Jason Yip – författare

Participatory Design is a field of research and design that actively engages stakeholders in the processes of design in order to better conceptualize and create tools, environments, and systems that serve those stakeholders. In Participatory Design for Learning: Perspectives from Practice and Research, contributors from across the fields of the learning sciences and design articulate an inclusive practice and begin the process of shaping guidelines for such collaborative involvement. Drawing from a wide range of examples and perspectives, this book explores how participatory design can contribute to the development, implementation, and sustainability of learning innovations. Written for scholars and students, Participatory Design for Learning: Perspectives from Practice and Research develops and draws attention to practices that are relevant to the facilitation of effective educational environments and learning technologies.

Participatory Design is a field of research and design that actively engages stakeholders in the processes of design in order to better conceptualize and create tools, environments, and systems that serve those stakeholders. In Participatory Design for Learning: Perspectives from Practice and Research, contributors from across the fields of the learning sciences and design articulate an inclusive practice and begin the process of shaping guidelines for such collaborative involvement. Drawing from a wide range of examples and perspectives, this book explores how participatory design can contribute to the development, implementation, and sustainability of learning innovations. Written for scholars and students, Participatory Design for Learning: Perspectives from Practice and Research develops and draws attention to practices that are relevant to the facilitation of effective educational environments and learning technologies.

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises. Whether you are new to Databricks and trying to learn a new platform,  a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will LearnFoundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topics Who This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.