1676 Computing & IT courses delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for This is an intermediate course for experienced DBAs and technical individuals, with experience on other relational database platforms, who plan, implement, and maintain Db2 11.1 for Linux, UNIX, and Windows databases. These skills can also be utilize to support cloud based databases using Db2 on Cloud or Db2 Hosted environments. Overview Please refer to course overview This course teaches you to perform, basic and advanced, database administrative tasks using Db2 11.1. These tasks include creating and populating databases and implementing a logical design to support recovery requirements. The access strategies selected by the Db2 Optimizer will be examined using the Db2 Explain tools. Various diagnostic methods will be presented, including using various db2pd command options. Students will learn how to implement automatic archival for database logs and how to plan a redirected database restore to relocate either selected table spaces or an entire database. The REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces, will be discussed. We will also cover using the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases. The selection of indexes to improve application performance and the use of SQL statements to track database performance and health will be covered. This course provides a quick start to Db2 database administration skills for experienced relational Database Administrators (DBA). Overview of Db2 11Command Line Processor (CLP) and GUI UsageThe Db2 EnvironmentCreating Databases and Data PlacementCreating Database ObjectsMoving DataBackup and RecoveryLocks and ConcurrencyDatabase Maintenance, Monitoring and Problem DeterminationSecurityDatabase Rebuild SupportDb2 Database and Table Space RelocationUsing Explain ToolsUsing Indexes for PerformanceAdvanced Monitoring

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants:Cloud professionals interested in taking the Data Engineer certification exam.Data engineering professionals interested in taking the Data Engineer certification exam. Overview This course teaches participants the following skills: Position the Professional Data Engineer Certification Provide information, tips, and advice on taking the exam Review the sample case studies Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate Connect candidates to appropriate target learning This course will help prospective candidates plan their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, to help them devise a preparation strategy. Rehearse useful skills including exam question reasoning and case comprehension. Tips and review of topics from the Data Engineering curriculum. Understanding the Professional Data Engineer Certification Position the Professional Data Engineer certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Data Engineer and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies for the Professional Data Engineer Exam Flowlogistic MJTelco Designing and Building (Review and preparation tips) Designing data processing systems Designing flexible data representations Designing data pipelines Designing data processing infrastructure Build and maintain data structures and databases Building and maintaining flexible data representations Building and maintaining pipelines Building and maintaining processing infrastructure Analyzing and Modeling (Review and preparation tips) Analyze data and enable machine learning Analyzing data Machine learning Machine learning model deployment Model business processes for analysis and optimization Mapping business requirements to data representations Optimizing data representations, data infrastructure performance and cost Reliability, Policy, and Security (Review and preparation tips) Design for reliability Performing quality control Assessing, troubleshooting, and improving data representation and data processing infrastructure Recovering data Visualize data and advocate policy Building (or selecting) data visualization and reporting tools Advocating policies and publishing data and reports Design for security and compliance Designing secure data infrastructure and processes Designing for legal compliance Resources and next steps Resources for learning more about designing data processing systems, data structures, and databases Resources for learning more about data analysis, machine learning, business process analysis, and optimization Resources for learning more about data visualization and policy Resources for learning more about reliability design Resources for learning more about business process analysis and optimization Resources for learning more about reliability, policies, security, and compliance Additional course details: Nexus Humans Preparing for the Professional Data Engineer Examination 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 Preparing for the Professional Data Engineer Examination 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 Telco cloud system administrators and telco network operations engineers Professionals who work with telco or enterprise and data center networks Designers and operations engineers who manage telco workloads Overview By the end of the course, you should be able to meet the following objectives: List VMware Telco Cloud Automation deployment options and procedures Describe the VMware Telco Cloud Automation infrastructure settings Configure Containers as a Service (CaaS) functionality Describe partner integration options and procedures Define zero-touch provisioning and describe infrastructure deployment Instantiate network services and network functions Describe the authorization model of VMware Telco Cloud Automation Define platform life cycle management (LCM) for VMware Telco Cloud Automation Enumerate troubleshooting concepts and day-two operations for VMware Telco Cloud Automation Describe the use of APIs within VMware Telco Cloud Automation List examples of how VMware Telco Cloud Automation can be used in a CICD environment