2839 DOM courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 5 Days 30 CPD hours This course is intended for This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes. Overview Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each theses area affects an overall solution. Implement Azure Active Directory Overview of Azure Active Directory Users and Groups Domains and Custom Domains Azure AD Identity Protection Implement Conditional Access Configure Fraud Alerts for MFA Implement Bypass Options Configure Guest Users in Azure AD Configure Trusted IPs Manage Multiple Directories Implement and Manage Hybrid Identities Install and Configure Azure AD Connect Configure Password Sync and Password Writeback Configure Azure AD Connect Health Implement Virtual Networking Virtual Network Peering Implement VNet Peering Implement VMs for Windows and Linux Select Virtual Machine Size Configure High Availability Implement Azure Dedicated Hosts Deploy and Configure Scale Sets Configure Azure Disk Encryption Implement Load Balancing and Network Security Implement Azure Load Balancer Implement an Application Gateway Understand Web Application Firewall Implement Azure Firewall Implement Azure Front Door Implementing Azure Traffic Manager Implement Storage Accounts Storage Accounts Blob Storage Storage Security Managing Storage Accessing Blobs and Queues using AAD Implement NoSQL Databases Configure Storage Account Tables Select Appropriate CosmosDB APIs Implement Azure SQL Databases Configure Azure SQL Database Settings Implement Azure SQL Database Managed Instances High-Availability and Azure SQL Database In this module, you will learn how to Create an Azure SQL Database (single database) Create an Azure SQL Database Managed Instance Recommend high-availability architectural models used in Azure SQL Database Automate Deployment and Configuration of Resources Azure Resource Manager Templates Save a Template for a VM Evaluate Location of New Resources Configure a Virtual Hard Disk Template Deploy from a template Create and Execute an Automation Runbook Implement and Manage Azure Governance Create Management Groups, Subscriptions, and Resource Groups Overview of Role-Based Access Control (RBAC) Role-Based Access Control (RBAC) Roles Azure AD Access Reviews Implement and Configure an Azure Policy Azure Blueprints Manage Security for Applications Azure Key Vault Azure Managed Identity Manage Workloads in Azure Migrate Workloads using Azure Migrate VMware - Agentless Migration VMware - Agent-Based Migration Implement Azure Backup Azure to Azure Site Recovery Implement Azure Update Management Implement Container-Based Applications Azure Container Instances Configure Azure Kubernetes Service Implement an Application Infrastructure Create and Configure Azure App Service Create an App Service Web App for Containers Create and Configure an App Service Plan Configure Networking for an App Service Create and Manage Deployment Slots Implement Logic Apps Implement Azure Functions Implement Cloud Infrastructure Monitoring Azure Infrastructure Security Monitoring Azure Monitor Azure Workbooks Azure Alerts Log Analytics Network Watcher Azure Service Health Monitor Azure Costs Azure Application Insights Unified Monitoring in Azure

Duration 3 Days 18 CPD hours This course is intended for This course is recommended for administrators and engineers. Overview What you'll learn: Understand the differences between Citrix Virtual Apps and Desktops 2203 LTSR on-premises and the Citrix DaaS. Install, configure, and manage Citrix Cloud Connectors. Create Citrix DaaS workloads. Deliver app and desktop resources to users. Migrate existing on-premises Citrix Virtual Apps and Desktops 2203 LTSR infrastructure to Citrix Cloud. In this course you will learn how to create a new Citrix DaaS deployment and how to migrate to Citrix DaaS from an on-premises Citrix Virtual Apps and Desktops Site. Get hands-on as the course guides you through the architecture, communications, management, installation, and configuration of Citrix DaaS on Citrix Cloud and resource locations that the host apps and desktops for your users. This course is a necessary step in enabling you with the right training and skills, to not only understand, manage, and deliver successfully, but also to make well-informed planning decisions