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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 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Platform Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing,storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Identify the purpose of projects on Google Cloud. Understand how Azure's resource hierarchy differs from Google Cloud's Understand the purpose of and use cases for Identity and Access Management. Understand how Azure AD differs from Google Cloud IAM. List the methods of interacting with Google Cloud. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine Understand the basics of networking in Google Cloud. Understand how Azure VPC differs from Google VPC. Understand the similarities and differences between Azure VM and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure. Deploy applications using Google Compute Engine Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Azure Blob compares to Cloud Storage. Compare Google Cloud?s managed database services with Azure SQL. Learn how to choose among the various storage options on Google Cloud. Load data from Cloud Storage into BigQuery Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Azure App Service. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Google Cloud Deployment Manager differs from Azure Resource Manager. Understand the purpose of integrated monitoring, alerting, and debugging Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from Azure Data Lake. Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from Azure's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from Azure to Google Cloud.

Duration 3 Days 18 CPD hours This course is intended for This intermediate-level hands-on course is geared for experienced Administrators, Analysts, Architects, Data Scientists, Database Administrators and Implementers Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services. Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs. Throughout this course participants will explore how to centralize data across databases, performing integration, designing ODI Mappings, and setting up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem, allowing administrators and data scientists to farm out map-reduce operations from established relational databases to Hadoop. They can also read back into the relational world the results of complex Big Data analysis for further processing. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Introduction to Integration and Administration Oracle Data Integrator: Introduction Oracle Data Integrator Repositories Administering ODI Repositories Create and connect to the Master Repository Export and import the Master Repository Create, connect, and set a password to the Work Repository ODI Topology Concepts ODI Topology: Overview Data Servers and Physical Schemas Defining Topology Agents in Topology Planning a Topology Describing the Physical and Logical Architecture Topology Navigator Creating Physical Architecture Creating Logical Architecture Setting Up a New ODI Project ODI Projects Using Folders Understanding Knowledge Modules Exporting and Importing Objects Using Markers Oracle Data Integrator Model Concepts Understanding the Relational Model Understanding Reverse-Engineering Creating Models Organizing ODI Models and Creating ODI Datastores Organizing Models Creating Datastores Constraints in ODI Creating Keys and References Creating Conditions Exploring Your Data Constructing Business Rules ODI Mapping Concepts ODI Mappings Expressions, Join, Filter, Lookup, Sets, and Others Behind the Rules Staging Area and Execution Location Understanding Knowledge Modules Mappings: Overview Designing Mappings Multiple Sources and Joins Filtering Data Overview of the Flow in ODI Mapping Selecting a Staging Area Configuring Expressions Execution Location Selecting a Knowledge Module Mappings: Monitoring and Troubleshooting Monitoring Mappings Working with Errors Designing Mappings: Advanced Topics 1 Working with Business Rules Using Variables Datasets and Sets Using Sequences Designing Mappings: Advanced Topics 2 Partitioning Configuring Reusable Mappings Using User Functions Substitution Methods Modifying Knowledge Modules Using ODI Procedures Procedures: Overview Creating a Blank Procedure Adding Commands Adding Options Running a Procedure Using ODI Packages Packages: Overview Executing a Package Review of Package Steps Model, Submodel, and Datastore Steps Variable Steps Controlling the Execution Path Step-by-Step Debugger Starting a Debug Session New Functions Menu Bar Icons Managing ODI Scenarios Scenarios Managing Scenarios Preparing for Deployment Using Load Plans What are load plans? Load plan editor Load plan step sequence Defining restart behavior Enforcing Data Quality with ODI Data Quality Business Rules for Data Quality Enforcing Data Quality with ODI Working with Changed Data Capture CDC with ODI CDC implementations with ODI CDC implementation techniques Journalizing Results of CDC Advanced ODI Administration Setting Up ODI Security Managing ODI Reports ODI Integration with Java