This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud AutomationTM environment. In this course, you are introduced to VMware Telco Cloud Automation infrastructure settings, deployment options, and procedures. You explore Containers as a Service and understand the workflow details of Partner Integration processes. You are introduced to zero-touch provisioning and its importance in VMware Telco Cloud Automation. You onboard and instantiate network functions and network services using hands-on lab exercises. Course Introduction Introductions and course logistics Course objectives VMware Telco Cloud Automation Installation Describe day-zero operations for VMware Telco Cloud Automation Describe the VMware Telco Cloud Automation architecture List the steps to perform VMware Telco Cloud Automation deployment List the steps to perform VMware Telco Cloud Automation control plane integration Describe VMware Telco Cloud Automation control plane scaling Describe the requirements on other applications such as VMware vRealize© Orchestrator? and Harbor Describe where, when, and how to use VMware Telco Cloud Automation tagging Day One Operations: Infrastructure Settings Describe the VMware Telco Cloud Automation infrastructure options Describe VMware Telco Cloud Automation infrastructure requirements Outline the role of virtual infrastructure and TCA Identify the benefits of public versus private infrastructure List the steps to integrate a VM-based virtual infrastructure List the steps to integrate a container-based virtual infrastructure Describe private infrastructure requirements Day One Operations: Containers as a Service Define Containers as a Service (CaaS) List the challenges of CNF deployment without automation Describe the Kubernetes and VMware Tanzu? Kubernetes Grid? architectures Describe supporting technologies like Cluster API List steps to create a Kubernetes cluster template Describe the process for deploying node pools and groups Describe cluster monitoring List CaaS scale options Day One Operations: Partner Integration Describe partner integration and the types of partners Describe Harbor and the various Harbor platforms List the steps to interface with a Harbor platform Compare and contrast specialized VNF managers (S-VNFMs) and generic VNF managers (G-VNFMs) Explain how to add an S-VNFM Define S-VNFM use cases Day One Operations: Zero Touch Provisioning and Infrastructure Deployment Describe zero-touch provisioning List the use cases of zero-touch provisioning List the benefits of zero-touch provisioning Describe the infrastructure requirements of zero-touch provisioning Describe the zero-touch provisioning domains List the steps to deploy an infrastructure using zero-touch provisioning Day One Operations: Network Functions ad Network Services Describe the roles of network services and network functions List the types of descriptors Describe the role of TOSCA Describe the role of onboarding List the steps to onboard network functions and network services Examine the results of the onboarding process List the steps to instantiate network functions and network services Examine the results of the instantiation process Day Two Operations: Authorization Model Explain the resources that can be accessed in vSphere Define the role of a VMware vCenter Server© system in credential management Describe the procedures to create, delete, and modify rules using vCenter Server Explain how to control and verify access to vSphere resources List roles in VMware Telco Cloud Automation Explain the tasks and list the levels of permissions needed in VMware Telco Cloud Automation List all the permissions and filters that can be implemented in VMware Telco Cloud Automation Summarize the role-based access control model of VMware Telco Cloud Automation Day Two Operations: Platform Life Cycle Management Explain the life cycle stages in VMware Telco Cloud Automation control plane Explain the life cycle stages in VMware Telco Cloud Automation Define an upgrade schedule Apply an upgrade schedule to manage life cycle management of the VMware Telco Cloud Automation control plane Apply an upgrade schedule to manage life cycle management of VMware Telco Cloud Automation Describe network function and network service life cycle management events Execute network function and network service healing Set up Network Function and Network Service monitoring Perform Network Function and Network Service termination Day Two Operations: Troubleshooting List the components of the VMware Telco Cloud Automation dashboard Explain the features of fault management in VMware Telco Cloud Automation Explain the features of performance management in VMware Telco Cloud Automation Describe the use of fault management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of performance management of VMware Telco Cloud Automation for VNFs and CNFs Troubleshoot using tcf_manager, app.log, and web.log Define the procedures to integrate VMware vRealize© Operations Manager? with VMware Telco Cloud Automation Usage of VMware vRealize© Operations? Day Two Operations: API Management Define the VMware Telco Cloud Automation API Explain the API architecture Describe VMware Telco Cloud Automation API use cases Explain how to configure an external REST API Describe how to request security tokens for implementation Explain how to implement commands through external systems using APIs Day Two Operations: Continuous Integration and Continuous Delivery Describe continuous integration and continuous delivery (CICD) List the benefits and challenges of CICD Describe how VMware Telco Cloud Automation can be used in a CICD environment Explore VMware Telco Cloud Automation CICD examples

