Frequently Asked Questions

Generative AI is a type of artificial intelligence that creates new content, like text, images, music, or data on its own. Unlike traditional AI, which follows set rules or relies heavily on training data, generative AI learns patterns from existing data and uses them to produce original, often realistic results. It's used in many areas, such as content creation, improving data, and solving business problems.

Generative AI is reshaping how organisations innovate and operate. This course is designed to equip professionals with the knowledge and tools needed to effectively apply generative AI in real-world business settings.

  • Learn the core concepts and high-level principles of generative AI.
  • Understand the benefits, risks, and challenges of using generative AI in organisations.
  • Explore practical methods for applying AI across different business contexts.
  • Stay updated on fast-moving AI trends and learn how to evaluate emerging solutions.
  • Create a strategic plan for AI integration with guidance from expert tutors.

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

  • Explain key concepts: Understand the differences between generative AI, LLMs, machine learning, neural networks, and related technologies.
  • Analyze business applications: Evaluate the suitability of generative AI for specific business scenarios by considering benefits, value propositions, challenges etc.
  • Articulate implementation steps: Outline the necessary steps to integrate Gen AI into your operations, highlighting key points and decisions at each stage of the process.
  • Identify and evaluate risks: Recognize potential risks associated with AI adoption in business settings and assess their implications.
  • Design people-centered processes: Develop frameworks for applying Gen AI that prioritize human-centric approaches with organizational culture and employee needs.
  • Evaluate future applications: Assess the potential impact of emerging AI developments in your organization 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.

Please find more details about the program mentors here

You might find the course valuable if you are:

  • Senior leaders who want to use AI to drive innovation and improve business outcomes.
  • Strategy and product managers looking to make smarter, data-driven decisions with AI.
  • Marketing managers who aim to enhance personalization and content creation using AI.
  • Sales and client managers focused on boosting lead generation and client engagement through AI.
  • Technology and IT leaders who want to lead AI projects and drive digital transformation.
  • Founders and entrepreneurs seeking to increase efficiency and explore AI-driven growth.

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

Eligibility and Selection Process

Candidates will be chosen based on the educational qualifications and work experience provided in the application.

  • Education: Graduates / Post graduates in any discipline with min. 50% marks.
  • Experience: Professionals with a minimum 1 year of work experience can apply.

You can enrolment for the GenAI course by following the below steps:

  • Share your details and apply for the course through the page
  • Pay the application fee
  • Submit all the necessary documents
  • Await confirmation to join the cohort
  • Pay program fee
  • Complete the enrolment process

Course Content

You can see the curriculum content here

Module 0 is a bridge module for the cohort that starts 1 week before the actual cohort start date. Please note Module 0 will only be available in the Canvas LMS, 1 week before the cohort start date.

During your online learning journey, you will have the valuable opportunity to engage with dedicated course mentors. You can easily interact with your mentors through various mediums, including live sessions, discussion forums, or the Canvas messaging system.

Live session dates and times for each course are as follows. Please note while these sessions are not mandatory, we highly recommend that you attend them to take maximum learning from the programme.

The Live sessions are subject to changes in timing and cancellation, prior notice will be provided about the same.

Course Usual day & time (UK time) Usual day & time (India time)
Generative AI in Business Fridays at 2pm Fridays at 7:30pm

Schedule and Details

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

The course will be delivered on online platform from Cambridge Advance Online - Canvas

The cohort will begin on 21st July 2025 and the enrollments will close on 14 July 2025.

This course is designed to offer a flexible, engaging, and practical learning experience that fits around your schedule. With a focus on real-world application, you'll gain valuable skills supported by expert guidance from University of Cambridge academics.

  • Learning Format: Online weekly modules with optional 1-hour live sessions led by Cambridge academics. All sessions are recorded for on-demand access.
  • Case-Based Learning: Includes interactive elements like videos, quizzes, and group work to support practical, scenario-based learning.
  • Real-World Applications: Course content is tied to real-life business contexts, helping you apply concepts directly to your own work environment.
  • Support and Interaction: Access to a dedicated tutor for support, with multiple ways to engage—live sessions, forums, email, and messaging.

Participants can access the LMS for six weeks following the conclusion of the course.

Programme Fee

For programme fee-related details, please visit fee page

Yes, we offer flexible EMI options that allow you to pay the program fee in installments. To learn more, please contact your Relationship Manager or visit this page.

Refunds and Deferment

No, the application fee is non-refundable & non-transferable.

The fee is refundable, provided the candidate notifies the TalentSprint team prior to the commencement of the cohort.

Participants may request a deferment up to the halfway point of the course. Once Module 4 starts, deferments will not be possible. Approved deferments will only be applicable to the immediately following cohort.

Extensions may be granted at the discretion of the tutors, who will review and handle such requests on a case-by-case basis.

Enrolment will remain open one week prior to the cohort start date.

Assessment, Certification & Completion

Your performance will be evaluated through assignments, quizzes, and practical projects designed to reinforce your understanding of generative AI concepts.

Yes, the assessment criteria are shared upfront, giving you clear guidance on what is expected. This helps you stay focused and understand how to succeed throughout the course.

Yes, the program includes a final project to evaluate your comprehensive understanding and practical application of the course material.

Yes, you will receive personalized feedback on your assignments to help you gauge your progress and areas for improvement.

You will have access to recorded sessions and resources to catch up, ensuring you complete the program at your own pace within the stipulated time frame.

Absolutely! You can showcase your Certificate of Achievement from Cambridge on your LinkedIn profile and resume to highlight your expertise.

Yes, learners who successfully complete the program will receive a digital Certificate of Achievement from Cambridge University, along with a shareable digital badge that can be showcased on LinkedIn and other professional platforms.

  • Certificates will be issued by the Cambridge Advance Online within two weeks of course completion, subject to your successful completion of the course.
  • Only digital certificates will be provided, with download and sharing instructions available on the LMS.
  • Participants granted extensions will receive their certificates upon fulfilling all completion requirements.

No, the certificate will be provided as a digital copy, which you can download and share online.

Yes, only learners who meet the program requirements and successfully complete the assessments will receive the certificate.

Absolutely! You can add the certificate to your LinkedIn profile to highlight your accomplishments and skills.

Yes, as a program graduate, you will gain access to the exclusive LinkedIn alumni group to network with fellow learners and industry experts.

Platform and Support

Yes, participants are required to have their laptops to access the course online.

For best performance, Instructure products should be used on the current or previous major releases of Chrome, Firefox, Edge, or Safari. Because Instructure products are built using web standards, Instructure products run on Windows, Mac, Linux, iOS, Android, or any other device with a modern web browser.

Instructure products require an operating system that can run the latest compatible web browsers. Your computer operating system should be kept up to date with the latest recommended security updates and upgrades.

Internet Speed

  • Along with compatibility and web standards, Studio has been carefully crafted to accommodate low bandwidth environments
  • Minimum of 512kbps

For general support, please submit your request via our contact form. This ensures it reaches the correct support team. Our technical support team is available Monday to Friday, from 9 am to 9 pm (UK time), and will respond as soon as possible.

We recommend visiting our Help Centre, which offers a wide range of FAQs on topics such as course access and technical troubleshooting. You can access it here: Help Centre

If you have questions related to course content or academic matters, please reach out to your course tutor directly through the Canvas platform.

You can still submit your support request via the contact form, and the team will get back to you as soon as they resume operations. Additionally, you may find immediate help by browsing the Help Centre.

Policies

To know more about terms of purchase here - https://advanceonline.cam.ac.uk/terms-of-purchase

To know more about course policies here - https://advanceonline.cam.ac.uk/policies