Oversikt over relevante kurs innen Microsoft Azure i Oslo

This is a completely new course that leads to the new Azure Developer Associate certification. This five day course is aligned to Azure Exam: AZ-203 Developing Solutions for Microsoft Azure.   Topics covered: Implement solutions that use virtual machines (VM) Implement batch jobs by using Azure Batch Services Create containerized solutions Create Azure App Service Web Apps Create Azure App Service mobile apps Create Azure App Service API apps Implement Azure functions Develop solutions that use storage tables Develop solutions that use Cosmos DB storage Develop solutions that use a relational database Develop solutions that use blob storage Implement authentication Implement access control Implement secure data solutions Develop code to support scalability of apps and services Integrate caching and content delivery within solutions Instrument solutions to support monitoring and logging Develop an App Service Logic App Integrate Azure Search within solutions Establish API Gateways Develop event-based solutions Develop message-based solutions   See course description here   About Sergej Kešelj - instructor of the courseSergej Kešelj is the founder of ICodeFactory, where he works as a CEO, Chief Solutions Architect and Lead Microsoft Certified Trainer. He is MCT, MCPD, MCTS, MCDBA, MCSD and MCAD certified software professional with 10+ years of experience as a trainer and 15+ years of software development experience. While educating and helping software professionals to get certified Sergej shares his broad experience from real-life software development projects. He has supported the whole development process of a CeBIT expo award-winning software which is now used by many international corporations. He does not miss a chance to speak at IT conferences. Some of his work has been published in leading IT magazines. [-]

In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data. The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.   Course content This course contains these themes and modules: Module 1: Azure for the Data Engineer Explain the evolving world of data Survey the services in the Azure Data Platform Identify the tasks that are performed by a Data Engineer Describe the use cases for the cloud in a Case Study Module 2: Working with Data Storage Choose a data storage approach in Azure Create an Azure Storage Account Explain Azure Data Lake storage Upload data into Azure Data Lake Module 3: Enabling Team Based Data Science with Azure Databricks Explain Azure Databricks and Machine Learning Platforms Describe the Team Data Science Process Provision Azure Databricks and workspaces Perform data preparation tasks Module 4: Building Globally Distributed Databases with Cosmos DB Create an Azure Cosmos DB database built to scale Insert and query data in your Azure Cosmos DB database Provision a .NET Core app for Cosmos DB in Visual Studio Code Distribute your data globally with Azure Cosmos DB Module 5: Working with Relational Data Stores in the Cloud SQL Database and SQL Data Warehouse Provision an Azure SQL database to store data Provision and load data into Azure SQL Data Warehouse Module 6: Performing Real-Time Analytics with Stream Analytics Explain data streams and event processing Querying streaming data using Stream Analytics How to process data with Azure Blob and Stream Analytics How to process data with Event Hubs and Stream Analytics Module 7: Orchestrating Data Movement with Azure Data Factory Explain how Azure Data Factory works Create Linked Services and datasets Create pipelines and activities Azure Data Factory pipeline execution and triggers Module 8: Securing Azure Data Platforms Configuring Network Security Configuring Authentication Configuring Authorization Auditing Security Module 9: Monitoring and Troubleshooting Data Storage and Processing Data Engineering troubleshooting approach Azure Monitoring Capabilities Troubleshoot common data issues Troubleshoot common data processing issues Module 10: Integrating and Optimizing Data Platforms Integrating data platforms Optimizing data stores Optimize streaming data Manage disaster recovery [-]