along the way. Module 1: Introduction to Citrix DaaS New Citrix Workspace Packaging Citrix Virtual Apps and Desktops - On- Premises Site What is Citrix Cloud? Why Citrix DaaS? What is a Migration from Citrix Virtual Apps and Desktops to Citrix DaaS? Citrix Cloud Administration Module 2: Planning - Citrix DaaS Architecture, Security, and Operations Architecture and Deployment Options Citrix DaaS Security Citrix DaaS Operations Module 3: Planning - Citrix Cloud Connectors Cloud Connector Architecture Cloud Connector Services and Communications Overview Cloud Connector Operations in a Resource Location Cloud Connector Resiliency Installing, Updating, and Removing Cloud Connectors Supported Domain Scenarios for Cloud Connectors Securing Cloud Connector Communications Local Host Cache (LHC) Citrix Cloud Connector vs Delivery Controller Operations Module 4: Planning - Citrix DaaS Resource Locations Citrix DaaS Resource Locations Citrix DaaS Hosting Connections Zones Module 5: Active Directory, Authentication, and Authorization Active Directory Design Options Desktops from Non-Domain Joined VDAs Citrix Federated Authentication Service and Identity Provider Services Module 6: Planning - Provisioning VDA Workloads and Delivering Resources Master Images Machine Creation Services (MCS) in Citrix DaaS Citrix Provisioning in Citrix DaaS Machine Catalogs Delivery Groups Citrix Cloud Library Module 7: Planning - Provisioning VDA Workloads and Delivering Resources Selecting Between Citrix digital workspace experience and StoreFront Citrix StoreFront and Citrix digital workspace experience Communications Selecting Between Citrix Gateway Service and On-Premises Citrix Gateway Access Layer Communications User Authentication Module 8: Planning - Citrix DaaS Administration Citrix Cloud Manage and Monitor Delegated Administration Citrix DaaS Remote PowerShell Software Development Kit Manage Multiple Resource Locations Module 9: Planning - Public Cloud Considerations General Public Cloud Considerations Using Autoscale to Power Manage Machines in a Public Cloud Microsoft Azure as a Citrix DaaS Resource Location Amazon Web Services as a Citrix DaaS Resource Location Google Cloud as a Citrix DaaS Resource Location Module 10: Planning - Migrating to Citrix DaaS from Citrix Virtual Apps and Desktops Citrix Cloud Migration Options and Considerations Citrix Automated Configuration Tool Citrix Image Portability Service Module 11: Manage - Operations and Support in Citrix Cloud Citrix Cloud Connector Support Updating and Rolling Back Machine Catalogs VDA Restore Citrix Self-Help Strategy Monitor Your Environment Additional course details: Nexus Humans CWS-250 Citrix DaaS Deployment and Administration 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 CWS-250 Citrix DaaS Deployment and Administration 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 for network professionals who need to learn the techniques to implement, configure, monitor, and support Service Provider VPN solutions based on MPLS backbones. Network administrators Network engineers Network supervisors Network managers Network Operations Center (NOC) personnel Network designers Network architects Channel partners Overview After taking this course, you should be able to: Describe VPN concepts and operation in a Service Provider environment Implement Layer 3 MPLS VPN operations in a Service Provider environment Implement Layer 3 Inter-domain MPLS VPN services traversing multiple Service Providers Implement Layer 3 Multicast MPLS VPN operations in a Service Provider environment Troubleshoot typical issues in Layer 3 MPLS VPN environments Implement Layer 2 VPN operations in a Service Provider environment Troubleshoot Layer 2 VPN issues in a Service Provider network Implement MPLS VPN solutions for IPv6 environments Troubleshoot MPLS VPN solutions for IPv6 environments The Implementing Cisco Service Provider VPN Services (SPVI) 5-day course prepares you to manage end-customer Virtual Private Network (VPN) environments built over a common service provider Multiprotocol Label Switching (MPLS) backbone. You will complete hands-on labs to reinforce MPLS VPN fundamental concepts, benefits, and classification, MPLS components, MPLS control plane and data plane operations, MPLS VPN routing using Virtual Routing and Forwarding (VRF), Layer 