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Nettkurs 4 dager 23 000 kr
08 Feb
22 Feb
08 Mar
This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azur... [+]
Prerequisites Successful Azure Administrators start this role with experience on operating systems, virtualization, cloud infrastructure, storage structures, and networking. Understanding of on-premises virtualization technologies, including: VMs, virtual networking, and virtual hard disks. Understanding of network configuration, including TCP/IP, Domain Name System (DNS), virtual private networks (VPNs), firewalls, and encryption technologies. Understanding of Active Directory concepts, including domains, forests, domain controllers, replication, Kerberos protocol, and Lightweight Directory Access Protocol (LDAP). Understanding of resilience and disaster recovery, including backup and restore operations. Agenda Module 1: Identity -Azure Active Directory-Users and Groups Module 2: Governance and Compliance -Subscriptions and Accounts-Azure Policy-Role-based Access Control (RBAC) Module 3: Azure Administration -Azure Resource Manager-Azure Portal and Cloud Shell-Azure PowerShell and CLI-ARM Templates Module 4: Virtual Networking -Virtual Networks-IP Addressing-Network Security groups-Azure Firewall-Azure DNS Module 5: Intersite Connectivity -VNet Peering-VPN Gateway Connections-ExpressRoute and Virtual WAN Module 6: Network Traffic Management -Network Routing and Endpoints-Azure Load Balancer-Azure Application Gateway-Traffic Manager Module 7: Azure Storage -Storage Accounts-Blob Storage-Storage Security-Azure Files and File Sync-Managing Storage Module 8: Azure Virtual Machines -Virtual Machine Planning-Creating Virtual Machines-Virtual Machine Availability-Virtual Machine Extensions Module 9: Serverless Computing -Azure App Service Plans-Azure App Service-Container Services-Azure Kubernetes Service Module 10: Data Protection -File and Folder Backups-Virtual Machine Backup Module 11: Monitoring -Azure Monitor-Azure Alerts-Log Analytics-Network Watcher [-]
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Nettundervisning 2 dager 14 000 kr
This course will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. The course can be taken as an optional f... [+]
The course will cover general cloud computing concepts as well as general cloud computing models and services such as Public, Private and Hybrid cloud and Infrastructure-as-a-Service (IaaS), Platform-as-a-Service(PaaS) and Software-as-a-Service (SaaS). It will also cover some core Azure services and solutions, as well as key Azure pillar services concerning security, privacy, compliance and trust. It will finally cover pricing and support services available.   Agenda Module 1: Cloud Concepts -Learning Objectives-Why Cloud Services?-Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS)-Public, Private, and Hybrid cloud models Module 2: Core Azure Services -Core Azure architectural components-Core Azure Services and Products-Azure Solutions-Azure management tools Module 3: Security, Privacy, Compliance and Trust -Securing network connectivity in Azure-Core Azure Identity services-Security tools and features-Azure governance methodologies-Monitoring and Reporting in Azure-Privacy, Compliance and Data Protection standards in Azure Module 4: Azure Pricing and Support -Azure subscriptions-Planning and managing costs-Support options available with Azure-Service lifecycle in Azure [-]
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Nettundervisning 2 dager 18 500 kr
This course begins with an overview of the different cloud computing models and services provided by the major public cloud providers. Several cloud computing concerns li... [+]
Course Description This course then focuses on enterprise application to cloud concerns including planning and executing a migration, building the business case, managing application dependencies, selecting a proof of concept, and serverless/managed services. A series of instructor-led demonstrations and hands-on activities provide students with practical, hands-on experience. Learning Objectives Learn what technologies enable cloud computing Understand the definition and characteristics of cloud computing Compare service models: IaaS, PaaS, SaaS, Serverless Develop the business case for a cloud migration Plan a successful cloud migration Decipher the risks of both development and security with cloud computing Analyze the costs of using cloud computing and an approach to calculating them Objection handling when dealing with projects situations around risk All courses will be delivered in partnership with ROI Training, Google Cloud Premier Partner, using a Google Authorized Trainer. Course Outline Unit 1: Enabling Technologies -Networking-Virtualization-Overview of Virtualization-Hypervisors and Containers-Security and Virtualization-Multi-tenancy Unit 2: Cloud Computing Concepts -Cloud Definition-Characteristics of Clouds-Cloud Service and Deployment Models-Public Cloud Products and Services Unit 3: Cloud Service Models -Comparing Services Offered by Google Cloud Platform (GCP), Amazon Web Services (AWS), and Azure-Compute Services-Storage Services-Kubernetes Services-Serverless and Managed Services-Big Data and Machine Learning Unit 4: Building a Business Case for the Cloud -Economic and Financial-Understand the Cloud Cost Model-Calculating the Cost of a Cloud Solution-Transform Capital Expenditures to Operating Expenditures-Agility-Lower Risk of Adopting and Evaluating New Technology-Reduce Time to Market-Quickly React as Markets and Requirements Change-Risk Mitigation-High Quality Infrastructure-Reduce Downtime-Cloud SLAs-Leveraging Hybrid and Multi-Cloud Solutions-Staff Utilization-Eliminate Mundane Operational Tasks-Harness Monitoring and Logging-Onboarding Applications and Users Unit 5: Migrating to the Public Cloud -Phases in a Successful Migration-Assessment-Proof of Concept-Data Migration-Application Migration-Employ Cloud Native Services-Cloud Native Development-Selecting Workloads-Backup / Disaster Recovery-Packaged Enterprise Software-Custom Applications-Open-Source Applications Unit 6: Security and the Cloud -Cloud-based Security Issues-Shared Responsibility Model-Security Auditing in the Cloud-Compliance with Regulatory Constraints [-]
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9 500 kr
Praktisk maskinlæring med eksempler i R, Python og Azure ML. [+]
Maskinlæring inngår som en naturlig del av faget kunstig intelligens (AI), og har de senere årene fått stor oppmerksomhet. I dette kurset vil du bli kjent med mange av metodene som benyttes i maskinlæring. Kurset har en praktisk tilnærming der du anvender metodene på forskjellige case. Hver kursdeltager har tilgang på egen kursPC, og velger selv om han/hun vil arbeid i R, Python, Azure ML, eller bare være passiv deltager. Kursinnhold Lineær og ulineær regresjon Logistisk regresjon Trebaserte metoder (Random forrest) Support vector machines og Kernels Nevrale nettverk (prediksjon og læring) Avanserte nevrale nettverk Ikke-veiledet læring K-means clustering Prinsipal komponentanalyse (PCA) Overparameterisering og hyperparametertilpasning Dimensjonsreduksjon og regularisering Eksempler i R, Python og Azure ML [-]
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