13020 GRE courses

Duration 4 Days 24 CPD hours This course is intended for This class is ideal for admins with at least 6 months of experience administering Salesforce, and is a great foundational course for anyone looking to earn their Salesforce Advanced Administrator credential. Overview Determine and implement appropriate data access and visibility settings. Manage configuration changes in a sandbox environment and move metadata between environments using change sets. Extend the functionality of your implementation with custom objects and apps. Extend your reporting to provide up-to-date views of your business. Customize the Salesforce mobile app and create quick actions to increase efficiency. Improve data quality so that the ongoing task of data maintenance is not so overwhelming. Implement complex business processes using workflow rules, Process Builder, approval processes, and flows. Take your Salesforce Administrator skills to the next level and supercharge your knowledge to solve pressing business needs. In this 4-day class, discover how to extend Salesforce with custom objects and Lightning apps, generate complex reports and dashboards, and automate complex business requirements to work more efficiently. Our Salesforce experts will share tips and best practices to take your admin skills to the next level and arm you with the skills to get more out of Salesforce. Record Access and Field Visibility Troubleshoot Record Access Understand the Impact of Territory Management on the Sharing Model Manage Field Visibility Change Management Manage Changes in a Sandbox Deploy Changes Using Change Sets Custom Objects and Apps Build Custom Objects, Tabs, and Apps Create Relationships Between Objects Use Delegated Administration Advanced Reporting Create Custom Report Types Build Exception Reports with Cross Filters Categorize Report Data with Bucketing Extend Summaries in Reports and Dashboards Display Multiple Views of Data Using Joined Reports Analyze Data Over Time with Historical Trending and Reporting Snapshots Salesforce Mobile App and Quick Actions Customize the Salesforce Mobile App Create Object-Specific Quick Actions Create Global Quick Actions Data Quality Assess, Cleanse, and Maintain Data Prevent Duplicate Records Using Duplicate Management Automated Business Processes Use Validation Rules, Formula Fields, Workflow Rules, and Process Builder to Enforce and Automate Business Processes Approval Processes Manage Approval Processes Troubleshoot Approval Processes Visual Workflow Understand Use Cases for Visual Workflow Build and Deploy a Flow Advanced Business Process Automation Understand When to Use Apex and Visualforce for Extending Business Process Automation Understand the Order of Execution for Automated Processes Use Debug Logs to Troubleshoot Business Process Issues

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is system installers, system integrators, system administrators, network administrators, and solutions designers. Overview At the end of this course, you will be able to: Describe the NSO's transactional application framework and mapping model options Describe the Reactive Fastmap design pattern and the NSO Configuration Database (CDB) subscriber in the NSO Transaction model Simplify packages to remove the need for subscriber applications, scale orchestration solutions, and integrate NSO with external systems (east-west integration)Describe the Cisco ESC architecture and integration with NSO, and how the NSO VNF Orchestration (VNFO) Release 2 bundle interacts with ESC for orchestration This course explores how to create advanced services using the NSO application framework and Python scripting with both new and existing Layer 3 Multiprotocol Label Switching (MPLS) VPN services. Students will also learn how to manage and scale these services, and how to use NSO Network Functions Virtualization (NFV) orchestration features and Cisco Elastic Services Controller (ESC) to manage Virtualized Network Functions (VNFs). Cisco NSO Programmability NSO Application Framework NSO Python Scripting NSO Python and Template-Based Services Resources Augmenting Cisco NSO Service Service Lifecycle and Integration Options Overview Greenfield Layer 3 MPLS VPN Service Brownfield Layer 3 MPLS VPN Service Managed Services Managed Services Overview Stacked Service Design Overview Design-Managed Network Services Scaling Service Orchestration Cisco NSO Network Functions Virtualization (NFV) Orchestration ETSI MANO Cisco ESC Cisco NSO Orchestration Additional course details: Nexus Humans Cisco Network Services Orchestrator Advanced Design (NSO300) 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 Network Services Orchestrator Advanced Design (NSO300) 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 2 Days 12 CPD hours This course is intended for This program is designed for students who have attended successfully the IJOS and JRE courses (prior to April 1, 2017) or the IJOS course (since April 3, 2017) and are working toward JNCIA-JUNOS certification. Overview The objectives for this course follow the requirements for the current JNCIA-JUNOS. At the end of this course, the successful student will be able to: Identify the concepts and functionality of various fundamental elements of networking Identify the concepts, benefits and functionality of the core elements of the Junos OS Identify the concepts, operation and functionality of the Junos user interfaces Identify the main elements for configuring Junos devices Describe how to configure basic components of a Junos device Identify methods of monitoring and maintaining Junos devices Describe monitoring and maintenance procedures for a Junos device Identify basic routing concepts and functionality for Junos devices Describe how to configure and monitor basic routing elements for a Junos device Identify the concepts and functionality of routing policy and firewall filters on Junos devices Describe how to configure and monitor routing policies and firewall filters on a Junos device Apply knowledge of Junos operating system configuration, operations, and functionality to real-world scenarios This two-day course provides students with intermediate switching knowledge and configuration examples using Junos Enhanced Layer 2 Software. Chapter 1: Course Introduction Course Introduction Chapter 2: Layer 2 Switching Ethernet