2 and Layer 3 MPLS VPNs, IPv6 MPLS VPN implementations, IP Multicast VPNs, and shared services VPNs. The course also covers solutions for deploying MPLS VPN crossing multiple Service Provider domains that improve the use of network bandwidth.The course qualifies for 40 Cisco Continuing Education credits (CE) towards recertification.This course prepares you for the 300-515 Implementing Cisco© Service Provider VPN Services (SPVI) exam. By passing this exam, you earn the Cisco Certified Specialist - Service Provider VPN Services Implementation certification, and you satisfy the concentration exam requirement for the CCNP© Service Provider certification.This course will help you:Gain valuable skills in reinforcing MPLS VPN fundamental concepts, benefits, and classificationsLearn to configure optional paths for traffic to avoid network congestionPrepare to take the 300-515 SPVI exam Introducing VPN Services VPN Fundamentals MPLS VPN Control Plane Operation Troubleshooting MPLS VPN Underlay Troubleshoot Core Interior Gateway Protocol (IGP) Troubleshoot Border Gateway Protocol (BGP) Implementing Layer 3 MPLS VPNs Multiprotocol BGP (MP-BGP) Routing Requirements in MPLS VPNs Provider Edge to Customer Edge (PE-to-CE) Routing Requirements in Layer 3 MPLS VPNs Implementing Layer 3 Interdomain MPLS VPNs Inter-Autonomous System (AS) for Layer 3 MPLS VPNs Content Security and Control (CSC) for Layer 3 MPLS VPNs Implementing Layer 3 Multicast MPLS VPNs Multicast VPN (MVPN) Fundamentals Implement Intranet MVPN Troubleshooting Intra-AS Layer 3 VPNs Troubleshoot PE-CE Connectivity Troubleshoot PE-to-Route Reflecto Implementing Layer 2 VPNs Layer 2 Service Architecture and Carrier Ethernet Services Refresh on Traditional Ethernet LAN (E-LAN), E-Line, and E-Tree Solutions Troubleshooting Layer 2 VPNs Troubleshoot Common Issues for Traditional E-Line, E-LAN, and E-Tree Ethernet Solutions Troubleshoot Common Issues for Ethernet VPN (EVPN) Native, EVPN Virtual Private Wire Service (VPWS), and EVPN Integrated Routing and Bridging (IRB) Solutions Implementing Layer 3 IPv6 MPLS VPNs Classical Solutions for Deploying IPv6 over IPv4 Environments Using 6VPE to Deploy IPv6 Connectivity over MPLS Environment Troubleshooting Layer 3 IPv6 MPLS VPNs Troubleshooting PE-to-PE Connectivity Additional course details: Nexus Humans Cisco Implementing Cisco Service Provider VPN Services 1.0 (SPVI) 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 Implementing Cisco Service Provider VPN Services 1.0 (SPVI) 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 3 Days 18 CPD hours This course is intended for This course is intended for intermediate to advanced Business Analysts who are looking to improve their skills for eliciting, analyzing, documenting, validating, and communicating requirements. Overview Obtain a thorough understanding of the core responsibilities of the business analyst Understand the main professional associations and standards supporting business analysts in the industry Discuss and explore the components of each of the domains/knowledge areas that comprise the work of business analysis Recognize the importance of properly defining the business need prior to engaging in requirements activities Formulate a strong understanding of the concepts that comprise strategy analysis Obtain experience with identifying and analyzing stakeholders Decipher between project and product scope and successfully use models to communicate scope Thoroughly understand and identify the various requirements categories and be able to recognize requirements of various types Explore business rules analysis Understand the benefits of process modeling and the common modeling language of BPMN Discuss process models and how the techniques can capture details about the as-is/to-be environment Learn how to properly prepare and conduct interviews Explore the components of use cases Learn what it means to package requirements Obtain hands-on experience with a number of business analysis techniques and gain hands-on experience eliciting, defining, and writing requirements. This course provides students a clear understanding of all the facets of the business analysis role, including a thorough walkthrough of the various domain/knowledge areas that comprise the business analysis profession. Students are provided