Duration 5 Days 30 CPD hours This course is intended for Sr. Systems Administrator Cloud Engineer Systems Engineer Sr. Network Administrator Sr. Network Engineer Cloud Specialist Cloud Project Manager Overview After completion of this course you will be able to describe: Cloud architecture and design Security within the cloud Automation and virtualization Troubleshooting and Disaster recovery High availability  This course covers in depth the skills and abilities needed to operate in the cloud, validating that candidates have the technical experience needed to deploy, secure, and automate environments regardless of the vendor solution. Understanding Cloud Concepts Topic 1A: Recognize Cloud Concepts Topic 1B: Recognize Cloud Terms Topic 1C: Understand the Troubleshooting Methodology Planning and Designing a Cloud Environment Topic 2A: Meet Cloud Business Requirements Topic 2B: Design Capacity Planning and Requirements Administering Cloud Resources Topic 3A: Manage Cloud Administration Topic 3B: Manage Compute Resources in the Cloud Topic 3C: Manage Memory Resources Managing Cloud Storage Topic 4A: Understand Cloud Storage Types Topic 4B: Configure Cloud Storage Solutions Topic 4C: Configure Cloud Storage Protocols and RAID Managing Networks in the Cloud Topic 5A: Deploying Cloud Network Services Topic 5B: Identify Cloud Network Infrastructure Components Securing and Troubleshooting Networks in the Cloud Topic 6A: Secure a Network in a Cloud Environment Topic 6B: Troubleshooting Cloud Connectivity Managing Cloud Migrations and Troubleshooting Cloud Deployments Topic 7A: Manage Cloud Migrations Topic 7B: Troubleshoot Cloud Deployment and Migration Issues Managing Cloud Automation and Orchestration Topic 8A: Understand Cloud Automation and Orchestration Techniques Topic 8B: Troubleshoot Automation and Orchestration in the Cloud Understanding Cloud Security Concepts Topic 9A: Administer Identity and Access Management in the Cloud Topic 9B: Manage Cloud Operating System and Application Security Topic 9C: Manage Data Security and Compliance in the Cloud Managing Cloud Security Topic 10A: Implement Security Measures in the Cloud Domain Topic 10B: Troubleshoot Cloud Security Managing Cloud Performance Topic 11A: Operate Efficiently in the Cloud Topic 11B: Accomplish Cloud Operations Tasks Topic 11C: Optimize Cloud Resources Topic 11D: Troubleshoot Common Cloud Performance Problems Managing Maintenance in the Cloud Topic 12A: Configure Logs, Monitoring, and Alerting for Cloud Services Topic 12B: Manage Backup and Restore in the Cloud Implementing High Availability and Disaster Recovery in the Cloud Topic 13A: Understand High Availability and Scaling in the Cloud Topic 13B: Manage Disaster Recovery in the Cloud Topic 13C: Incident Response Additional course details: Nexus Humans Cloud Fundamentals 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 Cloud Fundamentals 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 Professionals who need to maintain or set up a Kubernetes cluster Container Orchestration Engineers DevOps Professionals Overview Cluster architecture, installation, and configuration Rolling out and rolling back applications in production Scaling clusters and applications to best use How to create robust, self-healing deployments Networking configuration on cluster nodes, services, and CoreDNS Persistent and intelligent storage for applications Troubleshooting cluster, application, and user errors Vendor-agnostic cloud provider-based Kubernetes Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on, vendor agnostic training you will go back to work with the knowledge, skills, and abilities to design, implement, and maintain a production-grade Kubernetes cluster. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Administrator (CKA) exam. You will be provided the components necessary to assemble your own high availability Kubernetes environment and configure, expand, and control it to meet the demands made of cluster administrators. Your week of intensive, hands-on training will conclude with a mock CKA exam that simulates the real exam. Cluster Architecture, Installation & Configuration Each student will be given an environment that allows them to build a Kubernetes cluster from scratch. After a detailed discussion on key architectural components and primitives, students will install and compare two production grade Kubernetes clusters. Review: Kubernetes Fundamentals After successfully instantiating their own Kubernetes Cluster, students will be guided through foundational concepts of deploying and managing applications in a production environment. Workloads & Scheduling After establishing a solid Kubernetes command line foundation, students will be led through discussion and hands-on labs which focus on effectively creating applications that are easy to configure, simple to manage, quick to scale, and able to heal themselves. Services & Networking Thoroughly understanding the underlying physical and network infrastructure of a Kubernetes cluster is an essential skill for a Certified Kubernetes Administrator. After an in-depth discussion of the Kubernetes Networking Model, students explore the networking of their cluster?s Control Plane, Workers, Pods, and Services. Storage Certified Kubernetes Administrators are often in charge of designing and implementing the storage architecture for their clusters. After discussing many common cluster storage solutions and how to best use each, students practice incorporating stateful storage into their applications. Troubleshooting A Certified Kubernetes Administrator is expected to be an effective troubleshooter for their cluster. The lecture covers a variety of ways to evaluate and optimize available log information for efficient troubleshooting, and the labs have students practice diagnosing and resolving several typical issues within their Kubernetes Cluster. Certified Kubernetes Administrator Practice Exam Just like the Cloud Native Computing Foundation CKA Exam, the students will be given two hours to complete hands-on tasks in their own Kubernetes environment. Unlike the certification exam, students taking the Alta3 CKA Practice Exam will have scoring and documented answers available immediately after the exam is complete, and will have built-in class time to re-examine topics that they wish to discuss in greater depth.

