AI

Threads

Ideas that run through this notebook, with the modules that cover them.

Agentic AI

Evaluation

Two passes on the same topic: metrics first, then benchmarking pipelines.

Deployment & operations

MLOps lifecycle in one module, scaling and CI/CD in the other.

Frameworks

Comparison table and selection guide, then a tour of each tool.

Memory

Memory types and architecture, revisited with a memory manager.

Multi-agent systems

Agent types, team architectures and collaboration patterns.

Safety & limits

Threats and controls, then open challenges and limitations.

AI System Design

Model lifecycle

Data, training, serving and the MLOps loop that ties them together.

Reliability & operations

Staying up, seeing inside the system and running it day to day.

Evaluation

Success metrics, evaluation and testing, then evaluation inside a full project.

Safety & security

Component-level access control and the wider security and privacy view.

Applied examples

Case studies, then a worked end-to-end project.