60200 Courses

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cloudera Data Scientist Training course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 62.5 Days 375 CPD hours Cisco Learning Library: Data Center offers a subscription to Cisco online data center training, including certifications, products, and technologies.This comprehensive technical training library offers full-length, interactive certification courses, additional product and technology training with labs, and thousands of reference materials Data Center Library Certification Courses CCNP Data Center Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Designing Cisco Data Center Infrastructure (DCID) v7.0 Troubleshooting Cisco Data Center Infrastructure (DCIT) v7.0 Implementing Cisco Application Centric Infrastructure (DCACI) v1.0 Configuring Cisco MDS 9000 Series Switches (DCMDS) Implementing Automation for Cisco Data Center Solutions (DCAUI) CCIE Data Center Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Product and Technology Training Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Understanding Cisco Data Center Foundations (DCFNDU) v1.0 Implementing Cisco Application Centric Infrastructure (DCACI) v1.0 Introducing Cisco NX-OS Switches and Fabrics in the Data Center (DCINX) v1.0 Configuring Cisco NX-OS Switches and Fabrics in the Data Center (DCCNX) v1.0 Designing Cisco Data Center Infrastructure (DCID) v7.0 Troubleshooting Cisco Data Center Infrastructure (DCIT) v7.0 Implementing Cisco Application Centric Infrastructure?Advanced (DCACIA) v1.0 Introducing Cisco Unified Computing System (DCIUCS) v1.0 Configuring Cisco Unified Computing System (DCCUCS) v1.0 Implementing Cisco Tetration Analytics (DCITET) v1.0 Cisco MDS 9000 Series Switches Overview (DCMDSO) v1.0 Configuring Cisco Nexus 9000 in NX-OS Mode (C9KNX) v1.2 Configuring Cisco Nexus 9000 Series Switches in ACI Mode (DCAC9K) v3.0 Introducing Cisco Nexus 9000 Switches in NX-OS Mode (DCINX9K) v2.1 Configuring VXLANs on Cisco Nexus 9000 Series Switches (DCVX9K) v1.0 Cisco Application Centric Infrastructure Operations and Troubleshooting (DCACIO) v4.1 Configuring Cisco MDS 9000 Series Switches (DCMDS) v3.1 Introducing Cisco MDS 9000 Series Switches (DCIMDS) v1.0 Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 Introducing Automation for Cisco Solutions (CSAU) v1.0 Implementing Cisco HyperFlex (DCIHX) v1.2 Configuring the Cisco Nexus Data Center Transport (CCNDC-T) v2.0 Configuring the Cisco Nexus Data Center Virtual Machines (CCNDC-V) v2.0 Additional course details: Nexus Humans Cisco Digital Learning Data Center training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Digital Learning Data Center course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Project administrators and ETL developers responsible for data extraction and transformation using DataStage. Overview Describe the uses of DataStage and the DataStage workflowDescribe the Information Server architecture and how DataStage fits within itDescribe the Information Server and DataStage deployment optionsUse the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environmentImport and export DataStage objects to a fileImport table definitions for sequential files and relational tablesDesign, compile, run, and monitor DataStage parallel jobsDesign jobs that read and write to sequential filesDescribe the DataStage parallel processing architectureDesign jobs that combine data using joins and lookupsDesign jobs that sort and aggregate dataImplement complex business logic using the DataStage Transformer stageDebug DataStage jobs using the DataStage PX Debugger This course enables the project administrators & developers to acquire the skills necessary to develop parallel jobs in DataStage. Students will learn to create parallel jobs that access sequential & relational data, and combine and transform the data. Course Outline Introduction to DataStage Deployment DataStage Administration Work with Metadata Create Parallel Jobs Access Sequential Data Partitioning and Collecting Algorithms Combine Data Group Processing Stages Transformer Stage Repository Functions Work with Relational Data Control Jobs

Duration 5 Days 30 CPD hours This course is intended for Test Programme Managers, Test Managers, and anyone else wishing to take the ISTQB© Certified Tester Advanced Level Test Manager examination. Overview Whilst this course is focused on the syllabus, giving participants the maximum chance of passing the examination, it also contains many real world practical examples. On completion of this course, attendees will have an advanced understanding of test design techniques and will be fully prepared to take the ISTQB© Certified Tester Advanced Level Test Manager examination. ISTQB© is the standard for international qualifications in software testing at an advanced level. The course thoroughly prepares attendees for the ISTQB© Certified Tester Advanced Level Test Manager examination. Testing Process The fundamental test process Test levels and test types Test planning, monitoring and control Test analysis Test design Test implementation Test execution Evaluating exit criteria and reporting Test closure activities Test Management Test management in context Risk-based testing and other approaches for test prioritization and effort allocation Test documentation and other work products Project risk management Other test work products Test estimation Defining and using test metrics Business value of testing Distributed, outsourced, and insourced testing Managing the application of industry standards Reviews Management reviews and audits Managing reviews Metrics for reviews Managing formal reviews Defect Management The defect lifecycle and the software development lifecycle Cross-functional defect management Defect report information Assessing process capability with defect report information Improving the Testing Process Introduction Test improvement process Improving the testing process Improving the testing process with TMMI Improving the testing process with TPI Next Improving the testing process with CTP Improving the testing process with STEP Test Tools and Automation Tool selection Return on investment (ROI) Selection process Tool lifecycle Tool metrics People Skills ? Team Composition Individual skills Test team dynamics Fitting testing within an organization Motivation Communication

