IT-kurs

AI-102: Designing and Implementing a Microsoft Azure AI Solution [-]

Modern Application Architecture [-]

COURSE OVERVIEW TOGAF® V9.2  is the foremost generic framework in the field of Enterprise Architecture (EA). This course provides guidance on what to do to establish an architecture practice and how to use it in connection with planning the longer-term transformation of the enterprise (strategic architecture), and designing capabilities to support and sustain the transformation. This course will benefit: Practicing architects from complex organizations looking for a set of defined processes to help in the organization, governance and management of architecture teams and multiple architecture projects. Experienced architects looking for details on the elements of sound architectural process and practice. Senior managers, such as Project Managers and Service Managers, who wish to gain a full appreciation of architecture practice. Aspiring architects commencing their career wishing to obtain recognized EA certification. This TOGAF® accredited course examines how practitioners can base their activities on a set of well-defined processes. It examines the framework as a whole, including the numerous techniques to assist in organizing, governing and now in this version, describing, architecture. It incorporates recommendations on how to adapt the framework to deal with issues such as Security and Service-oriented Architecture. The course prepares participants to take the combined TOGAF® 9.2 Foundation and Certified exams (Level 1 & 2). During the course, delegates will be helped to prepare for this combined exam. This TOGAF® for Practitioners Level 1&2 course is being run by Global Knowledge and is accredited by The Open Group. For full details of the TOGAF® certification scheme, visit the following link: www.opengroup.org COURSE OBJECTIVES This workshop has been designed to enable participants to: Understand the basic concepts of enterprise architecture and TOGAF® Explain the features of TOGAF® and its methodology Implement TOGAF® in their work to maximum effect Develop an understanding of the necessary body of knowledge to achieve certification by examination for TOGAF® COURSE CONTENT Day 1 Introduction TOGAF® Basic / Core Concepts Introduction to the ADM Enterprise Continuum ADM Phases ADM Guidelines Architecture Governance Daily Wrap up / Q&A Day Two Architecture Views, Viewpoints, and Stakeholders Building Blocks ADM Deliverables TOGAF® Reference Models Preliminary Phase The Architecture Governance Framework Architecture Content Framework TOGAF® Content Metamodel Stakeholder Management Architecture Implementation Techniques Daily Wrap up / Q&A Day Three Phase A: Architecture Business Scenarios Technique Phase B: Business Architecture Phase C: Information Systems Architectures – Data Architecture Phase C: Information Systems Architectures – Application Architecture TOGAF®Foundation Architecture: Technical Reference Model Integrated Information Infrastructure Reference Model Phase D: Technology Architecture Daily Wrap up / Q&A Day Four Phase E: Opportunities and Solutions Migration Planning Techniques Phase F: Migration Planning Phase G: Implementation Governance Phase H: Architecture Change Management ADM Requirements Management Architecture Partitioning Guidelines for Adapting the ADM: Iteration and Levels Guidelines for Adapting the ADM: Security Guidelines for Adapting the ADM: SOA Architecture Maturity Models Architecture Skills Framework Daily Wrap up / Q&A TEST CERTIFICATION Once you have completed the course and are ready to book your exam at a Test Centre, please contact Global Knowledge and we will email your exam voucher code so that you can redeem it.  Exams can also be sat online https://www.opengroup.org/certifications/online-proctored-exams Achieving this level of Certification also qualifies delegates to take the BCS Practitioner Certificate in Enterprise and Solution Architecture without the need for the BCS Intermediate Certificate. [-]

