Generative AI in Business
Tap into the technology of the future with this cutting-edge course, designed to help you harness the full potential of generative AI to transform your business.
Price
£2,200
Commitment
6–8 hours per week
Study mode
Tutor guided
Certificate of Achievement
Evidence your learning with a Certificate of Achievement from the University of Cambridge on successful completion.
Duration of 6 weeks
Regular weekly participation is key to gaining the most from your learning experience.
Course dates and prices
Payment options
Card and debit cards
We accept all major credit and debit cards for quick and secure payments.
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You can use either your PayPal balance or a linked credit or debit card for quick and convenient transactions. PayPal may offer the option to pay in instalments, subject to eligibility.
Bank transfer
If you prefer to pay via direct bank transfer (BACS), our dedicated Customer Service team can facilitate this. Full payment is required at least two weeks before the course start date to confirm your place.
Request a quote
You can opt to pay later via bank transfer or card, which may be helpful if you’re requesting employer funding. After placing your order, you’ll receive an email with payment instructions. Full payment is required at least two weeks before the course start date to confirm your place.
Request an invoice
You can request an invoice for payment via bank transfer or other available methods. This option is ideal for individuals approved for employer funding, or businesses and institutions managing group bookings. An invoice will be sent after completing your order. Payment must be made in full within seven days of an invoice being issued. If payment is not made within these terms, or prior to starting the course, the order will be cancelled, and any enrolments will be revoked. For more details on eligibility for invoices, please contact us (opens in a new tab).
Employer funding
Use our Employer funding guide to build your business case to request financial support from your employer.
Activities breakdown
Participants can learn at their own pace throughout the week, engaging with course materials, participating in discussions and completing assignments. On average, the courses require a commitment of 6 to 8 hours per week.
- Built content
Engage with a variety of interactive materials, including videos, animations, quizzes and case studies, designed to provide a comprehensive understanding of the subject matter. - Discussion
Participate in thought-provoking discussions, where you can exchange ideas and insights with fellow learners and deepen your understanding of key concepts. - Research
Conduct independent research, such as reading recommended materials or searching for additional information online, to expand your knowledge and apply learning to real-world contexts. - Live session
Join an optional live session led by University of Cambridge academics and tutors. These sessions provide an opportunity to ask questions, gain further insights and connect directly with experts in the field. - Assessment
Consolidate and apply your learning by completing a work-based project. Receive personalised expert feedback on your work and a certificate of achievement.
Learning approach
Our three-pronged learning approach ensures we deliver high-quality programmes that meet the needs of our learners, clients and wider community.
- Professional-centred learning
Our creative courses, designed with University of Cambridge academics, allow you to deeply engage with the course material, actively apply knowledge to your professional context, receive personalised feedback and reflect on your learning experience. - Rigorous application
Our professional-level courses, delivered by University of Cambridge experts, push you to achieve your learning goals. Participate in challenging and thought-provoking activities, engage with your tutor and fellow participants and complete an assessment that showcases your learning. - A connected cohort experience
Ask your expert tutor questions, take part in interactive live online sessions, share your perspective and interact with the other professionals in your cohort during and after the course.
About the course
This course provides a broad overview of the fast-moving world of generative artificial intelligence (AI). You’ll learn how to recognise its potential, avoid the pitfalls and apply cutting-edge generative AI in your business.
Throughout the six-week journey, you’ll learn essential principles and strategies for integrating generative AI into organisational frameworks. You will explore key areas such as evaluating AI solutions, identifying opportunities and navigating challenges and risks – all with a focus on your own business context. Drawing on practical, real-world case studies week on week, you will learn techniques that will help you to stay ahead in a fast-evolving sector.
With expert guidance from University of Cambridge tutors every step of the way, you’ll build a strong understanding of the differences between generative AI, large language models (LLMs), machine learning, neural networks and other related technologies. By the end of the course, you’ll have developed a strategic deployment plan for generative AI tailored to your organisation’s unique needs and objectives.
Whether you’re looking to lead the charge on next-generation advancements or drive AI adoption within your organisation, this course will give you the insights and tools you need to harness the full potential of generative AI.
This course equals 48 hours of the CPD Certification Service (opens in a new tab) time.
University of Cambridge course leads
Professor Per Ola Kristensson
Professor of Interactive Systems Engineering, Department of Engineering, University of Cambridge
Per Ola leads the Intelligent Interactive Systems Group at the Cambridge Engineering Design Centre. He is also a co-founder and co-director of the Centre for Human-Inspired Artificial Intelligence at the University of Cambridge.
Henry Ajder
Jesus College Intellectual Forum Senior Research Associate
Professor Jonathan M Cullen
Professor of Sustainable Engineering, Fellow of Fitzwilliam College
Jonathan is Professor of Sustainable Engineering at the University of Cambridge. He leads the Resource Efficiency Collective (www.refficiency.org) and has a reputation for creating top-down studies of resource systems, bringing skills in developing new metrics to reflect both energy and emissions consequences of materials production.
What our learners are saying
Alex Hawkins
Head of Discovery PMO and Solutions, Conduent
The course was practical and directly applicable to my work. It helped me evaluate opportunities and risks, which has been invaluable as we assess new products and market opportunities.
Damian Moran
Global Operations Director, TBWA/Media Arts Lab
The course’s practical, engaging approach helped me overcome the daunting AI terminology, making complex concepts more accessible. The structured modules and discussions have left me confident in my ability to play a key role in AI evaluation and adoption within my organisation.
Help and support
Need help? We’ve got you covered. Explore our support options below to find answers quickly or get in touch with our team.
- Visit our Help Centre (opens in a new tab): Browse FAQs and guidance to quickly find answers to common questions.
- Contact our Support Team (opens in a new tab): Submit an enquiry about your order or our courses and our team will get back to you.
- Read our Legal policies: Learn more about our Terms of Purchase, Terms of Use and Policies on our legal pages.
- Cancel your order (opens in a new tab): Submit a request to cancel your order and find out about our refunds process
Please note that taxes may be added at checkout depending on your location and applicable local tax regulations. The final price, including any applicable taxes, will be shown before payment is completed.
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