327 Courses in Glasgow delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: C|ASE-certified professionals Application security professionals DevOps engineers IT security professionals Cybersecurity engineers and analysts Software engineers and testers Anyone with prior knowledge of application security who wants to build a career in DevSecOps Overview This course empowers you with the knowledge and skills to: Understand DevOps security bottlenecks and remediation Understand the DevSecOps toolchain and implement tools Integrate Eclipse and GitHub with Jenkins to build applications Align security practices Integrate threat modeling tools Understand and implement continuous security testing Integrate runtime application self-protection tools Integrate automated security testing Perform continuous vulnerability scans Use AWS and Azure tools to secure applications. Integrate compliance-as-code tools EC-Council Certified DevSecOps Engineer (E|CDE) is a hands-on, instructor-led comprehensive DevSecOps certification program that helps professionals build the essential skills to design, develop, and maintain secure applications and infrastructure. Course Outline Module 1: Understanding DevOps Culture Module 2: Introduction to DevSecOps Module 3: DevSecOps Pipeline?Plan Stage Module 4: DevSecOps Pipeline?Code Stage Module 5: DevSecOps Pipeline?Build and Test Stage Module 6: DevSecOps Pipeline?Release and Deploy Stage Module 7: DevSecOps Pipeline?Operate and Monitor Stage Additional course details: Nexus Humans EC-Council Certified DevSecOps Engineer (E|CDE) 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 EC-Council Certified DevSecOps Engineer (E|CDE) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course benefits cloud consumers and administrators of public cloud, private cloud, and hybrid cloud infrastructures: Security architects Cloud architects Network engineers and administrators System engineers and adminstrators Cloud security consumers Cloud application administrators IT managers Line of business managers Cisco integrators and partners Overview After taking this course, you should be able to: Describe public, private, and hybrid cloud models, concepts, and design Explain the concepts and components for securing cloud environments Describe Cisco security offerings for Amazon Web Services (AWS) Define methods to secure SaaS application usage The Introducing Cisco Cloud Consumer Security (SECICC) v1.0 course gives you a technical overview of basic concepts and components of the cloud, and the Cisco© solutions used to provide comprehensive security of your cloud-based environment. In this primarily lecture-based course, you?ll learn the basics from a cloud consumer perspective including securing cloud and Software as a Service (SaaS) application environments. This introductory course provides insights on using Cisco Stealthwatch? Cloud, Cisco CloudLock, Cisco Umbrella? and more to protect the user when using cloud-based applications. Introducing the Cloud Describe the Evolution of Cloud Computing Explain Cloud Service Models Explore Cloud Deployment Models Introducing Securing the Cloud Describe the Cisco Threat-Centric Approach to Network Security Describe Cloud Physical Environment Security Describe Cloud Network Infrastructure Security Explain Application Security Explore Cloud Management and API Security Describe Cisco Cloud-Based Security Solutions Describe Network Functions Virtualization (NFV), Virtual Network Function (VNF), and Secure Agile Exchange (SAE) Describe Cisco CloudCenter for MultiCloud Management Describe Cisco Stealthwatch Describing Cloud Security Solutions Using AWS Identify AWS Security Offerings Identify Cisco Security Solutions in AWS Introducing Security in an SaaS Environment Describe SaaS Applications Describe SaaS Security Challenges Explain Cloud Access Security Broker Describe Cisco CloudLock Describe OAuth and OAuth Attacks Describe Cisco Advanced Malware Protection for Endpoints Describe Cisco Cloud Email Security Describe Cisco Umbrella Lab outline Explore Cisco Stealthwatch Cloud Explore Stealthwatch Cloud Alerts Settings, Watchlists, and Sensors Explore Cisco Security Solutions in AWS Marketplace Explore the Cisco CloudLock Dashboard and User Security Explore Cisco CloudLock Application and Data Security Explore Cisco Advanced Malware Protection (AMP) Endpoints Explore the Cisco Umbrella Roaming Client Additional course details: Nexus Humans Cisco Introducing Cisco Cloud Consumer Security v1.0 (SECICC) 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 Introducing Cisco Cloud Consumer Security v1.0 (SECICC) 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.