Duration 5 Days 30 CPD hours This course is intended for Cloud Solutions Architects  DevOps Engineers  Individuals using Google Cloud Platform who deploy applications, monitor operations, and manage enterprise solutions Overview At course completion, you will have attained knowledge of: Fundamentals of Google Cloud Platform (GCP) Google Cloud Storage Google Compute Engine Google Cloud SQL Load Balancing (LB) Google Cloud Monitoring Auto-Scaling Virtual Private Cloud (VPC) Network Cloud Identity and Access Management (IAM) Cloud CDN and DNS Cloud VPN Google Cloud Deployment Manager Google Container Engine Cloud Run Cloud Bigtable Cloud Datastore Cloud BigQuery Cloud DataFlow Cloud DataProc Cloud Pub/Sub In this course you will attain a deep knowledge of Google Cloud Platform infrastructure and design patterns on developing applications on GCP. This course will prepare you for the Google Cloud Architect Associate Certification Exam. Fundamentals of Google Cloud Platform (GCP) Overview Regions and Zones Review of major GCP services Google Cloud Storage Fundamental APIs Consistency Cloud Storage Namespace Buckets and Objects Bucket and Object Naming Guidelines Encryption Object Versioning Object Lifecycle Management Access Control Access Control Lists Signed URL Multipart upload Resumable upload Understanding Pricing for Cloud Storage Offline Media Import/Export Architecture case study of common Use Cases of Google Cloud Storage Hands-on: Cloud Storage Lab; Creating Buckets, objects, and managing access control Google Compute Engine Compute Engine Architecture VM Instances types Persistence Disks Images Generating Custom Images IP Addresses Static IPs Ephemeral Access Control Options IAM Service Account Monitoring Instances with Google Cloud Monitoring Compute Engine Networks and Firewalls Hands-on: Hosting an Application on Compute Engine Google Cloud SQL Core advantages of Cloud SQL Cloud SQL database instance types Access Control High availability options Failover Read replica Backup options On Demand Automated Understanding Pricing of Cloud SQL Load Balancing (LB) Fundamentals of a Load Balancer Network Load balancing HTTPS Load balancing Cross region Load balancing Content Load balancing Target proxies SSL Load Balancing Internal Load Balancing Network Load Balancing Understanding Pricing for Load Balancer Google Cloud Monitoring Architecture of Cloud Monitoring Supported metrics Stackdriver Monitoring APIs Auto-Scaling Overview of Autoscaling Auto-scaling Fundamentals Instance groups Templates Policies Decisions Hands-on: Deploying a scale application on GCP using Autoscaling, Compute Engine, Cloud SQL, Load Balancers. Virtual Private Cloud (VPC) Network Salient features of Virtual Private Cloud (VPC) Network Infrastructure Virtual Private Cloud (VPC) Networking Fundamentals Subnetworks Firewall Internal DNS Network Routes Hands-on: Hosting Secure Applications in Google Cloud VPC Networks Cloud Identity and Access Management (IAM) Introduction User and Service Accounts IAM Roles Policy Hands-on: Managing Users, Policies and Granting Roles using Service Accounts Cloud CDN and DNS What is CDN Google Cloud CDN Cloud CDN Concepts Some of the Cloud CDN Edge locations Cloud DNS Cloud DNS Terminologies Supported Record Types Hands-on: Moving an Existing Domain Name to Cloud DNS Cloud VPN Cloud VPN overview Types of Cloud VPN Specifications Maintenance and Availability Google Cloud Deployment Manager Deployment Manager Deployment Manager Fundamentals Runtime Configurator Quotas Hands-on: Generating and Creating Cloud Deployment Manager Template Google Container Engine Google Container Engine Overview Docker Overview Kubernetes Terminologies Replication Controller Deployment Price and Quotas Hands-on: Deploying WordPress Cluster using Container Engine Cloud Run Overview of Cloud Run Deploy a Prebuilt Sample container Cloud Bigtable Overview of Cloud Bigtable Access Control Performance Locations Cloud Datastore Overview of Cloud Datastore Limits Storage Size Multitenancy Benefits of Multitenancy Encryption Locations Cloud BigQuery BigQuery Overview Interacting with BigQuery Datasets, Tables, and Views Partitioned Tables Query Plan Explanation Hands-on: Getting Started with BigQuery Cloud DataFlow Overview Programming Model DataFlow SDK 1.x for java Cloud Dataflow SDK 2.x Security and Permissions Advanced Access Control Cloud DataProc Overview Clusters Versioning Cloud Pub/Sub Overview of Cloud Pub/Sub Pub/Sub Concepts and Message Flow Data Model Cleanup of All Services Hands-on: Cloud Pub/Sub Lab with Background Cloud Function Additional course details: Nexus Humans Google Cloud Engineer Associate Certification Bootcamp 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 Google Cloud Engineer