Oversikt over relevante kurs innen Kurs i programvare og applikasjoner i Horred

Bli en ekspert i å bruke WordPress, verdens mest populære publiseringssystem, med "WordPress: Komplett", et grundig kurs ledet av Espen Faugstad hos Utdannet.no. WordPress er en favoritt blant små og store bedrifter over hele verden og står bak en betydelig andel av nettsider på internett. Dette kurset er designet for å gi deg en omfattende forståelse av WordPress, fra grunnleggende installasjon til avansert tilpasning og administrasjon. Du vil starte med å lære hvordan du kjøper webhotell og domenenavn, og hvordan du laster opp og installerer WordPress ved hjelp av FTP-klienten FileZilla. Kurset dekker også tilpasning av utseendet på din WordPress-nettside, inkludert temaer og utvidelser, samt bruk av det innovative redigeringsverktøyet Gutenberg for å skape innhold. Du vil lære å opprette sider og blogginnlegg, administrere utvidelser og brukere, oversette temaer og utvidelser, og håndtere viktige innstillinger. Videre vil kurset guide deg gjennom hvordan du sikrer og oppdaterer din WordPress-nettside for å holde den trygg og funksjonell. Etter å ha fullført kurset, vil du ha ferdighetene og kunnskapen som trengs for å lage og vedlikeholde en profesjonell WordPress-nettside.   Innhold: Kapittel 1: Introduksjon Kapittel 2: Installere WordPress Kapittel 3: Brukergrensesnitt Kapittel 4: Utseende Kapittel 5: Visuell redigering Kapittel 6: Sider Kapittel 7: Innlegg Kapittel 8: Utvidelser Kapittel 9: Brukere Kapittel 10: Oversette Kapittel 11: Innstillinger Kapittel 12: Sikkerhet Kapittel 13: Avslutning   Varighet: 3 timer og 46 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Tjenesten fungerer på samme måte som strømmetjenester for musikk eller TV-serier. Våre kunder betaler en fast månedspris og får tilgang til alle kursene som er produsert så langt. Plattformen har hatt en god vekst de siste årene og kan skilte med 30.000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling moro, spennende og tilgjengelig for alle – og med oss har vi Innovasjon Norge og Forskningsrådet. [-]

COURSE OVERVIEW . This training collection gives you the hands-on skills to deliver virtual desktops and applications through a single virtual desktop infrastructure platform. You will build on your skills in configuring and managing VMware Horizon® 8 through a combination of lecture and hands-on labs. You learn how to configure and deploy pools of virtual machines and how to provide a customized desktop environment to end-users. Additionally, you will learn how to install and configure a virtual desktop infrastructure platform. You learn how to install and configure VMware Horizon® Connection Server™, VMware Unified Access Gateway™, how to configure a load balancer for use with Horizon, and how to establish Cloud Pod Architecture.  Product Alignment: VMware Horizon 8 V2006 TARGET AUDIENCE Operators, administrators, and architects for VMware Horizon should enroll in this course. These individuals are responsible for the creation, maintenance, and or delivery of remote and virtual desktop services. Additional duties can include the implementation, support, and administration of an organization's end-user computing infrastructure. COURSE OBJECTIVES By the end of the course, you should be able to meet the following objectives: Recognize the features and benefits of Horizon Use VMware vSphere® to create VMs to be used as desktops for Horizon Create and optimize Windows VMs to create Horizon desktops Install and configure Horizon Agent on Horizon desktop Configure and manage the VMware Horizon® Client™ systems and connect the client to a VMware Horizon desktop Configure, manage, and entitle desktop pools of full VMs Configure, manage, and entitle pools of instant-clone desktops Create and use Remote Desktop Services (RDS) desktops and application pools Monitor the Horizon environment using Horizon Console Dashboard and Horizon Help Desk Tool Identify Horizon Connection Server installation, architecture, and requirements. Describe the authentication and certification options for a Horizon environment Recognize the integration process and benefits of VMware Workspace ONE® Access™ and Horizon 8 Discuss performance and scalability options available in Horizon 8 Describe different security options for the Horizon environment COURSE CONTENT 1  Course Introduction Introductions and course logistics Course objectives 2  Introduction to VMware Horizon Recognize the features and benefits of Horizon Describe the conceptual and logical architecture of Horizon 3  Introduction to Use Case Define a use case for your virtual desktop and application infrastructure Convert customer requirements to use-case attributes 4  vSphere for Horizon 8 Explain basic virtualization concepts Use VMware vSphere® Client™ to access your vCenter Server system and VMware ESXi™ hosts Create, provision, and remove a virtual machine 5  VMware Horizon Desktops Create a Windows and a Linux virtual machine using vSphere Optimize and prepare Windows and Linux virtual machines to set up Horizon desktop VMs 6  VMware Horizon Agents Outline the configuration choices when installing Horizon Agent on Windows and Linux virtual machines Create a gold master for Windows Horizon desktops 7  VMware Horizon Pools Identify the steps to set up a template for desktop pool deployment List the steps to add desktops to the VMware Horizon® Connection Server™ inventory Compare dedicated-assignment and floating-assignment pools Outline the steps to create an automated pool Define user entitlement Explain the hierarchy of global, pool-level, and user-level policies 8  VMware Horizon Client Options Describe the different clients and their benefits Access Horizon desktop using various Horizon clients and HTML Configure integrated printing, USB redirection, and the shared folders option Configure session collaboration and media optimization for Microsoft Teams 9  Creating and Managing Instant-Clone Desktop Pools List the advantages of instant clones Explain the provisioning technology used for instant clone desktop pools Set up an automated pool of instant clones Push updated images to instant clone desktop pools 10  Creating RDS Desktop and Application Pools Explain the difference between an RDS desktop pool and an automated pool Compare and contrast an RDS session host pool, a farm, and an application pool Create an RDS desktop pool and an application pool Access RDS desktops and application from Horizon Client Use the instant clone technology to automate the build-out of RDSH farms Configure load-balancing for RDSHs on a farm 11  Monitoring VMware Horizon Monitor the status of the Horizon components using the Horizon Administrator console dashboard Monitor desktop sessions using the HelpDesk tool 12  Course Introduction Introductions and course logistics Course objectives 13  Horizon Connection Server Recognize VMware Horizon reference architecture Identify the Horizon Connection Server supported features Identify the recommended system requirements for Horizon Connection Server Configure the Horizon event database Outline the steps for the initial configuration of Horizon Connection Server Discuss the ADAM database as a critical component of Horizon Connection Server installation 14  VMware Horizon Authentication and Certificates Compare the authentication options that Horizon Connection Server supports Describe the Smartcard authentication options that Horizon Connection Server supports Outline the steps to create a Horizon administrator and custom roles Describe the roles available in a Horizon environment Explain the role that certificates play for Horizon Connection Server Install and configure certificates for Horizon Connection Server Install and configure True SSO in a Horizon environment 15  Workspace ONE Access & Virtual Application Management Recognize the features and benefits of Workspace ONE Access Recognize the Workspace ONE Access console features Explain identity management in Workspace ONE Access Explain access management in Workspace ONE Access Describe the Workspace ONE Access directory integration Describe the Workspace ONE Access directory integration Deploy virtual applications with Workspace services 16  VMware Horizon Performance and Scalability Describe the purpose of a replica connection server Explain how multiple Horizon Connection Server instances in a pod maintain synchronization Describe the 3D rendering options available in Horizon 8 List the steps to configure graphics cards for use in a Horizon environment Configure a load balancer for use in a Horizon environment Explain Horizon Cloud Pod Architecture LDAP replication and VIPA Explain Horizon Cloud Pod Architecture scalability options 17  Managing VMware Horizon Security Explain concepts relevant to secure Horizon connections Describe how to restrict Horizon connections. Discuss the benefits of using Unified Access Gateway List the two-factor authentication options that are supported by Unified Access Gateway List Unified Access Gateway firewall rules Describe the situation in which you might deploy Unified Access Gateway instances with one, two, or three network interfaces TEST CERTIFICATION VMware Certified Professional – Desktop and Mobility 2020 (VCP-DTM 2020) [-]

