AI for ICT Professionals & analysts (EN)

Between ‘we have a problem’ and ‘this is the right solution’ lies an invisible marathon, and as an analyst, you run it time and time again.

In AI for Analysts, we take the analyst life cycle as our starting point and show, step by step, where AI can support you: processing input faster, introducing structure, developing deliverables and testing solutions. The course focuses on hands-on workflows and recognisable use cases, so that you can apply the approach straight away in your day-to-day projects.

21/10/2026 +7 dates disponibles
1 jour
English
- English
- Nederlands
LCL101EN0007 € 0,00

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Sessions

Training Objectives

You recognise the key AI capabilities and apply them where they effectively add value.
You write more effective prompts to generate better results.
You speed up documentation and modelling, such as user stories, UML diagrams and code-to-documentation.
You can validate ideas more quickly using wireframes, prototypes and test cases.
You’ll make better-informed design choices thanks to AI support for option analysis, API design and automated documentation.

Program

Generative AI

In this section, you will explore generative AI, the technology behind tools that can create text, images, and other forms of content. It covers how these tools work, how they can be used in a practical way, and how to apply them effectively and responsibly in a professional context.

Implementing AI with real impact

In this section, you will explore how to integrate AI into business operations in a structured and strategic way. It focuses on moving beyond isolated experiments by embedding AI across the key pillars of an organisation: technology, people, and processes, in order to create sustainable and meaningful impact.

AI Capabilities

In this section, you’ll gain a clear overview of the key AI capabilities for analysts. We’ll explore how AI can perceive, understand, analyse and generate information, and how these capabilities come together in practical applications such as copilots and integrated workflows. The focus is on what works, when to use it, and what benefits it brings to your day-to-day analytical work.

Foundations for Analysts Using AI

In this section, you will learn the basics of using AI effectively as an analyst. We will cover how prompting influences your output, how to choose the right model for different tasks, and how AI fits into the analyst’s workflow. The focus is on practical decisions and consistent application in your day-to-day work.

Core Analyst Tasks Enhanced by AI

In this section, we apply AI to the core of an analyst’s work, starting with the analyst lifecycle. We demonstrate how AI supports the collection and processing of input from interviews, workshops and documentation, for example by transcribing conversations, summarising them and clustering insights. You will see how AI helps to create user stories and models (including sequence diagrams, use case diagrams and ArchiMate) more quickly and consistently, and how existing systems or code can be converted into comprehensible documentation.
In addition, we focus on testing and refining insights and solutions. You will learn how AI can be used to generate wireframes, mock-ups and prototypes, compare different solution options and draw up test cases to validate assumptions more quickly.
Finally, we will look at how AI provides support in developing the right solution to the problem through, among other things, option analysis and API design.