an opportunity to try their hand at several business analysis techniques to assist with improving their skills in stakeholder identification, scope definition, and analyzing, documenting, and modeling requirements. Introduction to Business Analysis What is business analysis Benefits and challenges of business analysis Project success factors A Closer Look at the Business Analyst Role Definition of a business analyst Responsibilities of a business analyst Importance of communication/collaboration BA role vs. PM role Project roles involved in requirements IIBA/PMI and the goals of a professional association Purpose for having a BA standard IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Business analysis beyond project work Business analysis core concepts Business analysis perspectives IIBA and PMI certifications for business analysts Workshop: Choose Your Project Supporting the Project Portfolio (Enterprise Analysis) Define Strategy Analysis When to perform Strategy Analysis Components of Strategy Analysis Defining the business need Envisioning the Product and Project Defining business requirements The importance of stakeholders Stakeholder identification Tips for analyzing stakeholders Techniques for managing stakeholder lists Discussion: Who is involved in strategy analysis? Workshops: Define the Business Need, Write Business Requirements, and Identify Stakeholders Understanding and Defining Solution Scope Defining solution scope Techniques for defining solution scope Applying the brainstorming technique Project scope vs. Product scope Finding solution boundaries The Context Diagram Actors and key information Workshop: Draw a Context Diagram Understanding Requirements What is a requirement? Requirement types Business, Stakeholder, Solution, and Transition requirements Assumptions and constraints Business rules Taxonomy of business rules Decision tables How to write simple calculations Requirements vs. business rules Document requirements Workshop ? Document Requirements Elicitation and Process Modeling Why do we model processes? What is Business Process Management? Using a modeling notation ?As Is? vs. ?To Be? modeling Why use BPMN? Basic BPM notation Business Process Modeling ? A case study Business Process Realignment ?As Is? vs. ?To Be? activity diagrams Workshop: Create a Business Process Model Planning & Eliciting Requirements Interviewing ? what and why? Preparing for an effective interview Types of questions to ask Sequencing questions Active listening techniques Planning for elicitation Conducting the interview Establishing rapport Active Listening Feedback techniques Types of elicitation techniques Workshops: Planning for Elicitation and Conducting an Elicitation Session Use Case & User Story Analysis What is an Actor? Types of Actors How to ?find? Use Cases? Diagramming Use Cases Tips on naming Use Cases Explaining scenarios The use case template Components of a use case Scenario examples Best practices for writing Use Cases Scenarios and flows Alternate and exception flows Exercises: Drawing a Use Case Diagram, Writing the Main Success Scenario, and Writing Alternate and Exception Scenarios Analyzing & Documenting Requirements Requirements and Use Cases Non-Functional requirements User Interface Requirements UI Data Table Reporting requirements Data requirements Data accessibility requirements Characteristics of good requirements The business requirements document (BRD) BRD vs. Functional Requirements Specification Preparing the requirements package Requirements traceability Workshops: Develop a User Interface, Analyzing Requirements, and Tracing requirements Additional Resources Useful books and links on writing effective requirements

