Oversikt over relevante kurs innen IT-kurs i Kungsbacka

Modulen dekker bruk og effekt av Lean og agile arbeidsmåter, og hvordan dette kan utnyttes til fordel for organisasjonen. Kurset vil gi kandidatene en praktisk og strategisk metode for å planlegge og levere kontinuerlig forbedring med nødvendig smidighet.  E-læringskurset inneholder 18 timer med undervisning, og er delt inn i 12 moduler. Les mer om ITIL® 4 på AXELOS sine websider Du vil motta en e-post med tilgang til e-læringen, sertifiseringsvoucher og digital bok fra Peoplecert. Du avtaler tid for sertifiseringen som beskrevet i e-posten fra Peoplecert.   [-]

AZ-1008: Administer Active Directory Domain Services [-]

MS-101: Microsoft 365 Mobility and Security [-]

TARGET AUDIENCE Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C#, Python, or JavaScript and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure. COURSE OBJECTIVES After completing this course you should be able to: Describe considerations for creating AI-enabled applications Identify Azure services for AI application development Provision and consume cognitive services in Azure Manage cognitive services security Monitor cognitive services Use a cognitive services container Use the Text Analytics cognitive service to analyze text Use the Translator cognitive service to translate text Use the Speech cognitive service to recognize and synthesize speech Use the Speech cognitive service to translate speech Create a Language Understanding app Create a client application for Language Understanding Integrate Language Understanding and Speech Use QnA Maker to create a knowledge base Use a QnA knowledge base in an app or bot Use the Bot Framework SDK to create a bot Use the Bot Framework Composer to create a bot Use the Computer Vision service to analyze images Use Video Indexer to analyze videos Use the Custom Vision service to implement image classification Use the Custom Vision service to implement object detection Detect faces with the Computer Vision service Detect, analyze, and recognize faces with the Face service Use the Computer Vision service to read text in images and documents Use the Form Recognizer service to extract data from digital forms Create an intelligent search solution with Azure Cognitive Search Implement a custom skill in an Azure Cognitive Search enrichment pipeline Use Azure Cognitive Search to create a knowledge store   COURSE CONTENT Module 1: Introduction to AI on Azure Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly. Introduction to Artificial Intelligence Artificial Intelligence in Azure Module 2: Developing AI Apps with Cognitive Services Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services. Getting Started with Cognitive Services Using Cognitive Services for Enterprise Applications Lab: Get Started with Cognitive Services Lab: Get Started with Cognitive Services Lab: Monitor Cognitive Services Lab: Use a Cognitive Services Container Module 3: Getting Started with Natural Language Processing  Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text. Analyzing Text Translating Text Lab: Analyze Text Lab: Translate Text Module 4: Building Speech-Enabled Applications Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications. Speech Recognition and Synthesis Speech Translation Lab: Recognize and Synthesize Speech Lab: Translate Speech Module 5: Creating Language Understanding Solutions To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input. Creating a Language Understanding App Publishing and Using a Language Understanding App Using Language Understanding with Speech Lab: Create a Language Understanding App Lab: Create a Language Understanding Client Application Use the Speech and Language Understanding Services Module 6: Building a QnA Solution One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution. Creating a QnA Knowledge Base Publishing and Using a QnA Knowledge Base Lab: Create a QnA Solution Module 7: Conversational AI and the Azure Bot Service Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences. Bot Basics Implementing a Conversational Bot Lab: Create a Bot with the Bot Framework SDK Lab: Create a Bot with a Bot Freamwork Composer Module 8: Getting Started with Computer Vision Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video. Analyzing Images Analyzing Videos Lab: Analyse Images with Computer Vision Lab: Analyze Images with Video Indexer Module 9: Developing Custom Vision Solutions While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models. Image Classification Object Detection Lab: Classify Images with Custom Vision Lab: Detect Objects in Images with Custom Vision Module 10: Detecting, Analyzing, and Recognizing Faces Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces. Detecting Faces with the Computer Vision Service Using the Face Service Lab:Destect, Analyze and Recognize Faces Module 11: Reading Text in Images and Documents Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms. Reading text with the Computer Vision Service Extracting Information from Forms with the Form Recognizer service Lab: Read Text in IMages Lab: Extract Data from Forms Module 12: Creating a Knowledge Mining Solution Ultimately, many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights. Implementing an Intelligent Search Solution Developing Custom Skills for an Enrichment Pipeline Creating a Knowledge Store Lab: Create and Azure Cognitive Search Solution Create a Custom Skill for Azure Cognitive Search Create a Knowledge Store with Azure Cognitive Search   TEST CERTIFICATION Recommended as preparation for the following exams: AI-102 - Designing and Implementing a Microsoft Azure AI Solution - Part of the requirements for the Microsoft Certified Azure AI Engineer Associate Certification.   HVORFOR VELGE SG PARTNER AS:  Flest kurs med Startgaranti Rimeligste kurs Beste service og personlig oppfølgning Tilgang til opptak etter endt kurs Partner med flere av verdens beste kursleverandører [-]