Network DevOps course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network DevOps course details Who will benefit: Administrators automating tasks. Prerequisites: TCP/IP Foundation Duration 5 days Network DevOps course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal. Hands on Python programming with pyping. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install. Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Network automation course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network automation course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 5 days Network automation course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Definitive Salt training course description Salt is a remote execution framework and configuration management system. This course covers Salt from the basics. After a quick first taste the course moves onto execution modules, salt states, minion and master data, jinja, Salt extensions and then topology and configuration options. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Install and use Salt. Describe the architecture of Salt. Manage configurations with Salt. Extend Salt. Definitive Salt training course details Who will benefit: Anyone working with Salt. Prerequisites: Linux fundamentals. Duration 2 days Definitive Salt training course contents Introduction What is Salt? High- level architecture, Some quick examples, system management, configuration management, A brief history, Topology options, Extending Salt. Quick start: First taste of Salt Single-master setup, from packages, bootstrap scripts, Starting up, Basic commands, salt: the main workhorse, salt-key: key management, salt-call: execution on the minion, salt-run: co-ordination of jobs on the master, summary of commands, Key management, viewing keys, accepting keys, rejecting keys, key files, Minion targeting, minion ID, list (-L), glob, regular expressions (-E), grains (-G), compound (-C), targeting summary, Additional remote execution details, Conclusion. Execution modules: The functional foundation sys: information and documentation about modules, sys.doc basic documentation, sys.list_modules, sys.list_functions: simple listings, cmd: execute via shell, cmd.run: run any command, pkg: manage packages, virtual modules, pkg.lists_pkgs: list all installed packages, pkg.available version: see what version will be installed, pkg.install: install packages, user: manage users, user.add: add users, user.list_users, user info: get user info, saltutil: access various Salt utilities, Summary. Configuration management: Salt states Salt files overview, SLS example: adding a user, working with the multi-layered state system, Highstate and the top file, the top file, State ordering, require: depend on another state, watch: run based on other changes, odds and ends, Summary. Minion data / master data Grains are minion data, performing basic grain operations, setting grains, targeting with grains in the top file, Pillars are data from the master, querying pillar data, querying other sources with external pillars, Renderers give data options. Extending Salt: part I Introduction to Jinja, Jinja basics, Templating with Jinja, filtering by grains, Custom execution module, Custom state modules, Custom grains, External pillars, Summary. More on the matter Runners, manage minions, manage jobs, The orchestrate runner, The event system, The reactor system, Summary. Extending Salt: part II Python client API, reading configuration data on a master and minion, using the master client (localclient) API, Using the caller client API, Custom runners, writing a custom runner, using the runnerclient API, Summary. Topology and configuration options Master configuration, directories and files, logging, access control, files server options, Topology variations, masterless minions, peer systems, syndication masters, multiple masters. Brief introduction to salt-cloud Overview, Setup AWS and salt-cloud, installing salt-cloud, cloud providers, cloud profiles, cloud maps, Introspection via salt cloud, Creating infrastructure, More information. Using vagrant to run Salt examples YAML.

