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3 dager 1 500 kr
PowerPoint 2010 er et presentasjonsprogram som brukes når vi skal vise fram data – enten det er tekst, bilder, tall eller tegninger. [+]
PowerPoint 2010 er et presentasjonsprogram som brukes når vi skal vise fram data – enten det er tekst, bilder, tall eller tegninger. Programmet kan brukes til å lage lysark som skrives ut, eller vi kan vise presentasjonen ved hjelp av PC + videokanon. På kurset vil grunnleggende funksjoner vektlegges, men vi vil og se på hvordan en bygger opp og setter sammen en presentasjon. Forkunnskaper: Du må ha kunnskaper tilsvarende PC-begynnerkurs. Brukere av Powerpoint 2007 kan og følge dette kurset. [-]
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Oslo United Kingdom 5 dager 32 000 kr
27 Nov
27 Nov
29 Jan
Designed for students with previous experience of XenApp and XenDesktop who are looking to further their expertise. [+]
Get more value out of your XenApp and XenDesktop investment through the use of Workspace Environment Management, Provisioning Services, and advanced troubleshooting tools. You will leave this course with a good understanding of how to manage more complex solutions such as multi-zone environments spanning multiple locations with configurations around StoreFront, the Delivery Controllers, and HDX. You’ll gain the skills to improve logon times, user personalization, and resource performance through Workspace Environment Management. Optimize management of your app and desktop images by building and combining App Layers. By the end of the course you will be able to install, configure, and manage Provisioning Services in accordance with leading practices. Note: This course is based on XenApp and XenDesktop 7.x CR (Current Release) including the hands-on labs. The current release of XenApp and XenDesktop is updated frequently with new features and improvements and as such, course content may not always reflect the latest features. This course is currently on XenApp, XenDesktop, and Provisioning Services 7.13. [-]
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3 år
Er du opptatt av din og andres helse og ønsker å gi folk en sunnere livsstil og bedre form? [+]
Dårlig fysisk form og usunt kosthold er noen av de viktigste årsakene til livsstilssykdommer. Samtidig er mange allerede fysisk aktive, men trenger veiledning og motivasjon for å opprettholde eller forbedre helsen sin og prestasjonene sine. Bachelor i Fysisk aktivitet og ernæring er utdanningen for deg som har lyst til å jobbe med mennesker. Utdanningen gir deg både et biologisk og et samfunnsrettet perspektiv på forebyggende og rehabiliterende helsetiltak. Gjennom målrettet og systematisk arbeid med fysisk aktivitet og kosthold vil du kunne bidra til å bedre menneskers helse, fysiske form og prestasjonsevne.   Hva lærer du? På Bachelor i Fysisk aktivitet og ernæring lærer du om den friske menneskekroppens struktur og funksjon. Du lærer om ulike fysiologiske tilpasninger som skjer under utvikling, aldring og trening, for deretter å kunne planlegge og lede arbeid med fysisk aktivitet tilpasset mennesker på ulike nivåer og stadier i livet. Du vil også lære om livsstilsrelaterte sykdommer og lidelser samt deres årsaksforhold, og du vil kunne forklare sammenhengen mellom fysisk aktivitet og kostholdets betydning for helse ved å kjenne til sentrale vitenskapelige artikler på fagfeltet.   Undervisningsopplegg Du vil møte studentaktiviserende læringsformer, så som problembasert gruppearbeid, ferdighetstrening, medstudentrespons, studentpresentasjoner samt mye praksisarbeid underveis i studiet. Den praktiske treningen gjennomføres i våre egne treningslokaler og utendørs. Du vil lære om helseprofiltesting som setter deg i stand til å gjennomføre kartlegging av nåtilstanden til noen av de viktigste helseparameterne. Vi vektlegger hvordan du kan jobbe med motiverende kommunikasjon for å skape varig endring av livsstil, som resulterer i bedre helse og prestasjoner. Intern praksis gjennomføres på Høyskolen Kristianias egen testlab og studentklinikk, hvor du vil øve deg på å veilede og teste pasienter under kyndig veiledning av vår fagstab. Den eksterne praksisen gjennomføres på en bedrift eller frisklivssentral, slik at du blir eksponert for situasjoner med stor overføringsverdi til yrkeslivet.   Innpass Dersom du har studert helsefag tidligere og ønsker opptak til andre året på Bachelor i Livsstilsendring og folkehelse, må du ta forkurs som følger studiene. Opptak forutsetter at vi har ledige studieplasser. Fysisk aktivitet og ernæring innpass   Utveksling I løpet av bachelorløpet ditt har du muligheten til å søke om utveksling på University of Queensland, Brisbane, Australia.   Videre studier Bachelor i Fysisk aktivitet og ernæring er en praktisk rettet utdanning, slik at du enten kan gå rett ut i jobb etter endt studium, eller velge blant en rekke mastermuligheter, både i inn- og utland.   Karrieremuligheter Utdanningen gir varierte jobbmuligheter og er også et godt utgangspunkt for videre studier. Det er et stort behov for denne kompetansen i Norge. Eksempler på hvor slik kompetanse kreves, er i treningsbransjen, bedriftshelsetjenesten, idrettsklubber, skolehelsetjenesten, skolefritidsordningen, eldreomsorgen samt i frivillige organisasjoner. [-]