Duration 3 Days 18 CPD hours This course is intended for This is an introductory- level course appropriate for those who are developing applications using relational databases, or who are using SQL to extract and analyze data from databases and need to use the full power of SQL queries. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert practitioner, attendees will learn to: Maximize the potential of SQL to build powerful, complex and robust SQL queries Query multiple tables with inner joins, outer joins and self joins Construct recursive common table expressions Summarize data using aggregation and grouping Execute analytic functions to calculate ranks Build simple and correlated subqueries Thoroughly test SQL queries to avoid common errors Select the most efficient solution to complex SQL problems A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. SQL is the cornerstone of all relational database operations. In this hands-on course, you learn to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls. It also teaches alternative solutions to given problems, enabling you to choose the most efficient solution in each situation. Introduction: Quick Tools Review Introduction to SQL and its development environments Using SQL*PLUS Using SQL Developer Using the SQL SELECT Statement Capabilities of the SELECT statement Arithmetic expressions and NULL values in the SELECT statement Column aliases Use of concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword Use of the DESCRIBE command Restricting and Sorting Data Limiting the Rows Rules of precedence for operators in an expression Substitution Variables Using the DEFINE and VERIFY command Single-Row Functions Describe the differences between single row and multiple row functions Manipulate strings with character function in the SELECT and WHERE clauses Manipulate numbers with the ROUND, TRUNC and MOD functions Perform arithmetic with date data Manipulate dates with the date functions Conversion Functions and Expressions Describe implicit and explicit data type conversion Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions Nest multiple functions Apply the NVL, NULLIF, and COALESCE functions to data Decode/Case Statements Using the Group Functions and Aggregated Data Group Functions Creating Groups of Data Having Clause Cube/Rollup Clause SQL Joins and Join Types Introduction to JOINS Types of Joins Natural join Self-join Non equijoins OUTER join Using Subqueries Introduction to Subqueries Single Row Subqueries Multiple Row Subqueries Using the SET Operators Set Operators UNION and UNION ALL operator INTERSECT operator MINUS operator Matching the SELECT statements Using Data Manipulation Language (DML) statements Data Manipulation Language Database Transactions Insert Update Delete Merge Using Data Definition Language (DDL) Data Definition Language Create Alter Drop Data Dictionary Views Introduction to Data Dictionary Describe the Data Dictionary Structure Using the Data Dictionary views Querying the Data Dictionary Views Dynamic Performance Views Creating Sequences, Synonyms, Indexes Creating sequences Creating synonyms Creating indexes Index Types Creating Views Creating Views Altering Views Replacing Views Managing Schema Objects Managing constraints Creating and using temporary tables Creating and using external tables Retrieving Data Using Subqueries Retrieving Data by Using a Subquery as Source Working with Multiple-Column subqueries Correlated Subqueries Non-Correlated Subqueries Using Subqueries to Manipulate Data Using the Check Option Subqueries in Updates and Deletes In-line Views Data Control Language (DCL) System privileges Creating a role Object privileges Revoking object privileges Manipulating Data Overview of the Explicit Default Feature Using multitable INSERTs Using the MERGE statement Tracking Changes in Data

Duration 2.5 Days 15 CPD hours This course is intended for This course is intended for those with a basic understanding of Tableau who want to pursue mastery of the advanced features. Overview The goal of this course is to present essential Tableau concepts and its advanced functionalities to help better prepare and analyze data. This course will use Tableau Hyper, Tableau Prep and more. Getting Up to Speed ? a Review of the Basics Connecting Tableau to your data Connecting to Tableau Server Connecting to saved data sources Measure Names and Measure Values Three essential Tableau concepts Exporting data to other devices Summary All About Data ? Getting Your Data Ready Data mining and knowledge discovery process models CRISP?DM All About Data ? Joins, Blends, and