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Duration 5 Days 30 CPD hours This course is intended for This intermediate course is designed for experienced Integration Specialists and Senior-Level Developers with experience in application development, messaging middleware applications, and transport protocols such as HTTP and FTP. Overview Describe the features and uses of the IBM Integration BusDevelop, deploy, and test message flow applicationsGenerate message flow applications from predefined patternsUse IBM Integration Bus problem determination aids to diagnose and solve development and runtime errorsDescribe the function and appropriate use of IBM Integration Bus processing nodesWrite basic Extended Structured Query Language and Java programs to transform dataUse the IBM Graphical Data Mapping editor to transform dataDefine, use, and test simple XML and Data Format Description Language (DFDL) data modelsDescribe supported transport protocols and how to call them in message flows This course teaches you how to use IBM Integration Bus to develop, deploy, and support message flow applications. Students will learn how to construct applications to transport and transform data. Course Outline Course introduction Introduction to IBM Integration Bus Application development fundamentals Exercise: Importing and testing a message flow Creating message flow applications Exercise: Creating a message flow application Connecting to IBM MQ Exercise: Connecting to IBM MQ Controlling the flow of messages Exercise: Adding flow control to a message flow application Modeling the data Exercise: Creating a DFDL model Processing file data Exercise: Processing file data Using problem determination tools and help resources Exercise: Using problem determination tools Exercise: Implementing explicit error handling Mapping messages with the Graphical Data Mapping editor Referencing a database in a message flow application Exercise: Referencing a database in a map Using Compute nodes to transform messages Exercise: Transforming data by using the Compute and JavaCompute nodes Processing JMS, HTTP, and web service messages Preparing for production Exercise: Creating a runtime-aware message flow Course summary Additional course details: Nexus Humans WM666 IBM Integration Bus V10 Application Development I 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 WM666 IBM Integration Bus V10 Application Development I 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 geared toward Windows system administrators, network administrators, and other system administrators who are interested in supplementing current skills or backstopping other team members, in addition to Linux system administrators who are responsible for these tasks: Configuring, installing, upgrading, and maintaining Linux systems using established standards and procedures Providing operational support Managing systems for monitoring system performance and availability Writing and deploying scripts for task automation and system administration Successful completion of Red Hat System Administration I (RH124) is recommended. Experienced Linux administrators seeking to accelerate their path toward becoming a Red Hat Certified System Administrator should start with the RHCSA Rapid Track course (RH199). Overview You should be able to demonstrate these skills: - Install Red Hat Enterprise Linux using Kickstart - Manage file systems and logical volumes - Manage scheduled jobs - Access network file systems - Manage SELinux - Control firewalls - Perform troubleshooting tasks Red Hat System Administration II (RH134) is designed as the second part of the Red Hat© Certified System Administrator (RHCSA©) training track for IT professionals who have taken Red Hat System Administration I (RH124). The course goes deeper into core Linux© system administration skills, including storage configuration, security feature management, task control, and installation and deployment of Red Hat© Enterprise Linux. Prerequisites Successful completion of Red Hat System Administration I (RH124) is recommended. 1 - Automate installation with Kickstart Automate the installation of Red Hat Enterprise Linux systems with Kickstart. 2 - Use regular expressions with grep Write regular expressions that, when partnered with grep, will allow you to quickly isolate or locate content within text files. 3 - Create and Edit text files with vim Introduce the vim text editor, with which you can open, edit, and save text files. 4 - Schedule future Linux tasks Schedule tasks to automatically execute in the future. 5 - Manage priority of Linux processes Influence the relative priorities at which Linux processes run. 6 - Control access to files with access control lists (ACL) Manage file security using POSIX access control lists. 7 - Manage SELinux security Manage the Security Enhanced Linux (SELinux) behavior of a system to keep it secure in case of a network service compromise. 8 - Connect to network-defined users and groups Configure systems to use central identity management services. 9 - Add disks, partitions, and file systems to a Linux system Manage simple partitions and file systems. 10 - Manage logical volume management (LVM) storage Manage logical volumes from the command line. 11 - Access networked attached storage with network file system (NFS) Access (secure) NFS shares. 12 - Access networked storage with SMB Use autofs and the command line to mount and unmount SMB file systems. 13 - Control and troubleshoot the Red Hat Enterprise Linux boot process 14 - Limit network communication with firewall Configure a basic firewall. 15 - Comprehensive review Practice and demonstrate knowledge and skills learned in this course.