Excel for Controllere og Økonomisjefer [-]

COURSE OVERVIEW  You will learn to deliver secure remote access to apps and desktops integrating Citrix Virtual Apps and Citrix Desktops with Citrix Gateway.  This course includes an exam. TARGET AUDIENCE Built for IT Professionals working with Citrix ADC and Gateway, with little or no previous Citrix networking experience. Potential students include administrators, engineers, and architects interested in learning how to deploy or manage Citrix ADC or Citrix Gateway environments. COURSE OBJECTIVES  Identify the functionality and capabilities of Citrix ADC and Citrix Gateway Explain basic Citrix ADC and Gateway network architecture Identify the steps and components to secure Citrix ADC Configure Authentication, Authorization, and Auditing Integrate Citrix Gateway with Citrix Virtual Apps, Citrix Virtual Desktops and other Citrix components COURSE CONTENT Module 1: Getting Started Introduction to Citrix ADC Feature and Platform Overview Deployment Options Architectural Overview Setup and Management Module 2: Basic Networking Networking Topology Citrix ADC Components Routing Access Control Lists Module 3: ADC Platforms Citrix ADC MPX Citrix ADC VPX Citrix ADC CPX Citrix ADC SDX Citrix ADC BLX Module 4: High Availability Citrix ADC High Availability High Availability Configuration Managing High Availability In Service Software Upgrade Troubleshooting High Availability Module 5: Load balancing Load Balancing Overview Load Balancing Methods and Monitors Load Balancing Traffic Types Load Balancing Protection Priority Load Balancing Load Balancing Troubleshooting Module 6: SSL Offloading SSL Overview SSL Configuration SSL Offload Troubleshooting SSL Offload SSL Vulnerabilities and Protections Module 7: Security Authentication, Authorization, and Auditing Configuring External Authentication Admin Partitions Module 8: Monitoring and Troubleshooting Citrix ADC Logging Monitoring with SNMP Reporting and Diagnostics AppFlow Functions Citrix Application Delivery Management Troubleshooting Module 9: Citrix Gateway Introduction to Citrix Gateway Advantages and Utilities of Citrix Gateway Citrix Gateway Configuration Common Deployments Module 10: AppExpert Expressions Introduction to AppExpert Policies Default Policies Explore Citrix ADC Gateway Policies Policy Bind Points Using AppExpert with Citrix Gateway Module 11: Authentication, Authorization, and Secure Web Gateway Authentication and Authorization Multi-Factor Authentication nFactor Visualizer SAML authentication Module 12: Managing Client Connections Introduction to Client Connections Session Policies and Profiles Pre and Post Authentication Policies Citrix Gateway Deployment Options Managing User Sessions Module 13: Integration for Citrix Virtual Apps and Desktops Virtual Apps and Desktop Integration Citrix Gateway Integration Citrix Gateway WebFront ICA Proxy Clientless Access and Workspace App Access Fallback SmartControl and SmartAccess for ICA Module 14: Configuring Citrix Gateway Working with Apps on Citrix Gateway RDP Proxy Portal Themes and EULA [-]

Fleksible kurs for fremtidenNy kunnskap skal gi umiddelbar effekt, og samtidig være holdbar og bærekraftig på lang sikt. NTI AS har 30 års erfaring innen kurs og kompetanseheving, og utdanner årlig rundt 10.000 personer i Nord Europa innen CAD, BIM, industri, design og konstruksjon. Fusion 360 Her er et utvalg av temaene du vil lære på kurset: Fusion 360 Dashboard - Data og prosjekthåndtering Formgivning - konseptuelt design og parametrisk Samlinger og 2D-tegninger, inkludert stykklister  Dataimport - håndtering av data fra andre CAD-plattformer Kurset for deg som er industriell designer, arbeider med produktdesign eller annen kompleks forgivning. Kurset har fokus på oppbygning av modeller med kompliserte overflater. Du vil få kunnskap til å skape og korrigere avanserte og komplekse 3D-modeller, og samtidig lage avanserte 3D-modeller på bakgrunn av konseptuelle skisser, vedlikeholde og dokumentere dem i forskjellige varianter.    Dette er et populært kurs, meld deg på nå! Tilpassete kurs for bedrifterVi vil at kundene våre skal være best på det de gjør - hele tiden.  Derfor tenker vi langsiktig om kompetanseutvikling og ser regelmessig kunnskapsløft som en naturlig del av en virksomhet. Vårt kurskonsept bygger på et moderne sett av ulike læringsmiljøer, som gjør det enkelt å finne riktig løsning uansett behov. Ta kontakt med oss på telefon 483 12 300, epost: salg@nticad.no eller les mer på www.nticad.no [-]

PL-300: Microsoft Power BI Data Analyst [-]