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 Experienced system administrators and network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the NSX Advanced Load Balancer architecture Describe the NSX Advanced Load Balancer components and main functions Explain the NSX Advanced Load Balancer key features and benefits Deploy and configure the NSX Advanced Load Balancer infrastructure within private or public clouds using Write and No-Access Cloud Connectors Explain, deploy, and configure Service Engines Explain and configure local load balancing constructs such as virtual services, pools, health monitors, and related components Explain and configure advanced virtual services and related concepts such as Subject Name Indication, Enhanced Virtual Hosting, and authentication of virtual services Explain and modify application behavior through profiles, policies, and DataScripts Describe Central licensing management using VMware NSX Advanced Load Balancer Enterprise with Cloud services (formerly Avi Pulse) Explain how to configure Role-Based Access Control (RBAC) in NSX Advanced Load Balancer Configure advanced services such as global server load balancing Describe how to use NSX Advanced Load Balancer REST API interfaces and related automation capabilities Describe and configure NSX Advanced Load Balancer application and infrastructure monitoring Gather relevant information and perform basic troubleshooting of applications that use built-in NSX Advanced Load Balancer tooling Identify the key features of VMware NSX Network Detection and Response This five-day, fast-paced course provides comprehensive training to install, configure, and manage a VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key NSX Advanced Load Balancer (Avi Networks) features and functionality offered in the NSX Advanced Load Balancer 21.x release. Features include the overall infrastructure, virtual services, application components, global server load balancing, various cloud connectors, application troubleshooting, and solution monitoring. Hands-on labs provide access to a software-defined data center environment to reinforce the skills and concepts presented in the course. Course Introduction Introduction and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and their respective functions Virtual Services Configuration Concepts Explain virtual service components Explain virtual service types Explain and configure basic virtual service components such as application profiles and network profiles Virtual Services Configuration Advanced Concepts Explain the virtual service advanced components such as Wildcard VIP, Server Name Identification (SNI), and Enhanced Virtual Hosting (EVH) Explain the concept of virtual service VIP Sharing Explain different authentication mechanisms used for a virtual service such as LDAP, SAML, JSON Web Token, and OAUTH Profiles and Policies Explain application profiles and types such as L4, DNS, Syslog, HTTP, and VMware Horizon VDI Explain and configure advanced application HTTP profile options Describe network profiles and types Explain and configure SSL profiles and certificates Explain and configure HTTP, network, and DNS policies Pools Configuration Concepts Explain pools configuration options Describe the available load balancing algorithms Explain multiple health monitor types Explain multiple Persistence profiles Explain and configure pool groups Modifying Application Behavior Design and apply application solutions by using application profiles Design and apply application solutions by using network, HTTP policies, and DataScripts Explain DataScript fundamentals Explain and use NSX Advanced Load Balancer analytics to understand application behavior Describe and configure client SSL certificate validation Describe and configure virtual service DDoS, Rate limiting, and Throttling capabilities Modify network profile properties such as TCP connection properties Design and apply application solutions by using Persistence profiles NSX Advanced Load Balancer Infrastructure Architecture Explain management, control, data, and consumption planes and functions Describe control plane clustering and high availability Describe controller sizing and process sharing Describe Service Engine CPU and NIC architecture Explain tenants Configure properties of Service Engine groups Explain Service Engine group high availability modes Describe and configure active-standby high availability mode Explain Service Engine placement in multiple availability zones for public clouds Describe and configure elastic HA high availability mode (Active-Active, N+M) Explain Service Engine failure detection and self-healing Describe Service Engine as a router Explain virtual service scale-out options such as Layer 2 (Native), Layer 3 (BGP), and DNS-based Describe how to upgrade NSX Advanced Load Balancer Introduction to Cloud Connector Explain cloud connectors Review cloud connector integration modes List cloud connector types Review the different Service Engine image types in different ecosystems Installing, Configuring, and Managing NSX Advanced Load Balancer in