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.

Duration 3.5 Days 21 CPD hours This course is intended for This course is for AWS Cloud Architects with expertise in designing and implementing solutions running on AWS who now want to design for Microsoft Azure. Overview After completing this course, students will be able to: 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 who have previously designed for Amazon Web Services how to translate business requirements into secure, scalable, and reliable solutions for Azure. Introduction to Azure Subscriptions and accounts Resource groups and templates in Azure Resource Manager Azure global infrastructure Azure regions Azure Availability Zones Comparison with AWS Implement Azure Active Directory Introduction to Azure Active Directory Domains and custom domains Safety features Guest users in Azure Active Directory Manage multiple directories Comparison with AWS Implement and manage hybrid identities Introduction to Azure AD Connect Comparison with AWS Implement virtual networking Azure Virtual Network and VNet peering VPN and ExpressRoute connections Comparison with AWS Implement VMs for Windows and Linux Configure high availability Comparison with AWS Implement load balancing and network security Implement Azure Load Balancer Implement an Azure Application Gateway Implement Azure Firewall Implement network security groups and application security groups Comparison with AWS Implement container-based applications Configure Azure Kubernetes Service Publish a solution on an Azure Container Instance Comparison with AWS Implement an application infrastructure Create an App Service plan Create and configure Azure App Service Configure networking for an App Service Introduction to Logic Apps and Azure Functions Comparison with AWS Implement storage accounts Azure Storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Comparison with AWS Implement NoSQL databases Introduction to Azure Cosmos DB Consistency Select appropriate CosmosDB APIs Set up replicas in CosmosDB Comparison with AWS DynamoDB Implement Azure SQL databases Configure Azure SQL database settings Implement Azure SQL Database managed instances Configure high availability for an Azure SQL database Comparison with AWS Implement cloud infrastructure monitoring Monitor security Monitor cost Configure a Log Analytics workspace Comparison with AWS Implement and manage Azure governance solutions Assign RBAC roles Configure management access to Azure Implement and configure an Azure Policy Comparison with AWS Manage security for applications Implement Azure Key Vault Implement and configure Azure AD Managed Identities Register and manage applications in Azure AD Comparison with AWS Migration, backup, and disaster recovery management Migrate workloads Implement Azure Backup for VMs Implement disaster recovery Comparison with AWS

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 2 Days 12 CPD hours Overview #NAME? A course that teaches the core Adobe Captivate skills needed to create eLearning courses. 1 - EXPLORING CAPTIVATE Explore a Finished Captivate Project Zoom and Magnify Navigate a Project Explore and Reset the Workspace Preview the Entire Project 2 - NEW PROJECTS & SOFT SKILLS ELEARNING Create a Blank Project Add Images to Placeholders Import Images Use a Smart Shape as a Button Disable Click Sounds 3 - SCREEN RECORDINGS Rehearse a Script Review Recording Settings Review Recording Modes Record Using Multiple Modes Record a Custom Simulation Record a Demonstration that Pans Manually Record the Screen 4 - VIDEO DEMOS Record a Video Demo Add a Video Zoom Add a Video Pan Smooth a Mouse Path and Show Visual Clicks Split a Video Trim a Video Insert a Video Project into a Standard Project Publish a Video Demo 5 - CAPTIONS, STYLES, TIMING, AND ROUND TRIPPING Insert and Edit Text Captions Edit the Default Caption Style Change a Callout Type Used by a Text Caption Control Slide Timing Control Slide Object Timing Check Spelling Align Slide Objects Export Captions to Word Import Captions from Word into Captivate 6 - POINTERS, PATHS, PATHS, BOXES, AND BUTTONS Control Mouse Effects Edit a Mouse Path Clone an Object Style Insert a Highlight Box Insert an Image Button Control Appear After Timing 7 - IMAGES AND VIDEOS Insert, Resize, and Restore an Image