In this course, you will learn advanced React concepts. You’ll examine different types of React components, learn various characteristics and when to use them. You’ll start working with hooks, effects and other functional components. You’ll find out how routing is used in React to customize the users' experience, you’ll create a web application that consumes API data, … [Read more...] about Advanced React
Computer Science
User Experience & Interaction Design for AR/VR/MR/XR
This second course in the XR for Everybody specialization looks at how to design new user experiences for XR technologies. The course provides learners with a design thinking mindset and equips them with a fundamental toolbox for creating XR applications using rapid prototyping. It starts with a broad overview of the complete XR design process, discussing different paths to … [Read more...] about User Experience & Interaction Design for AR/VR/MR/XR
Front-End Developer Capstone
The Capstone project enables you to demonstrate multiple skills from the Certificate by solving an authentic real-world problems. This course will test your knowledge and understanding, and provide you with a platform to show off your new abilities in front-end web development using React. On completion of the Capstone project, you’ll have a job-ready portfolio that you can … [Read more...] about Front-End Developer Capstone
Introduction to High-Performance and Parallel Computing
This course introduces the fundamentals of high-performance and parallel computing. It is targeted to scientists, engineers, scholars, really everyone seeking to develop the software skills necessary for work in parallel software environments. These skills include big-data analysis, machine learning, parallel programming, and optimization. We will cover the basics of Linux … [Read more...] about Introduction to High-Performance and Parallel Computing
Natural Language Processing with Attention Models
In Course 4 of the Natural Language Processing Specialization, you will: a) Translate complete English sentences into German using an encoder-decoder attention model, b) Build a Transformer model to summarize text, c) Use T5 and BERT models to perform question-answering, and d) Build a chatbot using a Reformer model. By the end of this Specialization, you will have designed NLP … [Read more...] about Natural Language Processing with Attention Models