No-Orchestrator Cloud Explain No-Access cloud concepts Configure No-Access cloud integration on bare metal Explain and configure Linux Server Cloud Explain and configure VMware No Orchestrator Describe the advanced configuration options available in bare metal (Linux Server Cloud) Installing, Configuring, and Managing NSX Advanced Load Balancer in VMware Environment: Cloud Configuration Introduce VMware integration options Explain and configure VMware Write Access Cloud Connector Explain NSX Advanced Load Balancer integration options in a VMware NSX environment Explain and configure NSX Cloud Connector for Overlay and VLAN-backed segments AWS Cloud Configuration Describe NSX Advanced Load Balancer public cloud integrations Explain different AWS components Explain and demonstrate AWS public cloud integration Deploy VMware NSX Advanced Load Balancer Controller, SEs, and virtual services in AWS Cloud Review Multi-AZ Support for virtual services in AWS cloud GCP Cloud Configuration Explain different GCP components Explain and demonstrate GCP public cloud integration Deploy NSX Advanced Load Balancer Controller, SEs, and virtual services in GCP cloud Azure Cloud Configuration Describe NSX Advanced Load Balancer public cloud integrations Explain different Microsoft Azure components Explain and demonstrate Azure public cloud integration Deploy NSX Advanced Load Balancer Controller, SEs, and virtual services in Azure Cloud NSX Advanced Load Balancer Enterprise with Cloud Services (Avi Pulse) Describe NSX Advanced Load Balancer public cloud services Explain different features of NSX Advanced Load Balancer Cloud Services Register the controller with Cloud Services DNS Foundations Review, discuss, and explain DNS fundamentals Describe NSX Advanced Load Balancer DNS and IPAM providers Global Server Load Balancing (GSLB) Introduce Global Server load balancing concepts and benefits Explain and configure the NSX Advanced Load Balancer infrastructure Explain and configure the DNS Virtual Service components Explain and configure GSLB Service Engine Group Describe and configure GSLB sites Explain and configure basic GSLB services to include pools and health monitors Describe GSLB Server Load Balancing algorithms Explain and configure health monitors based on data plane and control plane Describe GSLB Health Monitor Proxy Explain GSLB Site-Cookie Persistence Explain the different GSLB replication methods Role-Based Access Control (RBAC) Introduce local authentication in NSX Advanced Load Balancer Introduce remote authentication in NSX Advanced Load Balancer Review the different types of remote authentication Explain granular RBAC using labels NSX Advanced Load Balancer: Troubleshooting Introduce infrastructure and application troubleshooting concepts Describe troubleshooting based on control plane and data plane Explain application analytics and logs Describe client logs analysis Explain headers troubleshooting and packet capture mechanism Describe how to use CLI for detailed data plane troubleshooting Explain Service Engine logs Explain health monitors troubleshooting Explain BGP session troubleshooting Describe control plane troubleshooting, clustering, and cloud connector issues Events and Alerts Describe NSX Advanced Load Balancer events Describe and configure NSX Advanced Load Balancer alerts Describe NSX Advanced Load Balancer monitoring capabilities with SNMP, Syslog, and Email Introduction to NSX Advanced Load Balancer Rest API Introduce the NSX Advanced Load Balancer REST API interface Describe REST API Object Schema Explain and interact with REST API interface with

Duration 5 Days 30 CPD hours Overview SDWAN Overview Cisco SDWAN Hardware Deploying the Overlay Configuring vManage Deploying using Templates Creating Policies Monitoring vManage vAnalytics Troubleshooting Tools for VManage In this Implementation and Configuration SDWAN Course, students will deploy and configure SD-WAN Controllers, vEdge Devices, and Cisco IOS-XE Devices. Students will create Multiple Device and CLI Templates that will allow Hundreds of devices to be deployed using only a few Centralized Templates. Students will create Security Policies to enable the Enterprise Firewall, IDS/IPS, URL Filtering, and Web Layer Security to protect and allow Enterprises to deploy Cloud applications as well as Direct Internet Access (DIA). Students will also create Local and Central Policies that enable a Centralized Policy control of WAN Routing and device QOS configuration and enforcement. Students will also learn how Cisco SD-WAN allows Enterprises to deploy an effective Cloud Solutions such as Amazon AWS, Microsoft Azure, and Google Cloud. Students will also learn how to Monitor and Troubleshoot the SD-WAN Solution. SDWAN Overview Describe what a Software-Defined Wide Area Network (SD-WAN) is Describe the secure extensible network Describe the function of the virtual IP fabric created in the SD-WAN solution What is SDWAN Cisco Cloud vs On-premises vs private cloud management Cisco IWAN vs Viptela SDWAN IWAN Migration to SDWAN SDWAN Integration with Cisco Cisco SDWAN Licensing Deploying Cisco SDWAN