Implementing Generative AI: Unlock Value Creation

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Implementing Generative AI: Unlock Value Creation

Feel the impact

Master Generative AI in practice

Unlock strategic value with Generative AI through practical insights, risk-aware planning, and preparing for effective enterprise adoption.

Good for you
Good for your organisation

Gain a broad, pragmatic understanding of Generative AI, including the underlying technology and different implementation patterns used by today’s businesses.
Identify opportunities and risks that arise while attempting to create value with Generative AI and whether they align with your goals.
Explore the possibilities of Generative AI as a horizontal collaborator, as you learn how to foster an efficient culture of experimentation and adoption.

Gain a deep understanding of the ways novel, complex tasks can be performed by vertical AI systems and plan how they can apply to your business.
Understand how to execute the full lifecycle of Generative AI initiatives effectively and responsibly, from planning through to post-deployment.

Right for you

The course is designed for professionals seeking to leverage Generative AI for business value. These leaders will be delegated with improving performance within their functional area, expected to communicate effectively with stakeholders, and be able to address key challenges in AI implementation.

years

of management experience

years

of work experience

This includes, but is not limited to:

Team leaders and managers
Middle management executives
Mid-career executives aiming to progress

Curriculum

Prepare for the future

Explore the Generative AI landscape, learn how to design effective, responsible AI solutions that drive real value within your organisation.

What you learn
How you learn
Your learning experience

What Generative AI is, practical use cases, and how you can harness it to create sustainable value for your business along with practical methods of identifying, applying and adapting your learnings to lead current and future teams.

Predictive AI: The course covers predictive AI as a precursor to generative AI. It discusses two main paradigms: supervised learning, where algorithms learn from labelled data to classify objects or make predictions, and reinforcement learning, where algorithms learn through experimentation to maximise a cumulative reward.

Generative AI: This is a core focus of the course. It explains that the goal of generative AI is to generate new content, such as text, voice, code, pictures, or video. It specifically delves into how large language models (LLMs) work by predicting the next word or "token" in a sequence.

Agentic AI: The course introduces agentic AI as a more advanced form of AI that is designed to be autonomous and proactive. It explores how agents receive a goal and independently figure out how to achieve it, including planning steps, selecting tools, and executing actions.

Prompt Engineering: The course dedicates an entire section to prompt engineering, defining it as the foundational skill of giving generative AI good, clear instructions to get better outputs.

How the technology underlying generative AI works and its trajectory in the short- and medium-term.
The benefits and limitations of generative AI as both a horizontal and vertical collaborator. The course differentiates between horizontal and vertical AI too.
How to mitigate the risks, maximise the benefits of generative AI, and understand its broader strategic implications.

Experts in the field

Absorb the experience and passion of our faculty, who combine academic research and real-world business expertise.

Certificate in Management

This programme can also be taken as part of the Certificate in Management. Enhance your leadership approach, hone your business skills and curate your own curriculum with a blend of online and in-person learning.

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