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Kongsberg 2 dager 14 000 kr
23 Nov
The TOGAF 9 Level 1 Foundation course is a 2-day, interactive, classroom-based learning experience. [+]
K-tech er et kompetansesenter på Kongsberg som startet opp i 2008 med Kongsberg Defence & Aerospace, Technip FMC og GKN Aerospace som våre eiere. Vi er en kursleverandør som tilbyr kvalitetssikrede kurs innenfor en rekke sentrale områder som er etterspurt av industrien i Norge. Beskrivelse: The TOGAF 9 Level 1 Foundation course is a 2-day, interactive, classroom-based learning experience. The course covers the Foundation Level 1 curriculum. Examples of architecture deliverable and artifacts are provided throughout the course. The course enables participants to successfully complete the associated TOGAF Level 1 exam, known as TOGAF 9 Foundation. The certification provides validation that the candidate has gained knowledge of the terminology, structure, and basic concepts of TOGAF 9, and understands the core principles of Enterprise Architecture and TOGAF.  Innhold: Individuals certified at this level will have demonstrated their understanding of: The basic concepts of Enterprise Architecture and TOGAF The core concepts of TOGAF 9 The key terminology of TOGAF 9 The ADM cycle and the objectives of each phase, and how to adapt and scope the ADM The concept of the Enterprise Continuum; its purpose and constituent parts How each of the ADM phases contributes to the success of enterprise architecture The ADM guidelines and techniques How Architecture Governance contributes to the Architecture Development Cycle The concepts of views and viewpoints and their role in communicating with stakeholders The concept of building blocks The key deliverables of the ADM cycle The TOGAF reference models The TOGAF certification program For mere informasjon: http://www.glasspaper.no/kurs/1947.TOGAF-9-Level-1-Foundation-Course-(including-certification-voucher)/ [-]
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Kongsberg 2 dager 12 000 kr
04 Dec
This Masterclass not only prepares you to meet the challenges of this new far reaching regulation. But will provide you with the knowledge in order to prepare for complia... [+]
K-tech er et kompetansesenter på Kongsberg som startet opp i 2008 med Kongsberg Defence & Aerospace, Technip FMC og GKN Aerospace som våre eiere. Vi er en kursleverandør som tilbyr kvalitetssikrede kurs innenfor en rekke sentrale områder som er etterspurt av industrien i Norge. Beskrivelse: Are you ready? The General Data Protection Regulation (GDPR) is the European Union’s new legislation to protect the personal data of EU citizens. The GDPR has been born of a need to regulate data protection, amongst other data concerns, throughout the European member states by updating the now archaic 1995 Data Protection Directive (DPD); a set of laws created at the onset of the internet era and long before the digital age. Organizations have been given a two-year lead in period to become compliant, ending 25th May 2018. This Masterclass not only prepares you to meet the challenges of this new far reaching regulation. But will provide you with the knowledge in order to prepare for compliance testing in 2018. This intense 2 day workshop will provide you with real world tangible skills that you will be able to use today. Organisational Benefits: Non-compliance of the GDPR can result in fines of up to 4% of global turnover or €20m, as well as significant reputational damage and a loss of market and customer confidence that can negatively impact sales. Your organisation will benefit from a senior manager who is well-placed to implement technical and organisational measures required under the GDPR as well as comply with other legal requirements ahead of 2018. In many cases there will also be a requirement to appoint a suitably qualified and trained data protection officer (DPO) that will report to the board.  