COURSE OVERVIEW  Learn how to implement security principles within an enterprise network and how to overlay network design by using solutions such as SD-Access and SD-WAN. The automation and programmability of Enterprise networks is also incorporated in this course. This course will help you: Configure, troubleshoot, and manage enterprise wired and wireless networks Implement security principles within an enterprise network Earn 64 CE credits toward recertification   Please note that this course is a combination of Instructor-Led and Self-Paced Study - 5 days in the classroom and approx. 3 days of self study. The self-study content will be provided as part of the digital courseware that you receive at the beginning of the course and should be part of your preparation for the exam. Additional lab access will be provided at the end of the class, this will be valid for 60 hours or 90 days whichever is the shorter. It will be possible to complete all but 7 of the labs after the class. TARGET AUDIENCE Network engineers involved in the installation, support and troubleshooting of enterprise networks. COURSE OBJECTIVES After completing this course you should be able to: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers Compare and contrast the various hardware and software switching mechanisms and operation, while defining the Ternary Content Addressable Memory (TCAM) and Content Addressable Memory (CAM), along with process switching, fast switching, and Cisco Express Forwarding concepts Troubleshoot Layer 2 connectivity using VLANs and trunking Implementation of redundant switched networks using Spanning Tree Protocol Troubleshooting link aggregation using EtherChannel Describe the features, metrics, and path selection concepts of Enhanced Interior Gateway Routing Protocol (EIGRP) Implementation and optimization of Open Shortest Path First (OSPF)v2 and OSPFv3, including adjacencies, packet types, and areas, summarization, and route filtering for IPv4 and IPv6 Implementing External Border Gateway Protocol (EBGP) interdomain routing, path selection, and single and dual-homed networking Implementing network redundancy using protocols including Hot Standby Routing Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP) Implementing internet connectivity within Enterprise using static and dynamic Network Address Translation (NAT) Describe the virtualization technology of servers, switches, and the various network devices and components Implementing overlay technologies such as Virtual Routing and Forwarding (VRF), Generic Routing Encapsulation (GRE), VPN, and Location Identifier Separation Protocol (LISP) Describe the components and concepts of wireless networking including Radio Frequency (RF) and antenna characteristics, and define the specific wireless standards Describe the various wireless deployment models available, include autonomous Access Point (AP) deployments and cloud-based designs within the centralized Cisco Wireless LAN Controller (WLC) architecture Describe wireless roaming and location services Describe how APs communicate with WLCs to obtain software, configurations, and centralized management Configure and verify Extensible Authentication Protocol (EAP), WebAuth, and Pre-shared Key (PSK) wireless client authentication on a WLC Troubleshoot wireless client connectivity issues using various available tools Troubleshooting Enterprise networks using services such as Network Time Protocol (NTP), Simple Network Management Protocol (SNMP), Cisco Internetwork Operating System (Cisco IOS®) IP Service Level Agreements (SLAs), NetFlow, and Cisco IOS Embedded Event Manager Explain the use of available network analysis and troubleshooting tools, which include show and debug commands, as well as best practices in troubleshooting Configure secure administrative access for Cisco IOS devices using the Command-Line Interface (CLI) access, Role-Based Access Control (RBAC), Access Control List (ACL), and Secure Shell (SSH), and explore device hardening concepts to secure devices from less secure applications, such as Telnet and HTTP Implement scalable administration using Authentication, Authorization, and Accounting (AAA) and the local database, while exploring the features and benefits Describe the enterprise network security architecture, including the purpose and function of VPNs, content security, logging, endpoint security, personal firewalls, and other security features Explain the purpose, function, features, and workflow of Cisco DNA Centre™ Assurance for Intent-Based Networking, for network visibility, proactive monitoring, and application experience Describe the components and features of the Cisco SD-Access solution, including the nodes, fabric control plane, and data plane, while illustrating the purpose and function of the Virtual Extensible LAN (VXLAN) gateways Define the components and features of Cisco SD-WAN solutions, including the orchestration plane, management plane, control plane, and data plane Describe the concepts, purpose, and features of multicast protocols, including Internet Group Management Protocol (IGMP) v2/v3, Protocol-Independent Multicast (PIM) dense mode/sparse mode, and rendezvous points Describe the concepts and features of Quality of Service (QoS), and describe the need within the enterprise network Explain basic Python components and conditionals with script writing and analysis Describe network programmability protocols such as Network Configuration Protocol (NETCONF) and RESTCONF Describe APIs in Cisco DNA Centre and vManage COURSE CONTENT Examining Cisco Enterprise Network Architecture Cisco Enterprise Architecture Model Campus LAN Design Fundamentals Traditional Multilayer Campus Layer Design Campus Distribution Layer Design   Understanding Cisco Switching Paths Layer 2 Switch Operation Control and Data Plane Cisco Switching Mechanisms Implementing Campus LAN Connectivity Revisiting VLANs Trunking with 802.1Q Inter-VLAN Routing Building Redundant Switched Topology Spanning-Tree Protocol Overview Spanning-Tree Protocol Operation Spanning-Tree Protocols Types and Features Multiple Spanning Tree Protocol PortFast and BPDU Implementing Layer 2 Port Aggregation (Self-Study) Need for EtherChannel EtherChannel Mode Interactions Layer 2 EtherChannel Configuration Guidelines EtherChannel Load-Balancing Options Troubleshoot EtherChannel Issues Understanding EIGRP EIGRP Features EIGRP Reliable Transport Establishing EIGRP Neighbour Adjacency EIGRP Metrics EIGRP Path Selection Explore EIGRP Path Selection Explore EIGRP Load Balancing and Sharing EIGRP for IPv6 Compare EIGRP and OSPF Routing Protocols Implementing OSPF Describe OSPF The OSPF Process OSPF Neighbour Adjacencies Building a Link-State Database OSPF LSA Types Compare Single-Area and Multi-Area OSPF OSPF Area Structure OSPF Network Types Optimizing OSPF OSPF Cost OSPF Route Summarization Benefits OSPF Route Filtering Tools Compare OSPFv2 and OSPFv3 Exploring EBGP Interdomain Routing with BGP BGP Operations Types of BGP Neighbour Relationships BGP Path Selection BGP Path Attributes Implementing Network Redundancy Need for Default Gateway Redundancy Define FHRP HSRP Advanced Features Cisco Switch High Availability Features Implementing NAT Define Network Address Translation NAT Address Types Explore NAT Implementations NAT Virtual Interface Introducing Virtualisation Protocols and Techniques Server Virtualisation Need for Network Virtualisation Path Isolation Overview Introducing VRF Introducing Generic Routing Encapsulation Introducing Virtualisation Protocols and Techniques Server Virualization Need for Network Virtualisation Path Isolation Overview Introducing VRF Introducing Generic Routing Encapsulation Understanding Virtual Private Networks and Interfaces Site-to-Site VPN Technologies IPSec VPN Overview IPSec: IKE IPsec Modes IPsec VPN Types Cisco IOS VTI Understanding Wireless Principles Explain RF Principles Describe Watts and Decibels Describe Antenna Characteristics Describe IEEE Wireless Standards Identify Wireless Component Roles Examining Wireless Deployment Options Wireless Deployment Overview Describe Autonomous AP Deployment Describe Centralized Cisco WLC Deployment Describe FlexConnect Deployment Cloud Deployment and Its Effect on Enterprise Networks Describe the Cloud-Managed Meraki Solution Cisco Catalyst 9800 Series Controller Deployment Options Describe Cisco Mobility Express Understanding Wireless Roaming and Location Services Wireless Roaming Overview Mobility Groups and Domains Wireless Roaming Types Describe Location Services Examining Wireless AP Operation Universal AP Priming Explore the Controller Discovery Process Describe AP Failover Explain High Availability Explore AP Modes Understanding Wireless Client Authentication Authentication Methods Pre-Shared Key (PSK) Authentication 802.1X User Authentication Overview PKI and 802.1X Certificate Based Authentication Introduction to Extensible Authentication Protocol EAP-Transport Layer Security (EAP-TLS) Protected Extensible Authentication Protocol EAP-FAST Guest Access with Web Auth Troubleshooting Wireless Client Connectivity Wireless Troubleshooting Tools Overview Spectrum Analysis Wi-Fi Scanning Packet Analysis Cisco AireOS GUI and CLI Tools Cisco Wireless Config Analyzer Express Common Wireless Client Connectivity Issues Overview Client to AP Connectivity WLAN Configuration Infrastructure Configuration Introducing Multicast Protocols (Self-study) Multicast Overview Internet Group Management Protocol Multicast Distribution Trees IP Multicasting Routing Rendezvous Point Introducing QoS (Self-study) Understand the Impact of User Applications on the Network Need for Quality of Service (QoS) Describe QoS Mechanisms Define and Interpret a QoS Policy Implementing Network Services Understanding Network Time Protocol Logging Services Simple Network Management Protocol Introducing NetFlow Flexible NetFlow Understanding Cisco IOS Embedded Event Manager Using Network Analysis Tools Troubleshooting Concepts Network Troubleshooting Procedures: Overview Network Troubleshooting Procedures: Case Study Basic Hardware Diagnostics Filtered Show Commands Cisco IOS IP SLAs Switched Port Analyzer(SPAN) Overview Remote SPAN (RSPAN) Encapsulated Remote Switched Port Analyzer(ERSAPN) Cisco Packet Capture Tools Overview Implementing Infrastructure Security ACL Overview ACL Wildcard Masking Types of ACLs Configure Numbered Access Lists Use ACLs to Filter Network Traffic Apply ACLs to Interfaces Configured Named Access Lists Control Plane Overview Control Plane Policing Implementing Secure Access Control Securing Device Access AAA Framework Overview Benefits of AAA Usage Authentication Options RADIUS and TACACS+ Enabling AAA and Configuring a Local User for Fallback Configuring RADIUS for Console and VTY Access Configuring TACACS+ for Console and VTY Access Configure Authorization and Accounting Understanding Enterprise Network Security Architecture (Self-study) Explore Threatscape Cisco Intrusion Prevention Systems Virtual Private Networks Content Security Logging Endpoint Security Personal Firewalls Antivirus and Antispyware Centralized Endpoint Policy Enforcement Cisco AMP for Endpoints Firewall Concepts TrustSec MACsec Identity Management 802.1X for Wired and Wireless Endpoint Authentication MAC Authentication Bypass Web Authentication Exploring Automation and Assurance Using Cisco DNA Centre (Self-study) Need for Digital Transformation Cisco Digital Network Architecture Cisco Intent-Based Networking Cisco DNA Centre Automation Overview Cisco DNA Centre Platform Overview Cisco DNA Centre Design Cisco DNA Centre Inventory Overview Cisco DNA Centre Configuration and Management Overview Onboarding of Network Devices Using Cisco DNA Centre Cisco DNA Centre Software Image Management Overview Cisco DNA Assurance Key Features and Use Cases Cisco DNA Centre Assurance Implementation Workflow Examining the Cisco SD-Access Solution (Self-study) Need for Cisco SD-Access Cisco SD Access Overview Cisco SD-Access Fabric Components Cisco SD-Access Fabric Control Plane Based on LISP Cisco SD-Access Fabric Control Plane Based on VXLAN Cisco SD-Access Fabric Control Plane Based on Cisco TrustSec Role of Cisco ISE and Cisco DNA Centre in SD-Access Cisco SD-Access Wireless Integration Traditional Campus Interoperating with Cisco SD-Access Understanding the Working Principles of the Cisco SD-WAN Solution (Self-study) Need for Software Defined Networking for WAN Cisco SD-WAN Components and Functions Cisco SD-WAN Orchestration Plane Cisco SD-WAN Management Plane- vManage Cisco SD-WAN Control Plane - vSmart Cisco SD-WAN Data Plane - WAN Edge Cisco SD-WAN Programmatic APIs Cisco SD-WAN Automation and Analytics Cisco SD-WAN Terminology Cisco IOS XE and IOS XE SD-WAN Software Flexible Controller Deployment Options Cisco SD-WAN Security Understanding the Basics of Python Programming Describe Python Concepts String Data Types Numbers Data Types Boolean Data Types Script Writing and Execution Analyse Code Introducing Network Programmability Protocols Configuration Management Evolution of Device Management and Programmability Data Encoding Formats Understanding JSON Model Driven Programmability Stack Introduction to YANG Types of YANG Models Understanding NETCONF Explain NETCONF and YANG REST Understanding RESTCONF Protocol Introducing APIs in Cisco DNA Centre and vManage (Self-study) Application Programming Interfaces REST API Response Codes and Results REST API Security Cisco DNA Centre APIs Cisco SD-WAN REST API Overview Labs Lab 1: Investigate the CAM Lab 2: Analyse Cisco Express Forwarding Lab 3: Troubleshoot VLAN and Trunk Issues Lab 4: Tuning STP and Configuring RSTP Lab 5: Configure Multiple Spanning Tree Protocol Lab 6: Troubleshoot EtherChannel Lab 7: Implementing Multiarea OSPF Lab 8: Implement OSPF Tuning Lab 9: Apply OSPF Optimization Lab 10: Implement OSPFv3 Lab 11: Configure and Verify Single-Homed EBGP Lab 12: Implementing HSRP Lab 13: Configure VRRP Lab 14: Implement NAT Lab 15: Configure and Verify VRF Lab 16: Configure and Verify a GRE Tunnel Lab 17: Configure Static VTI Point-to-Point Tunnels Lab 18: Configure Wireless Client Authentication in a Centralized Deployment (No Extended Access) Lab 19: Troubleshoot Wireless Client Connectivity Issues (No Extended Access) Lab 20: Configure Syslog Lab 21: Configure and Verify Flexible NetFlow Lab 22: Configuring Cisco IOS Embedded Event Manager (EEM) Lab 23: Troubleshoot Connectivity and Analyse Traffic with Ping, Traceroute and Debug Lab 24: Configure and Verify Cisco IP SLA's Lab 25: Configure Standard and Extended ACLs Lab 26: Configure Control Plane Policing Lab 27: Implement Local and Server-Based AAA (No Extended Access) Lab 28: Writing and Troubleshooting Python Scripts (No Extended Access) Lab 29: Explore JSON Objects and Scripts in Python (No Extended Access) Lab 30: Use NETCONF via SSH (No Extended Access) Lab 31: Use RESTCONF with Cisco IOS XE Software (No Extended Access) [-]

