• This training helps you understand AI terminology - from neural networks and Transformers to foundation models, LLMs, computer vision, and multimodal AI ...
• It explains the importance of data quality and lifecycle management.
• This training explores today’s practical AI: using chatbots, prompt engineering, personalization, Retrieval-Augmented Generation, and agentic workflows. 

• 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 ...

Classroom teaching, with examples and demos and plenty of room for discussion.

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.

No prerequisites are needed.

Anyone wanting to get inspired on the capabilities of Artificial Intelligence and Machine Learning.