Enabling AI in Corporates

How long does the training course last?

7,00 hours(s)

In which language(s) is the training course taught?

When will the next session take place?

Who is organising this training course?

Fondation créée en 2015 par la Chambre de Commerce et l’Association des Banques et Banquiers Luxembourg (ABBL), la House of Training est un organisme agréé de formation professionnelle continue qui s'engage à contribuer activement à la compétitivité et à l'attractivité du Luxembourg en développant les compétences de ceux qui font vivre son économie.

Who is the training course aimed at?

Managers, consultants, partners, project leaders, innovation officers, and other business enablers who are responsible for introducing and facilitating AI adoption within their organisations.

What are the aims or the skills being targeted?

Successfully integrating AI into a company goes far beyond purchasing off-the-shelf tools or deploying chatbots. True AI enablement requires a shift in organizational mindset, updated management practices, clear workflows, and the right skills across teams. This course equips participants with the knowledge and practical tools to act as “AI Enablers” within their organizations—bridging the gap between technology and business needs.

By the end of the training, participants will be able to:

Identify and evaluate organisational processes and problems that can benefit from AI-driven automation
Define methodologies and workflows for introducing AI solutions in corporate settings
Assess needs, timelines, and costs associated with AI projects
Develop the skills to act as in-house AI advocates and advisors

What does the training course cover?

1. Understanding AI: Opportunities and Challenges:Explore what AI can offer and the main challenges for businesses.
2. Types of AI Solutions: Needs and Costs:Overview of different AI options, their requirements, and cost considerations.
3. Identifying Where AI Adds Value:Learn how to spot areas in your organisation where AI can make a difference.
4. Exercise: Spotting Automation Opportunities: Practical activity using real business cases.
5. Implementing AI: Workflows and Project Scoping:How to plan an AI project: define needs, set timelines, and estimate costs.
6. Exercise - Analysing Successful Corporate AI Adoption:Review and discuss a real-world example.
7. AI Governance: Ethics, Compliance, and Responsible Use: Understand the principles of ethical and compliant AI.
8. Becoming an AI Enabler: Practical Toolkik:Tools and tips for leading AI initiatives in your company.
9. Wrap-up: Building Your Corporate AI Roadmap:Summarise key learnings and outline next steps.