Data Structures All About Data - Joins, Blends, and Data Structures Introduction to joins Introduction to complex joins Exercise: observing join culling Introduction to join calculations Introduction to spatial joins Introduction to unions Understanding data blending Order of operations No dimensions from a secondary source Introduction to scaffolding Introduction to data structures Exercise: adjusting the data structure for different questions Summary Table Calculations Table Calculations A definition and two questions Introduction to functions Directional and non-directional table calculations Application of functions Summary Level of Detail Calculations Level of Detail Calculations Building playgrounds Playground I: FIXED and EXCLUDE Playground II: INCLUDE Practical application Exercise: practical FIXED Exercise: practical INCLUDE Exercise: practical EXCLUDE Summary Beyond the Basic Chart Types Beyond the Basic Chart Types Improving popular visualizations Custom background images Tableau extensions Summary Mapping Mapping Extending Tableau's mapping capabilities without leaving Tableau Extending Tableau mapping with other technology Exercise: connecting to a WMS server Exploring the TMS file Exploring Mapbox Accessing different maps with a dashboard Creating custom polygons Converting shape files for Tableau Exercise: polygons for Texas Heatmaps Summary Tableau for Presentations Tableau for Presentations Getting the best images out of Tableau From Tableau to PowerPoint Embedding Tableau in PowerPoint Animating Tableau Story points and dashboards for Presentations Summary Visualization Best Practices and Dashboard Design Visualization Best Practices and Dashboard Design Visualization design theory Formatting rules Color rules Visualization type rules Compromises Keeping visualizations simple Dashboard design Dashboard layout Sheet selection Summary Advanced Analytics Advanced Analytics Self-service Analytics Use case ? Self-service Analytics Use case ? Geo-spatial Analytics Summary Improving Performance Improving Performance Understanding the performance-recording dashboard Exercise: exploring performance recording in Tableau desktop Performance-recording dashboard events Behind the scenes of the performance- recording dashboard Hardware and on-the-fly techniques Hardware considerations On-the-fly-techniques Single Data Source > Joining > Blending Three ways Tableau connects to data Using referential integrity when joining Advantages of blending Efficiently working with data sources Tuning data sources Working efficiently with large data sources Intelligent extracts Understanding the Tableau data extract Constructing an extract for optimal performance Exercise: summary aggregates for improved performance Optimizing extracts Exercise: materialized calculations Using filters wisely Extract filter performance Data source filter performance Context filters Dimension and measure filters Table-calculation filters Efficient calculations Boolean/Numbers > Date > String Additional performance considerations Avoid overcrowding a dashboard Fixing dashboard sizing Setting expectations Summary Additional course details: Nexus Humans Advanced Tableau 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 Advanced Tableau 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 Operators, administrators, and architects for VMware Horizon should enroll in this course. These individuals are responsible for the creation, maintenance, and or delivery of remote and virtual desktop services. Additional duties can include the implementation, support, and administration of an organization's end-user computing infrastructure. Overview By the end of the course, you should be able to meet the following objectives: Assess the business and application requirements of an environment Analyze design choices and design an EUC infrastructure architecture that addresses the needs of the environment Design an EUC architecture that addresses the needs of the organization and follows VMware best practices Document a design that can be implemented Design a comprehensive VMware EUC solution This five-day course presents a methodology for designing a VMware end-user computing (EUC) solution. The design methodology includes recommendations for the types of information and data that must be gathered and analyzed to make sound design decisions for the client systems, the desktop options, the VMware vSphere© infrastructure, VMware Horizon©, VMware Horizon© Cloud ServiceTM, VMware Workspace ONE© UEM, VMware Workspace ONE© AccessTM, VMware NSX-TTM, and VMware Unified Access GatewayTM. VMware best practices are presented for each phase of the design process. In this course, you apply your new knowledge by working with other participants to design a VMware EUC solution for a real-world project. Course Introduction Introductions and course logistics