From Prompt Engineering to Responsible AI in Practice
Move beyond writing prompts to using AI reliably in real-world contexts. Learn how to design simple workflows, evaluate outputs critically and apply responsible, risk-aware practices when using tools like ChatGPT and Copilot.
Learning modes and locations may be different depending on the course start date. Please check the location of your chosen course and read our guide to learning modes and locations to help you choose the right course for you.
Start Date:19 Nov 2026
End Date:26 Nov 2026
Thu (Evening):18:00 - 21:00
Choose either online or in-person
Location: Hybrid (choose either online or in-person)
Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Centre for more information on a range of topics including fees, online learning and FAQs.
This practical progression course moves beyond writing individual prompts to designing reliable, responsible ways of using generative AI in real-world contexts.
You will learn how to structure AI workflows, evaluate outputs critically and apply good practice when using tools such as ChatGPT, Copilot and Claude in professional settings. The course introduces key ideas around accountability, risk and decision-making, while staying firmly grounded in hands-on application.
By the end of the course, you will be able to move from one-off prompting to building repeatable, trustworthy AI-supported processes for your own work or area of interest.
What will we cover?
Moving from prompts to structured AI workflows
Designing repeatable processes using generative AI tools (no coding required)
Evaluating and improving AI outputs (accuracy, tone, bias, reliability)
Recognising the limits of prompt optimisation
Accountability and responsibility when using AI in professional contexts
Identifying risks in AI-assisted tasks (e.g. bias, misinformation, over-reliance)
Creating simple frameworks for responsible AI use in everyday work
Good practice setting: checklists, guardrails and decision points
Designing AI use for workplace or regulated environments
What will I achieve? By the end of this course you should be able to...
Design simple, repeatable AI workflows for practical tasks
Critically assess and improve outputs from generative AI tools
Apply structured approaches to ensure quality and reliability
Identify where human judgement is required in AI-assisted work
Understand and manage common risks in AI use
Create a basic “good practice” framework for your own context
Use generative AI more confidently and responsibly in professional settings
What level is the course and do I need any particular skills?
This is an intermediate course suitable for learners who have completed a beginner-level course in prompt engineering or have equivalent experience using generative AI tools.
In order to get the most from the course you will be able to:
Write and refine prompts using tools like ChatGPT or Copilot
Use a computer confidently to access online platforms
Reflect on your own work and give/receive constructive feedback
Bring examples of tasks from your own area of interest or work (optional but recommended)
How will I be taught, and will there be any work outside the class?
This is a highly practical course combining tutor-led demonstrations, guided exercises, and hands-on activities. You will work on real-world scenarios and may apply the learning to your own professional or personal contexts.
You may be encouraged to experiment with AI tools outside of class and bring examples for discussion.
Are there any other costs? Is there anything I need to bring?
There are no additional costs. You may wish to bring a laptop or tablet to explore tools during the session.
When I've finished, what course can I do next?
You may wish to explore more advanced courses in AI, digital skills, or professional development, including topics such as AI strategy and ethics, governance, or specialised applications of generative AI.
City Lit offers a variety of progression courses in this subject area. Please click here to view our courses
Disclaimer: Use of Third-Party Software
AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.
City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.
We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.
Examples of sensitive information include:
Personal information
Student information
Confidential information
Sensitive information
Information about other people without their consent
Vina Theodorakopoulou teaches at the intersection of technology, business and society, helping learners connect big ideas on economics, innovation and human behaviour to real-world decisions and practical outcomes. With a background in financial and professional services and a PhD in behavioural economics, she brings practical insight into how decisions are made under uncertainty and how systems -from markets to organisations- affect everyday life and work. At City Lit, her courses span topics such as AI and ethics, global capitalism, innovation, sustainability and communication. Across all subjects, she focuses on connecting ideas to practice, encouraging learners to apply what they learn in meaningful and tangible ways. She has a strong interest in global cultures and communication, reflected in her teaching of languages and cultural forms, including Greek dance. She believes learning should open up new ways of thinking about work, culture and how we live — and offer practical value beyond the classroom.
Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.
product
https://www.citylit.ac.uk/from-prompt-engineering-to-responsible-ai-in-practice3073285From Prompt Engineering to Responsible AI in Practicehttps://www.citylit.ac.uk/media/catalog/category/Technology_1.jpg159159GBPInStock/Courses/Courses/Business, marketing & technology/Courses/Business, marketing & technology/AI & technology/Technology/Courses/Business, marketing & technology/AI & technology/Courses/New courses22851211158713526174312285121113526<p>Move beyond writing prompts to using AI reliably in real-world contexts. Learn how to design simple workflows, evaluate outputs critically and apply responsible, risk-aware practices when using tools like ChatGPT and Copilot.</p>003073276From Prompt Engineering to Responsible AI in Practice159159https://www.citylit.ac.uk/media/catalog/category/Technology_1.jpgInStockEveningThuHybrid (choose either online or in-person)Available courses1 to 4 weeksWeekday2026-11-19T00:00:00+00:00Some experienceNov 2026Business, marketing & technologyCMART95159159From Prompt Engineering to Responsible AI in Practice127103159Vina Theodorakopouloufrom-prompt-engineering-to-responsible-ai-in-practice/cmart95-2627<p>Move beyond writing prompts to using AI reliably in real-world contexts. Learn how to design simple workflows, evaluate outputs critically and apply responsible, risk-aware practices when using tools like ChatGPT and Copilot.</p>0000-Available|2026-11-19 00:00:00<p>This practical progression course moves beyond writing individual prompts to designing reliable, responsible ways of using generative AI in real-world contexts.</p><p><br>You will learn how to structure AI workflows, evaluate outputs critically and apply good practice when using tools such as ChatGPT, Copilot and Claude in professional settings. The course introduces key ideas around accountability, risk and decision-making, while staying firmly grounded in hands-on application.</p><p><br>By the end of the course, you will be able to move from one-off prompting to building repeatable, trustworthy AI-supported processes for your own work or area of interest.<br> </p><p>Move beyond writing prompts to using AI reliably in real-world contexts. Learn how to design simple workflows, evaluate outputs critically and apply responsible, risk-aware practices when using tools like ChatGPT and Copilot.</p><ul><li>Moving from prompts to structured AI workflows</li><li>Designing repeatable processes using generative AI tools (no coding required)</li><li>Evaluating and improving AI outputs (accuracy, tone, bias, reliability)</li><li>Recognising the limits of prompt optimisation</li><li>Accountability and responsibility when using AI in professional contexts</li><li>Identifying risks in AI-assisted tasks (e.g. bias, misinformation, over-reliance)</li><li>Creating simple frameworks for responsible AI use in everyday work</li><li>Good practice setting: checklists, guardrails and decision points</li><li>Designing AI use for workplace or regulated environments</li></ul><ul><li>Design simple, repeatable AI workflows for practical tasks</li><li>Critically assess and improve outputs from generative AI tools</li><li>Apply structured approaches to ensure quality and reliability</li><li>Identify where human judgement is required in AI-assisted work</li><li>Understand and manage common risks in AI use</li><li>Create a basic “good practice” framework for your own context</li><li>Use generative AI more confidently and responsibly in professional settings</li></ul><p>This is an intermediate course suitable for learners who have completed a beginner-level course in prompt engineering or have equivalent experience using generative AI tools.</p><p><br>In order to get the most from the course you will be able to:</p><ul><li>Write and refine prompts using tools like ChatGPT or Copilot</li><li>Use a computer confidently to access online platforms</li><li>Reflect on your own work and give/receive constructive feedback</li><li>Bring examples of tasks from your own area of interest or work (optional but recommended)</li></ul><p>This is a highly practical course combining tutor-led demonstrations, guided exercises, and hands-on activities. You will work on real-world scenarios and may apply the learning to your own professional or personal contexts.</p><p><br>You may be encouraged to experiment with AI tools outside of class and bring examples for discussion.<br> </p><p>There are no additional costs. You may wish to bring a laptop or tablet to explore tools during the session.</p><p>You may wish to explore more advanced courses in AI, digital skills, or professional development, including topics such as AI strategy and ethics, governance, or specialised applications of generative AI.</p><p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/C2627_Technology_courses.pdf" target="_blank" rel="noopener noreferrer">here</a> to view our courses</p><p><strong>Disclaimer: Use of Third-Party Software</strong></p><p>AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.</p><p>City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.</p><p>We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.