Courses

From your first line of Python through functions and collections to comprehensions, generators, the standard library, files and object-oriented programming.

How machines learn from data — the paradigms, the training mechanism, the classic algorithms, neural networks, and what it takes to judge and run a model responsibly.

How generative models produce new text — prediction and attention, prompting, retrieval, evaluation, adaptation, and what it costs to run them.

AI agents that decide and act — the loop, tools, memory, planning, and what it takes to make one reliable, observable and safe.

Core cloud concepts end to end — compute, storage, networking, identity, scale, reliability and cost — illustrated with the isolation and hardening patterns RAXENOR actually runs.

Query and change relational data with SQL that really runs — from SELECT and joins to window functions, query plans and transactions.

The procedural layer on top of SQL: blocks, cursors, exceptions, named program units, packages, triggers, dynamic SQL and bulk operations. A reference course to read and try in your own Oracle — nothing here runs on the page, and every printed result is labelled as documented rather than executed.