DP-900: Microsoft Azure Data Fundamentals [-]

COURSE OVERVIEW  This course prepares you to administer a vSphere infrastructure for an organization of any size. This course is the foundation for most VMware technologies in the software-defined data center. Product Alignment: VMware ESXi 8.0 VMware vCenter 8.0 TARGET AUDIENCE System administrators System engineers COURSE OBJECTIVES By the end of the course, you should be able to meet the following objectives: Install and configure ESXi hosts Deploy and configure vCenter Use the vSphere Client to create the vCenter inventory and assign roles to vCenter users Create virtual networks using vSphere standard switches and distributed switches Create and configure datastores using storage technologies supported by vSphere Use the vSphere Client to create virtual machines, templates, clones, and snapshots Create content libraries for managing templates and deploying virtual machines Manage virtual machine resource allocation Migrate virtual machines with vSphere vMotion and vSphere Storage vMotion Create and configure a vSphere cluster that is enabled with vSphere High Availability (HA) and vSphere Distributed Resource Scheduler Manage the life cycle of vSphere to keep vCenter, ESXi hosts, and virtual machines up to date COURSE CONTENT 1 Course Introduction Introductions and course logistics Course objectives 2 vSphere and Virtualization Overview Explain basic virtualization concepts Describe how vSphere fits in the software-defined data center and the cloud infrastructure Recognize the user interfaces for accessing vSphere Explain how vSphere interacts with CPUs, memory, networks, storage, and GPUs 3 Installing and Configuring ESXi Install an ESXi host Recognize ESXi user account best practices Configure the ESXi host settings using the DCUI and VMware Host Client 4 Deploying and Configuring vCenter Recognize ESXi hosts communication with vCenter Deploy vCenter Server Appliance Configure vCenter settings Use the vSphere Client to add and manage license keys Create and organize vCenter inventory objects Recognize the rules for applying vCenter permissions View vCenter logs and events 5 Configuring vSphere Networking Configure and view standard switch configurations Configure and view distributed switch configurations Recognize the difference between standard switches and distributed switches Explain how to set networking policies on standard and distributed switches 6 Configuring vSphere Storage Recognize vSphere storage technologies Identify types of vSphere datastores Describe Fibre Channel components and addressing Describe iSCSI components and addressing Configure iSCSI storage on ESXi Create and manage VMFS datastores Configure and manage NFS datastores 7 Deploying Virtual Machines Create and provision VMs Explain the importance of VMware Tools Identify the files that make up a VM Recognize the components of a VM Navigate the vSphere Client and examine VM settings and options Modify VMs by dynamically increasing resources Create VM templates and deploy VMs from them Clone VMs Create customization specifications for guest operating systems Create local, published, and subscribed content libraries Deploy VMs from content libraries Manage multiple versions of VM templates in content libraries 8 Managing Virtual Machines Recognize the types of VM migrations that you can perform within a vCenter instance and across vCenter instances Migrate VMs using vSphere vMotion Describe the role of Enhanced vMotion Compatibility in migrations Migrate VMs using vSphere Storage vMotion Take a snapshot of a VM Manage, consolidate, and delete snapshots Describe CPU and memory concepts in relation to a virtualized environment Describe how VMs compete for resources Define CPU and memory shares, reservations, and limits 9 Deploying and Configuring vSphere Clusters Create a vSphere cluster enabled for vSphere DRS and vSphere HA View information about a vSphere cluster Explain how vSphere DRS determines VM placement on hosts in the cluster Recognize use cases for vSphere DRS settings Monitor a vSphere DRS cluster Describe how vSphere HA responds to various types of failures Identify options for configuring network redundancy in a vSphere HA cluster Recognize vSphere HA design considerations Recognize the use cases for various vSphere HA settings Configure a vSphere HA cluster Recognize when to use vSphere Fault Tolerance 10 Managing the vSphere Lifecycle Enable vSphere Lifecycle Manager in a vSphere cluster Describe features of the vCenter Update Planner Run vCenter upgrade prechecks and interoperability reports Recognize features of vSphere Lifecycle Manager Distinguish between managing hosts using baselines and managing hosts using images Describe how to update hosts using baselines Describe ESXi images Validate ESXi host compliance against a cluster image and update ESXi hosts Update ESXi hosts using vSphere Lifecycle Manager Describe vSphere Lifecycle Manager automatic recommendations Use vSphere Lifecycle Manager to upgrade VMware Tools and VM hardware   [-]