Innhold: Masterclass Objectives: Informing and advising the controller and staff about who is processing personal data and their obligations which are pursuant to this Regulation; Monitoring and complying with this Regulation which includes the assignment of responsibilities and awareness Providing advice to staff when requested, regarding the data protection impact assessment and how to monitor its performance pursuant to Article 35 of the GDPR. Cooperating with the ICO Taking responsibility as the main point of contact on issues related to the processing of personal data Masterclass Day 1 Outline: Introductions & Welcome Essential GDPR Background and Terminology Structure of the regulations Principles of GDPR Key differences between The EU Data Protection Act and The EU GDPR GDPR Privacy Principles Preparing for Compliance Data Subjects and Their Rights Day 1 Review Masterclass Day 2 Outline: Developing a Risk Management Framework Demonstrating Compliance GDPR Privacy Principles Key Roles of a DPO (Data Protection Officer) Subject Access Requests Dealing with third parties and data in the Cloud International Data Transfers & Safe Harbour regulatory, and compensatory aspects of the GDPR Practical Implications of GDPR Demonstrating compliance with GDPR Data breach reporting requirements Course Review & Next Steps QandA For mere informasjon: http://www.glasspaper.no/kurs/3260.GDPR-The-Preparation-Masterclass---with-Andy-Malone/ [-]
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Oslo 3 timer 3 900 kr
07 Mar
Visualization Best Practice and Design Standards: Creating a Common Visual Vocabulary "Wayne Eckerson" [+]
The purpose of data visualization is not to hide the truth, but expose it, so business users quickly see what’s important and take action. Visual design standards create a common visual vocabulary throughout an organization, speeding business cognition and accelerating application development. The best visual standards embrace visualization best practices and ensure all applications conform to the same look, feel, and functional expressiveness. You will learn how to: Apply best practices in visual display of quantitative information. Create visual design standards that accelerate development and maximize user adoption. Create a visual vocabulary for your organization. Develop visual standards that enable deeper, more rapid analytical insight and decisions. Leverage industry standards for visual design. Overcome limitations of your analytical tools in supporting a visual standard. Geared to: Business and technical managers who want to standardize the delivery and display of dashboards and visualizations throughout their department or organization, ensuring higher levels of uptake, adoption, and impact, as well as BI developers and business analysts who create dashboards and want to know best practices in the visual design of quantitative information.   About Wayne Eckerson Wayne Eckerson is an internationally recognized thought leader in the business intelligence and analytics field. He is a sought-after consultant and noted speaker who thinks critically, writes clearly and presents persuasively about complex topics. Eckerson has shared his insights and advice with a wide range of companies. Recent clients include Avalon Bay Communities, TE Connectivity, MetLife, Zipcar, Guardian Insurance, Nordeus, Grange Insurance, and KARL STORZ. He has also conducted many groundbreaking research studies, chaired numerous conferences, and written two widely read books: “The Secrets of Analytical Leaders: Insights from Information Insiders.”(2012) and “Performance Dashboards: Measuring, Monitoring, and Managing Your Business” (2005/2010). Eckerson is principal consultant of Eckerson Group, LLC, a business-technology consulting firm that helps business leaders use data and technology to drive better insights and actions.  His team of researchers and experienced consultants provide cutting-edge information and advice on business intelligence, analytics, performance management, data governance, data warehousing, and big data. They work closely with organizations that want to assess their current capabilities and develop a strategy for turning data into insights and action. For many years, Wayne served as director of education and research at The Data Warehousing Institute (TDWI) where he oversaw the company’s research and training programs and chaired its BI Executive Summit. He has also served as an industry analyst at the Patricia Seybold Group and TechTarget. He has a bachelor’s degree from Williams College and a master’s degree from Wesleyan University.     Cancellation Policy Cancellations must be received in writing at least two weeks before the commencement of the seminar and will be subject to a 15 % administration fee. Unfortunately, cancellations received within two weeks of the seminar date will be liable for the full seminar fee. Substitutions can be made at any time. [-]