Cloud Operations on AWS [-]

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) [-]

ITIL® Specialist - High Velocity IT [-]

MD-102 : Microsoft 365 Endpoint Administrator [-]

Python Data Science [-]

Etter kurset Digital markedsføring, skal du ha grunnleggende kunnskaper innen dataanalyse og kjenne til digitale mediers rolle innen markedsføring. Du skal beherske digital markedsføring, strategi og planlegging, samt jus og etikk innenfor samme tema. Du skal bli i stand til å analysere effekten av strategi og kampanjer. Du skal vite hvordan nettsidene optimaliseres, samt hvordan man etablerer og drifter digitale annonser. Du skal kunne lede digitale kampanjer og ha kunnskap om hvilken betydning en god digital strategi har innen digital markedsføring. Studiet er både praktisk og teoretisk rettet – med hovedvekt på å løse praktiske obligatoriske oppgaveløsning basert på teoretisk kunnskap. Studentene vil gjennom studieåret gjennomføre en rekke individuelle og gruppebaserte praktiske og teoretiske oppgaver knyttet til de forskjellige undertema. [-]

AI-3004: Build an Azure AI Vision solution with Azure AI services [-]

Power Pivot - Microsoft Excel [-]

  Studieår: 2013-2014   Gjennomføring: Høst og vår Antall studiepoeng: 5.0 Forutsetninger: Erfaring med programmering i et objektorientert språk. Innleveringer: Det blir gitt 10 øvinger. 8 må være godkjente for å gå opp til eksamen. Personlig veileder: ja Vurderingsform: individuell skriftlig eksamen, 3 timer. Ansvarlig: Tore Berg Hansen Eksamensdato: 17.12.13 / 20.05.14         Læremål: Etter å ha gjennomført emnet skal kandidaten ha følgende samlete læringsutbytte: KUNNSKAPER:Kandidaten kan forklare:- hva .NET-rammeverket er, dets hensikt og hva det inneholder- begrepene Common Language Runtime, Common Type System og managed code- begrepene Solution, Project og Assembly- hva en webtjeneste er- hvordan datakilder kan aksesseres ved hjelp av ADO.NET- hvordan webapplikasjoner kan lages ved hjelp av ASP.NET FERDIGHETER:Kandidaten:- kan skrive korte programmer i C#, Visual Basic .NET og C++/managed C++ som viser bruk av de sentrale konsepter som klassebiblioteket, ADO.NET og ASP.NET GENERELL KOMPETANSE:Kandidaten:- er klar over at .NET rammeverket har styrker og svakheter og at det finnes alternative teknologier Innhold:.NET-rammeverket og arkitekturen. Common Language Runtime (CLR). Common Type System (CTS). Klassebiblioteket. Common Language Specification (CLS). Assemblies. Programmeringsspråkene C#, C++, Visual Basic.NET. Managed code. Web services. ADO.NET. ASP.NET.Les mer om faget her Påmeldingsfrist: 25.08.13 / 25.01.14         Velg semester:  Høst 2013    Vår 2014     Fag Applikasjonsutvikling på .NET-plattformen 4980,-         Semesteravgift og eksamenskostnader kommer i tillegg.    [-]

Advanced Python Development [-]

AutoCAD 3D introduksjonskurs: Deltagerne skal kunne skille mellom ulike modelltyper, og kjenne til grunnprinsipper for 3D-modellering og bruk av koordinatsystem, samt beherske bruk av betraktningsvinkler og skjermnavigering. Koordinatsystemer Angivelse av punkter i rommet Solid modellering Surface modellering Mesh modellering Sette opp Layout i paperspace, projeksjoner og snitt Lagstruktur og lagdefinisjon, farger, linjetyper, målsetting Lyssetting, naturlig sollys og lokale lyskilder Knytte materialer til objekt eller til lag Renderfunksjoner Animasjon og video [-]