Behersk kunsten å skape overbevisende presentasjoner med "PowerPoint: Komplett", et omfattende kurs ledet av Espen Faugstad hos Utdannet.no. Microsoft PowerPoint er en vital del av moderne kommunikasjon, brukt utstrakt i både næringslivet og utdanning. Dette kurset er designet for å gi deg fullstendig mestring av PowerPoint 2019, uansett om du er nybegynner eller ønsker å forbedre dine eksisterende ferdigheter. Kurset starter med grunnleggende, som å kjøpe og installere PowerPoint, og lærer deg å navigere i brukergrensesnittet. Du vil lære å lage presentasjoner som kombinerer tekst, bilder og illustrasjoner. Videre lærer kurset deg hvordan du kan lage din egen PowerPoint-mal, og bruker overganger og animasjoner for å gi presentasjonen din liv. Du vil også bli veiledet gjennom prosessen med å ferdigstille og holde en effektiv presentasjon. Ved kursets slutt vil du være i stand til å skape profesjonelle presentasjoner som engasjerer og informerer ditt publikum. Du vil ha en dyp forståelse av alle aspekter av PowerPoint, fra å lage innhold til å dele og presentere det på en effektiv måte.   Innhold: Kapittel 1: Introduksjon Kapittel 2: Ny presentasjon Kapittel 3: Tekst Kapittel 4: Bilder Kapittel 5: Illustrasjoner Kapittel 6: Media Kapittel 7: Lysbildemal Kapittel 8: Overganger og animasjoner Kapittel 9: Ferdigstill presentasjon Kapittel 10: Start presentasjon Kapittel 11: Del presentasjon Kapittel 12: Avslutning   Varighet: 3 timer og 29 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Tjenesten fungerer på samme måte som strømmetjenester for musikk eller TV-serier. Våre kunder betaler en fast månedspris og får tilgang til alle kursene som er produsert så langt. Plattformen har hatt en god vekst de siste årene og kan skilte med 30.000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling moro, spennende og tilgjengelig for alle – og med oss har vi Innovasjon Norge og Forskningsrådet. [-]

