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40 treff ( i Oslo ) i Microsoft Azure
 

Oslo 1 dag 9 500 kr
22 Aug
22 Aug
17 Oct
DP-900: Microsoft Azure Data Fundamentals [+]
DP-900: Microsoft Azure Data Fundamentals [-]
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1 dag 9 500 kr
AZ-1001: Deploy and manage containers using Azure Kubernetes Service [+]
AZ-1001: Deploy and manage containers using Azure Kubernetes Service [-]
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Oslo 5 dager 27 500 kr
01 Sep
01 Sep
20 Oct
AZ-305: Microsoft Azure Architect Design [+]
AZ-305: Microsoft Azure Architect Design [-]
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Nettkurs 5 timer 549 kr
I dette kurset kommer seniorutvikler John Inge Muldal Erlandsen til å dekke Azures viktigste fundamentale konsepter og hjelpe deg på din vei mot skyen. Han kommer til å d... [+]
Dette grunnleggende kurset om Microsoft Azure gir deg en solid forståelse av fundamentale konsepter i Azure-skymiljøet. Kursholderen, seniorutvikler John Inge Muldal Erlandsen, vil veilede deg gjennom nøkkelkomponentene og mulighetene som Azure tilbyr. Microsoft Azure er en ledende skyplattform og konkurrerer direkte med Amazon Web Services (AWS). Azure inneholder et bredt spekter av enheter, funksjoner og tjenester som du kan bruke for å oppfylle ulike behov innen skytjenester. Dette kurset er spesielt rettet mot forberedelse til AZ-900-eksamen, som fører til Microsoft-sertifiseringen "Microsoft Certified Fundamentals". Målet med kurset er å gi deg tilstrekkelig kunnskap og forberedelse til å bestå denne eksamenen med suksess. Kurset vil dekke følgende emner: Kapittel 1: Introduksjon Kapittel 2: Tjenester Kapittel 3: Verktøy Kapittel 4: Sikkerhet Kapittel 5: Styring Kapittel 6: Administrasjon Kapittel 7: Avslutning   Varighet: 4 timer og 32 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Vår tjeneste fungerer på samme måte som strømmetjenester for musikk eller TV-serier, der våre kunder betaler en fast månedspris for tilgang til alle kursene vi har tilgjengelig. Vi har opplevd betydelig vekst de siste årene, med over 30 000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling engasjerende, spennende og tilgjengelig for alle, og vi har støtte fra Innovasjon Norge og Forskningsrådet. [-]
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1 dag 9 500 kr
AI-050: Develop Generative AI Solutions with Azure OpenAI Service [+]
AI-050: Develop Generative AI Solutions with Azure OpenAI Service [-]
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Oslo 3 dager 20 000 kr
25 Aug
25 Aug
27 Oct
AZ-700: Designing and Implementing Microsoft Azure Networking Solutions [+]
AZ-700: Designing and Implementing Microsoft Azure Networking Solutions [-]
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Oslo 4 dager 22 500 kr
25 Aug
25 Aug
06 Oct
https://www.glasspaper.no/kurs/az-500/ [+]
AZ-500: Microsoft Azure Security Technologies [-]
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4 dager 25 000 kr
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services... [+]
TARGET AUDIENCE Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C#, Python, or JavaScript and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure. COURSE OBJECTIVES After completing this course you should be able to: Describe considerations for creating AI-enabled applications Identify Azure services for AI application development Provision and consume cognitive services in Azure Manage cognitive services security Monitor cognitive services Use a cognitive services container Use the Text Analytics cognitive service to analyze text Use the Translator cognitive service to translate text Use the Speech cognitive service to recognize and synthesize speech Use the Speech cognitive service to translate speech Create a Language Understanding app Create a client application for Language Understanding Integrate Language Understanding and Speech Use QnA Maker to create a knowledge base Use a QnA knowledge base in an app or bot Use the Bot Framework SDK to create a bot Use the Bot Framework Composer to create a bot Use the Computer Vision service to analyze images Use Video Indexer to analyze videos Use the Custom Vision service to implement image classification Use the Custom Vision service to implement object detection Detect faces with the Computer Vision service Detect, analyze, and recognize faces with the Face service Use the Computer Vision service to read text in images and documents Use the Form Recognizer service to extract data from digital forms Create an intelligent search solution with Azure Cognitive Search Implement a custom skill in an Azure Cognitive Search enrichment pipeline Use Azure Cognitive Search to create a knowledge store   COURSE CONTENT Module 1: Introduction to AI on Azure Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly. Introduction to Artificial Intelligence Artificial Intelligence in Azure Module 2: Developing AI Apps with Cognitive Services Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services. Getting Started with Cognitive Services Using Cognitive Services for Enterprise Applications Lab: Get Started with Cognitive Services Lab: Get Started with Cognitive Services Lab: Monitor Cognitive Services Lab: Use a Cognitive Services Container Module 3: Getting Started with Natural Language Processing  Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text. Analyzing Text Translating Text Lab: Analyze Text Lab: Translate Text Module 4: Building Speech-Enabled Applications Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications. Speech Recognition and