Course objectives VMWare EUC Design Methodology Recognize the characteristics of a good design. Identify the phases of VMware EUC Design Methodology Presenting Solutions to Executive Management Identify behaviors that can affect team performance negatively List common mistakes when working in a team Describe how to tailor a presentation to the company?s values, and stakeholders? backgrounds and roles List questions you should ask to identify how to address a problem a client is trying to solve Infrastructure Assessment and Services Definition Define customer business objective Define a use case for your virtual desktop and application infrastructure Convert customer requirements to use-case attributes Horizon Architecture and Components Determine the components required for a Horizon on-premises or Horizon Cloud deployment Implement the design considerations and recommendations for various Horizon components Analyze the use-case scenarios for various the Horizon deployment options Component Design: Horizon Pods Design a single-site Horizon desktop block and pod configuration for a given use case Design Cloud Pod Architecture for multisite pool access Design Control Plane Services Architecture for multisite pool access Component Design: App Volumes and Dynamic Environment Manager Identify the functionalities of the components in App Volumes Logical Architecture Implement the recommended practices when designing an application delivery mechanism using App Volumes Component Design: Workspace ONE Map the Horizon desktop building block and the Horizon management building block to VMware vSphere. Identify factors and design decisions that determine the sizing for ESXi hosts Workspace ONE & Horizon Infrastructure Design Design the environment resources required to support a Workspace ONE and Horizon deployment Identify factors and design decisions that determine the sizing for ESXi host Discuss the factors that determine the sizing for shared storage Identify the design decisions related to bandwidth utilization Discuss the implications of using load balancing and traffic management Identify factors and design decisions that determine the sizing of the Azure pods Design Integration and Delivery List the platform components that needs to be integrated along with their dependent services. Integrate Workspace ONE and Horizon platform components. Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware End User Computing: Design 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 End User Computing: Design 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 Network designers Network managers System engineers Overview After taking this course, you should be able to: Review the Cisco Catalyst 9000 Series Switches identify the switches' features and examine the functionalities purpose-built for Cisco DNA and the SD-Access solution. Position the different Cisco Catalyst 9000 Series Switch model types in the network, and map older Cisco Catalyst switches to the 9000 family for migration. Identify the role and value of Cisco Silicon One in a campus environment. Examine management capabilities of the Cisco Catalyst 9000 Series Switches. Describe the scalability and performance features supported by the Cisco Catalyst 9000 Series Switches. Describe the Cisco Catalyst 9000 Series Switch support for security, Quality of Service (QoS), and Internet of Things (IoT) convergence features. Describe automation features, Application Programming Interface (API), Infrastructure as Code, and automation tools supported on Cisco Catalyst 9000 Series switches. Describe the new QoS, IoT, and BGP EVPN Features on Cisco Catalyst 9000 Series Switches. Describe the maintenance features on Cisco Catalyst 9000 Series switches. Explore the SD-Access solution fundamentals, deployment models for the Cisco Catalyst 9000 Series Switch, and the use of Cisco DNA Center to manage infrastructure devices. Automate Day 0 device onboarding with Cisco DNA Center LAN Automation and Network PnP. Describe how to manage and host applications on Cisco Catalyst 9000 Series switches using Cisco DNA Center. Explore a modern approach to cloud-managed networking for Cisco Catalyst 9000 Series switches and wireless access points that uses the Meraki Dashboard and analytics. Describe the Cisco Catalyst 9200 Series Switch architecture, model types, port types, uplink modules, components including power supplies, and other switch features and capabilities. Describe the Cisco Catalyst 9300 Series Switch architecture, model types, port types, uplink modules, and components, including power supplies and stacking cables. Describe the Cisco Catalyst 9400 Series Switches, different modular chassis, supervisor and line card options, architectural components, uplink, and power redundancy, and Multigigabit ports Describe the Cisco Catalyst 9500 Series Switches, model