Master the core concepts and hands-on techniques of transfer learning. Learn how to leverage pre-trained models for image classification and sentiment analysis, and gain practical experience with CNNs and transformers.

A comprehensive, code-free exploration of transformer-based language models, focusing on their architecture, text generation mechanics, and the theoretical principles underlying their behavior.

Explore TypeScript's type system, guiding you from the basics of primitive types to advanced concepts like type inference, narrowing, and safe handling of any and unknown. Learn how TypeScript makes JavaScript code safer, more robust, and easier to maintain.

Work with the DOM using TypeScript to write safer, clearer, and more predictable front-end code. Apply precise types to elements, events, and form inputs to avoid runtime errors and improve interactivity. Use type-driven patterns to select, update, create, and remove DOM elements with confidence.

Transition from JavaScript to TypeScript with practical, hands-on guidance. Compare syntax and workflows, migrate existing codebases safely, and use TypeScript's advanced typing system to create scalable, maintainable applications. Build confidence writing modern, type-safe JavaScript for real-world development.

Learn how to build powerful, real-world automation systems using Make.com and AI. Start with the fundamentals of scenario building and flow control, then master data handling, functions, APIs, and webhooks. Move into advanced workflows that combine RSS feeds, AI agents, and multimedia processing to create intelligent content pipelines. Finish by assembling a complete automation system, managing AI outputs, and exploring expansion ideas for scaling your workflows.

A complete, hands-on introduction to working with dates and times in JavaScript. This course covers everything from basic date creation and formatting to advanced concepts like time zones and modern libraries. Build the skills to handle dates accurately and confidently in any real-world web project.

The AWS Certified Developer – Associate certification validates your ability to develop, deploy, and troubleshoot cloud-based applications using AWS. This course provides a structured and hands-on approach to mastering AWS development concepts, from fundamental tools like AWS SDKs, IAM, and CloudFormation to serverless computing, event-driven architectures, and CI/CD automation. You'll gain practical experience with databases, caching solutions, and security best practices while optimizing applications for performance, scalability, and cost efficiency. The course also includes real-world scenarios and curated practice exam questions to help you confidently pass the certification exam. Whether you're a developer new to AWS or looking to formalize your knowledge, this course provides the essential skills needed to build modern cloud applications. This course is designed for developers who want to build, deploy, and optimize applications on AWS. Specifically, it benefits: Software Developers, DevOps & Cloud Engineers, Solution Architects (with Developer Focus), and Tech Leads & Engineering Managers

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

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

Explore relationships between economic, social, and health factors and happiness by analyzing the 2019 World Happiness Report dataset.

Design shapes how people see, understand, and interact with the world. This learning path introduces the foundations needed to create clear, engaging, and meaningful visuals. From the basics of layout and structure to the nuances of typography and color, every element works together to communicate effectively. Along the way, you’ll discover how psychology, perception, and creative principles influence design decisions. By the end, you’ll have the tools to craft work that is both visually appealing and purpose-driven.

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

Build a machine learning system to detect fraudulent job postings using text analysis and structured metadata for robust automated screening.

Explore how different architectural design features impact building energy performance by analyzing and visualizing heating and cooling loads from building simulation data.