Microsoft Teams er et sted for samarbeid med dine kollegaer der alle samtaler, møter, filer og notater er tilgjengelig for alle i ditt team, alt på ett sted.  Mål for kursetEtter endt kurs skal du kunne bruke Microsoft Teams på en smart og effektiv måte. ForkunnskaperTeams forutsetter at du har et Microsoft 365 (Office 365) abonnement, og at du har gjort deg kjent med grunnleggende bruk av dette.  MålgruppeDette kurset er for deg som har et Microsoft 365 (Office 365) abonnement, og som ønsker å benytte Teams for å samarbeide med kollegaer på en effektiv måte.  UndervisningsformKlasseromsundervisning med maks 12 deltakere. Deltakere må ha med egen datamaskin med relevant programvare.   Pris3200 kroner Ansatte ved UiS har egne prisbetingelser. Varighet1/2 dag fra 09:00 til 12:00 Emner Med Teams blir det mye enklere å samarbeide med dine kollegaer. På kurset vil vi forklare hvordan Teams fungerer, og vi vil med praktiske øvelser vise hvordan man kan bruke dette verktøyet på en effektiv måte. Opprettelse av Teams Medlemmer i Teams Chatte og videokonferanse med dine kollegaer Oversikt over kalender og innkalling av teammøter Opprette og dele dokumenter Bruk av Teams på en mengde enheter (PC, Mac, mobil og nettbrett) Notatblokk og møteagendaer for Teamet [-]

COURSE OVERVIEW The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth. TARGET AUDIENCE The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. COURSE OBJECTIVES  After completing this course, you will be able to: Describe Artificial Intelligence workloads and considerations Describe fundamental principles of machine learning on Azure Describe features of computer vision workloads on Azure Describe features of Natural Language Processing (NLP) workloads on Azure Describe features of conversational AI workloads on Azure   COURSE CONTENT Module 1: Introduction to AI In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development. Artificial Intelligence in Azure Responsible AI After completing this module you will be able to Describe Artificial Intelligence workloads and considerations Module 2: Machine Learning Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models. Introduction to Machine Learning Azure Machine Learning After completing this module you will be able to Describe fundamental principles of machine learning on Azure Module 3: Computer Vision Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services. Computer Vision Concepts Computer Vision in Azure After completing this module you will be able to Describe features of computer vision workloads on Azure Module 4: Natural Language Processing This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands. After completing this module you will be able to Describe features of Natural Language Processing (NLP) workloads on Azure Module 5: Conversational AI Conversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions. Conversational AI Concepts Conversational AI in Azure After completing this module you will be able to Describe features of conversational AI workloads on Azure   TEST CERTIFICATION Recommended as preparation for the following exams: Exam AI-900: Microsoft Azure AI Fundamentals. 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 [-]