Synthesis Speech Translation Lab: Recognize and Synthesize Speech Lab: Translate Speech Module 5: Creating Language Understanding Solutions To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input. Creating a Language Understanding App Publishing and Using a Language Understanding App Using Language Understanding with Speech Lab: Create a Language Understanding App Lab: Create a Language Understanding Client Application Use the Speech and Language Understanding Services Module 6: Building a QnA Solution One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution. Creating a QnA Knowledge Base Publishing and Using a QnA Knowledge Base Lab: Create a QnA Solution Module 7: Conversational AI and the Azure Bot Service Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences. Bot Basics Implementing a Conversational Bot Lab: Create a Bot with the Bot Framework SDK Lab: Create a Bot with a Bot Freamwork Composer Module 8: Getting Started with Computer Vision Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video. Analyzing Images Analyzing Videos Lab: Analyse Images with Computer Vision Lab: Analyze Images with Video Indexer Module 9: Developing Custom Vision Solutions While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models. Image Classification Object Detection Lab: Classify Images with Custom Vision Lab: Detect Objects in Images with Custom Vision Module 10: Detecting, Analyzing, and Recognizing Faces Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces. Detecting Faces with the Computer Vision Service Using the Face Service Lab:Destect, Analyze and Recognize Faces Module 11: Reading Text in Images and Documents Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms. Reading text with the Computer Vision Service Extracting Information from Forms with the Form Recognizer service Lab: Read Text in IMages Lab: Extract Data from Forms Module 12: Creating a Knowledge Mining Solution Ultimately, many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights. Implementing an Intelligent Search Solution Developing Custom Skills for an Enrichment Pipeline Creating a Knowledge Store Lab: Create and Azure Cognitive Search Solution Create a Custom Skill for Azure Cognitive Search Create a Knowledge Store with Azure Cognitive Search   TEST CERTIFICATION Recommended as preparation for the following exams: AI-102 - Designing and Implementing a Microsoft Azure AI Solution - Part of the requirements for the Microsoft Certified Azure AI Engineer Associate Certification.   HVORFOR VELGE SG PARTNER AS:  Flest kurs med Startgaranti Rimeligste kurs Beste service og personlig oppfølgning Tilgang til opptak etter endt kurs Partner med flere av verdens beste kursleverandører [-]
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Oslo 4 dager 22 500 kr
01 Sep
01 Sep
03 Nov
DP-300: Administering Microsoft Azure SQL Solutions [+]
DP-300: Administering Microsoft Azure SQL Solutions [-]
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Oslo 4 dager 22 500 kr
29 Sep
29 Sep
24 Nov
AZ-140: Configuring and Operating Microsoft Azure Virtual Desktop [+]
AZ-140: Configuring and Operating Microsoft Azure Virtual Desktop [-]
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Oslo Og 3 andre steder 5 dager 27 500 kr
15 Sep
15 Sep
27 Oct
AZ-400: Designing and Implementing Microsoft DevOps solutions [+]
AZ-400: Designing and Implementing Microsoft DevOps solutions [-]
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Oslo 1 dag 9 500 kr
05 Sep
05 Sep
31 Oct
AZ-900: Microsoft Azure Fundamentals [+]
AZ-900: Microsoft Azure Fundamentals [-]
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1 dag 9 500 kr
19 Sep
14 Nov
AZ-1008: Administer Active Directory Domain Services [+]
AZ-1008: Administer Active Directory Domain Services [-]
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Virtuelt klasserom 4 dager 21 000 kr
In this course students will gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilitie... [+]
In this course students will gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture. TARGET AUDIENCE Students should have at least one year of hands-on experience securing Azure workloads and experience with security controls for workloads on Azure. COURSE OBJECTIVES Describe specialized data classifications on Azure Identify Azure data protection mechanisms Implement Azure data encryption methods Secure Internet protocols and how to implement them on Azure Describe Azure security services and features COURSE CONTENT Module 1: Identity and Access LESSONS Configure Azure Active Directory for Azure workloads and subscriptions Configure Azure AD Privileged Identity Management Configure security for an Azure subscription Module 2: Platform Protection LESSONS Understand cloud security Build a network Secure network Implement host security Implement platform security Implement subscription security Module 3: Security Operations LESSONS Configure security services Configure security policies by using Azure Security Center Manage security alerts Respond to and remediate security issues Create security baselines Module 4: Data and applications LESSONS Configure security policies to manage data Configure security for data infrastructure Configure encryption for data at rest Understand application security Implement security for application lifecycle Secure applications Configure and manage Azure Key Vault [-]
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Oslo 1 dag 9 500 kr
20 Aug
20 Aug
26 Sep
AI-900: Microsoft Azure AI Fundamentals [+]
AI-900: Microsoft Azure AI Fundamentals [-]
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