COURSE OVERVIEW Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics. TARGET AUDIENCE The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure. COURSE OBJECTIVES   Explore compute and storage options for data engineering workloads in Azure Design and Implement the serving layer Understand data engineering considerations Run interactive queries using serverless SQL pools Explore, transform, and load data into the Data Warehouse using Apache Spark Perform data Exploration and Transformation in Azure Databricks Ingest and load Data into the Data Warehouse Transform Data with Azure Data Factory or Azure Synapse Pipelines Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines Optimize Query Performance with Dedicated SQL Pools in Azure Synapse Analyze and Optimize Data Warehouse Storage Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link Perform end-to-end security with Azure Synapse Analytics Perform real-time Stream Processing with Stream Analytics Create a Stream Processing Solution with Event Hubs and Azure Databricks Build reports using Power BI integration with Azure Synpase Analytics Perform Integrated Machine Learning Processes in Azure Synapse Analytics COURSE CONTENT Module 1: Explore compute and storage options for data engineering workloads This module provides an overview of the Azure compute and storage technology options that are available to data engineers building analytical workloads. This module teaches ways to structure the data lake, and to optimize the files for exploration, streaming, and batch workloads. The student will learn how to organize the data lake into levels of data refinement as they transform files through batch and stream processing. Then they will learn how to create indexes on their datasets, such as CSV, JSON, and Parquet files, and use them for potential query and workload acceleration. Introduction to Azure Synapse Analytics Describe Azure Databricks Introduction to Azure Data Lake storage Describe Delta Lake architecture Work with data streams by using Azure Stream Analytics Lab 1: Explore compute and storage options for data engineering workloads Combine streaming and batch processing with a single pipeline Organize the data lake into levels of file transformation Index data lake storage for query and workload acceleration After completing module 1, students will be able to: Describe Azure Synapse Analytics Describe Azure Databricks Describe Azure Data Lake storage Describe Delta Lake architecture Describe Azure Stream Analytics Module 2: Design and implement the serving layer This module teaches how to design and implement data stores in a modern data warehouse to optimize analytical workloads. The student will learn how to design a multidimensional schema to store fact and dimension data. Then the student will learn how to populate slowly changing dimensions through incremental data loading from Azure Data Factory. Design a multidimensional schema to optimize analytical workloads Code-free transformation at scale with Azure Data Factory Populate slowly changing dimensions in Azure Synapse Analytics pipelines Lab 2: Designing and Implementing the Serving Layer Design a star schema for analytical workloads Populate slowly changing dimensions with Azure Data Factory and mapping data flows After completing module 2, students will be able to: Design a star schema for analytical workloads Populate a slowly changing dimensions with Azure Data Factory and mapping data flows Module 3: Data engineering considerations for source files This module explores data engineering considerations that are common when loading data into a modern data warehouse analytical from files stored in an Azure Data Lake, and understanding the security consideration associated with storing files stored in the data lake. Design a Modern Data Warehouse using Azure Synapse Analytics Secure a data warehouse in Azure Synapse Analytics Lab 3: Data engineering considerations Managing files in an Azure data lake Securing files stored in an Azure data lake After completing module 3, students will be able to: Design a Modern Data Warehouse using Azure Synapse Analytics Secure a data warehouse in Azure Synapse Analytics Module 4: Run interactive queries using Azure Synapse Analytics serverless SQL pools In this module, students will learn how to work with files stored in the data lake and external file sources, through T-SQL statements executed by a serverless SQL pool in Azure Synapse Analytics. Students will query Parquet files stored in a data lake, as well as CSV files stored in an external data store. Next, they will create Azure Active Directory security groups and enforce access to files in the data lake through Role-Based Access Control (RBAC) and Access Control Lists (ACLs). Explore Azure Synapse serverless SQL pools capabilities Query data in the lake using Azure Synapse serverless SQL pools Create metadata objects in Azure Synapse serverless SQL pools Secure data and manage users in Azure Synapse serverless SQL pools Lab 4: Run interactive queries using serverless SQL pools Query Parquet data with serverless SQL pools Create external tables for Parquet and CSV files Create views with serverless SQL pools Secure access to data in a data lake when using serverless SQL pools Configure data lake security using Role-Based Access Control (RBAC) and Access Control List After completing module 4, students will be able to: Understand Azure Synapse serverless SQL pools capabilities Query data in the lake using Azure Synapse serverless SQL pools Create metadata objects in Azure Synapse serverless SQL pools Secure data and manage users in Azure Synapse serverless SQL pools Module 5: Explore, transform, and load data into the Data Warehouse using Apache Spark This module teaches how to explore data stored in a data lake, transform the data, and load data into a relational data store. The student will explore Parquet and JSON files and use techniques to query and transform JSON files with hierarchical structures. Then the student will use Apache Spark to load data into the data warehouse and join Parquet data in the data lake with data in the dedicated SQL pool. Understand big data engineering with Apache Spark in Azure Synapse Analytics Ingest data with Apache Spark notebooks in Azure Synapse Analytics Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics Integrate SQL and Apache Spark pools in Azure Synapse Analytics Lab 5: Explore, transform, and load data into the Data Warehouse using Apache Spark Perform Data Exploration in Synapse Studio Ingest data with Spark notebooks in Azure Synapse Analytics Transform data with DataFrames in Spark pools in Azure Synapse Analytics Integrate SQL and Spark pools in Azure Synapse Analytics After completing module 5, students will be able to: Describe big data engineering with Apache Spark in Azure Synapse Analytics Ingest data with Apache Spark notebooks in Azure Synapse Analytics Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics Integrate SQL and Apache Spark pools in Azure Synapse Analytics Module 6: Data exploration and transformation in Azure Databricks This module teaches how to use various Apache Spark DataFrame methods to explore and transform data in Azure Databricks. The student will learn how to perform standard DataFrame methods to explore and transform data. They will also learn how to perform more advanced tasks, such as removing duplicate data, manipulate date/time values, rename columns, and aggregate data. Describe Azure Databricks Read and write data in Azure Databricks Work with DataFrames in Azure Databricks Work with DataFrames advanced methods in Azure Databricks Lab 6: Data Exploration and Transformation in Azure Databricks Use DataFrames in Azure Databricks to explore and filter data Cache a DataFrame for faster subsequent queries Remove duplicate data Manipulate date/time values Remove and rename DataFrame columns Aggregate data stored in a DataFrame After completing module 6, students will be able to: Describe Azure Databricks Read and write data in Azure Databricks Work with DataFrames in Azure Databricks Work with DataFrames advanced methods in Azure Databricks Module 7: Ingest and load data into the data warehouse This module teaches students how to ingest data into the data warehouse through T-SQL scripts and Synapse Analytics integration pipelines. The student will learn how to load data into Synapse dedicated SQL pools with PolyBase and COPY using T-SQL. The student will also learn how to use workload management along with a Copy activity in a Azure Synapse pipeline for petabyte-scale data ingestion. Use data loading best practices in Azure Synapse Analytics Petabyte-scale ingestion with Azure Data Factory Lab 7: Ingest and load Data into the Data Warehouse Perform petabyte-scale ingestion with Azure Synapse Pipelines Import data with PolyBase and COPY using T-SQL Use data loading best practices in Azure Synapse Analytics After completing module 7, students will be able to: Use data loading best practices in Azure Synapse Analytics Petabyte-scale ingestion with Azure Data Factory Module 8: Transform data with Azure Data Factory or Azure Synapse Pipelines This module teaches students how to build data integration pipelines to ingest from multiple data sources, transform data using mapping data flowss, and perform data movement into one or more data sinks. Data integration with Azure Data Factory or Azure Synapse Pipelines Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines