Elements of AI - Demystifying the algorithms behind AI
The Digital Learning Hub offers various workshops for people who have signed up for the online course "Elements of AI" developed by MinnaLearn and the University of Helsinki.
Elements of AI is a free Massive Open Online Course (MOOC) designed to encourage a broad group of people to learn what AI is, what you can (and cannot) do with AI, and how to start developing AI methods.
The MOOC combines theoretical and practical exercises and can be taken at your own pace. Priority for this workshop will be given to participants who are registered for the MOOC.
This course breaks down the core algorithms that drive AI, making them easy to understand for beginners and Intermediate alike. From supervised and unsupervised learning to neural networks, this guide explores how AI systems learn and make decisions. Perfect for those seeking a deeper understanding of AI's mechanics without heavy technical jargon.
Content
- Introduction to AI Algorithms
- Key Types of Learning: Supervised, Unsupervised, Reinforcement
- Deep Dive into Neural Networks
- Popular Algorithms (e.g KNN, Linear Regression, K-Means)
- Practical Examples and Use Cases
- Emerging Trends in AI Algorithms
- Ethical Considerations and Limitations of AI Algorithms
Learning Outcomes
- Understand the foundational algorithms behind AI systems.
- Differentiate between types of machine learning.
- Gain insights into neural networks and their applications.
- Learn how AI algorithms solve real-world problems.
- Explore trends and ethical challenges in algorithm design.
Training Method
Interactive presentation and practical examples as well as use cases
Additional Information
This training is offered in collaboration with University of Luxembourg Competence Centre.Organised By
Digital Learning Hub Luxembourg
Certification
Participation OnlyPrerequisites
- Being registered and follow the MOOC is recommended.
- Basic familiarity with programming concepts (Python recommended).
- Understanding of basic mathematical concepts (algebra, probability).
- No prior AI experience required; beginner-friendly
Beginner to Intermediate: Designed for individuals with minimal AI knowledge but curious to understand the "how" behind AI. Advanced learners can also benefit from practical insights and simplified explanations.
Planning and location
09:00 - 13:00
ESCO Skills
Your trainer(s) for this course