Bridging Basics Terminology and Design Considerations Overview of Enterprise Switching Platforms Enabling and Monitoring Layer 2 Switching Operations Lab 1: Implementing Layer 2 Switching Chapter 3: Virtual Networks Overview of VLANs Configuring and Monitoring VLANs Voice VLAN Native VLAN Routed VLAN Interfaces Lab 2: Implementing Virtual Networks Chapter 4: Routing Instances Routing Instances Overview Configuring and Monitoring Virtual Switches Chapter 5: Spanning Tree Spanning Tree Protocol Rapid Spanning Tree Protocol Configuring and Monitoring STP and RSTP Protection Features: BPDU Protection Protection Features: Loop Protection Protection Features: Root Protection Lab 3: Implementing Spanning Tree Chapter 6: Port Security MAC Limiting Persistent MAC Learning DHCP Snooping Dynamic ARP Inspection (DAI) IP Source Guard Lab 4: Implementing Port Security Chapter 7: Device Security and Firewall Filters Storm Control Firewall Filters Lab 5: Implementing Storm Control and Firewall Filters Chapter 8: Virtual Chassis Overview of Virtual Chassis Configuring and Monitoring a Virtual Chassis Lab 6: Implementing a Virtual Chassis System Chapter 9: High Availability Features Overview of High Availability Networks Link Aggregation Groups Redundant Trunk Groups Graceful Routing Engine Switchover (GRES) Nonstop Active Routing (NSR) Nonstop Bridging (NSB) Lab 7: Implementing High Availability Features

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level course, designed for anyone wanting to learn Linux. Attendees should be comfortable working with computers and the command line, but no other specific skills are required to attend. Overview This skills-focused course is about 50% lab to lecture ratio, combining expert instructor-led discussions with practical hands-on labs that emphasize current techniques, best practices and standards. Working in a hands-on lab environment, guided by our expert practitioner, attendees will explore The Design of Linux Basic Operations File System Basics Wildcards File and Directory Permissions Working with files Executing Programs Using find Filters and other useful commands The vi editor Customizing the user environment Networking/Communications Backups and archiving This hands-on course provides you with an essentials-level foundation in core skills for using any version of Linux. This course focuses on essential skills that ordinary users might use daily when working with Linux. The Design of Linux A brief history of Linux The Linux design philosophy Linux architecture Basic Operations Logging in and out The general form of a Linux command Common commands Using man pages Essential commands File System Basics The Linux directory structure Standard directories Relative and absolute pathnames Legal file names Navigating the filesystem Wildcards Matching one character Matching many characters Shortcuts Wildcard gotchas Wildcards and ls File and Directory Permissions Viewing permissions File permissions Directory permissions Setting defaults Changing permissions Keeping data secure Working with files Viewing contents Identifying file contents Copying and moving Deleting Using symbolic links Executing Programs Redirecting STDOUT Redirecting STDERR Redirecting STDIN Creating pipelines Processes attributes Listing processes Killing processes Foreground & background processes Using find Syntax Finding by name, type, or size Combining tests Finding by size, owner, or timestamps Using xargs with find Other find options Filters and other useful commands What is a filter? cat: a generic filter head and tail grep sort wc other interesting filters The vi editor Why vi? Basic vi operations: navigating, adding, deleting Advanced operations: buffer management, search and replace, configuration options Customizing the user environment About shells Shell startup files Shell variables Search path Aliases Simple shell scripts Networking/Communications Reading and sending mail Remote login Remote file transfer Other network utilities (ping, finger, etc) Backups and archiving Checking space used or available Creating tar archives Viewing and extracting files from archives Compression utilities Working with windows

Duration 1 Days 6 CPD hours This course is intended for This course is intended for new users employed in a data processing environment who are new to Power Systems with IBM i. Overview After completing this course, you should be able to:Explain the functions supported by IBM i operating systemsExplain Power System with IBM i models and generationsExplain which applications are supportedSign on / off the systemUse the display station keyboardUse the online help that is availableUse the different interfaces available for IBM iUnderstand how objects are managedEnter control language (CL) commandsSend and receive messages and work with message queuesManage work and outputExplain basic security concepts on IBM i In this classroom course, you will learn basic concepts and skills you need to be productive users on Power Systems with IBM i. With plenty of hands-on lab exercises, we show everything from signing onto the available user interfaces; green screen environment and IBM Navigator for i.You will learn how objects are managed on the system and how you display these objects. You will learn to use control language (CL) commands (fast path) and how to work with and manage messages on the system. Students will also learn how to the system manages work and how you manage your printouts. Lastly, students will also get a basic overview of security. Introduction and overview to IBM iUsing the 5250 emulation interfaceOverview of IBM I Access Client SolutionsUsing IBM Navigator for iUsing the messages function on IBM iUsing CL commands on IBM iManaging objects on IBM iManaging your work on IBM iIBM i security overviewAdditional education Additional course details: Nexus Humans OE98 Introduction to IBM i for New Users 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 OE98 Introduction to IBM i for New Users 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 5 Days 30 CPD hours This course is intended for This course is intended for: Solutions Architects who are new to designing and building cloud architectures Data Center Architects who are migrating from on-premises environment to cloud architectures Other IT/cloud roles who want to understand how to design