Learn AI Series (#120) - Model Optimization: Making Models Fast What will I learn You will learn quantization: dropping precision from FP32 to INT8 (and even INT4) while keeping almost all of your accuracy;

Learn Zig Series (#101) - Mini Project: HTTP Load Tester - Part 1 What will I learn? Why a load tester is really just "make the same request over and over, time each one, and do statistics on the

Learn Ethical Hacking (#79) - Securing AI Systems in Production What will I learn AI-specific security requirements -- what makes securing AI systems fundamentally different from traditional software;

Learn AI Series (#119) - Experiment Tracking and Reproducibility What will I learn You will learn why an ML experiment you cannot repeat is not really an experiment at all -- it's an anecdote; MLflow for

Learn Zig Series (#100) - Mini Project: Port Scanner What will I learn? Why a TCP port scan is, at its heart, nothing more than "try to connect and watch how the attempt fails" -- and how those

Learn Ethical Hacking (#78) - Secure Development - Writing Code That Doesn't Get Hacked What will I learn The developer's role in security -- why most vulnerabilities are created during development, not

Learn AI Series (#118) - Data Engineering for AI What will I learn You will learn the difference between batch and streaming data pipelines, and (more importantly) when each one actually earns its complexity;

Learn Zig Series (#99) - Mini Project: DNS-over-HTTPS Proxy What will I learn? Why the operating system still asks for names in plaintext UDP long after the rest of your traffic went encrypted -- and how

Learn Ethical Hacking (#77) - Malware Analysis - Understanding the Threat What will I learn Malware analysis methodology -- the structured approach to understanding what malicious software actually does;

Learn AI Series (#117) - ML System Design What will I learn You will learn how to frame a vague business goal as a precise machine-learning problem -- the translation step where most projects quietly go

Learn Zig Series (#98) - Mini Project: Chat Server - Rooms and History What will I learn? Why a chat room with no memory feels broken the moment you walk in late -- and how to give a room a bounded

Learn Ethical Hacking (#76) - Digital Forensics Deep Dive - Evidence That Holds Up What will I learn Digital forensics methodology -- the systematic process of collecting, preserving, and analyzing digital

Learn AI Series (#116) - Mini Project: Training a Game-Playing AI What will I learn You will learn how to wire an entire RL training pipeline together, from raw environment to a trained agent that actually

Learn Zig Series (#97) - Mini Project: Chat Server - Client TUI What will I learn? Why a chat client is a genuinely different problem from the server -- not "read a socket" but "do two things

Learn Ethical Hacking (#75) - Threat Hunting - Proactive Detection What will I learn What threat hunting is and how it differs from alert-driven monitoring; Hypothesis-driven hunting -- forming testable

Learn AI Series (#115) - Offline Reinforcement Learning What will I learn You will learn why learning from a fixed, frozen dataset -- with no environment to poke at -- is both wildly useful and genuinely

Learn Zig Series (#96) - Mini Project: Chat Server - Server Core What will I learn? How to turn last episode's paper protocol into a running server that many people can connect to at once; Why the heart

Learn Ethical Hacking (#74) - Security Monitoring and SIEM - Seeing Everything What will I learn What SIEM is and why centralized log management is the foundation of security operations; Log sources --

Learn AI Series (#114) - Inverse Reinforcement Learning What will I learn You will learn the core reversal at the heart of inverse RL -- inferring a reward function from observed behaviour, rather than

Learn Zig Series (#95) - Mini Project: Chat Server - Protocol Design What will I learn? Why a real multi-user program starts with the messages, not the sockets -- a protocol is a contract written in bytes,