Associate Certification Bootcamp 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 Experienced system administrators and system integrators responsible for designing and implementing vRealize Automation Overview By the end of the course, you should be able to meet the following objectives: Describe the vRealize Automation architecture and use cases in cloud environments Manage vRealize Automation entities on VMware and third-party virtual and cloud infrastructures Configure and manage Cloud Accounts, Projects, Flavor Mappings, Image Mappings, Network Profiles, Storage Profiles, Volumes, Tags, and Services Create, modify, manage, and deploy Cloud Templates Connect to a Kubernetes Cluster and manage namespaces Customize services and virtual machines with cloudConfig Configure and manage the Service Broker Configure and manage ABX actions, custom properties, event broker subscriptions, and vRealize Orchestrator workflows Integrate with vRealize Orchestrator Install vRealize Automation with Lifecycle Configuration Manager Describe Cloud Automation Services (Cloud Assembly and Code Stream). Integrate Cloud Assembly with Terraform and SaltStack Use logs and CLI commands to monitor and troubleshoot vRealize Automation During this five-day course, you focus on installing, configuring, and managing VMware vRealize© Automation?. You learn about how vRealize Automation can be used to automate the delivery of virtual machines, applications, and personalized IT services across different data centers and hybrid cloud environments. The course covers how to manage both on-premise systems and cloud services. The course covers how vRealize Automation Service Broker can aggregate content in native formats from multiple clouds and platforms into a common catalog. This course also covers interfacing vRealize Automation with other systems using VMware vRealize© Orchestrator? and how to use vRealize Automation to manage Kubernetes systems and leverage other systems. The course also covers integrating with Terraform and using SaltStack as a configuration management tool. Course Introduction Introductions and course logistics Course objectives vRealize Automation Overview and Architecture Describe the purpose and functionality of vRealize Automation Describe the vRealize Automation architecture Describe the use of VMware Workspace ONE© AccessTM Describe the relationship between Kubernetes clusters, containers, and vRealize Automation services Describe CLI commands for vRealize Automation 8 cluster management Describe Cloud Assembly Describe Service Broker Describe Code Stream Installing vRealize Automation List the different vRealize Automation deployment types Describe the purpose of vRealize easy installer Describe the vRealize Automation installation process Authentication and Authorization Identity the steps involved in integrating Workspace One with Active Directory Describe features of Workspace One Describe the user roles available in vRealize Automation Identify the key tasks performed by each user role Define custom roles Configure branding and multitenancy Basic Initial Configuration Quickly create a basic configuration with a cloud account, cloud zone, project, flavor mapping, and image mapping. VMware Cloud Templates Configure and deploy a basic cloud template Create cloud templates that can run on any cloud Use cloudConfig to run commands, install software, and create users Use YAML for inputs, variables, and conditional deployments Tags and Storage Configuration Configure tags Describe different types of tags Manage tags Configure storage profiles Use tags and storage profiles Integrating NSX-T Data Center List the capabilities and use cases of NSX-T Data Center Describe the NSX-T Data Center architecture and components Integrate NSX-T Data Center with vRealize Automation List the supported network profiles in vRealize Automation Use NSX-T Data Center components to design a multitier application Cloud Template Identify the network and security options available in design canvas Create and manage on-demand networks and security groups Configure NSX-T day 2 actions Integrating with Public Clouds Configure and use VMware Cloud Foundation accounts Configure and use an AWS cloud account Configure and use an Azure cloud account Configure and use a Google Cloud Platform cloud account Using Service Broker for Catalog Management Release a VMware Cloud Template? Define content source and content sharing Define Service Broker policy enforcement Use custom forms for catalog items vRealize Automation Extensibility Describe Extensibility Use event topics Create a subscription Call a vRealize Orchestrator workflow Create ABX actions Using Code Stream Introduction to Code Stream The CI/CD process Integrate