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Bærum 4 dager 16 000 kr
18 Jun
This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data War... [+]
About this course This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.     Audience profile The primary audience for this course is data engineers (IT professionals, developers, and information workers) who plan to implement big data engineering workflows on Azure.     At course completion After completing this course, students will be able to: Describe common architectures for processing big data using Azure tools and services. Describe how to use Azure Stream Analytics to design and implement stream processing over large-scale data. Describe how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job. Describe how to use Azure Data Lake Store as a large-scale repository of data files. Describe how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store. Describe how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs. Describe how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest. Describe how to use Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data. Describe how to use Azure Data Factory to import, transform, and transfer data between repositories and services. [-]
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Oslo 2 dager 17 450 kr
13 Dec
Kurset fokuserer på å lære deltakerne å benytte seg av sine kunnskaper innen EA og TOGAF 9. Dette er en fordypning i TOGAF 9 forenlig med The Open Group's krav for se... [+]
TOGAFs Architecture Development Method (ADM) brukes for å produsere, benytte og forvalte arkitekturene og arkitekturleveransene. I tillegg gir rammeverket et sett med‚best praksis rundt forvaltningen av virksomhetsarkitekturen, typisk hvordan man organiserer en arkitekturvirksomhet, hvilke roller man ser for seg og hvilke ansvar som bør knyttes til disse rollene. Dette igjen ses da i relasjon til andre fora som styringsgrupper, ledelse og program/prosjektledelse. Kurset er delt i to, et grunnleggende (Foundation) og et påbyggingskurs (Certified). Hvorfor virksomhetsarkitektur? “This training course is delivered by Bouvet Norge AS., partner of BiZZdesign International BV. BiZZdesign Academy is the provider of this Accredited Training Course. Bouvet Norge AS delivers this training course on behalf of BiZZdesign International BV. Both organizations hold an ArchiMate® & TOGAF® Commercial License issued by The Open Group”. "TOGAF® is a registered trademark of The Open Group in the United States and other countries”. Kursbeskrivelse Kurset fokuserer på lære deltakerne å benytte seg av sine kunnskaper innen EA og TOGAF 9. Dette er en fordypning i TOGAF®9 forenlig med The Open Group's krav for sertifisering på TOGAF 9 Level 2. - ADM faser og trinn- Migrationsplanlegging og teknikker - Håndtering av interessenter og deres behov - Håndtering, forvaltning og gjenbruk av arkitektur - Retningslinjer for å tilpasse ADM - Architecture Content Framework - Implementasjonsstøtte og teknikker- TOGAF referansemodeller   Kursmateriell Deltakerne får tilsendt brukertilgang for nedlasting av kursmateriell før kursstart. Kursmateriellet distribueres kun elektronisk. Kursdeltakerne bes ta med egen PC til kurset. Kursmateriellet er på engelsk og kurset undervises på engelsk.   TOGAF Certified Study Guide Vi kan tilby en studyguide som hjelper deg med forberedelsene til kurset, boken anbefales til alle som har tenkt å ta sertifiseringseksamen. Boken koster kr. 500,- + mva og sendes til deg i forkant av kurset. Bestilles i påmeldingsskjemaet.   Eksamen Du vil få utdelt en eksamensvoucher du kan bruke i et Pearsonvue testsenter når det passer deg å ta eksamen. Du har krav på ekstra tid dersom du ikke har engelsk som morsmål. Husk å oppgi dette ved bestilling eksamen. Eksamen varer i 90 minutter for de som har engelsk som morsmål og 135 minutter for de som ikke har engelsk som morsmål. Certified krever godkjent resultat på Foundation testen. Eksamen er en "open book" test som betyr at du får ha tilgang til et gitt TOGAF-materiell under testen. Eksamen består av 8 scenariobaserte multiple-choice spørsmål og tester din evne til å analysere scenarier og benytte din kunnskap i TOGAF 9. Ved behov kan sertifiseringstesten tas på nytt etter 4 ukers karantenetid. [-]
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Oslo 2 dager 9 900 kr
11 Dec
Dec 11: Introduction to AI and Deep Learning Description: Deep learning and artificial intelligence ... [+]