Import Images into the Library Resize, Transform, and Align Images Manage Unused Library Assets Create an Image Slideshow Insert a Video Set Video Properties 8 - AUDIO Work with Rollover Captions Import Audio onto a Slide Object Import Background Audio Add a Slide Note Calibrate a Microphone Record Slide Audio Import Audio onto a Slide Edit an Audio File Insert Silence Convert Text-to-Speech 9 - STATES, ANIMATIONS, AND OBJECT EFFECTS Change State Views for a Button Add an Animation to a slide Insert a Text Animation Apply an Effect to a Slide Object Apply a Free Fall Effect to an Object 10 - SOFTWARE SIMULATIONS Hide the Mouse Replace Phrases Insert a Click Box Insert a Text Entry Box 11 - WORKING WITH POWERPOINT Create a Project from a Presentation Edit the Source Presentation Synchronize with Source Rescale a Project 12 - QUIZZING Edit Quizzing Object Styles Set the Quiz Preferences Question Slides Insert Question Slides Edit a Question Slide Compare Submit All to Submit Buttons Insert a Knowledge Check Review a GIFT File Import a GIFT File into a Project Create Question Pools Move Questions to Pools Insert Random Question Slides 13 - PUBLISHING Apply a Skin Edit, Save, and Delete a Skin Name Slides Check Publish Settings and Add a Loading Screen Publish as SWF and PDF Run the HTML5 Tracker Publish as HTML5

Duration 5 Days 30 CPD hours This course is intended for Ideal candidates include network professionals who are looking to build their foundational knowledge of the ClearPass product portfolio. Overview After you successfully complete this course, expect to be able to: Ability to setup ClearPass as a AAA server Demonstrate Configuration Guest, OnGurad, Onboard and Profiling features Integrate with External AD Server Understand Monitoring and Reporting Demonstrate Scaling and deployment of best practices Configure AAA services for both wired and wireless networks Demonstrate the configuration of Aruba Downloadable User Roles. Demonstrate the configuration of Dynamic Segmentation with Aruba switches. This course prepares participants with foundational skills in Network Access Control using the ClearPass product portfolio. This 5-day classroom session includes both instructional modules and labs to teach participants about the major features of the ClearPass portfolio. Participants will learn how to setup ClearPass as an AAA server, and configure the Policy Manager, Guest, OnGuard and Onboard feature sets. In addition, this course covers integration with external Active Directory servers, Monitoring and Reporting, as well as deployment best practices. The student will gain insight into configuring authentication with ClearPass on both wired and wireless networks. Intro to ClearPass BYOD High Level Overview Posture and Profiling Guest and Onboard ClearPass for AAA Policy Service Rules Authentication Authorization and Roles Enforcement Policy and Profiles Authentication and Security Concepts Authentication Types Servers Radius COA Active Directory Certificates Intro to NAD NAD Devices Adding NAD to ClearPass Network Device Groups Network Device Attributes Aruba Controller as NAD Aruba Switch Aruba Instant Monitoring and Troubleshooting Monitoring Troubleshooting Logging Policy Simulation ClearPass Insight Insight Dashboard Insight Reports Insight Alerts Insight Search Insight Administration Insight Replication Active Directory Adding AD as Auth Source Joining AD domain Using AD services External Authentication Multiple AD domains LDAP Static Host Lists SQL Database External Radius Server Guest Guest Account creation Web Login pages Guest Service configuration Self-registration pages Configuring NADS for Guest Guest Manager Deep Dive Web Login Deep Dive Sponsor Approval MAC Caching Onboard Intro to Onboard Basic Onboard Setup Onboard Deepdive Single SSID Onboarding Dual SSID Onboarding Profiling Intro to Profiling Endpoint Analysis Deep Dive Posture Intro to Posture Posture Deployment Options OnGuard Agent Health Collection OnGuard workflow 802.1x with Posture using Persistent/dissolvable agent OnGuard web Login Monitoring and Updates Operation and Admin Users Operations Admin Users Clustering and Redundancy Clustering Redundancy LAB Licensing ClearPass Licensing Base License Applications ClearPass Exchange Intro Examples General HTTP Palo Alto Firewall Configuration Case Study Objectives Discussion Advanced Labs Overview Wired Port Authentication 802.1X for access layer switch ports Profiling on Wired Network Configuration of Dynamic Segmentation Aruba Downloadable User Roles Downloadable User Role Enforcement in ClearPass Aruba Controller/Gateway configuration Aruba Switch configuration Troubleshooting

