Learning Series
Understanding LLMs
A progressive deep-dive into how Large Language Models work — from the first token to full transformer architectures. Covers tokenization, embeddings, attention mechanisms, positional encoding, and LLM architecture.
Deep Learning Fundamentals
Build a solid foundation in neural networks from first principles. Covers the forward pass, activation functions, loss functions, backpropagation, and the full training loop — with visual explanations.
JavaScript Essentials
Core JavaScript concepts every developer needs to know. Covers equality comparisons, the event loop, promises, and async/await — with clear examples and real-world intuition.
Kafka & Event Streaming
Understand Apache Kafka from architecture to production patterns. Covers core Kafka concepts, the dual-write problem and outbox pattern, and Spring Kafka integration with dead letter queues.
Node.js Backend
Learn backend development with Node.js from the ground up. Covers Node.js history and architecture, middleware patterns, and building production-ready REST APIs with Express and MongoDB.