Give your team the confidence to work with Generative AI.
This course is designed for business professionals, team leads, product managers, creatives and others seeking to understand GenAI basics.
Prerequisites:No coding experience required.
Learning Outcomes
By the end of this course, participants will be able to:
- Explain what Generative AI is and how it differs from other types of AI.
- Identify industry use cases and understand GenAI’s business impact.
- Understand how tools like ChatGPT and image generators work at a high level.
- Recognise ethical risks, limitations and data concerns.
- Use GenAI tools safely and effectively in a work enviroment.
- Evaluate opportunities and limitations for GenAI in their own roles or business.
Looking for a more advanced AI course?
We offer a range of specialist AI courses tailored to different roles, industries and levels of expertise. Explore our AI training options here.
6 lesson covers:
What is Generative AI?
Gain a clear understanding of Generative AI, including its definition, key features and how it differs from traditional AI and machine learning. This module provides an overview of GenAI models for text, image, and audio generation, with a live demo using ChatGPT to showcase its capabilities.
Industry Use Cases and Business Impact
Explore how Generative AI (GenAI) is being applied across various industries, including media, healthcare, legal, education, and software. You will learn about common use cases such as content generation, summarization, code assistance, and idea generation. A group activity will follow, where participants will identify opportunities to implement GenAI within their own sectors, fostering practical understanding of its business impact.
Understanding the Technology
This module covers Large Language Models (LLMs), explaining how they are trained to learn from vast datasets. We will compare open-source vs. proprietary models (e.g., OpenAI, Meta, Google) and discuss the limits of GenAI, including issues like hallucinations, outdated knowledge, and reasoning challenges.
Hands-On With GenAI Tools
Learn how to write effective prompts to get the best results from Generative AI tools. We will cover using ChatGPT for writing, brainstorming, and research, followed by an introduction to image generation with tools like DALL·E and Midjourney. Additionally, an optional overview of AI copilots, such as GitHub Copilot and Notion AI, will highlight how these tools assist in tasks like coding and content creation.
Risks, Ethics, and Responsible Use
This module explores the ethical considerations and risks associated with Generative AI. Topics include bias in AI outputs, privacy and data protection concerns, and intellectual property issues around content ownership. We will also discuss responsible AI use in the workplace, emphasising how to mitigate risks and ensure ethical practices when integrating GenAI into business operations.
Skills, Roles, and Next Steps
Explore the evolving roles in the workforce as AI fluency becomes increasingly important across professions. You’ll learn key skills for effective AI collaboration, such as prompt engineering and data awareness. We’ll also cover how to stay current with GenAI tools, newsletters, and research. The module concludes with a final activity where you’ll draft a GenAI action plan tailored to your team or role, helping you integrate AI strategies into your work.
Generative AI Training FAQS
Yes, ChatGPT is a type of Generative AI developed by OpenAI. It’s powered by a large language model (LLM), a machine learning system trained on vast amounts of data to recognise patterns in language. By using these patterns, ChatGPT can generate new, human-like text, code and other content in response to user prompts.
Generative AI capability typically develops in four stages:
Level 1: Exploration – Teams experiment with tools and identify realistic use cases.
Level 2: Evaluation – They refine prompts and assess outputs to understand AI’s practical value.
Level 3: Integration – Workflows are automated to improve efficiency and reduce manual effort.
Level 4: Optimisation – Multiple systems are connected to achieve advanced performance and quality improvements.
If you’d like to help your team gain the skills to navigate each stage of Generative AI adoption, get in touch and we’ll help you find the right course for each team member.
Yes. Our trainers have extensive professional experience and hold recognised certifications in their fields. They bring real-world expertise to every session, ensuring the training is practical, relevant and tailored to business needs.
We combine expert trainers, flexible delivery options and real-world business relevance. Our courses focus on practical, applicable skills, not just theory.
We also work closely with you to find the right level of training for your team, ensuring every session meets your goals and delivers measurable impact.