Controllers On-Prem vs Cloud deployment vManage NMS vBond Orchestrator Deploy the vSmart Controller Controller High Availability Cluster Management Cisco SDWAN Certificates and Whitelists On-Prem vs Cloud Certificate deployment Controller Certificates Hardware Device Certificates Software Device Certificates Certificates Device Whitelists Controller Whitelists Cisco SDWAN Edge Devices vEdge Appliances vEdge Cloud Cisco IOS-XE Platforms Cisco CSR 1000V Router Cisco 54xx Enterprise Network Compute System (ENCS) Cisco SDWAN Fabric and Overview Virtual Fabric Overview Overlay Management Protocol Transport Locators (TLOCs) Multicast TCP Optimization Opening Firewall Ports Software Installation and Upgrade vEdge Routers Deploying vEdge Routers Migrating IOS-XE Devices to Cisco SD-WAN Zero Touch Provisioning Deploy AWS Gateway using the AWS Wizard Cisco SD-WAN Security Solution Security SDWAN IOS-XE Security SDWAN vEdge Security Firewall Ports Control Plane Security Data Plane Security Traffic Segmentation Service Chaining Cloud Security Enterprise Firewall Quality of Service Application Visibility and Recognition Differentiated Services-Quality of Service Critical Applications SLA Path MTU Discovery TCP Performance Optimization Bidirectional Forwarding Detection (BFD) vEdge Router Queuing Configuring vManage Using the vManage Interface Using the vManage Dashboard Administration Configuration SD-WAN Templates Templates Wide Area Application Server (WAAS) Maintenance Configure Cisco Umbrella Quality of Service (QoS) SD-WAN Policies Local Policies vs Central Policies Policies Smart policies (Control, Data, AppRoute, cflowd) SD-WAN Cloud OnRamp SAAS Cloud OnRamp IAAS vAnalytics Applications Network Availability Network Health vAnalytics Dashboard Monitoring vManage Network ACL Log Alarms Audit Log Events Geography View Device Information View Link Information Configure Geographic Coordinates for a Device Troubleshooting Tools for vManage Using vManage to Troubleshoot the environment Operational Commands Rediscover Network CLI Command to troubleshoot the environment. SSH Terminal Additional course details: Nexus Humans ICSDWAN-CT-Implementing, Configuring, Monitoring, and Troubleshooting Cisco (Viptela)SDWAN 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 ICSDWAN-CT-Implementing, Configuring, Monitoring, and Troubleshooting Cisco (Viptela)SDWAN 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 Overview VMware vSphere: What's New [V8] https://lms.nhcms.neYou will learn essential Terraform concepts including: Writing Terraform HCL code Deploying into common clouds such as AWS, Azure, Docker, Kubernetes, and VMWare Where Terraform fits in the Enterprise CI/CD model Differences between Terraform and Ansible As enterprises seek to deploy and maintain increasingly complex cloud infrastructure, there is a necessity to use ?Infrastructure as Code? (IaC) tools, like Terraform. An open-source, state management tool developed by HashiCorp, Terraform allows developers to use a common coding interface to work through their various clouds safely and efficiently. Attendees will leave being able to write and understand Terraform code (HCL), have a clear understanding of Terraform?s various components and supporting tools, as well as when to reach for Terraform over another IaC tool, such as Ansible. This class prepares you for Terraform Certifcation. Up and Running with Terraform Terraform Overview Defining ?declarative? How to think about Terraform (versus Ansible) Reviewing the Terraform Configuration Running the Terraform Configuration Provisioners Syntax Low Level? HCL syntax Style Conventions Comments Blocks Arguments JSON Configuration Syntax Resources Meta-Arguments depends_on count for_each provider lifecycle Data Sources Variables and Output Input Variables Output Values Local Values Functions String Collection Numeric Encoding Filesystem Date and Time Hash and Crypto IP Network Type Conversion Modules Module Blocks Module Sources Meta Arguments Terraform Templates templatefile Function Template Demonstration Introducing Data Sources Creating an External Data Source Building tftpl template files Expressions Types and Values Strings and Templates Reference to Values Operators Function Calls Conditionals For Expressions Splat Expressions Dynamic Blocks Type Constraints Version Constraints State Understanding the importants of states state storage and locking importing existing resources Remote State What to do when local state is lost CICD Piplines with Terraform Terraform and GitLab pipelines Terraform and Jenkins pipelines Enterprise Case Studies Terraform and Docker Terraform and Kubernetes Terraform and Amazon AWS Terraform and Azure Terraform and VMWare Understanding how to apply Terraform to your unique infrastructure Beyond Basics Intro to Go Programming Terraform Cloud Additional HashiCorp Offerings Backends Secrets Additional course details: Nexus Humans Terraform 101 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 Terraform 101 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 intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.