Next-Gen AI Assistants
Course Description
AI assistants powered by generative models are rapidly reshaping how individuals and organisations create content, manage information, and automate everyday tasks. This course provides a practical and accessible introduction to next-generation AI assistants, with a strong focus on real-world applications rather than technical theory.
Designed for non-technical professionals, the module explains how generative AI works in clear, non-jargon terms and explores its capabilities, limitations, and common misconceptions. Participants will experiment hands-on with modern AI assistants to produce documents, presentations, images, and web content, while learning how to critically assess AI-generated outputs and use them responsibly.
The course also introduces no-code automation through workflow tools, enabling participants to design simple AI-powered processes that improve efficiency and reduce repetitive work. Ethical considerations, responsible usage, and sustainability are woven throughout the programme to ensure that AI adoption supports organisational goals while respecting human judgment and accountability.
By the end of the course, participants will be equipped to confidently integrate AI assistants into their daily work, identify high-value use cases, and contribute to informed, ethical AI adoption within their organisations.
Course Content
Day | Content |
1 | Introduction to Generative AI: Concepts, capabilities, limits, and misconceptions. How LLMs work explained simply. |
2 | Hands-on exploration of modern assistants (ChatGPT, Claude, Gemini). Creating documents, presentations, images. |
3 | Workflow automation with n8n: Connecting data sources, triggering tasks, designing pipelines. |
Learning Outcomes
- Understand the fundamentals of generative AI and modern AI assistants
- Identify practical use cases that increase productivity across sectors
- Learn to evaluate AI-generated outputs critically and responsibly
- Build simple automation workflows using no-code tools (n8n)
Practical Work:
- Hands-on exploration of modern AI assistants (ChatGPT, Claude, Gemini, open-source tools)
- Creating documents, presentations, images, and webpages using AI
- Building a person AI-powered productivity toolkit
- Introduction to workflow automation with n8n (no-code)
Deliverables
- A customised AI-generated workflow (via n8n) automating at least one organisational task
- A set of best practices for responsible and effective use of AI assistants.
Target Audience:
Non-technical professionals from public or private organisatiosn, including managers, communication specialists, project coordinators, and anyone wishing to apply AI in a day-to-day work without coding.
No prerequisites
Trainer
Yann-Aël Le Borgne is a machine learning and AI expert working as an independent consultant, instructor, and AI engineer with the AI Coordination Team at Université Libre de Bruxelles (ULB). He brings over 15 years of experience in applied machine learning research, with a strong focus on real-world application in environmental monitoring, fraud detection, genomics, and mobility, helping public organizations translate advanced AI methods into practical and responsible solutions.
Price
Thanks to the support of the European Commission and Innoviris in the framework of the EDIH sustAIn.brussels, SMEs and midcaps receive this training free of charge (0€), in the context of de minimis aid. Large companies and participants without a company pay 3 915,09€ per participant.
Practical Information:
Language : English (Bilingual exchanges FR/EN welcome)
Location: BeCentral, Cantersteen 12, 1000 Brussels.
Format: In person, interactive, hands-on.
Participants: Max 18 participants.
Duration: 12 hours (over 3 days)
Questions:
Yavuz Sarikaya - Programme Manager