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Advanced AI Literacy

How AI actually works under the hood. Neural networks, ethics, safety, and the future.

3 modules
15 topics

What You Will Cover

Module 18 topics

How AI Actually Works

A deeper dive into neural networks, transformers, training, and why AI sometimes gets it wrong.

  • Neural networks explained visually
  • How large language models work
  • Training: datasets, compute, RLHF
  • Open-source vs. closed-source models
Module 28 topics

AI Ethics, Safety & Responsibility

Bias, deepfakes, jobs, privacy, regulation — the conversations everyone should be having.

  • Bias in AI: causes & consequences
  • Deepfakes & detection tools
  • AI and the future of work
  • Regulation: EU AI Act & global picture
Module 36 topics

The Future of AI

AGI, autonomous agents, realistic predictions, and the careers that will matter most.

  • AGI: what, when, if
  • AI agents & autonomous tools
  • Realistic 2026–2030 predictions
  • Careers in AI

Track Highlights

Neural networks explained
How LLMs actually work
AI ethics & bias
Future of AI & careers

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