Artificial Intelligence (AI) for Business & Government + Examen [NLAIC-AI4B]
Dates et lieux de début
computer En ligne: VIRTUAL TRAINING CENTER 14 juil. 2025 jusqu'au 16 juil. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 13 août 2025 jusqu'au 15 août 2025check_circle Date de début garantie |
computer En ligne: VIRTUAL TRAINING CENTER 3 sept. 2025 jusqu'au 5 sept. 2025check_circle Date de début garantie |
computer En ligne: VIRTUAL TRAINING CENTER 16 sept. 2025 jusqu'au 18 sept. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 6 oct. 2025 jusqu'au 8 oct. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 29 oct. 2025 jusqu'au 31 oct. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 10 nov. 2025 jusqu'au 12 nov. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 17 nov. 2025 jusqu'au 19 nov. 2025 |
computer En ligne: VIRTUAL TRAINING CENTER 1 déc. 2025 jusqu'au 3 déc. 2025 |
Description
Vrijwel iedere training die op een onze locaties worden getoond zijn ook te volgen vanaf huis via Virtual Classroom training. Dit kunt u bij uw inschrijving erbij vermelden dat u hiervoor kiest.
OVERVIEW
De Nederlandse AI Coalitie (NL AIC) heeft een standaard ontwikkeld voor werkende professionals welke gebruik willen maken van Artificial intelligence (AI) in hun zakelijke omgeving. De cursus Artificial Intelligence (AI) For Business + Examen zal een solide basis bieden over AI good practices en het vaststellen van een gemeenschappelijke taal zal resulteren in aanzienlijke voordelen.
The Netherlands AI Coalition (NL AIC) has developed a standard for working professionals who want to use Artificial Intelligence (AI) in their business environment. The Artificial Intelligence (AI) For Business + Exam course will provide a provide a solid foundation on AI good practices and establishing…
Foire aux questions (FAQ)
Il n'y a pour le moment aucune question fréquente sur ce produit. Si vous avez besoin d'aide ou une question, contactez notre équipe support.
Vrijwel iedere training die op een onze locaties worden getoond zijn ook te volgen vanaf huis via Virtual Classroom training. Dit kunt u bij uw inschrijving erbij vermelden dat u hiervoor kiest.
OVERVIEW
De Nederlandse AI Coalitie (NL AIC) heeft een standaard ontwikkeld voor werkende professionals welke gebruik willen maken van Artificial intelligence (AI) in hun zakelijke omgeving. De cursus Artificial Intelligence (AI) For Business + Examen zal een solide basis bieden over AI good practices en het vaststellen van een gemeenschappelijke taal zal resulteren in aanzienlijke voordelen.
The Netherlands AI Coalition (NL AIC) has developed a standard for working professionals who want to use Artificial Intelligence (AI) in their business environment. The Artificial Intelligence (AI) For Business + Exam course will provide a provide a solid foundation on AI good practices and establishing a common language will result in significant benefits.
OBJECTIVES
- Appreciates what AI is, why it is important now and what benefits it brings
- Is aware of fundamental concepts such as robotics, algorithms and machine learning approaches
- Is aware of how to organize a team for AI, approaches and common tools required
- Understands the dependence AI has upon data and how to manage data for AI
- Is aware of how to assess risks and ethical dilemmas for Trustworthy AI
- Can describe how humans and machines will coexist in an organization
- Is aware of the future directions of AI
AUDIENCE
The AI for Business training is aimed at executives, managers and professionals who wish to progress beyond basic awareness to acquire an understanding of what AI is, how it works and where it can be applied – including both benefits and risks.
It is therefore ideal for people for whom the concept of AI is relatively new and who wish to become competent in AI, are considering becoming involved in the application of AI or who must make informed decisions about the application of AI in their business domain.
CONTENT
Section 1: AI Fundamentals
1. Applications of AI and their benefits
Describes a range of applications of AI, how they impact organisations & society, what value they create and their underlying use of data, algorithms and learning approaches. Describes the role of the NL AIC in promoting the beneficial and ethical use of AI. Includes examples of key domains such as classification systems, forecasting, cluster analysis, voice, image and natural language processing.
2. Data, Robots and Artificial Intelligence including definitions
This sets out a common vocabulary around data, data science, algorithms, human logical thinking versus intelligent agents and provides definitions for key items. Describes Intelligent Agent types, robotics and agent models.
3. Predictions, Algorithms, Machine and Deep Learning
Introduces the different levels of predictions, an overview of
the key algorithms and the learning approaches. Highlights
which types of algorithms address which types of
problems.
Section 2: Applying AI in practice
4. Building and assessing an AI application
Describes a basic approach towards building a simple AI application. The CRISP-DM method is described highlighting the steps involved and raising awareness of the business context and trustworthiness assessment at each step. Highlight pitfalls including overfitting, underfitting and bias. Addresses need for innovation and creativity including team organisation.
5. Managing Data for AI
Raises awareness of the dependence upon data and how to acquire, prepare, manage and provide and scale data for AI applications. Addresses the role of the cloud for managing data and processing capability. Emphasise the risks that arise in data and impact on trustworthiness.
Section 3: Ethics, Trustworthiness and Human Machine Coexistence
6. Ethics, Risks and
Trustworthiness
Addresses the risks and ethical dilemmas associated with AI including the need for explainable AI. Introduce EU Ethical Guidelines and the need to maintain the trust of society in the use of AI.
7. Human and Machine Coexistence
Covers the combination of human and machine capability in an organisation addressing question of whether AI will replace humans (singularity). Includes key roles of business management, domain expertise, analytics and data managers, and how these roles work together.
Section 4: Future developments of AI
8. The future developments of AI
Highlight future directions and applications of AI.
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