AI Educational Resources

Welcome to AIDA's AI Educational Resource page, thoughtfully organised based on our AI Taxonomy. The resources are divided in two main areas: AI Core Modules and Specialized AI Pillars.

From documents, lectures, presentations and video recordings, dive in the world of AI and find out more about our latest resources.

How to upload AIDA Educational Resources

AI Core Modules

1. Foundations of Artificial Intelligence
2. AI Ethics and Governance
3. AI Paradigms and Representations
4. Computer Vision
5. Deciding and Learning How to Act
6. Machine Learning
7. Natural Language Processing and Analysis

AI for Media, Society and Democracy

1. AI and Game Media
2. Human-Centered Media Analysis
3. Music/Sound Analysis and Synthesis
4. Web and Social Media Analysis/Mining

Data-Driven Learning

1. Deep learning
2. Distributed and Federated learning (ZAR)
3. Generative Artificial Intelligence
4. Machine Learning Theory
5. Reinforcement learning and Sequential Decision-making

Human-Centric AI

1. Explainable AI
2. Human-centered Machine Learning

Integrating Approaches for Trustworthy AI

1. Foundations of Trustworthy AI
2. Reasoning and Learning in Social Contexts

AI Core Modules

1. Foundations of Artificial Intelligence

2. AI Ethics and Governance

3. AI Paradigms and Representations

4. Computer Vision

5. Deciding and Learning How to Act

6. Machine Learning

7. Natural Language Processing and Analysis

AI for Media, Society and Democracy

1. AI and Game Media

2. Human-Centered Media Analysis

3. Music/Sound Analysis and Synthesis

4. Web and Social Media Analysis/Mining

Data-Driven Learning

1. Deep learning

2. Distributed and Federated learning (ZAR)

3. Generative Artificial Intelligence

4. Machine Learning Theory

5. Reinforcement learning and Sequential Decision-making

Human-Centric AI

1. Explainable AI

2. Human-centered Machine Learning

Integrating Approaches for Trustworthy AI

1. Foundations of Trustworthy AI

2. Reasoning and Learning in Social Contexts

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AI Core Modules

1. Foundations of Artificial Intelligence

2. AI Ethics and Governance

3. AI Paradigms and Representations

4. Computer Vision

5. Deciding and Learning How to Act

6. Machine Learning

7. Natural Language Processing and Analysis

AI for Media, Society and Democracy

1. AI and Game Media

2. Human-Centered Media Analysis

3. Music/Sound Analysis and Synthesis

4. Web and Social Media Analysis/Mining

Data-Driven Learning

1. Deep learning

2. Distributed and Federated learning (ZAR)

3. Generative Artificial Intelligence

4. Machine Learning Theory

5. Reinforcement learning and Sequential Decision-making

Human-Centric AI

1. Explainable AI

2. Human-centered Machine Learning

Integrating Approaches for Trustworthy AI

1. Foundations of Trustworthy AI

2. Reasoning and Learning in Social Contexts