A beginner-friendly course introducing the core principles, practices, and real-world scenarios of Site Reliability Engineering. Designed for learners with foundational DevOps or system administration knowledge, this course explores the unique mindset, tools, and workflows that define SRE.

A hands-on project guiding you through the complete process of building a machine learning pipeline to predict sleep disorders from health and lifestyle data. You'll clean, analyze, visualize, encode, and model real-world data, comparing two powerful classifiers.

Learn the foundations and advanced practices of software architecture, from core concepts and architectural types to high-level system design. Explore design patterns such as creational, structural, and behavioral to build scalable and maintainable solutions, and deepen your knowledge of scalability, performance, availability, fault tolerance, and security. Strengthen communication through effective documentation techniques including UML diagrams, architecture diagrams, and decision records. By the end, you will be ready to influence key architectural decisions and design robust, future-ready systems.

Learn to build modern drag and drop interfaces using SortableJS. The material covers everything from setting up simple sortable lists to creating advanced multi list layouts and Kanban boards.

Explore the mathematical foundations of spectral methods in machine learning. Understand how eigenvalues, eigenvectors, and spectral decompositions underpin dimensionality reduction, graph learning, and kernel methods, with a focus on theory and structure.

A technical, production-focused course on integrating AI into Spring applications. Learn how Spring AI works under the hood, how it connects to external LLM providers, manages requests and responses, and ensures reliability, consistency, and robust error handling in real-world backend systems.

Dive deep into the internal workings of Spring AOP. This course is designed for Java and Spring developers who want to understand not just how to use AOP, but how it operates under the hood. Explore the architecture, proxy mechanisms, weaving, and the lifecycle of advice in Spring AOP, with a blend of theory and hands-on code exploration.

A beginner-friendly course introducing the core concepts and practical skills for testing Spring Boot applications. Learn unit testing, integration testing, test slices, mocking, and effective testing strategies to ensure robust and maintainable Spring projects.

Manage application state in React using Zustand. Create and update stores, derive and organize state, handle asynchronous logic, and apply middleware for extended behavior. Structure Zustand stores effectively and evaluate when Zustand is an appropriate state management solution.

Explore the mathematical foundations of machine learning generalization. This course covers empirical risk minimization, bias–variance tradeoff, VC dimension, generalization bounds, and the theory of overfitting, equipping you with rigorous intuition for model selection and evaluation.

Learn core statistical concepts used in data analysis with Python. The course covers descriptive statistics, including mean, median, mode, variance, and standard deviation, as well as sampling, probability distributions, the Central Limit Theorem, and outlier detection.

A comprehensive, hands-on data analysis project using Python and pandas on the Steam games dataset. This case study guides you through data cleaning, exploratory data analysis, feature engineering, deep-dive analytics, and statistical hypothesis testing to extract actionable business insights for game developers.

Master idiomatic backend design in Go by leveraging structs, interfaces, and composition. This course guides you through best practices for struct-based design, encapsulation, interface usage, and common pitfalls, with practical code examples and conceptual questions in every chapter.

A hands-on, notebook-driven case study guiding you through the process of cleaning, transforming, and analyzing a real-world student mental health dataset. You'll uncover psychological risk patterns, demographic vulnerabilities, and help-seeking gaps using pandas, matplotlib, and seaborn—all without defining a single function.

Learn how to efficiently style modern React applications using Chakra UI, a popular component library that enables accessible, themeable, and responsive design with ease.