Dec 11: Introduction to AI and Deep Learning Description: Deep learning and artificial intelligence (AI) is a capability organizations are striving to adopt for the competitive edge. Deep learning systems can be the differentiation factor between your organization and your competitor.  This course focuses on deep learning concepts and principles and ensuring that the “black box” of deep learning is explained. Additionally, understand how to assess and prepare your organization deep learning and AI readiness is explored Objectives Outline how deep learning works (explaining the black box) Understand the applications of deep learning Identify the readiness factors required to adopt deep learning Preparing for deep learning projects Assessing organizational readiness for deep learning Topics Deep learning concepts and principles Deep learning conceptual architecture Business applications of deep learning People, process, skills, and infrastructure for Deep Learning The Deep Learning Project Readiness Assessment for Deep Learning   Dec 14: Application of AI and Deep Learning in B2C Applications Description: AI and deep learning is the next “great capability” organizations need for a competitive edge.  All industries are looking at this “great capability”, but each industry has different uses for deep learning. This 1 day course will explore the use cases for deep learning in B2C. The session will propose a case study that address how to plan for a deep learning project in pertinent to B2C Applications Objectives Identify Deep Learning Strategies for B2C Applications Analyze B2C Application use cases Identify and prepare for a deep learning project Data preparation for deep learning Measuring Success for deep learning projects   About TDWI For more than 20 years, TDWI has been raising the intelligence of data leaders and their teams with in-depth, applicable education and research, and an engaged worldwide membership community. TDWI Onsite delivers the highest quality business intelligence (BI), analytics, and data warehousing (DW) education. TDWI instructors are carefully selected, rigorously qualified, and routinely measured and observed to ensure that they achieve and sustain the highest standards for professional education. We require that our instructors have extensive BI experience and demonstrated teaching skills. In addition, all instructors are current BI practitioners who bring their real-world experience to every class. About the Instructor Dianne Larson President Larson & Associates Stanford graduate with over 20 years of experience, Dr. Larson is an active practitioner and academic focusing on business intelligence and data warehousing. Dr. Larson completed her doctorate in management in information technology leadership. She holds project management professional (PMP) and certified business intelligence professional (CBIP) certifications. Dr. Larson attended AT&T Executive Training at Harvard Business School in 2001, focusing on IT leadership. She is a regular contributor to TDWI publications and presents several times a year at conferences. Dr. Larson is associate faculty at American Public University and University of Phoenix in the United States. [-]
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Kongsberg 12 500 kr
29 Nov
GDPR Foundation training enables you to learn the basic elements to implement, manage and align a privacy framework with and based on the General Data Protection Regulati... [+]
K-tech er et kompetansesenter på Kongsberg som startet opp i 2008 med Kongsberg Defence & Aerospace, Technip FMC og GKN Aerospace som våre eiere. Vi er en kursleverandør som tilbyr kvalitetssikrede kurs innenfor en rekke sentrale områder som er etterspurt av industrien i Norge. Beskrivelse: GDPR Foundation training enables you to learn the basic elements to implement, manage and align a privacy framework with and based on the General Data Protection Regulation. During this training course, you will be able to understand the fundamental privacy principles and become familiar with the role of the Data Protection Officer. After completing this course, you can sit for the exam and apply for a “PECB GDPR Foundation” credential. A PECB Foundation Certificate shows that you have understood the fundamental methodologies, requirements, framework and management approach. Learning objectives: Understand the General Data Protection Regulation requirements and the fundamental principles of privacy/li> Understand the obligations, roles and responsibilities of the Data Protection Officer Understand the concepts, approaches, methods and techniques to effectively align a privacy framework with the General Data Protection Regulation Innhold: Course Agenda Day 1: Introduction to the General Data Protection Regulation and its concepts Day 2: The General Data Protection Regulation requirements and Certification Exam Exam and all necessary course material are included in the course  Education approach Lecture sessions are illustrated with examples based on real case scenarios Practical exercises include real case scenarios, examples and discussions Practice tests are similar to the Certification Exam [-]