</p><ul><li>Examples of sensitive information include:<ul><li>Personal information</li><li>Student information</li><li>Confidential information</li><li>Sensitive information</li><li>Information about other people without their consent</li></ul></li></ul><p>Please also refer to our <a href="https://help.citylit.ac.uk/hc/en-gb/sections/16569136276637-Students" target="_blank" rel="noopener noreferrer">City Lit policies</a></p>AI & technologyTechnologyvirtual3073279From Prompt Engineering to Responsible AI in Practice159159https://www.citylit.ac.uk/media/catalog/category/Technology_1.jpgInStockDaytimeSunHybrid (choose either online or in-person)Available courses1 to 4 weeksWeekend2027-03-07T00:00:00+00:00Some experienceMar 2027Business, marketing & technologyCMART96159159From Prompt Engineering to Responsible AI in Practice127103159Vina Theodorakopouloufrom-prompt-engineering-to-responsible-ai-in-practice/cmart96-2627<p>Move beyond writing prompts to using AI reliably in real-world contexts. Learn how to design simple workflows, evaluate outputs critically and apply responsible, risk-aware practices when using tools like ChatGPT and Copilot.</p>0000-Available|2027-03-07 00:00:00<p>This practical progression course moves beyond writing individual prompts to designing reliable, responsible ways of using generative AI in real-world contexts.</p><p><br>You will learn how to structure AI workflows, evaluate outputs critically and apply good practice when using tools such as ChatGPT, Copilot and Claude in professional settings. The course introduces key ideas around accountability, risk and decision-making, while staying firmly grounded in hands-on application.</p><p><br>By the end of the course, you will be able to move from one-off prompting to building repeatable, trustworthy AI-supported processes for your own work or area of interest.<br> </p><p>Move beyond writing prompts to using AI reliably in real-world contexts. Learn how to design simple workflows, evaluate outputs critically and apply responsible, risk-aware practices when using tools like ChatGPT and Copilot.</p><ul><li>Moving from prompts to structured AI workflows</li><li>Designing repeatable processes using generative AI tools (no coding required)</li><li>Evaluating and improving AI outputs (accuracy, tone, bias, reliability)</li><li>Recognising the limits of prompt optimisation</li><li>Accountability and responsibility when using AI in professional contexts</li><li>Identifying risks in AI-assisted tasks (e.g. bias, misinformation, over-reliance)</li><li>Creating simple frameworks for responsible AI use in everyday work</li><li>Good practice setting: checklists, guardrails and decision points</li><li>Designing AI use for workplace or regulated environments</li></ul><ul><li>Design simple, repeatable AI workflows for practical tasks</li><li>Critically assess and improve outputs from generative AI tools</li><li>Apply structured approaches to ensure quality and reliability</li><li>Identify where human judgement is required in AI-assisted work</li><li>Understand and manage common risks in AI use</li><li>Create a basic “good practice” framework for your own context</li><li>Use generative AI more confidently and responsibly in professional settings</li></ul><p>This is an intermediate course suitable for learners who have completed a beginner-level course in prompt engineering or have equivalent experience using generative AI tools.</p><p><br>In order to get the most from the course you will be able to:</p><ul><li>Write and refine prompts using tools like ChatGPT or Copilot</li><li>Use a computer confidently to access online platforms</li><li>Reflect on your own work and give/receive constructive feedback</li><li>Bring examples of tasks from your own area of interest or work (optional but recommended)</li></ul><p>This is a highly practical course combining tutor-led demonstrations, guided exercises, and hands-on activities. You will work on real-world scenarios and may apply the learning to your own professional or personal contexts.</p><p><br>You may be encouraged to experiment with AI tools outside of class and bring examples for discussion.<br> </p><p>There are no additional costs. You may wish to bring a laptop or tablet to explore tools during the session.</p><p>You may wish to explore more advanced courses in AI, digital skills, or professional development, including topics such as AI strategy and ethics, governance, or specialised applications of generative AI.</p><p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/C2627_Technology_courses.pdf" target="_blank" rel="noopener noreferrer">here</a> to view our courses</p><p><strong>Disclaimer: Use of Third-Party Software</strong></p><p>AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.</p><p>City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.</p><p>We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.