Duration 5 Days 30 CPD hours This course is intended for Network designers Network administrators Network engineers Systems engineers Data center engineers Consulting systems engineers Technical solutions architects Field engineers Cisco integrators and partners Server administrator Network manager Overview After taking this course, you should be able to: Implement routing and switching protocols in Data Center environment Implement overlay networks in data center Introduce high-level Cisco Application Centric Infrastructure (Cisco ACI™) concepts and Cisco Virtual Machine manager (VMM) domain integration Describe Cisco Cloud Service and deployment models Implement Fibre Channel fabric Implement Fibre Channel over Ethernet (FCoE) unified fabric Implement security features in data center Implement software management and infrastructure monitoring Implement Cisco UCS Fabric Interconnect and Server abstraction Implement SAN connectivity for Cisco Unified Computing System™ (Cisco UCS) Describe Cisco HyperFlex™ infrastructure concepts and benefits Implement Cisco automation and scripting tools in data center Evaluate automation and orchestration technologies The Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.2 course helps you prepare for the Cisco CCNP Data Center and CCIE Data Center certifications for advanced-level data center roles. In this course, you will master the skills and technologies you need to implement data center compute, LAN and SAN infrastructure. You will also learn the essentials of automation and security in data centers. You will gain hands-on experience deploying, securing, operating, and maintaining Cisco data center infrastructure including: Cisco MDS Switches and Cisco Nexus Switches; Cisco Unified Computing System (Cisco UCS) B-Series Blade Servers, and Cisco UCS C-Series Rack Servers. This course also earns you 64 Continuing Education (CE) credits towards recertification. This course, including the self-paced material prepares you to take the exam: 350-601 Implementing Cisco Data Center Core Technologies (DCCOR) This course will help you: Gain experience implementing, securing and automating network, compute, and storage infrastructure Gain knowledge and skills through Cisco?s unique combination of lessons and hands-on practice using enterprise-grade Cisco learning technologies, data center equipment, and software Qualify for professional and expert-level job roles in the high-demand area of enterprise-class data center environments Earn 64 CE credits toward recertification This course will help you prepare to take the 350-601 DCCOR exam. This exam tests your knowledge of implementing core data center technologies including network, compute, storage network, automation, and security. After you pass 350-601 DCCOR: You earn the Cisco Certified Specialist - Data Center Core certification and you satisfy the core requirement for these certifications: CCNP Data Center CCIE Data Center Implementing Data Center Switching Protocols* Spanning Tree Protocol Port Channels Overview Implementing First-Hop Redundancy Protocols* Hot Standby Router Protocol (HSRP) Overview Virtual Router Redundancy Protocol (VRRP) Overview Implementing Routing in Data Center* Open Shortest Path First (OSPF) v2 and Open Settlement Protocol (OSP) v3 Border Gateway Protocol Implementing Multicast in Data Center* IP Multicast in Data Center Networks Internet Group Management Protocol (IGMP) and Multicast Listener Discovery (MLD) Implementing Data Center Overlay Protocols Cisco Overlay Transport Virtualization Virtual Extensible LAN Implementing Network Infrastructure Security* User Accounts and Role Based Access Control (RBAC) Authentication, Authorization, and Accounting (AAA) and SSH on Cisco NX-OS Describing Cisco Application-Centric Infrastructure Cisco ACI Overview, Initialization, and Discovery Cisco ACI Management Describing Cisco ACI Building Blocks and VMM Domain Integration Tenant-Based Components Cisco ACI Endpoints and Endpoint Groups (EPG) Describing Packet Flow in Data Center Network* Data Center Traffic Flows Packet Flow in Cisco Nexus Switches Describing Cisco Cloud Service and Deployment Models Cloud Architectures Cloud Deployment Models Describing Data Center Network Infrastructure Management, Maintenance, and Operations* Time Synchronization Network Configuration Management Explaining Cisco Network Assurance Concepts* Need for Network Assurance Cisco Streaming Telemetry Overview Implementing Fibre Channel Fabric Fibre Channel Basics Virtual Storage Area Network (VSAN) Overview Implementing Storage Infrastructure Services Distributed Device Aliases Zoning Implementing FCoE Unified Fabric Fibre Channel over Ethernet Describing FCoE Implementing Storage Infrastructure Security* User Accounts and RBAC Authentication, Authorization, and Accounting Describing Data Center Storage Infrastructure Maintenance and Operations* Time Synchronization Software Installation