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Oslo 2 dager 9 900 kr
11 Dec
Dec 11: Introduction to AI and Deep Learning Description:  Deep learning and artificial intelli... [+]
Dec 11: Introduction to AI and Deep Learning Description:  Deep learning and artificial intelligence (AI) is a capability organizations are striving to adopt for the competitive edge. Deep learning systems can be the differentiation factor between your organization and your competitor.  This course focuses on deep learning concepts and principles and ensuring that the “black box” of deep learning is explained. Additionally, understand how to assess and prepare your organization deep learning and AI readiness is explored Objectives Outline how deep learning works (explaining the black box) Understand the applications of deep learning Identify the readiness factors required to adopt deep learning Preparing for deep learning projects Assessing organizational readiness for deep learning Topics Deep learning concepts and principles Deep learning conceptual architecture Business applications of deep learning People, process, skills, and infrastructure for Deep Learning The Deep Learning Project Readiness Assessment for Deep Learning   Dec 14: Application of AI and Deep Learning in the Financial Industry Description: AI and deep learning is the next “great capability” organizations need for a competitive edge.  All industries are looking at this “great capability”, but each industry has different uses for deep learning. This 1 day course will explore the use cases for deep learning in the financial industry. The session will propose a case study that address how to plan for a deep learning project in pertinent to the financial industry Objectives Identify Deep Learning Strategies for Financial Services Analyze financial services use cases Identify and prepare for a deep learning project Data preparation for deep learning Measuring Success for deep learning projects About TDWI For more than 20 years, TDWI has been raising the intelligence of data leaders and their teams with in-depth, applicable education and research, and an engaged worldwide membership community. TDWI Onsite delivers the highest quality business intelligence (BI), analytics, and data warehousing (DW) education. TDWI instructors are carefully selected, rigorously qualified, and routinely measured and observed to ensure that they achieve and sustain the highest standards for professional education. We require that our instructors have extensive BI experience and demonstrated teaching skills. In addition, all instructors are current BI practitioners who bring their real-world experience to every class. About the Instructor Dianne Larson President Larson & Associates Stanford graduate with over 20 years of experience, Dr. Larson is an active practitioner and academic focusing on business intelligence and data warehousing. Dr. Larson completed her doctorate in management in information technology leadership. She holds project management professional (PMP) and certified business intelligence professional (CBIP) certifications. Dr. Larson attended AT&T Executive Training at Harvard Business School in 2001, focusing on IT leadership. She is a regular contributor to TDWI publications and presents several times a year at conferences. Dr. Larson is associate faculty at American Public University and University of Phoenix in the United States. [-]
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København Oslo Og 1 annet sted 4 timer 600 EUR
01 Dec
08 Dec
12 Jan
Earn the Red Hat Certificate of Expertise in Deployment and Systems Management [+]