</p><ul><li>Examples of sensitive information include:<ul><li>Personal information</li><li>Student information</li><li>Confidential information</li><li>Sensitive information</li><li>Information about other people without their consent</li></ul></li></ul><p>Please also refer to our <a href="https://help.citylit.ac.uk/hc/en-gb/sections/16569136276637-Students" target="_blank" rel="noopener noreferrer">City Lit policies</a></p>AI & technologyTechnologyvirtual127159103CMART95,CMART96NONEThu,Sun19/11/26 - 26/11/2618:00 - 21:0018:0021:002 sessions (over 2 weeks)21 to 4 weeksWeekday,WeekendHybridHybrid (choose either online or in-person)Vina TheodorakopoulouSome experienceAvailable courses2026-11-19T00:00:00+00:00,2027-03-07T00:00:00+00:00Evening,DaytimeNov 2026,Mar 2027Business, marketing & technology159159From Prompt Engineering to Responsible AI in Practicefrom-prompt-engineering-to-responsible-ai-in-practice/cmart95-2627,from-prompt-engineering-to-responsible-ai-in-practice/cmart96-2627<p>Move beyond writing prompts to using AI reliably in real-world contexts. Learn how to design simple workflows, evaluate outputs critically and apply responsible, risk-aware practices when using tools like ChatGPT and Copilot.</p>0000-Available|2026-11-19 00:00:00<p>This practical progression course moves beyond writing individual prompts to designing reliable, responsible ways of using generative AI in real-world contexts.</p><p><br>You will learn how to structure AI workflows, evaluate outputs critically and apply good practice when using tools such as ChatGPT, Copilot and Claude in professional settings. The course introduces key ideas around accountability, risk and decision-making, while staying firmly grounded in hands-on application.</p><p><br>By the end of the course, you will be able to move from one-off prompting to building repeatable, trustworthy AI-supported processes for your own work or area of interest.<br> </p><p>Move beyond writing prompts to using AI reliably in real-world contexts. Learn how to design simple workflows, evaluate outputs critically and apply responsible, risk-aware practices when using tools like ChatGPT and Copilot.</p><ul><li>Moving from prompts to structured AI workflows</li><li>Designing repeatable processes using generative AI tools (no coding required)</li><li>Evaluating and improving AI outputs (accuracy, tone, bias, reliability)</li><li>Recognising the limits of prompt optimisation</li><li>Accountability and responsibility when using AI in professional contexts</li><li>Identifying risks in AI-assisted tasks (e.g. bias, misinformation, over-reliance)</li><li>Creating simple frameworks for responsible AI use in everyday work</li><li>Good practice setting: checklists, guardrails and decision points</li><li>Designing AI use for workplace or regulated environments</li></ul><ul><li>Design simple, repeatable AI workflows for practical tasks</li><li>Critically assess and improve outputs from generative AI tools</li><li>Apply structured approaches to ensure quality and reliability</li><li>Identify where human judgement is required in AI-assisted work</li><li>Understand and manage common risks in AI use</li><li>Create a basic “good practice” framework for your own context</li><li>Use generative AI more confidently and responsibly in professional settings</li></ul><p>This is an intermediate course suitable for learners who have completed a beginner-level course in prompt engineering or have equivalent experience using generative AI tools.</p><p><br>In order to get the most from the course you will be able to:</p><ul><li>Write and refine prompts using tools like ChatGPT or Copilot</li><li>Use a computer confidently to access online platforms</li><li>Reflect on your own work and give/receive constructive feedback</li><li>Bring examples of tasks from your own area of interest or work (optional but recommended)</li></ul><p>This is a highly practical course combining tutor-led demonstrations, guided exercises, and hands-on activities. You will work on real-world scenarios and may apply the learning to your own professional or personal contexts.</p><p><br>You may be encouraged to experiment with AI tools outside of class and bring examples for discussion.<br> </p><p>There are no additional costs. You may wish to bring a laptop or tablet to explore tools during the session.</p><p>You may wish to explore more advanced courses in AI, digital skills, or professional development, including topics such as AI strategy and ethics, governance, or specialised applications of generative AI.</p><p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/C2627_Technology_courses.pdf" target="_blank" rel="noopener noreferrer">here</a> to view our courses</p><p><strong>Disclaimer: Use of Third-Party Software</strong></p><p>AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.</p><p>City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.</p><p>We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.</p><ul><li>Examples of sensitive information include:<ul><li>Personal information</li><li>Student information</li><li>Confidential information</li><li>Sensitive information</li><li>Information about other people without their consent</li></ul></li></ul><p>Please also refer to our <a href="https://help.citylit.ac.uk/hc/en-gb/sections/16569136276637-Students" target="_blank" rel="noopener noreferrer">City Lit policies</a></p>AI & technologyTechnologyconfigurable
