Episode 0
The AI Landscape
How AI, machine learning, deep learning, generative AI and data science relate, and the map of this series.
6:11
- Machine learning
- Deep learning
- Generative AI
- Data science
Episode 1
How Generative AI Works
How language models learn patterns, generate text token by token, and why a fluent answer can still be wrong.
5:18
- Tokens
- Self-attention
- Temperature
- Context window
Episode 2
How RAG Works
Retrieval-augmented generation: chunks, embeddings and vector databases that bring trusted pages to the model.
5:06
- Chunking
- Embeddings
- Vector database
- Retrieval
Episode 3
How AI Agents Work
Tools, the reason–act–observe loop, memory, multi-agent systems and the agency spectrum.
5:15
- Tools
- ReAct loop
- Memory
- Multi-agent teams
Episode 4
Evaluating AI Agents and Guardrails
Measuring quality, speed and safety, then adding guardrails, least privilege and human approval.
5:25
- Evaluation
- Latency
- Guardrails
- Human approval
Episode 5
AI Governance and Responsible AI
What AI governance is, responsible AI principles, the NIST AI RMF, the EU AI Act and how to put it into practice.
6:58
- Responsible AI
- NIST AI RMF
- EU AI Act
- AI inventory