The Red Hat Certificate of Expertise in Deployment and Systems Management exam (EX403) tests candidates' knowledge, skills, and ability to use Red Hat products, including Red Hat® Enterprise Linux® and Red Hat Satellite Server, to deploy and manage systems in an efficient, scalable, replicable, and reliable manner. A Red Hat Certified Engineer (RHCE®) who passes this exam will earn a Red Hat Certificate of Expertise that also counts towards earning Red Hat Certified Architect (RHCA). This exam is based on Red Hat Satellite 6. Study points for the exam To help you prepare, the exam objectives highlight the task areas students can expect to see covered in the exam. Red Hat reserves the right to add, modify, and remove exam objectives. Such changes will be made public in advance. Install Red Hat Satellite Server from an ISO image Create and configure organizations and locations Create and configure Red Hat Satellite users and roles Create GNU Privacy Guard (GPG) keys to sign RPMs Create and configure development life cycles Create a Puppet product repository Configure Red Hat Satellite subscriptions, content, and content views Install a Red Hat Satellite capsule server using an ISO image Build a custom RPM from a source tarball Create a Red Hat Satellite activation key Create a Red Hat Satellite host group Define smart class parameters for a Puppet module Register an existing client to a Red Hat Satellite server Apply errata to client Configure bare-metal deployment on Red Hat Satellite Deploy clients using kick starts As with all Red Hat performance-based exams, configurations must persist after reboot without intervention. What you need to know Red Hat encourages all candidates for the Red Hat Certificate of Expertise in Deployment and Systems Management exam (EX403) to consider taking the Red Hat Satellite 6 Administration (RH403) course. Attendance in these classes is not required, and you can choose to take just an exam. While attending Red Hat's classes can be an important part of your preparation, attending class does not guarantee success on the exam. Previous experience, practice, and native aptitude are also important determinants of success. Many books and other resources on system administration for Red Hat's products are available. Red Hat does not endorse any as preparation guides for any exams. Nevertheless, you may find additional reading helpful to deepen your understanding. Exam format This exam is a performance-based evaluation of systems deployment and management skills and knowledge. Candidates perform a number of systems administration tasks focused on configuring Red Hat Satellite Server and then use that system to deploy client systems. Candidates are evaluated on whether they have met specific objective criteria. Performance-based testing means that candidates must perform tasks similar to what they perform on the job. Scores and reporting Official scores for exams come exclusively from Red Hat Certification Central. Red Hat does not authorize examiners or training partners to report results to candidates directly. Scores on the exam are usually reported within 3 U.S. business days. Exam results are reported as total scores. Red Hat does not report performance on individual items, nor will it provide additional information upon request. [-]
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Oslo 2 dager 9 900 kr
11 Dec
Dec 11: Introduction to AI and Deep Learning Description:  Deep learning and artificial intelli... [+]
Dec 11: Introduction to AI and Deep Learning Description:  Deep learning and artificial intelligence (AI) is a capability organizations are striving to adopt for the competitive edge. Deep learning systems can be the differentiation factor between your organization and your competitor.  This course focuses on deep learning concepts and principles and ensuring that the “black box” of deep learning is explained. Additionally, understand how to assess and prepare your organization deep learning and AI readiness is explored Objectives Outline how deep learning works (explaining the black box) Understand the applications of deep learning Identify the readiness factors required to adopt deep learning Preparing for deep learning projects Assessing organizational readiness for deep learning Topics Deep learning concepts and principles Deep learning conceptual architecture Business applications of deep learning People, process, skills, and infrastructure for Deep Learning The Deep Learning Project Readiness Assessment for Deep Learning Dec 13: Application of AI and Deep Learning in Energy Description: AI and deep learning is the next “great capability” organizations need for a competitive edge.  