Lab 8: Transform Data with Azure Data Factory or Azure Synapse Pipelines Execute code-free transformations at scale with Azure Synapse Pipelines Create data pipeline to import poorly formatted CSV files Create Mapping Data Flows After completing module 8, students will be able to: Perform data integration with Azure Data Factory Perform code-free transformation at scale with Azure Data Factory Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines In this module, you will learn how to create linked services, and orchestrate data movement and transformation using notebooks in Azure Synapse Pipelines. Orchestrate data movement and transformation in Azure Data Factory Lab 9: Orchestrate data movement and transformation in Azure Synapse Pipelines Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines After completing module 9, students will be able to: Orchestrate data movement and transformation in Azure Synapse Pipelines Module 10: Optimize query performance with dedicated SQL pools in Azure Synapse In this module, students will learn strategies to optimize data storage and processing when using dedicated SQL pools in Azure Synapse Analytics. The student will know how to use developer features, such as windowing and HyperLogLog functions, use data loading best practices, and optimize and improve query performance. Optimize data warehouse query performance in Azure Synapse Analytics Understand data warehouse developer features of Azure Synapse Analytics Lab 10: Optimize Query Performance with Dedicated SQL Pools in Azure Synapse Understand developer features of Azure Synapse Analytics Optimize data warehouse query performance in Azure Synapse Analytics Improve query performance After completing module 10, students will be able to: Optimize data warehouse query performance in Azure Synapse Analytics Understand data warehouse developer features of Azure Synapse Analytics Module 11: Analyze and Optimize Data Warehouse Storage In this module, students will learn how to analyze then optimize the data storage of the Azure Synapse dedicated SQL pools. The student will know techniques to understand table space usage and column store storage details. Next the student will know how to compare storage requirements between identical tables that use different data types. Finally, the student will observe the impact materialized views have when executed in place of complex queries and learn how to avoid extensive logging by optimizing delete operations. Analyze and optimize data warehouse storage in Azure Synapse Analytics Lab 11: Analyze and Optimize Data Warehouse Storage Check for skewed data and space usage Understand column store storage details Study the impact of materialized views Explore rules for minimally logged operations After completing module 11, students will be able to: Analyze and optimize data warehouse storage in Azure Synapse Analytics Module 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link In this module, students will learn how Azure Synapse Link enables seamless connectivity of an Azure Cosmos DB account to a Synapse workspace. The student will understand how to enable and configure Synapse link, then how to query the Azure Cosmos DB analytical store using Apache Spark and SQL serverless. Design hybrid transactional and analytical processing using Azure Synapse Analytics Configure Azure Synapse Link with Azure Cosmos DB Query Azure Cosmos DB with Apache Spark pools Query Azure Cosmos DB with serverless SQL pools Lab 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link Configure Azure Synapse Link with Azure Cosmos DB Query Azure Cosmos DB with Apache Spark for Synapse Analytics Query Azure Cosmos DB with serverless SQL pool for Azure Synapse Analytics After completing module 12, students will be able to: Design hybrid transactional and analytical processing using Azure Synapse Analytics Configure Azure Synapse Link with Azure Cosmos DB Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics Query Azure Cosmos DB with SQL serverless for Azure Synapse Analytics Module 13: End-to-end security with Azure Synapse Analytics In this module, students will learn how to secure a Synapse Analytics workspace and its supporting infrastructure. The student will observe the SQL Active Directory Admin, manage IP firewall rules, manage secrets with Azure Key Vault and access those secrets through a Key Vault linked service and pipeline activities. The student will understand how to implement column-level security, row-level security, and dynamic data masking when using dedicated SQL pools. Secure a data warehouse in Azure Synapse Analytics Configure and manage secrets in Azure Key Vault Implement compliance controls for sensitive data Lab 13: End-to-end security with Azure Synapse Analytics Secure Azure Synapse Analytics supporting infrastructure Secure the Azure Synapse Analytics workspace and managed services Secure Azure Synapse Analytics workspace data After completing module 13, students will be able to: Secure a data warehouse in Azure Synapse Analytics Configure and manage secrets in Azure Key Vault Implement compliance controls for sensitive data Module 14: Real-time Stream Processing with Stream Analytics In this module, students will learn how to process streaming data with Azure Stream Analytics. The student will ingest vehicle telemetry data into Event Hubs, then process that data in real time, using various windowing functions in Azure Stream Analytics. They will output the data to Azure Synapse Analytics. Finally, the student will learn how to scale the Stream Analytics job to increase throughput. Enable reliable messaging for Big Data applications using Azure Event Hubs Work with data streams by using Azure Stream Analytics Ingest data streams with Azure Stream Analytics Lab 14: Real-time Stream Processing with Stream Analytics Use Stream Analytics to process real-time data from Event Hubs Use Stream Analytics windowing functions to build aggregates and output to Synapse Analytics Scale the Azure Stream Analytics job to increase throughput through partitioning Repartition the stream input to optimize parallelization After completing module 14, students will be able to: Enable reliable messaging for Big Data applications using Azure Event Hubs Work with data streams by using Azure Stream Analytics Ingest data streams with Azure Stream Analytics Module 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks In this module, students will learn how to ingest and process streaming data at scale with Event Hubs and Spark Structured Streaming in Azure Databricks. The student will learn the key features and uses of Structured Streaming. The student will implement sliding windows to aggregate over chunks of data and apply watermarking to remove stale data. Finally, the student will connect to Event Hubs to read and write streams. Process streaming data with Azure Databricks structured streaming Lab 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks Explore key features and uses of Structured Streaming Stream data from a file and write it out to a distributed file system Use sliding windows to aggregate over chunks of data rather than all data Apply watermarking to remove stale data Connect to Event Hubs read and write streams After completing module 15, students will be able to: Process streaming data with Azure Databricks structured streaming Module 16: Build reports using Power BI integration with Azure Synpase Analytics In this module, the student will learn how to integrate Power BI with their Synapse workspace to build reports in Power BI. The student will create a new data source and Power BI report in Synapse Studio. Then the student will learn how to improve query performance with materialized views and result-set caching. Finally, the student will explore the data lake with serverless SQL pools and create visualizations against that data in Power BI. Create reports with Power BI using its integration with Azure Synapse Analytics Lab 16: Build reports using Power BI integration with Azure Synpase Analytics Integrate an Azure Synapse workspace and Power BI Optimize integration with Power BI Improve query performance with materialized views and result-set caching Visualize data with SQL serverless and create a Power BI report After completing module 16, students will be able to: Create reports with Power BI using its integration with Azure Synapse Analytics Module 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics This module explores the integrated, end-to-end Azure Machine Learning and Azure Cognitive Services experience in Azure Synapse Analytics. You will learn how to connect an Azure Synapse Analytics workspace to an Azure Machine Learning workspace using a Linked Service and then trigger an Automated ML experiment that uses data from a Spark table. You will also learn how to use trained models from Azure Machine Learning or Azure Cognitive Services to enrich data in a SQL pool table and then serve prediction results using Power BI. Use the integrated machine learning process in Azure Synapse Analytics Lab 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics Create an Azure Machine Learning linked service Trigger an Auto ML experiment using data from a Spark table Enrich data using trained models Serve prediction results using Power BI After completing module 17, students will be able to: Use the integrated machine learning process in Azure Synapse Analytics     [-]