Duration 3 Days 18 CPD hours This course is intended for This course is designed for operators and schedulers who perform duties that are related to batch workload automation. Overview In this course, you learn how to perform the following tasks:Explain the production terminology used with IBM Workload Scheduler and its production planning processMonitor production batch workload processesManage production batch workloadCreate and modify scheduling objectsSchedule new workloadsForecast future workloadsMigrate workload definitions from test to production environmentsCreate and maintain reports about production workloads This course provides professional report authors an opportunity to learn report building techniques using relational data models. Demonstrations and exercises will illustrate and reinforce key concepts during this learning opportunity. IBM Workload Scheduler Introduction About Workload Automation IBM workload automation offerings IBM Workload Scheduler terminology Workload Scheduler user interfaces Getting started with Application Lab Getting started with the Dynamic Workload Console Connecting the console to Workload Scheduler Getting started with the command-line interfaces Using the Application Lab Interface Using the processes status overview page Managing processes Using other Application Lab functions Monitoring Workload Scheduler Production Monitoring Workload Scheduler production by using queries Using the Workload Dashboard Monitoring system status and health Monitoring plan objects Using the What-if Analysis interface Monitoring the plan graphically Managing Workload Scheduler Production Managing the scheduling environment Managing scheduling objects in the plan Creating Scheduling Objects Using the Workload Designer Creating scheduling objects Creating variables and variable tables Creating prompts and resources Creating calendars Defining jobs Scheduling, Forecasting, and Migrating Workloads Creating job streams Applying jobs to job streams Setting time and date restrictions Using advanced scheduling options Creating job stream definitions by using composer Creating and using event rules Forecasting and previewing future dates Exporting and importing scheduling definitions Using Workload Application Templates Reporting with Workload Scheduler Using reporting features Using Common Reporting with Workload Scheduler Using the batch reporting utility Using the preformatted text-based report utilities

Duration 1 Days 6 CPD hours This course is intended for This course is intended for students who want to use more advanced functionalities in Word, including image manipulation, collaboration and revision tracking, cross-referencing and linking, document security, forms, and process automation through macros. Overview In this course, you will learn to use the advanced capabilities of Word 2021. You will: Use images in a document. Create custom graphic elements. Collaborate on documents. Add reference marks and notes. Secure a document. Create and manipulate forms. Create macros to automate tasks. Microsoft© Word enables you to do far more than simple word processing. Word includes advanced image manipulation tools, collaboration features, cross-referencing and linking tools, entry forms and data collection, security features, and tools to automate document production. This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Word Associate (Office 365 and Office 2021): Exam MO-100 and Word Expert (Office 365 and Office 2021): Exam MO-101 certifications. Manipulating Images Topic A: Integrate Pictures and Text Topic B: Adjust Image Appearance Topic C: Insert Other Media Elements Using Custom Graphic Elements Topic A: Create Text Boxes and Pull Quotes Topic B: Add WordArt and Other Text Effects Topic C: Draw Shapes Topic D: Create Complex Illustrations with SmartArt Collaborating on Documents Topic A: Prepare a Document for Collaboration Topic B: Mark Up a Document Topic C: Review Markups Topic D: Merge Changes from Other Documents Adding Document References and Links Topic A: Add Captions Topic B: Add Cross-References Topic C: Add Bookmarks Topic D: Add Hyperlinks Topic E: Insert Footnotes and Endnotes Topic F: Add Citations and a Bibliography Securing a Document Topic A: Suppress Information Topic B: Set Formatting and Editing Restrictions Topic C: Restrict Document Access Topic D: Add a Digital Signature to a Document Using Forms to Manage Content Topic A: Create Forms Topic B: Modify Forms Automating Repetitive Tasks with Macros Topic A: Automate Tasks by Using Macros Topic B: Create a Macro