All industries are looking at this “great capability”, but each industry has different uses for deep learning. This 1-day course will explore the use cases for deep learning in the energy industry. The session will propose a case study that address how to plan for a deep learning project in pertinent to the energy industry Objectives Identify Deep Learning Strategies for Energy Analyze Energy Industry use cases Identify and prepare for a deep learning project Data preparation for deep learning Measuring Success for deep learning projects About TDWI For more than 20 years, TDWI has been raising the intelligence of data leaders and their teams with in-depth, applicable education and research, and an engaged worldwide membership community. TDWI Onsite delivers the highest quality business intelligence (BI), analytics, and data warehousing (DW) education. TDWI instructors are carefully selected, rigorously qualified, and routinely measured and observed to ensure that they achieve and sustain the highest standards for professional education. We require that our instructors have extensive BI experience and demonstrated teaching skills. In addition, all instructors are current BI practitioners who bring their real-world experience to every class. About the Instructor Dianne Larson President Larson & Associates With over 20 years of experience, Dr. Larson is an active practitioner and academic focusing on business intelligence and data warehousing. Dr. Larson completed her doctorate in management in information technology leadership. She holds project management professional (PMP) and certified business intelligence professional (CBIP) certifications. Dr. Larson attended AT&T Executive Training at Harvard Business School in 2001, focusing on IT leadership. She is a regular contributor to TDWI publications and presents several times a year at conferences. Dr. Larson is associate faculty at American Public University and University of Phoenix in the United States. Cancellation Policy Cancellations must be received in writing at least two weeks before the commencement of the seminar and will be subject to a 10% administration fee. Unfortunately, cancellations received within two weeks of the seminar date will be liable for the full seminar fee. Substitutions can be made at any time. [-]
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Kongsberg 5 dager 30 000 kr
You will learn machine learning, data mining, some statistics, data preparation, and how to interpret the results. [+]
K-tech er et kompetansesenter på Kongsberg som startet opp i 2008 med Kongsberg Defence & Aerospace, Technip FMC og GKN Aerospace som våre eiere. Vi er en kursleverandør som tilbyr kvalitetssikrede kurs innenfor en rekke sentrale områder som er etterspurt av industrien i Norge. Beskrivelse: This 5-day class is taught by Rafal Lukawiecki. Some of the topics will be introduced at level 200, without requiring you to have data science prerequisites, on the first day. However, as the class progresses, the level of the training will quickly increase to 300 and 400. You will learn machine learning, data mining, some statistics, data preparation, and how to interpret the results. You will see how to formulate business questions in terms of data science hypotheses and experiments, and how to prepare inputs to answer those questions. We will cover common issues and mistakes, how to resolve them, like overtraining, and how to cope with rare events, such as fraud. At the end of this course you will be able to plan and run data science projects. As a practicing data miner, Rafal will also share his decade of hands-on experience while teaching you about Azure Machine Learning (Azure ML) which is the foundation of Cortana Analytics Suite, and its highly-visual, on-premises companion, the SQL Server Analysis Services Data Mining engine, supplemented with the free open source and Cortana’s Revolution Analytics R software. We will use some Excel, however, most of our time will be spent in ML Studio, some in R, RStudio, SSDT, SSMS, and the Azure Portal.  For mere informasjon: http://www.glasspaper.no/kurs/2814.Practical-Data-Science-with-Rafal-Lukawiecki---Cortana-Analytics-Azure-Machine-Learning,-SQL-Data-Mining-and-R/ [-]
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Bærum 5 dager 20 000 kr
09 Apr
The main purpose of the course is to give students the ability to plan and implement big data workflows on HDInsight. [+]
About this course The main purpose of the course is to give students the ability to plan and implement big data workflows on HDInsight.   Audience profile The primary audience for this course is data engineers, data architects, data scientists, and data developers who plan to implement big data engineering workflows on HDInsight.   At course completion After completing this course, students will be able to: Deploy HDInsight Clusters. Authorizing Users to Access Resources. Loading Data into HDInsight. Troubleshooting HDInsight. Implement Batch Solutions. Design Batch ETL Solutions for Big Data with Spark Analyze Data with Spark SQL. Analyze Data with Hive and Phoenix. Describe Stream Analytics. Implement Spark Streaming Using the DStream API. Develop Big Data Real-Time Processing Solutions with Apache Storm. Build Solutions that use Kafka and HBase. [-]
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