Showing 109–120 of 721 results
Building and Leading an Effective Threat Modeling Program
If you've seen the benefits of threat modeling in action and want to take this popular security approach to the next level, then this course will teach you how to plan, execute, and manage a threat modeling program at scale within your organization.
Building Asynchronous RESTful Services With Jersey
In this course, we explore writing asynchronous services, as well as many other features found in Jersey. We also cover dependency injection, exception mapping, filters, Grizzly, Jackson, JerseyTest, and more.
Building Computer Vision Solutions with Azure
Explore the tools and techniques for developing computer vision solutions using Microsoft Azure's AI capabilities.
Building Distributed Applications with Go
This course will teach you to build the basic elements of a distributed application architecture from first principles, using only Go’s standard library.
Building DSLs in Kotlin
One of the valuable features of Kotlin is its support for Domain Specific Languages (DSLs). This course will teach you how to apply kotlin language features, design patterns, & DSL design principles to create DSLs and improve the syntax of your code.
Building Dynamic Websites Using jQuery UI 1
This course will teach you how to use the jQuery UI library to build interactive and user-friendly web interfaces by building a real world application to search available flights for your desired route.
Building Effective Dashboards with Tableau Desktop
Learn how to bring all your elements together (literally) in this advanced course. You will learn some of the science behind dashboarding and all the technical skills you need to deliver high-quality content for any device in Tableau Desktop.
Building Enterprise ASP.NET Core 6 Blazor Applications
Learning how to get started with Blazor is only the first step. This course will take you further to the level of getting started on realistic Blazor server web applications.
Building Features for Computer Vision in Microsoft Azure
This course will cover how to leverage both an algorithmic as well as a deep learning approach for building features from image data on Microsoft Azure.
Building Features from Image Data
This course covers conceptual and practical aspects of pre-processing images to maximize the efficacy of image processing algorithms, as well as implementing feature extraction, dimensionality reduction, and latent factor identification.
Building Features from Text Data
This course covers aspects of extracting information from text documents and constructing classification models including feature vectorization, locality-sensitive hashing, stopword removal, lemmatization, and more from natural language processing.
Building Generative AI Solutions with Vector Databases
Understand how to leverage vector databases in building efficient generative AI solutions.