This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each theses area affects an overall solution. This course (together with AZ-304) will help you prepare for the new certification: Azure Solutions Architect Expert.   Skills gained Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes.   Course content Module 1: Implement VMs for Windows and Linux In this module, you will learn about Azure virtual machines including planning, creating, availability and extensions. This module includes: Select Virtual Machine Size Configure High Availability Implement Azure Dedicated Hosts Deploy and Configure Scale Sets Configure Azure Disk Encryption Module 2: Automate Deployment and Configuration of Resources In this module, you will learn about the tools an Azure Administrator uses to manage their infrastructure. This includes the Azure Portal, Cloud Shell, Azure PowerShell, CLI, and Resource Manager Templates. This module includes: Azure Resource Manager Templates Save a Template for a VM Evaluate Location of New Resources Configure a Virtual Hard Disk Template Deploy from a Template Create and Execute an Automation Runbook Module 3: Implement Virtual Networking In this module, you will learn about basic virtual networking concepts like virtual networks and subnetting, IP addressing, network security groups, Azure Firewall, and Azure DNS: Virtual Network Peering Implement VNet Peering Module 4: Implement Load Balancing and Network Security In this module, you will learn about network traffic strategies including network routing and service endpoints, Azure Load Balancer, Azure Application Gateway, and Traffic Manager: Implement Azure Load Balancer Implement an Application Gateway Understand Web Application Firewall mplement Azure Firewall Implement Azure Front Door Implementing Azure Traffice Manager Implement Network Security Groups and Application Security Groups Implement Azure Bastion Module 5: Implement Storage Accounts In this module, you will learn about basic storage features including storage accounts, blob storage, Azure files and File Sync, storage security, and storage tools: Storage Accounts Blob Storage Storage Security Managing Storage Accessing Blobs and Queues using AAD Configure Azure Storage Firewalls and Virtual Networks Module 6: Implement Azure Active Directory In this module, you will learn how to secure identities with Azure Active Directory, and implement users and groups: Overview of Azure Active Directory Users and Groups Domains and Custom Domains Azure AD Identity Protection Implement Conditional Access Configure Fraud Alerts for MFA Implement Bypass Options Configure Trusted IPs Configure Guest Users in Azure AD Manage Multiple Directori Module 7: Implement and Manage Azure Governance In this module, you will learn about managing your subscriptions and accounts, implementing Azure policies, and using Role-Based Access Control: Create Management Groups, Subscriptions, and Resource Groups Overview of Role-Based Access Control (RBAC) Role-Based Access Control (RBAC) Roles Azure AD Access Reviews Implement and Configure an Azure Policy Azure Blueprints Module 8: Implement and Manage Hybrid Identities In this module, you will learn how to install and configure Azure AD Connect and implement Azure AD Connect Health: Install and Configure Azure AD Connect Configure Password Sync and Password Writeback Configure Azure AD Connect Health Module 9: Manage Workloads in Azure In this module, you will learn how to migrate workloads using Azure Migrate, perform VMware agent-based and agent-less migrations, and perform Azure Backup and Azure Site Recovery: Migrate Workloads using Azure Migrate VMware - Agentless Migration VMware - Agent-Based Migration Implement Azure Backup Azure to Azure Site Recovery Implement Azure Update Management Module 10: Implement Cloud Infrastructure Monitoring In this module, you will learn about Azure Monitor, Azure Workbooks, Azure Alerts, Network Watcher, Azure Service Health, Azure Application Insights: Azure Infrastructure Security Monitoring Azure Monitor Azure Workbooks Azure Alerts Log Analytics Network Watcher Azure Service Health Monitor Azure Costs Azure Application Insights Unified Monitoring in Azure Module 11: Manage Security for Applications In this module, you will learn about Azure Key Vault and implementing authentication using Azure Managed Identities: Azure Key Vault Azure Managed Identity Module 12: Implement an Application Infrastructure In this module, you will learn how to create an App Service web App for Containers, create and configure an App Service Plan, and create and manage Deployment Slots: Create and Configure Azure App Service Create an App Service Web App for Containers Create and Configure an App Service Plan Configure Networking for an App Service Create and Manage Deployment Slots Implement Logic Apps Implement Azure Functions Module 13: Implement Container-Based Applications In this module, you will learn how to run Azure Container instances and how to deploy Kubernetes with AKS. Azure Container Instances Configure Azure Kubernetes Service Module 14: Implement NoSQL Databases In this module, you will learn about Azure Table Storage and recommend options for CosmsoDB APIs. Configure Storage Account Tables Select Appropriate CosmosDB APIs Module 15: Implement Azure SQL Databases In this module, you will create an Azure SQL Database single database, create an Azure SQL Database Managed Instance, and review high-availability and Azure SQL database. Configure Azure SQL Database Settings Implement Azure SQL Database Managed Instances High-Availability and Azure SQL Database [-]

