1. ASP.NET Web API 2內建兩個強大的功能,批次處理與使用OAuth 2.0進行社交登入,本場次將會完整解析這兩個不為人知的功能。
2. ASP.NET Web API 2發行之後,很快速又提供2.1版的更新,在最新的Web API 2.1.2中提供一些很棒的新功能與改善,我會為各位完整介紹Web API 2.1.2的新功能。
3. 開發Web API服務卡卡的?本場次會介紹一些「好工具」,「好工具」能帶我們上天堂,我將深入介紹「好工具」協助各位在開發與測試的路上一路順暢。
ASP.NET MVC 的 Model 並不等同於 Entity Framework,這一次將說明如何使用 ADO.NET 來做為 MVC 的 Model,並且介紹 Enterprise Library Data Access Application Block以及實作分層讓 Model 讓 Web Forms 專案可以共用。
1. ASP.NET Web API 2內建兩個強大的功能,批次處理與使用OAuth 2.0進行社交登入,本場次將會完整解析這兩個不為人知的功能。
2. ASP.NET Web API 2發行之後,很快速又提供2.1版的更新,在最新的Web API 2.1.2中提供一些很棒的新功能與改善,我會為各位完整介紹Web API 2.1.2的新功能。
3. 開發Web API服務卡卡的?本場次會介紹一些「好工具」,「好工具」能帶我們上天堂,我將深入介紹「好工具」協助各位在開發與測試的路上一路順暢。
ASP.NET MVC 的 Model 並不等同於 Entity Framework,這一次將說明如何使用 ADO.NET 來做為 MVC 的 Model,並且介紹 Enterprise Library Data Access Application Block以及實作分層讓 Model 讓 Web Forms 專案可以共用。
DevSecOps applies security checks and controls into the DevOps pipeline automatically and transparently, without slowing the development & release process. It relies on continuous learning instead of security gates and takes a "shift-left" strategy where security issues are discovered and dealt with earlier in the build and release cycles. Some DevSecOps best practices include training developers on secure coding, checking code dependencies, encrypting data in motion, using secrets management tools, and implementing role-based access control.
Awwvision: Cloud Vision API from a Kubernetes Cluster
Classify Images of Clouds in the Cloud with AutoML Vision
Implementing an AI Chatbot with Dialogflow
Classify Text into Categories with the Natural Language API
Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
This document introduces .NET as a free, cross-platform, and open-source software development platform that can be used to build all types of applications. It highlights that .NET supports popular programming languages like C#, F#, and Visual Basic and can be used across desktop, web, cloud, mobile, gaming, IoT, and AI development. The document also provides testimonials from various companies on how .NET has helped them build applications and notes its growing adoption and active developer community.
Microsoft recommendation solution on azureDuran Hsieh
It is a big-data and AI workshop in National Yunlin University of Science and Technology. I have two sessions this workshop:
1. SEO (2hours)
2. Microsoft recommendation solution on Azure (3hours)
I introduce what is data mining, recommendation system, and Azure. I also show:
1. Participant how to deploy recommendation solution to azure
2. How to use azure storage
3. How to use recommendation solution
this is 3 hours speech for non IT related students.
I briefly introduce chat bot application, learning path, restful api, and Microsoft bot framework. Finally I run my skype bot project and explain how it works.