Duration 5 Days 30 CPD hours This course is intended for IS Security Owners Security Officers Ethical Hackers Information Owners Penetration Testers System Owners and Managers Cyber Security Engineers Overview Upon completion, the Certified Professional Ethical Hacker candidate will be able to competently take the C)PEH exam. To protect an information system you need to be able to see that system through the eyes of the attacker.ÿThe Certified Professional Ethical Hackerÿcertification course is the foundational training to Mile2?s line of penetration testing courses because it teaches you to think like a hacker.ÿ Therefore, you can set up dynamic defenses to prevent intrusion. First, you will learn the value of vulnerability assessments.ÿ Then, you will discover how to use those assessments to make powerful changes in an information system?s security. Additionally, you will learn how malware and destructive viruses function and how to implement counter response and preventative measures when it comes to a network hack. Course Introduction Introduction to Ethical Hacking Linux Fundamentals Protocols Cryptography Password Cracking Malware Security Devices Information Gathering ? Passive Reconnaissance Social Engineering Active Reconnaissance Vulnerability Assessment Network Attacks Hacking Servers Hacking Web Technologies Hacking Wireless Technologies Maintaining Access and Covering Tracks

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server and Windows Client administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of Windows PowerShell, or any scripting language, is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Exchange Server, SharePoint Server, SQL Server, System Center, and others. Overview After completing this course, students will be able to: Describe the functionality of Windows PowerShell and use it to run and find basic commands. Identify and run cmdlets for server administration. Work with Windows PowerShell pipeline. Describe the techniques Windows PowerShell pipeline uses. Use PSProviders and PSDrives to work with other forms of storage. Query system information by using WMI and CIM. Work with variables, arrays, and hash tables. Write basic scripts in Windows PowerShell. Write advanced scripts in Windows PowerShell. Administer remote computers. Use background jobs and scheduled jobs. Use advanced Windows PowerShell techniques. This course provides students with the fundamental knowledge and skills to use Windows PowerShell for administering and automating administration of Windows based servers. Getting Started with Windows PowerShell Overview and Background Understanding command syntax Finding commands Lab : Configuring Windows PowerShell Lab : Finding and Running Basic Commands Cmdlets for administration Active Directory administration cmdlets Network configuration cmdlets Other server administration cmdlets Lab : Windows Administration Working with the Windows PowerShell pipeline Understanding the Pipeline Selecting, Sorting, and Measuring Objects Filtering Objects Out of the Pipeline Enumerating Objects in the Pipeline Sending pipeline data as output Lab : Using the Pipeline Lab : Filtering Objects Lab : Enumerating Objects Lab : Sending output to a file Understanding How the Pipeline Works Passing the pipeline data Advanced considerations for pipeline data Lab : Working with Pipeline Parameter Binding Using PSProviders and PSDrives Using PSProviders Using PSDrives Lab : Using PSProviders and PSDrives Querying Management Information by Using WMI and CIM Understanding WMI and CIM Querying Data with WMI and CIM Making changes with WMI/CIM Lab : Working with WMI and CIM Working with variables, arrays, and hash tables Using variables Manipulating variables Manipulating arrays and hash tables Lab : Working with variables Basic scripting Introduction to scripting Scripting constructs Importing data from files Lab : Basic scripting Advanced scripting Accepting user input Overview of script documentation Troubleshooting and error handling Functions and modules Lab : Accepting data from users Lab : Implementing functions and modules Administering Remote Computers Using basic Windows PowerShell remoting Using advanced Windows PowerShell remoting techniques Using PSSessions Lab : Using basic remoting Lab : Using PSSessions Using Background Jobs and Scheduled Jobs Using Background Jobs Using Scheduled Jobs Lab : Using Background Jobs and Scheduled Jobs Using advanced Windows PowerShell techniques Creating profile scripts Using advanced techniques Lab : Practicing advanced techniques Lab : Practicing script development (optional)

