Advanced AI: Prompt Engineering and Enterprise Strategy

An advanced programme for teams with the basics in place: multimodal work, a corporate prompt library, connecting to automation, and a rollout strategy.

Duration: 2 days
Format: On-site / Online
Level: Advanced
Category: Artificial Intelligence

Organisations that have solved individual use get stuck turning it into an organisational capability. This programme treats prompt design as an engineering discipline and usage as a measurable corporate strategy.

Who it is for

Professionals who have mastered basic AI use and want to go deeper
Teams responsible for AI transformation inside the organisation
Managers about to run a pilot in their own department

By the end of this programme

Select and combine advanced prompt patterns by purpose
Work multimodally with images, audio and documents
Build a versioned, organisation-specific prompt library
Balance model choice and cost against the nature of the task
Measure output quality and improve it over time
Write an internal rollout plan

Programme content

Advanced prompt patterns

Step-by-step reasoning, role stacking, constraint definition, teaching by example and binding output to a schema.

Multimodal work

Working with images, audio and screenshots; reading documents and tables; checking accuracy on mixed input.

Working with long documents

Splitting large documents, the logic of retrieval-augmented generation, and approaches to connecting a corporate knowledge base.

The corporate prompt library

Template structure, versioning, sharing and ownership; building a common language across departments.

Model selection and cost

Which task needs which class of model, the speed–quality–cost balance, and managing the usage budget.

Connecting to automation

Wiring repetitive work through APIs, integration tools and workflow platforms.

Evaluation and quality measurement

Output scoring criteria, comparative testing and a control routine that catches drift.

Risk, copyright and regulation

Data privacy, copyright limits, data-protection obligations and writing the internal usage policy.

A usage map per department

Drawing up and prioritising concrete scenarios for marketing, HR, finance and operations.

The rollout plan

Pilot selection, internal champions, the training cycle and defining success measures.