Excel Grunnkurs [-]

Power Pivot - Microsoft Excel [-]

Brukergrensesnittet. Opprette profiler med tilpasset oppsett. Verktøy for digital dokumentbehandling, slik som å sette sammen PDF’er, opprette hyperkoblinger, påføre digitale signaturer og stempler. Redigere innhold i PDF-filer Automatisk sammenligning Markeringsverktøy for bruk under designgjennomgang, etc. Bruk av Tool Chest til å spare symboler og tilpassede verktøy for enkel gjenbruk Bruk av markeringslisten til å sette status, kommentere, filtrere og rapportere Kalibrering og måleverktøy. Intro til mengdeberegning Intro til skybasert samarbeid med Studio Projects og Sessions   På kurset lærer du alle de viktigste funksjonene i Revu, noe som gir deg et godt overblikk og utgangspunkt for å jobbe videre med programmet. Du blir i stand til å digitalisere og effektivisere en rekke manuelle arbeidsprosesser, med tidsbesparelse og bedre kvalitet som resultat.   [-]

This course is intended for students, architects, engineers, contractors, managers, and those who wish to make their creative ideas feasible and enhance collaboration with other stakeholders in simple to the most complex projects. Designed to provide you with a comprehensive understanding of the Revit Architecture software and the many opportunities it offers, covering not only the features and techniques of modeling but also providing you with theoretical knowledge merged with the correct design principles applied in the industry within different workflows. From designing a real-built construction, 3D modeling the asset to collaborating with other disciplines and generating plans, sections, facades, and perspectives, you will gain hands-on practical experience, tips, and tricks from our expert instructors. Moreover, the education covers schedules and quantity take-offs, preparing sheets for printing, and how to apply relevant NTI TOOLS to enhance your designs. With our flexible and interactive learning options, you can also progress at your own pace and revisit course materials as needed. This course is a unique combination of theoretical review and practical exercises, ensuring that you gain both the knowledge and skills necessary to succeed in your carrier and your coming projects. Completing the course will provide you with a certificate to formally support your acquired skills.   Objective Finalizing the training, you will be able to confidently sketch and design projects in Revit and understand the BIM processes, setting you on a path towards creating professional-quality designs. Introduction to Building Information Modelling (BIM), the past, the present, the future processes - Understanding the information management processes - Understanding the pillars of BIM and the importance of tools within processes - Creating the 3D digital model of an asset with the right information - Communication, collaboration, and coordination with all discipline models - Using the embedded information for different workflows and analysis - Generation of plans - Schedules and Quantity take-off - Preparing drawings for printing and communication to stakeholders The course is a combination of theoretical examination and practical exercises. It can also be Customized, and personalized ensuring the curriculum suits the needs of individuals, companies, or project teams. [-]