Duration 5 Days 30 CPD hours This course is intended for Students preparing to take the CCNP Collaboration certification Network administrators Network engineers Systems engineers Overview After taking this course, you should be able to: - Define collaboration and describe the main purpose of key devices in a Cisco collaboration on-premise, hybrid, and cloud deployment model - Configure and modify required parameters in Cisco Unified Communications Manager (CM) including service activation, enterprise parameters, CM groups, time settings, and device pool - Deploy and troubleshoot IP phones via auto registration and manual configuration within Cisco Unified CM - Describe the call setup and teardown process for a SIP device including codec negotiation using Session Description Protocol (SDP) and media channel setup - Manage Cisco Unified CM user accounts (local and via Lightweight Directory Access Protocol [LDAP]) including the role/group, service profile, UC service, and credential policy - Configure dial plan elements within a single site Cisco Unified CM deployment including Route Groups, Local Route Group, Route Lists, Route Patterns, Translation Patterns, Transforms, SIP Trunks, and SIP Route Patterns - Configure Class of Control on Cisco Unified CM to control which devices and lines have access to services - Configure Cisco Unified CM for Cisco Jabber and implement common endpoint features including call park, softkeys, shared lines, and pickup groups - Deploy a simple SIP dial plan on a Cisco Integrated Service Routers (ISR) gateway to enable access to the PSTN network - Manage Cisco UCM access to media resources available within Cisco UCM and Cisco ISR gateways - Describe tools for reporting and maintenance including Unified Reports, Cisco Real-Time Monitoring Tool (RTMT), Disaster Recovery System (DRS), and Call Detail Records (CDRs) within Cisco Unified CM - Describe additional considerations for deploying video endpoints in Cisco Unified CM - Describe the integration of Cisco Unity with Cisco Unified CM and the default call handler The Understanding Cisco Collaboration Foundations (CLFNDU) v1.1 course gives you the skills and knowledge needed to administer and support a simple, single-site Cisco© Unified Communications Manager (CM) solution with Session Initiation Protocol (SIP) gateway. The course covers initial parameters, management of devices including phones and video endpoints, management of users, and management of media resources, as well as Cisco Unified Communications solutions maintenance and troubleshooting tools. In addition, you will learn the basics of SIP dial plans including connectivity to Public Switched Telephone Network (PSTN) services, and how to use class-of-service capabilities. Course Outline Exploring The Path To Collaboration Introducing Cisco Unified Communications Manager And Initial Parameters Xploring Endpoints And The Registration Process Exploring Codecs And Call Signaling Managing Users In Cisco Unified Communication Manager Describing A Basic Dial Plan Describing Class Of Service Enabling Endpoints And Features Describing The Cisco Isr As A Voice Gateway Exploring Cisco Unified Communication Manager Media Resources Reporting And Maintenance Exploring Additional Requirements For Video Endpoints Describing Cisco Unity Connection

