Key information
Price
US$2,550
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.
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 window) time.
This course takes you through the fundamentals of generative AI – from core concepts and key developments to commercial applications. Starting with an introduction to AI and LLMs, you’ll explore how generative AI is transforming businesses and dive into risk management, ethical concerns and legal implications. You'll build a portfolio of evidence, learn how to identify potential opportunities for AI integration, develop solutions and tackle challenges. In an assessed final project you will apply your learning to real-world scenarios.
Module 1: Introduction to generative artificial intelligence (AI)
Module 2: How does generative AI add value to business?
Module 3: Managing risks and ethical considerations
Module 4: Identifying opportunities
Module 5: Delivering solutions
Module 6: Future directions of AI
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.
On successful completion of the course, you’ll receive a certificate from the University of Cambridge, along with valuable Continuing Professional Development (CPD) points and a digital badge to display on your LinkedIn profile. These Cambridge credentials not only showcase your knowledge and expertise, but also demonstrate your commitment to professional development – helping to future-proof your career.
This course is designed for professionals across different industries who are looking to harness the power of generative AI in their organisations.
Senior leadership and executive roles: Ideal for senior leaders and executives eager to understand the strategic implications of generative AI and how to leverage it to drive business innovation and performance.
Founders and entrepreneurs: Perfect for entrepreneurs and innovators seeking to incorporate generative AI into their business models, enhance efficiency and unlock new growth opportunities in a competitive market.
Technology and IT leadership roles: Ideal for technology and IT leaders who want to understand the practical deployment of generative AI, manage AI projects and lead the technological transformation within their organisation.
Strategy and product managers: Great for professionals driving strategic growth and product innovation, leveraging generative AI for competitive insights, effective planning and designing solutions that meet evolving market needs.
Marketing managers: Perfect for marketing managers who want to harness generative AI for data-driven insights, personalisation, content creation and to stay ahead in today’s rapidly evolving digital landscape.
Sales and client relationship managers: Ideal for customer-facing professionals looking to leverage generative AI to boost lead generation, enhance client engagement, streamline communications and drive revenue growth.
Our flexible, online courses – delivered via a world-leading learning platform – reflect the University of Cambridge experience and values, with low learner-to-tutor ratios and academically rigorous standards.
Our online learning model is designed to help you advance your skills and specialise in emerging areas that address real-world challenges. We will help you build your network through an engaging and impactful learning journey that encourages collaboration with academics and fellow learners.
Courses are delivered in weekly modules, allowing you to plan your time effectively around existing commitments. 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 exactly what’s expected of you and how to meet those expectations.
Throughout your online learning experience with Cambridge Advance Online, you’ll have digital access to a dedicated course tutor, an expert in the field, who will help steer your learning and provide you with support and guidance every step of the way.
Level of knowledge and experience
You’ll need a good level of spoken and written English to make the most of the course (we recommend English language proficiency equivalent to an IELTS score of 7).
No specific maths or computer science background needed but a degree in quantitative thinking would be beneficial.
Experience with SQL and Python is desirable but not essential.
Materials and equipment
No specialist software or IT equipment required.
Sufficient internet speed (2 Mbps up/down) for video streaming.
University of Cambridge course leads
Professor Per Ola Kristensson
Professor of Interactive Systems Engineering, Department of Engineering, University of CambridgePer 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 AssociateHenry is a globally recognised advisor, broadcaster and speaker working at the frontier of the deepfake and generative AI revolution. Since 2018, his research has transformed global understanding of generative AI. Additionally, he is an AI advisor to organisations such as Adobe, EY, Meta and the UK Government.Professor Jonathan M Cullen
Professor of Sustainable Engineering, Fellow of Fitzwilliam CollegeJonathan 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
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.

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.
Let’s keep in touch
Sign up here to receive news and updates about Cambridge Advance Online courses from us and relevant university departments.