Build flexible, responsive layouts using CSS Flexbox. This course breaks down how Flexbox organizes space, aligns items, and simplifies complex positioning problems in modern web design.

Build interactive canvas based applications using Konva JS and JavaScript. Learn to work with stages, layers, shapes, events, drawing tools, text, and images to create rich canvas experiences. Apply these skills to design whiteboard style editors, diagram tools, and other custom interactive canvas interfaces.

A concise, hands-on course focused on using Claude for real work scenarios. Learn to set up projects, craft effective prompts, manage documents, and build repeatable workflows.

A beginner-friendly course introducing the essential concepts of cryptography, designed for those new to cybersecurity. Learn the foundations of encryption, hashing, and digital signatures with clear explanations and practical examples.

Empower project leads to make informed, security-conscious decisions throughout the project lifecycle. This course focuses on practical cybersecurity thinking, risk assessment, and fostering a security-aware culture within project teams, using real-world scenarios and reflective guidance.

A concise, hands-on course introducing Dart's asynchronous programming model. Learn how to work with Futures, async/await, chaining, coordination, and Streams using clear, console-based examples.

A concise, beginner-friendly course focused on the core object-oriented programming concepts in Dart. Learn to design robust classes, leverage inheritance and composition, and write maintainable OOP code.

Master sophisticated data cleaning strategies in Python, including fuzzy matching, deduplication, record linkage, advanced text normalization, anomaly detection, and repairing corrupted datasets. This course provides hands-on, practical approaches using Python and popular libraries to ensure your data is accurate, consistent, and ready for analysis.

A comprehensive course exploring the foundational algorithms and data structures that underpin modern data engineering and large-scale data systems. Learn how sorting, hashing, indexing, and probabilistic structures power real-world data infrastructure, with conceptual explanations and practical Python demonstrations.

A comprehensive course covering essential data structures in Go, including their implementation, usage, and performance considerations. This course is designed for learners who want to master Go's approach to data structures and apply them effectively in real-world applications.

This course provides a comprehensive introduction to Generative AI, covering its theoretical foundations, practical applications, and ethical considerations. Learners will explore various generative models, their training methods, and real-world use cases while also addressing the challenges and risks associated with AI-generated content.

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

Gain a structured understanding of how marketing performance is measured, analyzed, and improved across channels. The material covers essential metrics, tracking frameworks, and analytics tools used to evaluate web, SEO, social, paid media, email, and e-commerce performance. It also explores data preparation, dashboarding, attribution models, experimentation, and forecasting. By connecting insights to budget decisions and ROI optimization, the focus shifts from reporting numbers to driving smarter, evidence-based marketing decisions.

Master the art and science of logging for robust, maintainable, and observable software systems. This course guides software engineers and DevOps professionals through the principles, patterns, and practical tools needed to design and implement effective logging strategies in modern environments.

Master the art of evaluating machine learning models when the IID assumption fails. Learn to identify types of distribution shift, understand their impact on evaluation, and apply robust, real-world strategies for trustworthy model assessment.