Technology

Python

From scripting to ML pipelines — data structures, OOP, automation, API integration, and AI tooling.

Modern Java for backend developers — JVM internals, OOP, collections, streams, generics, and concurrency.

How the language of the web really works — closures, the event loop, promises, prototypes, and modern ES syntax.

Type erasure, structural typing, generics, and the type-level programming toolkit — from fundamentals to production patterns.

Standalone components, signals, RxJS, routing, and DI — maintainable frontends with the enterprise framework.

Window functions, query optimisation, data modelling, and modern analytical SQL for cloud warehouses.

Distributed data processing at petabyte scale — PySpark, structured streaming, and performance tuning.

The JVM's hybrid OOP/functional language — immutability, pattern matching, and the type system behind Spark and Akka.

Text processing, embeddings, LLM workflows, NER, sentiment analysis, and multilingual NLP systems.