A beginner-friendly course introducing the core concepts of APIs, their types, how they work, and their role in modern technology. This course uses simple language and practical scenarios to help you understand APIs from the ground up, with easy quizzes to reinforce your learning.

A beginner-friendly course introducing the core security patterns used in API Gateways. Learn the basics of API security, authentication, and traffic control with simple explanations and real-world examples.

A beginner-friendly course introducing the fundamentals of API Gateways and their practical implementation using Spring Boot. Learn the basics, explore routing, filters, security, and request handling in a clear and simple way.

A comprehensive theoretical course exploring the principles, design patterns, and practical considerations of API and protocol design, focusing on REST, RPC, and gRPC. This course provides a deep dive into the architectural styles, communication models, and best practices for designing robust APIs.

This comprehensive course is designed for beginners aiming to become AWS Certified Developer Associates. It is structured into 3 sections, each containing 3 theory chapters that cover essential AWS development concepts and services. Alongside the theoretical lessons, each section includes 2 practical tasks to reinforce learning and provide hands-on experience. By the end of this course, learners will have a solid foundation in AWS development and be well-prepared for the certification exam.

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Explore the principles and practical techniques of Active Learning to maximize label efficiency in machine learning workflows. Learn the core concepts, sampling strategies, and hands-on iterative simulations using Python and scikit-learn.

Analyze a large chess games dataset using advanced pandas and visualization techniques. Extract actionable insights about player performance, time controls, opening theory, and upsets—all without defining custom functions or reloading data. This case study emphasizes vectorized operations, categorical engineering, and professional data storytelling.

Deepen your Go expertise by mastering advanced language features, idiomatic design, and practical skills for robust Go development. This course builds on foundational Go knowledge, exploring methods, interfaces, generics, packages, memory management, and more.

Master the most powerful modern tree-based ensemble methods—CatBoost, XGBoost, and LightGBM. Learn their unique innovations, practical tuning, and how to leverage them for high-performance machine learning tasks.

A hands-on project guiding learners through data cleaning, feature engineering, and exploratory data analysis (EDA) to uncover what makes a book popular in a book exchange community. Learners will work with a real-world dataset, applying practical Python and pandas skills, and visualizing insights with seaborn.

Real sales data becomes the foundation for uncovering performance patterns and understanding how different product lines contribute to overall results. The workflow moves from raw records to structured insights through data cleaning, revenue calculation, and product-level evaluation, forming a practical analytical pipeline commonly used in real business environments.

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.