Generative AI is a subset of artificial intelligence (AI) that specifically focuses on independently creating new content, data, or solutions. Unlike traditional AI systems, which depend on predetermined rules or training data, generative AI can produce original and often realistic outputs, such as images, text, music, or complete datasets, without direct human involvement. This technology operates through algorithms that can analyze and imitate patterns within existing data, enabling it to generate unique and innovative results that have applications in content creation, data enhancement, and problem-solving across various fields.

By the end of the course, you will be able to:

• Explain the differences between generative AI, large language models (LLMs), machine learning, neural networks and other related concepts, and apply your understanding to your business to identify potential use-cases in your context
• Analyse appropriate applications of generative AI in specific business contexts, including benefits, value, challenges, decision-making, and so on
• Articulate the steps to apply generative AI in your context, identifying the key considerations and decisions required at each step
• Identify and evaluate risks surrounding the use of AI in a business context
• Design a people-centred process for the application of generative AI in an organisation
• Evaluate the potential application of future AI developments for a specific organisation and/or industry.

Utilising Generative AI solutions within enterprises can prove advantageous for organizations by facilitating the reduction of product development duration, enhancement of customer satisfaction, augmentation of employee efficiency, facilitation of informed decision-making processes, and optimization of operational and production expenses.

Generative AI in Business is a University of Cambridge Online course that enables learners to:

• Explain the differences between generative AI, large language models (LLMs), machine learning, neural networks and other related concepts, and apply your understanding to your business to identify potential use-cases in your context
• Analyse appropriate applications of generative AI in specific business contexts, including benefits, value, challenges, decision-making, and so on
• Articulate the steps to apply generative AI in your context, identifying the key considerations and decisions required at each step
• Identify and evaluate risks surrounding the use of AI in a business context
• Design a people-centred process for the application of generative AI in an organisation
• Evaluate the potential application of future AI developments for a specific organisation and/or industry

Per Ola Kristensson is a Professor of Interactive Systems Engineering at the University of Cambridge's Department of Engineering and is also a fellow at Trinity College. He is in charge of the Intelligent Interactive Systems Group at the Cambridge Engineering Design Centre and is one of the founders and directors of the Centre for Human-Inspired Artificial Intelligence at the same university.

Henry Ajder is a well-known advisor, broadcaster, and speaker who is actively involved in the deepfake and generative AI revolution. His research efforts since 2018 have played a significant role in shaping the global perception of generative AI. Furthermore, he acts as an AI consultant for esteemed organizations such as Adobe, EY, Meta, and the UK Government.

Jonathan M Cullen, who holds the position of Professor of Sustainable Engineering at the University of Cambridge, leads the Resource Efficiency Collaborative and is highly respected for his extensive research on resource systems. He specializes in creating innovative metrics that accurately represent the energy and emission impacts of material production.

You might find the course valuable if you are:

• Senior Leader/Corporate Executive
• Founder/Entrepreneur
• Innovation Manager
• Technology Manager
• Marketing Manager

Our certified courses reflect the Cambridge experience and values, with low student to tutor ratios and academically rigorous standards. Our learning model is designed to help you advance your skills and specialise in emerging areas that address global challenges. We will help you build your network through an engaging and impactful learning journey that encourages collaboration. Courses are delivered in weekly modules, allowing you to plan your time effectively. The assessment criteria will be presented to you at the start of the course, so you can approach your studies with confidence and motivation, knowing what is expected of you and how to meet those expectations.

Throughout your online learning experience, you will have access to your course tutor, who will help facilitate your learning and provide you with support and guidance during your studies. You can interact with your tutor through a range of media, such as live sessions, discussion forums, email or canvas messaging.

Each course includes a balance of:

• Interactive learning and real-world application so you can directly apply what you’re learning to your own context
• Diverse teaching methods to enhance learning outcomes which will be delivered via learning activities such as University of Cambridge academic led videos, quizzes and group work
• Optional live sessions (1 hour) with University of Cambridge academics and tutors to deepen your understanding of the week's material. These sessions may include an informal Q&A, a short lecture or a breakout activity that builds on the content introduced that week. All sessions are recorded and made available to stream so you can catch up whenever suits you
• Guided critical thinking via our reflective workbook so you can collect, structure and summarise information and your thoughts as you progress through the course.

The prerequisites for this course do not require a specific background in mathematics or computer science. However, a qualification in quantitative reasoning would be beneficial. Learners are expected to have a proficiency in spoken and written English that allows for active engagement and achievement in the course. It is advisable to have an English language aptitude comparable to an IELTS score of 7.

The duration of the course is 6 weeks and learners are expected to spend 6 to 8 hours per week on this course.

You will receive a Certificate of Achievement from the University of Cambridge Online on successful completion.

Participants must complete a six-week online course, including the submission of a final graded assignment.

The Generative AI in Business certification offers learners various opportunities, such as:

• Skill enhancement
• Career growth
• Problem-solving skills
• Competitive advantage
• Adaptability to latest technologies

During your online learning journey, you will have the valuable opportunity to engage with a dedicated course tutor. They will play a crucial role in facilitating your learning and offering support and guidance throughout your studies. You can easily interact with your tutor through various mediums, including live sessions, discussion forums, email, or the canvas messaging system.

• Sufficient internet speed and stability for video streaming (2 Mbps up/down)
• No specialist software or equipment is needed.