About this Paths
The Microsoft Azure + AI Conference brings together the best and brightest from Microsoft and the broader cloud and AI industry in the late fall of 2019 in Las Vegas, Nevada. Azure is becoming a key competitive advantage for all sizes of businesses, and your customers are keen to get on board the cloud train. When combined with AI technologies, including vision systems, voice interaction, machine learning, and deep learning, the opportunities for growth are enormous.
What You'll Learn
| From | Pluralsight |
|---|---|
| Hours | 20 |
| Instructor | Microsoft Azure + AI Conference |
| Language | English |
| Subjects | IT & Networking |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Courses in this Paths
Listed in the order in which they should be taken
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On Demand |
Join Scott Guthrie for the Microsoft Cloud keynote. Pluralsight |
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Microsoft Artificial Intelligence Join Eric Boyd for the Microsoft Artificial Intelligence keynote. Pluralsight |
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Come learn about the recent advancements in Azure App Service from Yutang Lin and Yun Jung Choi! Learn about the newest CI/CD options for App Service, gain an in-depth... Pluralsight |
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Kubernetes, GitHub, and DevOps By itself, Kubernetes is not necessarily a developer-friendly platform. Building, deploying, and testing microservice-oriented applications can involve a lot of manual work and... Pluralsight |
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What's New in Azure Serverless Serverless applications are transforming the way developers are solving problems by radically increasing productivity and reducing operational friction. Come learn how easy it is... Pluralsight |
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Keeping your Azure Apps Healthy and Happy Working on a web app on App Service or serverless on Azure Functions? Join us to learn tips and tricks that will help you quickly and easily diagnose and resolve issues with your... Pluralsight |
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Automated ML is an emerging field in Machine Learning that helps developers and new data scientists with little data science knowledge build Machine Learning models and solutions... Pluralsight |
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Deep Learning for Developer Crash Course, Part 1 Deep learning is at the center of many exciting application innovations, and, yet, deep learning is also a way you can safely upgrade your existing applications with powerful new... Pluralsight |
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On Demand |
Deep Learning for Developer Crash Course, Part 2 Deep learning is at the center of many exciting application innovations, and, yet, deep learning is also a way you can safely upgrade your existing applications with powerful new... Pluralsight |
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On Demand |
Develop Apps with Machine Learning in .NET Get started with ML.NET so you can create machine learning models in C# to run impressive predictions and use them in your .NET applications! Create innovation in your apps with... Pluralsight |
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On Demand |
Developing Microservice-based AspNetCore Applications for Azure Web applications, APIs, and other back end services that comprise a solution each have characteristics that influence requirements related to microservice-enabled production... Pluralsight |
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On Demand |
Delivering AI in Azure from the Command Line with Azure CLI Join this session with Arun Chandrasekhar to see how development productivity is boosted in the Azure CLI by machine learning generated code. Arun will then showcase how to use... Pluralsight |
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Five Services Every Developer Needs to Know Microsoft Azure is a powerful platform with amazing services available at your fingertips! However, it can also be hard to know which services to pick when you’re getting started... Pluralsight |
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Tackling Code Issues with Your App Triage live site issues using Change Analysis and Azure Monitor Application Insights. Diagnose performance issues using Profiler to identify which lines of code slowed down a web... Pluralsight |
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On Demand |
Taking a Leap of Faith: AI for the .NET Developer The landscape of AI and ML technologies provided today by Microsoft is getting bigger and bigger and more complex every day. Azure Machine Learning, Azure Databricks, ML.NET,... Pluralsight |
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On Demand |
Add Intelligence to Serverless with AI on Azure Serverless is more popular than ever. Many organizations have either augmented their applications with serverless components, or have built entire solutions based on serverless,... Pluralsight |
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On Demand |
Add Intelligent Enrichments to Unstructured Data with Knowledge Mining and Cognitive Search Cognitive search is a technique for using AI to extract additional metadata from images, blobs, and other unstructured data. In this session, Kyle Bunting will review the process... Pluralsight |
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On Demand |
Gain Efficiencies and Reliability with Azure See how to leverage PaaS and IaaS services on Azure to move your applications to cloud. This session with Jay Schmelzer covers common real-world scenarios, patterns and best... Pluralsight |
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On Demand |
Re-inventing Computing - The Challenges of Quantum Algorithms We’re in the dawn of a new era in computing – Quantum Computing (QC), an approach based on the very spectacular and strange behavior of matter and energy governed by the laws of... Pluralsight |
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On Demand |
Deploying and Using ML Models across the AI Spectrum The use of AI and ML models has become common practice in modern technological solutions. Understanding how to leverage AI and ML has never been more important. The AI spectrum... Pluralsight |
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| From | Pluralsight |
|---|---|
| Hours | 20 |
| Instructor | Microsoft Azure + AI Conference |
| Language | English |
| Subjects | IT & Networking |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Similar Courses
Sorted by relevance
