Over 96% of participants from the September 2023 cohort rate their course good or excellent

Generative AI in Business

This course equips you with essential principles and techniques to harness the full potential of generative AI in a business context.

  • Duration

    6 weeks

  • Commitment

    6-8 hours per week

  • Price

    US$2,550

  • Study mode

    Tutor guided

  • Certificate of Achievement

    Evidence your learning with a Certificate of Achievement from the University of Cambridge on successful completion

    • Start

      15 July 2024

    • Finish

      26 August 2024

    • Enrol by

      08 July 2024

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Course overview

This comprehensive course empowers learners to strategically integrate generative AI into organisational frameworks. Covering the fundamentals of generative AI, the programme explains high-level principles and teaches learners to identify the benefits while navigating potential challenges and risks. With a focus on diverse organisational contexts, participants learn essential principles and proven methods for effective implementation. The course emphasises staying abreast of rapid AI evolution, imparting expertise in solution evaluation and techniques for anticipating next-generation advancements. Throughout the programme, learners progressively develop a strategic deployment plan for generative AI within organisations. They benefit from dedicated tutor support and engaging live sessions with leading academics in the field, ensuring an interactive learning experience. 

What will I learn?

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.

Who is this course for?

You might find the course valuable if you are a: 

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

Course delivery

Our certificated 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. 

What will I get on completion?

Evidence your learning with a Certificate of Achievement from the University of Cambridge on successful completion

Course dates

  • 2024

    22 Apr - 03 Jun

    Enrolment ended

  • 2024

    15 Jul - 26 Aug

    Places available

    Enrol by 08 Jul

Requirements

Level of knowledge

  • no specific maths or computer science background needed 
  • a degree in quantitative thinking would be beneficial 
  • a level of spoken and written English sufficient to allow you to participate and succeed in the course (we recommend that you have an English Language level equivalent to an IELTS score of 7, as outlined in section 5 of our Terms of Purchase (Opens in a new window)).

Materials & equipment

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