and Upgrade Describing Cisco UCS Server Form Factors* Cisco UCS B-Series Blade Servers Cisco UCS C-Series Rack Servers Implementing Cisco Unified Computing Network Connectivity Cisco UCS Fabric Interconnect Cisco UCS B-Series Connectivity Implementing Cisco Unified Computing Server Abstraction Identity Abstraction Service Profile Templates Implementing Cisco Unified Computing SAN Connectivity iSCSI Overview Fibre Channel Overview Implementing Unified Computing Security User Accounts and RBAC Options for Authentication Introducing Cisco HyperFlex Systems* Hyper converged and Integrated Systems Overview Cisco HyperFlex Solution Describing Data Center Unified Computing Management, Maintenance, and Operations* Compute Configuration Management Software Updates Implementing Cisco Data Center Automation and Scripting Tools* Cisco NX-OS

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 intense, two-day program is designed to prepare attendees who have previously taken the Introduction to the Junos Operating System (IJOS) course for taking the certification exam while simultaneously gaining insight into real-world applications Session 1: Practice Labs Guided practice labs to reintroduce the lab environment Session 2: Real-World Scenario Labs Labs that emulate real-world application of JNCIA-level knowledge, configurations, operations, and functionality. These labs will challenge students to complete scenario-based problems to accomplish specific network goals. Session 3: Networking Fundamentals Collision domains and broadcast domains Function of routers and switches Optical network fundamentals ? SONET/SDH, OTN Ethernet networks Layer 2 addressing, including address resolution IPv4 and IPv6 fundamentals Layer 3 / IP addressing, including subnet masks Subnetting and supernetting Decimal to binary conversion Longest match routing Connection-oriented vs. connectionless protocols Session 4: Junos OS Fundamentals Junos device portfolio ? product families, general functionality Software architecture Control and forwarding planes Routing Engine and Packet Forwarding Engine Protocol daemons Transit traffic processing Exception traffic Session 5: User Interfaces CLI functionality CLI modes CLI navigation CLI Help Filtering output Active vs. candidate configuration Reverting to previous configurations Modifying, managing, and saving configuration files Viewing, comparing, and loading configuration files J-Web ? core/common functionality Session 6: Junos Configuration Basics Initial configuration User accounts Login classes User authentication methods Interface types and properties Configuration groups Additional initial configuration elements ? NTP, SNMP, syslog, etc. Configuration archival Logging and tracing Rescue configuration Session 7: Operational Monitoring and Maintenance Show commands Monitor commands Interface statistics and errors Network tools ? ping, traceroute, telnet, SSH, etc. Real-time performance monitoring (RPM) Junos OS installation Software upgrades Powering on and shutting down Junos devices Root password recovery Session 8: Routing Fundamentals Packet forwarding concepts Routing tables Routing vs. forwarding tables Route preference Routing instances Static routing Advantages of / use cases for dynamic routing protocols Session 9: Routing Policy and Firewall Filters Default routing policies Import and export policies Routing policy flow Effect of policies on routes and routing tables Policy structure and terms Policy match criteria, match types, and actions Firewall filter concepts Firewall filter concepts Filter match criteria and actions Effect of filters on packets Unicast reverse-path-forwarding (RPF) Session 10: JNCIA-JUNOS Certification Exam The exam voucher is included in the price of the course DWWTC is a certified PearsonVUE Testing Center' Additional course details: Nexus Humans JNCIA Practicum and Exam Preparation 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 JNCIA Practicum and Exam Preparation 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 Network designers Network administrators Network engineers Systems engineers Data center engineers Consulting systems engineers Technical solutions architects Field engineers Cisco integrators and partners Server administrator Network manager Overview After taking this course, you should