GitLab with Code Stream and Cloud Assembly Use Code Stream to install software Using Terraform Integrate Cloud Assembly with Terraform Use Terraform with a VMware Cloud Template Use Terraform with Code Stream Using Kubernetes Clusters Introduction to Kubernetes Connect to an existing Kubernetes Cluster Integrate VMware Tanzu? Grid Integrated Edition Create a Supervisor Namespace as a catalog item Using SaltStack for Configuration Management Introduction SaltStack with vRealize Automation Use SaltStack for software deployment Use SaltStack for configuration management Use SaltStack with event-driven orchestration vRealize Automation Troubleshooting and Integration Location of logs Using Activity Monitoring deployment history Basic troubleshooting CLI commands Collecting logs (VAMI console) Integration with VMware vRealize© Log Insight? Integration with vRealize Operations Migrating vRealize Automation 7.x to 8

Duration 5 Days 30 CPD hours This course is intended for Customers, cloud architects, systems engineers, data center administrators, and cloud administrators with experience in managed services or managing a service provider environment Overview By the end of the course, you should be able to meet the following objectives: Describe the advanced architecture of a VMware Cloud Director environment Design Cloud Director Federation Explain use cases for CPOM Explain basic concepts of NSX-V and NSX-T design with VMware Cloud Director Discuss the integration of AVI Load Balancer Services Explain use of migration tools from NSX-V to NSX-T Data Center Explain the integration of Advanced Load Balancer with NSX Discuss the use cases for NSX Advanced Load Balancer Describe the architecture of VMware vCloud Availability for vCloud Director Discuss the use cases for migration with vCloud Availability Describe the architecture of vRealize Operations in a Service Provider Environment Explain the use cases for vRealize Operations Tenant App Explain VMware Cloud Director orchestration and extensibility Explain use cases for XaaS Integration Discuss UI customization for Service Provider and Tenants This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to design and utilize a cloud solution based on VMware Cloud Director?. Besides learning about an advanced cloud architecture, you learn about the integration of VMware Cloud Director with the products VMware Cloud Director Availability?, VMware vRealize© Orchestrator?, VMware vRealize© Operations? (including the Tenant App), VMware NSX-T© Data Center and VMware NSX© Advanced Load Balancer? (Avi Networks). This course covers the migration from VMware NSX© for vSphere© (NSX-V) to VMware NSX-T© Data Center in a VMware Cloud Director environment. You learn about how the NSX Advanced Load Balancer can be used and integrated in a service provider environment. Besides the advanced know-how of the vRealize Operations Tenant App and Cloud Availability, the course also discusses the extensibility and orchestration of workflows in Cloud Director. For all the topics covered in the class, intensive hands-on labs will be taken by the students to provide proper insights into all the products. Course Introduction Introductions and course logistics Course objectives Advanced VMware Cloud Director Architecture Explain the basic concepts and terminologies in a VMware Cloud Director environment Describe the basic architecture of a VMware Cloud Director environment Follow a proven process to design and deploy a cloud solution Gather and analyze business and application requirements Document design requirements, constraints, assumptions, and risks Use a systematic method to evaluate and document design decisions Explain the differences between conceptual, logical, and physical designs Describe the concepts of Provider SLAs Discuss the advantages of standardized and flexible cloud platforms Explain how you can use a building-block design approach with VMware products to architect a flexible but standardized cloud environment Impact on Monetization of service definitions Discuss the design and implications of a vSphere Design for the Cloud Platform Explain the use of Single vs. Stretched vs. Multi-Site deployments Design Cloud Director Federation Explain use cases for CPOM NSX for vSphere vs. NSX-T and Migration Describe the NSX Management cluster architecture, components, and communication channels Identify the workflows involved in configuring the NSX Management cluster Validate and troubleshoot the NSX Management cluster formation Explain basic concepts of NSX-V and NSX-T design with VMware Cloud Director Discuss the use cases for Edge Services Discuss the use cases for Distributed Network Services Discuss the features available in NSX-V vs. NSX-T Explain the integration