A comprehensive theoretical course on using Nmap for network enumeration, covering host discovery, port scanning, service and OS detection, NSE scripting, and practical reconnaissance techniques. Designed for cybersecurity learners seeking to master Nmap's capabilities through clear explanations, command examples, and real-world scenarios.

A comprehensive, fully theoretical exploration of attention mechanisms in modern neural architectures. This course builds intuition, mathematical understanding, and conceptual clarity around attention, self-attention, multi-head attention, masking, and their role in transformers — without any programming or code.

A rigorous, theory-driven exploration of Neural Tangent Kernel (NTK) theory: infinite-width limits, Gaussian process correspondence, linearized training, kernel dynamics, and the explanatory boundaries of NTK in deep learning.

A beginner-friendly course introducing the essential concepts and practical applications of observability in DevOps. Learn how logs, metrics, and traces provide visibility into systems, how to use dashboards and alerts, and how to interpret service health using SLIs and SLOs. Each chapter combines clear explanations with real-world text-based examples to build foundational skills for modern DevOps workflows.

A comprehensive course designed for DevOps engineers and backend professionals to master the core concepts of operating systems, understand their impact on system performance and reliability, and apply this knowledge to modern infrastructure, including containers and cloud environments.

A comprehensive, hands-on course exploring the theory, intuition, and practical implementation of outlier and novelty detection algorithms in Python. Learn to identify anomalies using statistical, isolation, density, and kernel-based methods, interpret results, and compare approaches for real-world applications.

Learn how to detect, control, and recover from runtime problems in PHP applications. This course teaches how PHP handles errors internally, how to convert errors into exceptions, and how to build safe failure systems that prevent crashes in real-world projects.

Dive deep into PHP's Foreign Function Interface (FFI) internals. Learn how PHP interacts with native C code at runtime, how memory and types are managed, and what performance and security implications arise. This course is designed for experienced PHP developers with a basic understanding of C.

Master PHP's internal memory management, including allocation, usage, and freeing of memory. Learn how the Zend Engine handles memory, how zvals and reference counting work, and how to profile and optimize memory usage in your PHP applications.

Master the essentials of managing user state in PHP using sessions and cookies. This course guides you from the basics of session and cookie handling to implementing secure login persistence and building a mini login system.

A mathematically rigorous, code-light exploration of parameter-efficient fine-tuning (PEFT) for large neural networks. This course emphasizes linear algebra, optimization, and architectural trade-offs, providing deep intuition and theoretical grounding for modern PEFT methods.

Unlock the power of effective note-taking and knowledge retention. Learn why traditional methods fail, how to build a sustainable PKM system, and discover proven techniques and tools to transform scattered information into actionable insights.

A course for knowledge workers who are tired of productivity gurus, 5 a.m. routines, and Notion templates the size of a novel. Most popular productivity advice makes people less productive and more burned out — because it is built around the cult of work, not around how the brain and body actually function. This course is about sustainable productivity: doing what matters, not lying to yourself that “you can do 8 hours of deep work every day” — you can’t — and not burning out by the time you’re 40.

Build a zero-day phishing detection engine using structural heuristics and gradient boosting, following strict constraints: no functions, strictly linear code, and a single data load. Analyze, visualize, and classify phishing URLs using Python, pandas, seaborn, matplotlib, and scikit-learn.

Gain a solid understanding of how to select investments tailored to your life goals, from portfolio construction and fund selection to tax efficiency and practical portfolio management.