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Technology Knowledge Sessions

Explore AI, connected technologies and governance through practical Beginner, Intermediate and Advanced sessions. Choose a subject or discover something new.

Beginner — Build a clear foundation.

Intermediate — Connect the components and controls.

Advanced — Examine architecture and deployment choices.

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17 sessions

Beginner session

Agentic AI versus an AI agent

Separate a system design approach from an individual agent, and understand where workflows, tools and autonomy fit.

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Intermediate session

Cybersecurity versus AI governance

See how protecting systems and governing AI decisions overlap while addressing different risks, owners and evidence.

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Intermediate session

Digital twins and predictive analytics

Compare a connected representation of an asset with a prediction, and see why dependable data and validated assumptions connect the two.

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Advanced session

How can a drone be dispatched autonomously?

Explore the architecture of event-triggered drone missions, including preflight checks, supervision, authorisation and safe failure behaviour.

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Beginner session

IoT and IIoT: what is the difference?

Compare connected devices with industrial connected systems, including reliability, operational technology and the consequences of failure.

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Intermediate session

LAM versus LLM

Understand language generation, action selection and why an action-capable system still needs tools, permissions and verification.

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Beginner session

SLM versus LLM

Compare smaller and larger language models through task quality, deployment constraints, latency and cost instead of labels alone.

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Intermediate session

The components of an AI system

Explore how models, retrieval, tools, state, orchestration and review controls work together in a practical AI application.

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Intermediate session

What are AI guardrails?

Understand input, output and action checks, their limitations and their place alongside permissions and human approval.

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Beginner session

What is Agentic AI?

Learn how goal-directed AI combines models, tools and feedback to support work across several steps, with clear limits and human oversight.

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Beginner session

What is AI governance?

Explore ownership, acceptable use, evidence, evaluation and human oversight throughout an AI system’s life cycle.

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Beginner session

What is big data?

Understand data volume, speed and variety, and why trustworthy analytics depend on quality and ownership rather than size alone.

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Beginner session

What is Generative AI?

Understand how generative models produce text, images and other content, and why a useful draft still needs evidence and review.

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Intermediate session

What is MCP?

Learn how the Model Context Protocol connects AI applications with tools and data, and which security responsibilities remain with the application.

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Intermediate session

What is RAG?

Follow retrieval-augmented generation from document preparation to a grounded answer, including access control and source verification.

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Advanced session

What is vLLM?

Distinguish the vLLM inference and serving engine from a language model, and identify the deployment questions that determine its usefulness.

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Intermediate session

When does CCTV become AI video analytics?

Follow the path from a camera stream to model inference, reviewable events and operational alerts, including accuracy and privacy limits.

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