Faglig innhold: Dette kurset omhandler skytjenesten Azure og skal gi brukerne av kurset en grunnleggende innføring i hva Azure er og hvordan Azure kan brukes. Kurset ser også på det konseptuelle bak hva vi i dag anser som sky, samt at vi går nærmere inn på hva som er mulig gjennom skytjenester, med hovedfokus på Azure. Læremål: Etter å ha gjennomført emnet skal studenten ha følgende læringsutbytte: KUNNSKAPER Studenten har: - Kunnskap om noen av de ulike tjenestene som blir mest brukt i Azure, deriblant Virtuelle maskiner, SQL-databaser og flere. - Kunnskap om og skal kunne forklare prinsippene Privat, Public og Hybrid Cloud. - Kunnskap om SaaS PaaS, IaaS og eksempler på disse. - Kunnskap om fleksibilitet, muligheter og begrensninger i skytjenester. - Noe kunnskap om hvilke sikkerhetsmessige og politiske utfordringer sky-tjenester kan medføre. FERDIGHETER Studenten kan: - Bruke et utvalg av tjenestene som Azure tilbyr, deriblant Virtuelle Maskiner. - Konseptuelt planlegge et fungerende system som kombinerer ulike tjenester igjennom Azure - Planlegge og styre kostnader i Azure - Grunnleggende sammenligne fordeler og ulemper mellom forskjellige sky-leverandører. Hovedsakelig Azure, AWS, GCP. GENERELL KOMPETANSE Studenten kan: - Begrunne og undersøke på vegne av en bedrift muligheten for skytjenester, eventuelt hvilken kombinasjon som er best tilpasset bedriften. Deretter kunne innføre noen av disse tjenestene. - Kostnadsmessig begrense hvilke tjenester som er hensiktsmessig for en viss bedrift. - Ta hensyn til sikkerhet og at bedrifter kan være underlagt lovgivning som setter begrensinger på sky-tjenester. [-]

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, No-SQL or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security including data access, data policies and standards. They will also design Azure data solutions which includes the optimization, availability and disaster recovery of big data, batch processing and streaming data solutions. This course, together with DP-200, will help you prepare for the new Azure Data Engineer Associate certification.   Course content Module 1: Data Platform Architecture Considerations Core Principles of Creating ArchitecturesDesign with Security in MindPerformance and ScalabilityDesign for availability and recoverabilityDesign for efficiency and operations Module 2: Azure Batch Processing Reference Architectures Lambda architectures from a Batch Mode PerspectiveDesign an Enterprise BI solution in AzureAutomate enterprise BI solutions in AzureArchitect an Enterprise-grade Conversational Bot in Azure Module 3: Azure Real-Time Reference Architectures Lambda architectures for a Real-Time PerspectiveArchitect a stream processing pipeline with Azure Stream AnalyticsDesign a stream processing pipeline with Azure DatabricksCreate an Azure IoT reference architecture Module 4: Data Platform Security Design Considerations Defense in Depth Security ApproachIdentity ManagementInfrastructure ProtectionEncryption UsageNetwork Level ProtectionApplication Security Module 5: Designing for Resiliency and Scale Adjust Workload Capacity by ScalingOptimize Network PerformanceDesign for Optimized Storage and Database PerformanceIdentifying Performance BottlenecksDesign a Highly Available SolutionIncorporate Disaster Recovery into ArchitecturesDesign Backup and Restore strategies Module 6: Design for Efficiency and Operations Maximizing the Efficiency of your Cloud EnvironmentUse Monitoring and Analytics to Gain Operational InsightsUse Automation to Reduce Effort and Error [-]

In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together. [-]