of external networks (such as MPLS, DirectConnect) Explain the integration of 3rd party network services (NON-VMware Edge Services, WAF) Discuss the integration of AVI Load Balancer Services Discuss different migration scenarios Explain pre-requisites for migration from NSX-V to NSX-T Explain use of migration tools from NSX-V to NSX-T NSX Advanced Load Balancer Explain basic concepts of NSX Advanced Load Balancer Explain the integration of NSX Advanced Load Balancer with NSX Discuss the use cases for NSX Advanced Load Balancer VMware vCloud Availability Describe the architecture of VMware vCloud Availability for vCloud Director Explain the prerequisites of vCloud Availability for Cloud Director Discuss the implementation of vCloud Availability for Cloud Director Discuss the use cases for migration with vCloud Availability Explain setup of data seeds for vCloud Availability Discuss the use cases for Disaster Recover as a Service with vCloud Availability Explain connectivity for vCloud Availability to Cloud use cases Understand requirements for vCloud Availability OnPrem to Cloud failover and failback vRealize Operations Tenant App / Chargeback Describe the architecture of vRealize Operations in a Service Provider Describe the architecture of vRealize Operations Tenant App Explain the use cases for vRealize Operations Tenant App Explain use cases for vRealize Operations Manager in Service Provider environments Discuss vRealize Operations Manager Management Packs Explain advanced troubleshooting in service provider environments with vRealize Operations Manager Discuss architecture and integration of vRealize Operations Manager Tenant App Explain connectivity of the vRealize Operations Manager Tenant App Discuss user and role management of the vRealize Operations Manager Tenant App Describe billing policy definition in the vRealize Operations Manager Tenant App VMware Cloud Director Orchestration Explain VMware Cloud Director orchestration Explain vRealize Orchestrator use cases Describe the architecture of vRealize Orchestrator in a Service Provider environment Explain use cases for VMware Cloud Director blocking tasks Explain use cases for XaaS Integration Design workflows, objects Discuss UI customization for Service Provider and Tenants Explain integration of custom elements in VMware Cloud Director Explain use cases for Extensibility SDK Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Cloud Director: Advanced Workshop [v10.2] 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 VMware Cloud Director: Advanced Workshop [v10.2] 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.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 3 Days 18 CPD hours This course is intended for Individuals preparing for the Cisco Customer Success ManagerSpecialist certification Individuals who have experience working with customers to determine, measure, and deliver business outcomes through the implementation of technology Overview After taking this course, you should be able to: Describe the role of the Customer Success Manager Describe the tools that the Customer Success Manager uses to ensure customer experience Describe the lifecycle approach to customer experience The Cisco Customer Success Manager (DTCSM) v2.2 course gives you the confidence and competence to fulfill the Customer Success Manager (CSM) role successfully, helping your customers realize value from their solutions and achieve their business outcomes. The course offers experiential learning through practical exercises using situations based on real-life use cases and case studies. In this highly interactive course, you can practice and gain confidence in fulfilling core tasks using best-practice tools and methodologies while receiving feedback from the facilitator and your peers.This course is based on understanding the customer lifecycle and how to optimize that journey, increasing the value realized by the customer, and maximizing your likelihood to maintain their loyalty and renew or expand their business opportunities. The course helps you prepare for the 820-605 Cisco Customer Success Manager (CSM) exam. By passing this exam, you earn the Cisco Customer Success Manager Specialist certification. Course Outline Transition to Subscription Economy Customer and Industry Trends Defining Customer Success and the CSM Role Engaging the Customer for Success Engaging the Customer for Success Addressing Barriers Customer Success Management Activities Success Plan Elements Customer Success Management Activities Additional course details: Nexus Humans Cisco Customer Success Manager v2.2 (DTCSM) 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 Customer Success Manager v2.2 (DTCSM) 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.