Duration 2 Days 12 CPD hours This course is intended for The target audience for the DevOps Engineering Foundation course are individuals involved in engineering and technical practices such as: DevOps Practice owners and process designers Developers, QA engineers and Managers who are interested in understanding how DevOps works. Employees and managers responsible for engineering or improving processes. Consultants guiding their clients through process improvement and DevOps initiatives. Anyone responsible for: Managing process-related requirements Ensuring the efficiency and effectiveness of processes Maximizing the value of processes Overview The learning objectives for DevOps Engineering Foundation include an understanding of: How to engineer DevOps solutions DevOps Technologies Applications Architectures Continuous Integration Continuous Testing Ephemeral Elastic Infrastructures Continuous Delivery and Deployment Metrics, Monitoring, Observability and Governance DevOps Humans Future Trends This course explains the many aspects of DevOps engineering that leaders and practitioners can execute upon. While DevOps Foundation provides an overview of DevOps, this course will provide a closer look at the implementation process from an engineering perspective. It is an in depth view of the major aspects of engineering DevOps. An engineering approach is critical to DevOps journeys. This course provides the foundations of knowledge, principles and practices from a technical perspective needed to engineer a successful DevOps solution. DevOps Engineering Introduction DevOps Foundations Principles and Practices Related Frameworks Performance and Benefits DevOps Technology Source and Artifacts Control CI/CD pipelines Tools and Toolchains Application Release Automation Value Stream Management Applications Architectures and Continuous Integration Application Architectures Containers Continuous integration Continuous Testing CT Tenets Test creation & TDD Test acceleration Test results Test management Test environment management Ephemeral Elastic Infrastructures Virtual and Cloud Configuration management Infra-as-code Containers Orchestration GitOps Continuous Delivery and Deployment Continuous Delivery and Deployment Release Automation Deployment Strategies Metrics, Monitoring, Observability, Governance DevOps Metrics Monitoring Observability Governance DevOps Engineering Humans Culture Team Topologies Continuous Learning Future DevOps Trends Additional course details: Nexus Humans DevOps Engineering Foundation (DevOps Institute) 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 DevOps Engineering Foundation (DevOps Institute) 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 designed for technical professionals who will deploy or have deployed the Ultra M virtual packet core solution in their network, including: Systems engineers Technical support personnel Channel partners and resellers Overview After taking this course, you should be able to: Describe the Ultra M hardware and software Describe the features covered in the OpenStack component overview and deployment architecture Describe the Ultra M deployment architecture and operation Describe the Virtualized Packet Core-Distributed Instance (VPC-DI) architecture and packet flow Deploy and operate Ultra M This course teaches you about the hardware components of the Cisco© Ultra M virtual packet core solution, including Cisco Nexus© spine and leaf switches and Cisco Unified Computing System. The course also covers the operation and administration of the Red Hat Enterprise Linux operating system in relation to the Ultra M Undercloud and Overcloud deployments. Cisco Ultra M Hardware and Topology Overview Cisco Ultra M Hardware Components Cisco Ultra M UCS Components Cisco Ultra M UCS Interfaces Cisco Ultra M Networking Components Cisco Ultra M Physical Network Topology OpenStack Deployment Architecture and Components OpenStack Overview Nova ? OpenStack Compute Service Glance ? OpenStack Image Service Neutron ? OpenStack Network Service Keystone ? OpenStack Identity Service Cinder ? OpenStack Block Storage Service OpenStack Horizon Dashboard Ultra M Services Platform Ultra Services Platform Architecture Ultra M VNF Architecture Ultra Automation Services (UAS) Elastic Services Controller OpenStack and Ultra Automation Services VPC-DI Overview and Operation Virtual Packet Core Evolution Ultra M Layer 3 Network Topology VPC-DI Network Topology VPC-DI Packet Flows Ultra M Installation and Deployment Reviewing the Ultra M System Components Planning the Network for Installation and Deployment Deploying Hyperconverged Ultra M Models Using UAS Deploying VNFs Using AutoVNF Ultra Automation Services Additional course details: Nexus Humans Cisco Ultra M Deployment and Operations v1.0 (SPMBL301) 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 Ultra M Deployment and Operations v1.0 (SPMBL301) 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.