AI and Machine Learning inspire session
This one-day ABIS training introduces IT professionals, developers, data specialists, engineers, and technology managers to the essentials of Artificial Intelligence and Machine Learning. You will learn what AI, ML and Generative AI are, why they are rapidly evolving now, and how they are applied in practice. By the end of the day, you will have a solid understanding of the key concepts, technologies, and use cases that are shaping AI, and how they connect to your role in IT and data!
This training:
- Helps you understand AI terminology - from neural networks and Transformers to foundation models, LLMs, computer vision, and multimodal AI ...
- Explain the importance of data quality and lifecycle management.
- Explores today’s practical AI: using chatbots, prompt engineering, personalization, Retrieval-Augmented Generation, and agentic workflows.
Schedule a training?
Delivered as a live, interactive training: available in-person or online, or in a hybrid format.
Training can be implemented in English, Dutch, or French.
If interested in organising this training internally, get in touch with us; we can customise it to meet your specific needs.
| DEMANDER FORMATION EN ENTREPRISE |
Calendrier publique des formations
Il n'y a pas de sessions publiques à ce moment. Nous organisons volontiers un cours en entreprise ou une session publique supplémentaire (en cas d'un nombre suffisant de participants). Intéressé? Contactez-nous.
Intended for
Anyone that wants to get inspired on the capabilities of Artificial Intelligence and Machine Learning.
Background
No prerequisites.
Main topics
- Introduction
- What is AI, ML and Generative AI?
- A brief history and today’s AI evolution
- What to Expect
- AI & Machine Learning Fundamentals
- AI as a System, ML as the Engine
- Evolution of Deep Learning, Neural Networks & Transformers
- Foundation models
- Types of ML: regression, classification, clustering, supervised, unsupervised reinforcement
- Model Lifecycle
- The Critical Role of Data: types of data, data source & quality, data governance
- Practical AI Today
- Using Chatbots (ChatGPT, Copilot, Gemini, Deepseek)
- Getting Better Results: Context, roles, structured prompts
- Prompt Engineering: do’s & don’ts, templates
- Personalize Your AI: Custom GPTs, Instructions
- RAG (Retrieval-Augmented Generation) introduction: combining an LLM with your own data
- Agentic AI (Agents)
- Beyond Text: images, audio, video
- AI in Productivity Tools: Microsoft, Google, IDEs
- Hands-on Mini-Labs: summarization, brainstorming, code, presentations
- Inspiring AI Use Cases
- The impact of AI on Your Business & Society
- Benefits: efficiency, creativity, personalizatio
- Limits: bias, hallucinations, security risks
- Resources: compute, cost, energy, sustainability
- Governance: EU AI Act, transparency, IP & privacy
- Getting Ready for AI Roles
- Core Skills
- AI Practices: model lifecycle, MLOps, foundation models (fine-tuning, RAG)
- New Roles: AI app developer, data engineer, ML/MLOps engineer, governance roles ...
Training method
Classroom teaching, with examples and demos and room for discussion
Certificate
At the end of the session, the participant receives a 'Certificate of Completion'.
Duration
1 day.
Course leader
Gert Vanstapel (ABIS), Peter Vanroose (ABIS)
| INFO SESSION ET INSCRIPTION |