Session 1
Introduction to LLMs: Opportunities and Organisational Readiness
This introductory session provides a clear and methodical overview of the fundamentals of LLM technology. It outlines core concepts, typical strengths and limitations, and practical business applications drawn from established industry use cases.
Viewers are guided through how to identify valuable opportunities within their own operations, ranging from near-term productivity improvements to longer-term, strategic transformation initiatives.
Who should watch
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Senior decision-makers
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Business professionals across operational, commercial and support functions
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Technical teams seeking a structured overview of LLM fundamentals
Level of experience
No prior AI expertise is required, although general familiarity with digital tools may be helpful.
You will gain
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Clear grounding in what LLMs are, how they work and where they add value
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A balanced view of risks, limitations and responsible adoption practices
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A practical framework to assess organisational readiness and prioritise use cases
Session 2
Off-the-shelf LLM Tools for Business Productivity
This practical session introduces widely available tools that can be deployed to address day-to-day business challenges with minimal development overhead. The content focuses on tactical opportunities that can be piloted quickly, enabling organisations to demonstrate early value and build internal confidence.
Supplementary resources are provided to support experimentation, testing and early-stage integration.
Who should watch
Level of experience
Familiarity with the concepts covered in Session 1 is recommended. Basic coding knowledge is useful but not essential.
You will gain
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Insight into practical, off-the-shelf LLM tools suited to short-term productivity gains
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Guidance on implementation tactics and workflow integration
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Support in identifying priority use cases and assessing readiness for deployment
Session 3
Advanced LLM Capabilities for Enhanced Decision-Making
This session examines more advanced LLM capabilities that require customised development and longer implementation timelines. The content is designed for organisations aiming to move beyond foundational applications and establish high-impact solutions that underpin core business decision-making.
Topics include:
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Semantic data enrichment and integration
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Orchestrating complex operational processes
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Advanced information retrieval and summarisation
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User interfaces for complex systems
A GitHub repository accompanies the session, providing example code and reference materials to support deeper technical exploration.
Who should watch
- Technical professionals seeking to design and implement bespoke AI solutions with tangible operational value.
Level of experience
Understanding of LLM concepts equivalent to Sessions 1 and 2 and skilled in Python.
You will gain
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Detailed knowledge of advanced LLM capabilities and architecture considerations
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Hands-on examples of techniques and tools used in bespoke development
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A structured approach to identifying high-value, advanced use cases
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Access to source code to support further experimentation and prototyping