and build cloud architectures Overview Make architectural decisions based on AWS architectural principles and best practices Use AWS services to make your infrastructure scalable, reliable, and highly available Use AWS Managed Services to enable greater flexibility and resiliency in an infrastructure Make an AWS-based infrastructure more efficient to increase performance and reduce costs Use the Well Architected Framework to improve architectures with AWS solutions This course combines Architecting on AWS and Advanced Architecting on AWS to offer a comprehensive, immersive course in cloud architecture. It covers all aspects of how to architect for the cloud over 5 days. You will learn how to design cloud architectures, starting small and working to large-scale enterprise level designs?and everything in between. Starting with the Well Architected Framework, you will be immersed in AWS services like compute, storage, database, networking, security, monitoring, automation, optimization, benefits of de-coupling applications and serverless, building for resilience, and understanding costs. Using hands-on labs, you will apply knowledge from lectures to gain skills. Course Outline The Well-Architected Framework Networking with AWS Core AWS concepts, knowledge, and services, including designing your environment and making your environment highly available Event-driven scaling Automation Decoupling Building for resilience Optimization Serverless designs Data security Advance networking topics Migration How to grow your architecture from small to extremely large Additional course details: Nexus Humans Architecting on AWS Accelerator 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 Architecting on AWS Accelerator 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 1 Days 6 CPD hours This course is intended for This course is intended for customer service professionals with some experience in the field who want to expand or refresh their knowledge and improve their skills. It is also intended for customer service professionals who have taken on, or are looking to assume, greater leadership responsibility. Overview In this course, you will refresh and expand your customer service skill set. You will: Apply fundamental customer service knowledge and skills. Manage your everyday workflow. Take care of customers by assessing their needs, resolving their issues, and encouraging further sales. Deal with challenging customer interactions. Apply customer service leadership skills In this course, you will apply important principles and skills you can use as a customer service professional. In addition to providing basic customer service, you'll also learn important principles and skills that will empower you to solve difficult and challenging customer interactions, encourage further sales, and take on leadership responsibilities. Applying Customer Service Foundations Topic A: Assess Customer Service Basics Topic B: Develop Interpersonal Skills Managing Your Workflow Topic A: Apply Organizational Skills Topic B: Handle Simultaneous Customer Contacts Topic C: Manage Individual Stress Taking Care of Customers Topic A: Maintain Focus on the Issue Topic B: Assess Customers Topic C: Diagnose Customers? Problems Topic D: Educate the Customer Topic E: Resolve Customers? Problems Topic F: Encourage Further Sales Through Service Dealing with Challenging Customer Interactions Topic A: Recognize Difficult Situations Topic B: Work within Your Company Parameters Topic C: Handle a Difficult Interaction Topic D: Overcome Negativity Topic E: Redirect the Customer Topic F: Follow Up on a Challenging Situation Progressing to Leadership Topic A: Lead from Within Your Team Topic B: Address Escalated Customer Issues Topic C: Analyze Customer Service Metrics Additional course details: Nexus Humans Excellence in Customer Service (Advanced) 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 Excellence in Customer Service (Advanced) 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 A Dynamics 365 Customer Engagement Functional Consultant is responsible for performing discovery, capturing requirements, engaging subject matter experts and stakeholders, translating requirements, and configuring the solution and applications. The Functional Consultant implements a solution using out-of-the-box capabilities, codeless extensibility, application, and service integrations. Overview Install and configure the customer service app Identify common customer service scenarios Complete a case resolution process Analyze customer service data Automate case management record processing Create and use knowledge articles Create and use entitlements and service level agreements Microsoft Dynamics 365 for Customer Service offers any organization an opportunity for customer success. Using tools such as automatic case creation and queue management frees up time to dedicate where a greater impact can be made, directly with customers. Our team of globally recognized experts take students step by step, from creating cases, to interacting with customers, to resolving those cases. Once those cases are resolved, students will learn from data analysis the key details to help resolve similar cases faster or avoid new issues altogether. Customer Service Overview Lesson 1: Create case records Lesson 2: Related service apps Lesson 3: Analytics for service Lesson 4: AI for service Lesson 5: Configuring customer service Lesson 6: Module summary Case Management Lesson 1: Case management overview Lesson 2: Creating case records Lesson 3: Queue management Lesson 4: Case routing Lesson 5: Resolving cases Lesson 6: Module summary Service Level Agreements and Entitlements Lesson 1: SLA and entitlement overview Lesson 2: Create and manage entitlements Lesson 3: Create and manage S Knowledge Management Lesson 1: Knowledge management overview Lesson 2: Authoring and organizing Lesson 3: Use knowledge content Lesson 4: Manage knowledge content Lesson 5: Module summary Additional course details: Nexus Humans MB-230T01 Dynamics 365 for Customer Engagement for Customer Service 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 MB-230T01 Dynamics 365 for Customer Engagement for Customer Service 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 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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.