AI & Agents Enabled Professional (Elearning)

Success in the AI era requires new AI skills! This learning path is next level and your transformation to reskill yourself in AI.

The skills that helped you in the past are no longer sufficient to succeed in a world of AI. But how do you prepare for our AI-driven world?

We have developed an advanced package of AI learning paths that provides you with the new AI and data skills you need to succeed. This is an investment in yourself: a way to reskill for an AI-driven future.

This package includes:

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• AI and Data Driven Business Model
  Understand why data has become so important and discover the AI-driven business model.
  
  
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• AI Coalition for NL “BREVET”, including certification voucher
  Acquire a solid foundation in AI, covering algorithms, machine learning, neural networks, and language models.
  
  
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• Generative AI Foundation: MCP, RAG & Building Agents
  Learn how to develop AI Agents and apply Agentic AI.
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You follow these learning paths in sequence and take the AI Coalition exam to obtain the professional certification.

This e-learning is designed for professionals seeking maximum flexibility who want to learn how to apply AI and intelligent agents practically, without requiring any prior technical or programming knowledge. It is ideally suited for:

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  Professionals and Managers in business, marketing, operations, and HR.

  
  
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  Consultants and Advisors guiding organisations through AI transformations.

  
  
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  Product Owners, Project Managers, and Team Leads directing innovative AI projects.

  
  
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  Policy Makers and Professionals in knowledge-intensive roles.

  
  
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  Anyone looking to understand and deploy AI and autonomous workflows within their role.

  
  
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This is, however, an advanced programme in Generative AI. It requires proficiency in prompting and an understanding of how LLMs work, as well as some technical insight into how ICT applications are developed.

The primary goal of this combined learning path is to equip you with the essential skills and knowledge needed to apply AI effectively, strategically, and responsibly across various business environments.

Upon completion of this programme, you will be able to:

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• Demystify AI: explain what AI is, how data, algorithms, and models function, and recognise their opportunities and limitations.
  
  
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• Stimulate AI- and data-driven decision-making: apply AI- and data-driven thinking to organisational strategy and decision-making, and break through traditional operational silos.
  
  
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• Understand and build AI models: apply core AI concepts and take your first practical steps in automated machine learning.
  
  
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• Master professional prompting: effectively steer generative AI tools to produce high-quality business content, such as text, images, video, and automated reports.
  
  
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• Design, build, and test AI agents: recognise and evaluate the role and application of autonomous smart agents within business workflows.
  
  
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• Manage risks and ethics: critically interpret AI output and assess it against data privacy, ethical frameworks, bias, and transparency standards, including the EU AI Act.
  
  
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• Shape AI strategy: identify AI opportunities, prioritise business use cases, and translate insights into concrete action points to embed AI in your daily operations.
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The e-learning approach provides a complete programme, including the use of our AI Playground, and allows you to learn the theory anywhere and at your own pace. This programme is “next level” because it includes building Agents in tools such as Copilot Studio, Azure, or our AI Playground.

This learning path consists of:  

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• 3 x eLearning consisting of a series of multi-media micro-learnings
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• exam voucher for AIC4NL AI BREVET
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• access to our AI playground in which you build your first AI models and can practice prompting
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• quizzes to test your knowledge
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• support via our AI 'learning buddy' to experience an Agent helping you
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• examples of advanced agents including our EU AI Act Buddy  
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Deze training is een e-learning met de aangegeven studietijd. Deze e-learning kan ook blended worden gevolgd, waar je naast de e-learning ook een klassikale sessie van een dag volgt.

This online programme is modularly structured and consists of three interconnected learning pathways that take you step-by-step from data-driven thinking to independently designing smart AI agents.

1. Data Driven Foundation (E-learning)

In this initial phase, you lay the strategic foundation for data- and AI-driven operations within organisations.

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  Fundamental Transformation: Insight into how data and AI profoundly change organisations and enable new business models.

  
  
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  Process Optimisation: Transforming existing processes and effectively breaking through traditional ways of working and deciding.

  
  
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  Data-Driven Thinking: Concretely applying data-driven principles to organizational strategy, daily processes, and management decisions.

  
  
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2. AI “Brevet” NL AIC (E-learning) – Including Exam Voucher

In this core module, you learn how AI actually functions under the hood and how to deploy this technology responsibly.

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  AI Concepts & Models: A clear explanation of machine learning and Large Language Models (LLMs).

  
  
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  Practical Model Building: Building your first AI models yourself using automated machine learning.

  
  
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  Governance & Ethics: Extensive focus on privacy, data protection, legal regulations (such as the EU AI Act), and human-AI collaboration.

  
  
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  BREVET Exam (Online, 1 hour): You conclude this section with an official online exam via Van Haren to certify your foundational AI knowledge according to recognized standards.

  
  
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3. Generative AI Foundation MCP, RAG & Building Agents (E-learning)

The final module focuses entirely on the advanced and professional use of generative AI and autonomous systems.

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  Advanced Generative AI: Working with tools like ChatGPT at an advanced level and applying in-depth prompting strategies.

  
  
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  Intelligent AI Agents: Designing, understanding, and applying autonomous AI agents and agent architectures within a professional context.

  
  
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  RAG Systems & Workflows: Introduction to and application of Retrieval-Augmented Generation (RAG) and automating complete workflows using agents.

  
  
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  Practical Translation: Directly applying agents and generative AI within your own specific work context.

  
  
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