COURSE OVERVIEW   This Python Programming 1 course is designed to give delegates the knowledge to develop and maintain Python scripts using the current version (V3) of Python. There are many similarities between Python V2 and Python V3. The skills gained on this course will allow the delegate to develop their own skills further using Python V2 or V3 to support the development and maintenance of scripts. The Python Programming 1 course comprises sessions dealing with syntax,variables and data types,operators and expressions,conditions and loops,functions,objects,collections,modules and packages,strings,pattern matching,exception handling,binary and text files,and databases. Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered. TARGET AUDIENCE The Python Programming 1 course course is aimed at those who want to improve their Python programming skills,and for developers/engineers who want to migrate to Python from another language,particularly those with little or no object-oriented knowledge. For those wishing to learn Python and have no previous knowledge of programming,they should look to attend our foundation course Introduction to Programming - Python. COURSE OBJECTIVES This course aims to provide the delegate with the knowledge to be able to produce Python scripts and applications that exploit all core elements of the language including variables,expressions,selection and iteration,functions,objects,collections,strings,modules,pattern matching,exception handling,I/O,and classes. COURSE CONTENT DAY 1 COURSE INTRODUCTION Administration and Course Materials Course Structure and Agenda Delegate and Trainer Introductions SESSION 1: GETTING STARTED About Python Python versions Python documentation Python runtimes Installing Python The REPL shell Python editors SESSION 2: PYTHON SCRIPTS & SYNTAX Script naming Comments Docstring Statements The backslash Code blocks Whitespace Console IO (to enable the writing of simple programs) A first Python program Script execution SESSION 3: VARIABLES & DATA TYPES Literals Identifiers Assignment Numbers (bool,int,float,complex) Binary,octal,and hexadecimal numbers Floating point accuracy Collections (str,list,tuple,set,dict) None Implicit and explicit type conversion (casting) The type function SESSION 4: OPERATORS & EXPRESSIONS Arithmetic Operators Assignment Operators Comparison Operators Logical Operators Membership Operators Bitwise Operators Identity Operators SESSION 5: CONDITIONS & LOOPS Conditional statements (if,elif,else) Nested conditional statements Short hand if/if else Python's alternative to the ternary operator Iterative statements (while,for,else) The range function Iterating over a list Break Continue Nested conditional/iterative statements COURSE CONTENTS - DAY 2 SESSION 6: FUNCTIONS Declaration Invocation Default values for parameters Named arguments args and kwargs Returning multiple values None returned Variable scope Masking and shadowing The pass keyword Recursive functions SESSION 7: OBJECTS AND CLASSES About objects Attributes and the dot notation The dir function Dunder attributes Mutability The id function Pass by reference Introduction to Classes Class Declaration and Instantiation Data attributes Methods Composition SESSION 8: LISTS About lists List syntax including slicing Getting and setting list elements Iterating over a list Checking for the presence of a value The len function List methods incl. append,insert,remove,pop,clear,copy,sort,reverse etc. The del keyword Appending to and combining lists List comprehension SESSION 9: TUPLES About tuples Tuple syntax Getting tuple elements including unpacking Iterating over a tuple Checking for the presence of a value The len function Appending to and combining tuples SESSION 10: SETS About Sets Dictionary syntax Creating,adding and removing set elements Iterating over a set Membership Testing Sorting Copying Set methods incl. union,intersection,difference,symmetric_difference etc. COURSE CONTENTS - DAY 3 SESSION 11: DICTIONARIES About dictionaries Dictionary syntax Getting and setting dictionary elements Iterating over a dictionary (keys,values,and items) Checking for the presence of a key The len function Dictionary methods incl. keys,values,items,get,pop,popitem,clear etc. The del keyword Dictionary comprehension SESSION 12: STRINGS About strings String syntax including slicing Escape characters Triple-quoted strings Concatenation Placeholders The format method Other methods e.g. endswith,find,join,lower,replace,split,startswith,strip,upper etc. A string as a list of bytes SESSION 13: MODULES & PACKAGES About modules Inbuilt modules math,random and platform the dir() and help() functions Creating and using modules the __pycache__ and the .pyc files The module search path Importing modules Namespaces Importing module objects The import wildcard Aliases Importing within a function Executable modules Reloading a module About packages Importing packaged modules Importing packaged module objects Package initialisation Subpackages Referencing objects in sibling packages The Standard Library Installing modules and packages using pip SESSION 14: PATTERN MATCHING About regular expressions Regular expression special characters Raw strings About the re module re module functions incl. match,search,findall,full match,split,sub   COURSE CONTENTS - DAY 4 SESSION 15: EXCEPTION HANDLING About exceptions and exception handling Handling exceptions (try,except,else,finally) Exception types The exception object Raising exceptions Custom exception types Built-in exceptions hierarchy SESSION 16: FILES & THE FILESYSTEM The open function Methods for seeking (seekable,seek) Methods for reading from a file (readable,read,readline,readlines) Iterating over a file Methods for writing to a file (writable,write,writelines) Introduction to context managers Text encoding schemes,codepoints,codespace ASCII and UNICODE (UTF schemes) UTF-8,binary and hexadecimal representations The ord() and chr() functions Binary files,bytes and bytearray I/O layered abstraction. About the os module os module functions incl. getcwd,listdir,mkdir,chdir,remove,rmdir etc. OSError numbers and the errno module SESSION 17: DATABASES The DB-API DP-API implementations Establishing a connection Creating a cursor Executing a query Fetching results Transactions Inserting,updating,and deleting records FOLLOW ON COURSES Python Programming 2  Data Analysis Python  Apache Web Server PHP Programming  PHP & MySQL for Web Development  PHP & MariaDB for Web Development  Perl Programming  Ruby Programming  Introduction to MySQL  Introduction to MariaDB [-]

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JavaScript Web Development [-]

Kubernetes [-]

