What we're about
Upcoming events (5)
What is the event about?
This session builds on provide the introduction to DevOps and the CI and CD pipelines demos in the previous two sessions by showing live demos of CI and CD pipelines using GitHub Actions.
• GitHub Actions Introduction
• Action blocks
• Checkin and Checkout
• GitHub Actions for CI and CD
• Using a Template
• Working with Artifacts
• Automating Reviews
• Connection strings
Who is it aimed at?
Developers and IT pros looking for ideas for delivering your code From GitHub to the cloud using GitHub Actions.
Why should you attend?
You’ll learn tips and tricks for using GitHub actions to implement CI and CD pipelines.
For more on this series visit https://aka.ms/DevOps4JavaShops
Brian is a Cloud Advocate at Microsoft, helping developers get the most out of Azure. Before Joining Microsoft, he was a solution architect, consultant, developer, author and presenter at IBM, Deloitte, and other companies. Find him on Twitter @bbenz.
A basic understanding DevOps, Continuous Integration (CI) and Continuous Deployment (CD)
Calling all developers! It is time to dev-level-up! Join us for each episode as we learn and connect with experts as they take us through a range of developer tools and services. Join sessions created for developers and discover the capabilities of the Microsoft Cloud ecosystem.
*Registration for this event is on an external MS site*
Every modern business is powered by applications, such as internal procurement applications, CRM applications, retail websites, 3rd party products and a whole bunch of Line-of-Business applications. As your business prepares to digitally transform, it is important to begin your modernization journey to adapt and adopt the latest and the greatest in technology advancements. Azure can be a key component and an enabler of your modernization journey. In this episode, we will cover:
- Modernize your applications with App services and Azure SQL
- Develop custom models with Azure Machine Learning for your application
- The best way to run OSS solutions is to run them in Azure
- Modernize SAP Data with Power Platform
Join us online, from the comfort of your home or office or favorite work spot!
Davide Mauri, Senior Program Manager - Azure SQL - Hyperscale
Pratheek Devaraj, Data Scientist & Solution Architect
Aaron Powell, Cloud Advocate
Marysol Mantilla, Power Platform Senior Technical Specialist
Holger Bruchelt, Program Manager - SAP Architecture
Code of Conduct
This event is dedicated to providing a friendly and welcoming experience to all attendees regardless of gender, sexual orientation, disability, ethnicity, or religion. All participants are expected to display a positive community spirit by exercising consideration and respect to all that attend. Unacceptable behavior or harassment of event attendees in any form will not be tolerated.
Please find the Code of Conduct located here: https://opensource.microsoft.com/codeofconduct
API, short for application programming interface, is a convenient way to interface between a user and a product. In this workshop, we will dive deep into what an API is and how it's used. Then we'll show you how to build your own API using the REST protocols to get images of artwork made public by museums around the world. You will also learn how to connect to external APIs and query two different sets of data. This is a beginner's workshop that will give you the confidence to start using RESTful APIs on your own!
Instructor: Allen Sanders, Sr. Cloud Architect & Sr. Technology Instructor; Develop Intelligence
Allen Sanders is a Senior Cloud Architect with over 25 years of experience in software engineering, architecture and design delivering technology strategy and business solutions in multiple verticals. Allen is a motivated leader with experience effectively partnering with both technical and executive-level business stakeholders on the execution of multiple complex software delivery programs and Cloud migration efforts. As a Microsoft Certified Professional, he has taught, led and mentored teams of varying sizes in application transformation efforts, in the setup of secure DevOps capabilities, and in the establishment of governance programs that have helped organizations, both large and small, realize business value, achieve desired outcomes and secure sustainable evolution. He has a passion for learning – both his own and for others.
What is this session about?
Language Modelling is the task of predicting what word comes next. In formal definition, given a sequence of words, a language model computes the probability of the next word. Language models are best used for part of speech tagging, name entity recognition, sentence classification, text summarisation, text generation, and question answering. In this session we briefly review n-gram language models and Recurrent Neural Network (RNN) which are the traditional approaches to building language models and have the vanishing gradients problem. We then talk about the Transformers architects that have significantly evolved from previous ML architectures. In the light of transformers-based architects, we introduce the Generative Pre-trained Transformers (GPT) models by OpenAI and will review their advantages and disadvantages. We finish the session by examples of accessing the API of Microsoft Turing Natural Language Generation (T-NLG) with opportunity of hands-on practices.
Who is it aimed at?
The session is aimed at new data scientists with some introductory level of NLP and established data scientists interested in developing simple models using the state of the arts language models APIs.
Why should I attend?
If you wish to learn more on the following technologies or techniques this is the session for you:
Introduction to RNNs architects
Review of Transformers_based architects
Overview of GPT-1, GPT-2, GPT-3
Hands-on-code with T_NLG API
For more on this series, visit https://developer.microsoft.com/en-us/reactor/eventseries/NaturalLanguage
Lida Ghahremanlou - Cloud Solution Architect - Microsoft
Dr. Lida Ghahremanlou is an AI specialist and a Cloud Solution Architect at Microsoft, Data & AI Azure team from Customer Success Unit (CSU), working closely with customers and partners on providing AI and Machine learning solutions using Azure cloud technologies. Prior to joining Microsoft, she was a research scientist at IBM-Research in Australia where her focus was on Cognitive Computing and Semantic Technologies. Lida is passionate in applying her skills and experience within NLP applications and solving real world problems of language understanding.