The attendee will learn how to use Microsoft Silverlight 1.1 with the Microsoft .NET Framework to upload files to Web server using a Web service with the HTTP POST method.
Related white papers
MSDN Webcast: Look What You Can Do With Silverlight 2 (Part 3 of 6): Introducing Deep Zoom (Level 200)
The Deep Zoom feature in Microsoft Silverlight 2, which is based on SeaDragon technology from Microsoft Research, allows users to easily and cleanly navigate through very large images and only...
MSDN Webcast: Look What You Can Do With Silverlight 2 (Part 4 of 6): Web Services Support (Level 200)
Microsoft Silverlight 2 has a robust networking stack, and it supports Representational State Transfer (REST), SOAP, WS, HTTP endpoints, and even cross-domain networking. This webcast examines how to implement calls...
Live From Redmond: Controls and Events (Subtitle: Programming Silverlight 2 With Expression Blend and Visual Studio 2008)
This webcast will provide a complete overview of why one Silverlight Geek has moved from 15 years of programming exclusively in Visual Studio to a mixed model of Expression Blend...
MSDN Webcast: Look What You Can Do With Silverlight 2 (Part 5 of 6): Testing Framework (Level 200)
A new testing framework is shipping with Microsoft Silverlight 2. This testing framework enables to write unit tests for UI and non-UI functionality in Silverlight 2 and it includes more...
MSDN Webcast: geekSpeak: Silverlight Line-of-Business Applications With Shawn Wildermuth (Level 200)
This webcast discusses the implications of using Microsoft Silverlight 2 browser plug-in technology in line-of-business applications, and he demonstrates consuming and changing database data from Silverlight 2. In this webcast...
MSDN Webcast: Look What You Can Do With Silverlight 2 (Part 6 of 6): Adaptive Streaming (Level 200)
This webcast highlights adaptive streaming, which is an addition to the rich media capabilities of Silverlight 2. Adaptive streaming enables Silverlight 2 applications to examine the capabilities of the client...
Cache and Bandwidth Aware Matrix Multiplication on the GPU
Recent advances in the speed and programmability of consumer level graphics hardware has sparked a flurry of re-search that goes beyond the realm of image synthesis and computer graphics. This...