Excel videregående, passer for deg som har brukt Excel mye, og er vant med å lære nye ting raskt. Vi går fortløpende gjennom avanserte formler, funksjoner, pivot, makroer m.m. Deltakerne kan komme med ønske om innhold. Instruktør Marianne Nylunder utdannet systemasvarlig/IKT-rådgiver fra forsvaret, Hun er sertifisert Microsoft-instruktør og har holdt Microsoft Office-kurs siden 1998. Kursleder er tydelig, pedagogisk og flink til å forklare. Hun engasjerer sine kursdeltakere og gjør det underholdende å delta på våre kurs.Hun er meget tålmodig og tilpasser undervisningen etter hver enkelt deltagers behov, slik at alle skal få et stort utbytte av kursene. [-]

Kursinnhold• Hardwarekomponenter og arkitektur• Operativsystemer  • Kommunikasjon og nettverk• Nettverkstjenester• Trådløs og mobil databehandling• Nettverksadministrasjon• Service og support   UndervisningsformKlasseromsundervisning med prosjektor hvor deltakerne får tildelt PC med nødvendig programvare installert. Praktisk trening med øvingsoppgaver for å aktivisere kunnskapen.   InstruktørerVi har erfarne instruktørene med høy kompetanse, lang erfaring og dyktige pedagogiske evner.   MålsetningModul Operate omhandler nettverk og relaterte kommunikasjonstjenester innen en IT- infrastruktur, samt vedlikehold og brukerproblemstillinger i forhold til tjenestetilbudet. Modulen krever at kandidaten skal kjenne til hardware komponenter, dataarkitekturer og forskjellige operativsystemer. Kandidaten skal også skille mellom ulike nivåer av kommunikasjonsprotokoller, og deres bruk i både kablede og trådløse nettverksteknologier. Dessuten skal kandidaten forstå Simple Network Management Protocol (SNMP), e-post og webtjenester, og de tilhørende sikkerhetstrusler og mottiltak. Kandidaten skal forstå betydningen av en klient-orientert tilnærming til IT-støtte, og kunne benytte noen av de grunnleggende prinsipper for IT-support.. [-]

DP-300: Administering Microsoft Azure SQL Solutions [-]

Klasseromskurs små klasser maks 5 personer. Kurset kan også holdes bedriftsinternt, eller som Zoom kurs. Excel nybegynner, passer for deg som ikke har brukt Excel tidligere, og som ønsker å lære alt helt fra grunnen. Innhold: Lage gode regnearkoppsett med enkle formler og riktige formater. Enkle diagrammer, tabeller og sorteringer. Gjenbruk av regneark. Kursleder Marianne Nylunder utdannet systemasvarlig/IKT-rådgiver fra forsvaret,Hun er sertifisert Microsoft-instruktør og har holdt Microsoft Office-kurs siden 1998. Kursleder er tydelig, pedagogisk og flink til å forklare. Hun engasjerer sine kursdeltakere og gjør det underholdende å delta på våre kurs.Hun er meget tålmodig og tilpasser undervisningen etter hver enkelt deltagers behov, slik at alle skal få et stort utbytte av kursene. [-]

COURSE OVERVIEW The Developing on Amazon Web Services AWS course is designed to help individuals design and build secure, reliable and scalable AWS-based applications. In this course, we cover fundamental concepts and baseline programming for developing applications on AWS. We also show you how to work with AWS code libraries, SDKs, and IDE toolkits so that you can effectively develop and deploy code on the AWS platform.   TARGET AUDIENCE This course is intended for Developers COURSE CONTENT Note: course outline may vary slightly based on the regional location and/or language in which the class is delivered. Day 1: Getting Started Working with the AWS code library, SDKs, and IDE toolkits Introduction to AWS security features Service object models and baseline concepts for working with Amazon Simple Storage Service (S3) and Amazon DynamoDB Day 2: Working with AWS Services Service object models and baseline concepts for working with the Amazon Simple Queue Service (SQS) and the Amazon Simple Notification Service (SNS) Applying AWS security features Day 3: Application Development and Deployment Best Practices Application deployment using AWS Elastic Beanstalk Best practices for working with AWS services   [-]

Java SE Advanced Techniques (Course II for exam 1Z0-819) [-]