This course provides the underlying knowledge required by all individuals who will be evaluating Microsoft Azure, whether they are administrators, developers, or database administrators. This course will introduce students to the principles of cloud computing. Students will become familiar with how these principles have been implemented in Microsoft Azure. In addition, this course will explain how to implement the core Azure infrastructure, consisting of virtual networks and storage. With this foundation, students will learn how to create the most common Azure services, including Azure Virtual Machines, Web Apps, and Azure SQL Database. The course will conclude by describing features of Azure AD and methods of integrating it with on-premises Active Directory.   Course goals After completing this course, students will be able to: Describe cloud computing, Azure and Azure subscriptions. Use Azure PowerShell, the Azure Software Development Kit (SDK), and the Azure command-line interface (CLI) to manage Azure subscriptions. Create and configure virtual machines in Azure, and manage their disks. Create, configure and monitor web apps in Azure and deploy Azure platform as a service (PaaS) cloud services. Create and configure Azure virtual networks. Create, manage, and configure cloud storage in Azure. Use Azure SQL Database to create, configure, and manage SQL databases. Create and manage Azure AD.   [-]

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. This course is recommended preparation for the Microsoft Certified: Azure Security Engineer Associate    Course goals  After completing this course, students will be able to: 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 Outline Module 1: Identity and Access 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 Understand cloud security Build a network Secure network Implement host security Implement platform security Implement subscription security Module 3: Security Operations 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 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 [-]

This course provides students with the skills and knowledge required to successfully create and maintain the cloud and edge portions of an Azure IoT solution. The course includes full coverage of the core Azure IoT services such as IoT Hub, Device Provisioning Services, Azure Stream Analytics, Time Series Insights, and more. In addition to the focus on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security concerns, and Azure IoT Central. [-]

Gain the necessary knowledge about how to use Azure services to develop, train and deploy machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline.   IMPORTANT NOTICE! This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.   Course content Module 1: Doing Data Science on Azure Introduce the Data Science ProcessOverview of Azure Data Science OptionsIntroduce Azure Notebooks Module 2: Doing Data Science with Azure Machine Learning service Introduce Azure Machine Learning (AML) serviceRegister and deploy ML models with AML service Module 3: Automate Machine Learning with Azure Machine Learning service Automate Machine Learning Model SelectionAutomate Hyperparameter Tuning with HyperDrive Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service Manage and Monitor Machine Learning Models [-]

This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution. [-]

This 5-day course provides students with the key knowledge to help prepare for exam AZ-400, which will lead to the new Azure DevOps Engineer Expert certification. In this course you will learn to design a DevOps strategy and how to implement DevOps Development Processes, Continuous Integration and Delivery, Dependency Management, Application Infrastructure and Continuous Feedback.   Course content This 5 day course contains of these modules: Implementing DevOps Development Processes:You will learn how to use source control, scale Git for an enterprise, and implement and manage build infrastructure. Implementing Continuous Integration:You will learn how to implement continuous integration in an Azure DevOps pipeline, how to manage code quality and security principles, and how to implement a container build strategy. Implementing Continuous Delivery:You will learn how to design a release strategy, set up a release management workflow, and implement an appropriate deployment pattern. Implementing Dependency Management:You will learn how to design a dependency management strategy and manage security and compliance. Implementing Application Infrastructure:You will learn how to implement infrastructure as code and configuration management, how to provision Azure infrastructure using common automation tools, and how to deploy an application infrastructure using various Azure services and deployment methodologies. Students will also learn how to integrate 3rd party deployment tools with Azure, such as Chef and Puppet to incorporate compliance and security into the release pipeline. Implementing Continuous Feedback:You will learn how to recommend and design system feedback mechanisms, implement a process for routing system feedback to development teams, and optimize feedback mechanisms. Designing a DevOps Strategy:You will learn how to plan for transformation, select a project, and create team structures. You will also learn how to develop quality and security strategies. Planning for migrating and consolidating artifacts and source control will also be covered.  [-]

This two-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support. Note: This course provides an Azure pass and time for students to participate in hands-on labs. [-]

This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. This course includes security for identity and access, platform protection, data and applications, and security operations. [-]

This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions. [-]