models.
Exams and assessments
There are no formal exams included in this course. Learners will complete informal knowledge checks, discussions, and practical activities throughout the course to reinforce understanding and support applied learning.
Hands-on learning
This course includes opportunities for experiential learning, including:
- Guided interaction with generative AI tools to create and refine outputs.
- Practical exercises focused on prompt design and evaluation of results.
- Scenario-based discussions exploring real organisational challenges and use cases.
Frequently asked questions
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".
If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
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. When you book a QA online learning course you will receive immediate access to 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.