Duration 3 Days 18 CPD hours This course is intended for Any Managed Service Provider who is designing VMware SD-WAN solutions or managing SD-WAN networks for their customers. Overview By the end of this course, you should be able to meet the following objectives: Explain VMware SD-WAN architecture Outline VMware SD-WAN key components Discuss various Managed Service Provider (MSP) use cases and deployment options Deploy VMware SD-WAN Gateway, and VMware SD-WAN Edge Manage VMware SD-WAN Cloud VPN Design VMware SD-WAN for performance and scalability Configure the Partner Gateway handoff Customers demand a scalable, secure, and manageable VMware SD-WAN? by VeloCloud©. To deliver a successful solution you must understand VMware SD-WAN architecture, know how the features can solve customer use cases, and be able to design a VMware SD-WAN that can be easily deployed, managed, and expanded. Course Introduction Introductions and course logistics Course objectives Architecture and Core Features Evaluate the current state of the enterprise WAN and limitations for growth Describe the key components and features of the VMware SD-WAN architecture Explain VMware SD-WAN component placement and interactions between components List VMware SD-WAN core value differentiators Describe VMware SD-WAN core features Evaluate the effect of VMware SD-WAN differentiators on a SD-WAN site deployment VMware SD-WAN MSP use Cases, Deployment Models, and License Models Compare VMware SD-WAN use cases List VMware SD-WAN deployment models Describe each VMware SD-WAN license model Zero Touch Provisioning Provision VMware SD-WAN Edges Describe the workflow of a VMware SD-WAN Edge activation. Provision a VMware SD-WAN Virtual Edge on VMware ESXi VMware SD-WAN Cloud VPN Configure the VMware SD-WAN Cloud VPN Consider the availability settings when deploying a Cloud VPN Describe the packet flow in a Cloud VPN Routing and Branch Design Control SD-WAN overlay and underlay route advertisement Overlay flow control Describe best practices when designing VMware SD-WAN with BGP Evaluate branch design options VMware SD-WAN Security Explain VMware SD-WAN security architecture Describe VMware SD-WAN Edge security capabilities High Availability Designs Distinguish between Standard and Enhanced High Availability (HA) and Virtual Router Redundancy Protocol (VRRP) Designing for Performance and Scale List the SD-WAN factors that influence scalability and performance Describe VMware SD-WAN Edge Clustering Standing up a Partner Gateway Describe VMware SD-WAN Gateway functionality and roles Provision a VMware SD-WAN Gateway from VMware SD-WAN Orchestrator Demonstrate the procedure to install a VMware SD-WAN Gateway on ESXi Describe how BGP works together with a Partner Gateway hand-off MSP Operations and Version Management Identify the appropriate documentation Demonstrate account management Describe the VMware SD-WAN upgrade sequence Demonstrate a VMware SD-WAN Edge and VMware SD-WAN Gateway upgrade

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server and Windows Client administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of Windows PowerShell, or any scripting language, is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Exchange Server, SharePoint Server, SQL Server, System Center, and others. Overview After completing this course, students will be able to:Describe the functionality of Windows PowerShell and use it to run and find basic commands.Identify and run cmdlets for server administration.Work with Windows PowerShell pipeline.Describe the techniques Windows PowerShell pipeline uses.Use PSProviders and PSDrives to work with other forms of storage.Query system information by using WMI and CIM.Work with variables, arrays, and hash tables.Write basic scripts in Windows PowerShell.Write advanced scripts in Windows PowerShell.Administer remote computers.Use background jobs and scheduled jobs.Use advanced Windows PowerShell techniques. This course provides students with the fundamental knowledge and skills to use Windows PowerShell for administering and automating administration of Windows based servers. Getting Started with Windows PowerShell Overview and Background Understanding command syntax Finding commands Lab : Configuring Windows PowerShell Lab : Finding and Running Basic Commands Cmdlets for administration Active Directory administration cmdlets Network configuration cmdlets Other server administration cmdlets Lab : Windows Administration Working with the Windows PowerShell pipeline Understanding the Pipeline Selecting, Sorting, and Measuring Objects Filtering Objects Out of the Pipeline Enumerating Objects in the Pipeline Sending pipeline data as output Lab : Using the Pipeline Lab : Filtering Objects Lab : Enumerating Objects Lab : Sending output to a file Understanding How the Pipeline Works Passing the pipeline data Advanced considerations for pipeline data Lab : Working with Pipeline Parameter Binding Using PSProviders and PSDrives Using PSProviders Using PSDrives Lab : Using PSProviders and PSDrives Querying Management Information by Using WMI and CIM Understanding WMI and CIM Querying Data with WMI and CIM Making changes with WMI/CIM Lab : Working with WMI and CIM Working with variables, arrays, and hash tables Using variables Manipulating variables Manipulating arrays and hash tables Lab : Working with variables Basic scripting Introduction to scripting Scripting constructs Importing data from files Lab : Basic scripting Advanced scripting Accepting user input Overview of script documentation Troubleshooting and error handling Functions and modules Lab : Accepting data from users Lab : Implementing functions and modules Administering Remote Computers Using basic Windows PowerShell remoting Using advanced Windows PowerShell remoting techniques Using PSSessions Lab : Using basic remoting Lab : Using PSSessions Using Background Jobs and Scheduled Jobs Using Background Jobs Using Scheduled Jobs Lab : Using Background Jobs and Scheduled Jobs Using advanced Windows PowerShell techniques Creating profile scripts Using advanced techniques Lab : Practicing advanced techniques Lab : Practicing script development (optional)