be able to: Implement routing and switching protocols in Data Center environment Implement overlay networks in data center Introduce high-level Cisco Application Centric Infrastructure (Cisco ACI™) concepts and Cisco Virtual Machine manager (VMM) domain integration Describe Cisco Cloud Service and deployment models Implement Fibre Channel fabric Implement Fibre Channel over Ethernet (FCoE) unified fabric Implement security features in data center Implement software management and infrastructure monitoring Implement Cisco UCS Fabric Interconnect and Server abstraction Implement SAN connectivity for Cisco Unified Computing System™ (Cisco UCS) Describe Cisco HyperFlex™ infrastructure concepts and benefits Implement Cisco automation and scripting tools in data center Evaluate automation and orchestration technologies This course helps you prepare for the CiscoÿCCNPÿData Center and CCIEÿData Center certifications. In this course, you will master the skills and technologies you need to implement data center compute, LAN and SAN infrastructure. You will also learn the essentials of automation and security in data centers. You will gain hands-on experience deploying, securing, operating, and maintaining Cisco data center. Implementing Data Center Switching Protocols* Spanning Tree Protocol Port Channels Overview Implementing First-Hop Redundancy Protocols* Hot Standby Router Protocol (HSRP) Overview Virtual Router Redundancy Protocol (VRRP) Overview Implementing Routing in Data Center* Open Shortest Path First (OSPF) v2 and Open Settlement Protocol (OSP) v3 Border Gateway Protocol Implementing Multicast in Data Center* IP Multicast in Data Center Networks Internet Group Management Protocol (IGMP) and Multicast Listener Discovery (MLD) Implementing Data Center Overlay Protocols Cisco Overlay Transport Virtualization Virtual Extensible LAN Implementing Network Infrastructure Security* User Accounts and Role Based Access Control (RBAC) Authentication, Authorization, and Accounting (AAA) and SSH on Cisco NX-OS Describing Cisco Application-Centric Infrastructure Cisco ACI Overview, Initialization, and Discovery Cisco ACI Management Describing Cisco ACI Building Blocks and VMM Domain Integration Tenant-Based Components Cisco ACI Endpoints and Endpoint Groups (EPG) Describing Packet Flow in Data Center Network* Data Center Traffic Flows Packet Flow in Cisco Nexus Switches Describing Cisco Cloud Service and Deployment Models Cloud Architectures Cloud Deployment Models Describing Data Center Network Infrastructure Management, Maintenance, and Operations* Time Synchronization Network Configuration Management Explaining Cisco Network Assurance Concepts* Need for Network Assurance Cisco Streaming Telemetry Overview Implementing Fibre Channel Fabric Fibre Channel Basics Virtual Storage Area Network (VSAN) Overview Implementing Storage Infrastructure Services Distributed Device Aliases Zoning Implementing FCoE Unified Fabric Fibre Channel over Ethernet Describing FCoE Implementing Storage Infrastructure Security* User Accounts and RBAC Authentication, Authorization, and Accounting Describing Data Center Storage Infrastructure Maintenance and Operations* Time Synchronization Software Installation and Upgrade Describing Cisco UCS Server Form Factors* Cisco UCS B-Series Blade Servers Cisco UCS C-Series Rack Servers Implementing Cisco Unified Computing Network Connectivity Cisco UCS Fabric Interconnect Cisco UCS B-Series Connectivity Implementing Cisco Unified Computing Server Abstraction Identity Abstraction Service Profile Templates Implementing Cisco Unified Computing SAN Connectivity iSCSI Overview Fibre Channel Overview Implementing Unified Computing Security User Accounts and RBAC Options for Authentication Introducing Cisco HyperFlex Systems* Hyper converged and Integrated Systems Overview Cisco HyperFlex Solution Describing Data Center Unified Computing Management, Maintenance, and Operations* Compute Configuration Management Software Updates Implementing Cisco Data Center Automation and Scripting Tools* Cisco NX-OS Additional course details: Nexus Humans Cisco Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.2 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 Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.2 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.