AI Basics / Essentials eLearning – Inclusief examen
Ontdek AI zonder voorkennis met deze 24-uurs eLearning: leer fundamentals, machine learning en ethiek, en bereid je voor op het AI Basics-examen van AIC NL.
Deze 24-uurs eLearning-cursus biedt een uitgebreide introductie tot Kunstmatige Intelligentie (AI), inclusief de basisprincipes, toepassingen en ethische overwegingen. De training richt zich op AI-fundamentals, databeheer, machine learning en het ontwikkelen en beoordelen van AI-oplossingen. De cursus is geschikt voor professionals zonder AI-ervaring en bereidt deelnemers voor op het AI Basics-examen van de AI Coalition (AIC NL). Dit examen is inbegrepen in de cursusprijs.
Duur: 1 dagen
- The target audience for the AI Basics Certification and the related 24-hour eLearning course includes:
- Business Professionals – Managers, executives, and decision-makers who want to understand AI's impact on business operations and strategy.
- IT and Technology Professionals – Individuals working in IT, software development, or data management who need a foundational understanding of AI concepts.
- Entrepreneurs and Startups – Business owners looking to leverage AI for innovation and efficiency.
- Government and Policy Makers – Professionals responsible for regulatory and ethical considerations of AI implementation.
- Students and Career Changers – Individuals exploring AI as a potential career path or looking to upskill.
- This course is ideal for those with little to no prior AI experience who want to grasp the fundamentals and practical applications of AI in various industries.
- Understanding AI Fundamentals – Explore the key differences between human and artificial intelligence, the role of AI in the 4th industrial revolution, and the evolution of AI technologies.
- Data Management for AI – Learn about different data types, data privacy concerns, and how structured data plays a critical role in AI applications.
- Ethics, Risks, and Trustworthiness – Examine ethical challenges, EU AI regulations, and best practices for ensuring transparency and trust in AI systems.
- AI Algorithms & Machine Learning – Gain insights into AI predictions, machine learning models, deep learning techniques, and how different algorithms are used for problem-solving.
- Building and Evaluating AI Solutions – Understand the CRISP-DM methodology, AI project workflows, and the steps to assess AI reliability in a business setting.
Inhoud
CONTENT
- Introduction to AI Basics
- Ethical and Sustainable Human and Artificial Intelligence
- AI Benefits, Challenges and Projects
- Machine Learning (ML) Toolbox – Theory and Practice
- Agile Working and The Future of Human and Machine collaboration
- AI Basics Wrap Up
- Trial Exam

€ 715,00

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