types, switch components, RFID support, architecture, and switch profiles. Describe the Cisco Catalyst 9600 Series Switch architecture, supervisor and line card options, and high availability features. The Implementing Cisco Catalyst 9000 Series Switches (ENC9K) v4.0 course provides you with insight into Cisco Catalyst 9000 Series Switches and its solution components. You will learn about the architecture, capabilities, positioning, and implementation of the Cisco Catalyst 9000 Series switches, as well as the management of the switches using CLI, Cisco DNA Center, and IOS-XE web user GUI. Additionally, you will be introduced to security, cloud, automation, and other important features of Cisco Catalyst 9000 Series switches. Course Outline Introducing the Cisco Catalyst 9000 Series Switches Positioning Cisco Catalyst 9000 Series Switches Cisco Catalyst Silicon One Architecture Exploring Cisco Catalyst 9000 Series Switches Management Capabilities Scale and Performance Features on Cisco Catalyst 9000 Series Switches Security Features on Cisco Catalyst 9000 Series Switches Automation Features on Cisco Catalyst 9000 Series Switches QoS, IoT, and BGP EVPN Features on Cisco Catalyst 9000 Series Switches Maintenance Features on Cisco Catalyst 9000 Series Switches Cisco SD-Access Solution on Cisco Catalyst 9000 Series Switches Application Hosting on Cisco Catalyst 9000 Series Switches Cloud Management for Catalyst 9000 Series Using Meraki Dashboard Automating Network Changes with Cisco DNA Center Introducing Cisco Catalyst 9200 Series Switches Introducing Cisco Catalyst 9300 Series Switches Introducing Cisco Catalyst 9400 Series Switches Introducing Cisco Catalyst 9500 Series Switches Introducing Cisco Catalyst 9600 Series Switches Additional course details: Nexus Humans Cisco Implementing Cisco Catalyst 9000 Switches v4.0 (ENC9K) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Cisco Catalyst 9000 Switches v4.0 (ENC9K) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Network Administrators Administrators interested in Automation Individuals interested in devops, specifically for networking Overview This course teaches students to blend Python skillsets with Ansible through the lens of automating networks. Automation techniques for the most popular vendor (incl. Cisco, Juniper, Arista) will be subjects of study, however, students may request examples from vendors within their own environments. Topics begin with a focus on automating networks with Python; this skill set is then folded into a broadening understanding of automating with Ansible. Students will have programmatic experience automating enterprise class networks by the conclusion of this course (includes writing custom Ansible modules with Python). Class is a combination of lecture, demonstration, and hands-on labs. Students are invited to share their own relevant Python and Ansible scripts with the instructor to ensure class subjects are as relevant as possible. All notes and scripts will be made available to students by the end of each day via a cloud-share or email. Lab time will be given reinforce that day's topics and demonstrations. No two networks are the same! Learn to automate your network with a Python and Ansible skillset. Course can be taught across all major (and most minor) network vendors. Course demonstrations can be adapted to best-fit the customer?s network to ensure all lessons have maximum relevance. Day 1 ? Critical Python Catchup & Review Overview of Python and Ansible Python white space rules & best practices Printing and more Printing Date types and Variables Packing and Unpacking Variables f Strings Conditional expressions Relational and Boolean operators Lists, Tuples, Dictionaries Indexing and slicing Built-in functions Iterating with Loops (for and while) Working with files Software Control Management (SCM) (Git, Github, Bitbucket, Cloudshare, etc.) Using Python to access REST interfaces Working with JSON Python, Ansible and Paramiko Using Paramiko to SSH with keys and passwords RESTful API review API keys Paramiko Review Using Paramiko to SFTP with keys and passwords Day 02 ? Python and Network Automation Introduction to Netmiko (automating routers and switches) Using Netmiko to send commands to / from network devices Working with YAML Converting JSON to YAML with Python Ansible keywords YAML and JSON for data exchange Ansible and YAML Ansible Playbook components Tying together Python and Ansible ? Using Python within Ansible Ansible Network Modules What is new in Ansible (most current updates / release notes) Network Agnostic modules Writing network playbooks Reviewing the construction of network playbooks Writing Ansible playbooks that respond to network failures Day 03 ? Blending Python and Ansible Skillsets Review how to use Python within Ansible Calling Python scripts with Ansible Jinja2 Templating Engine for Python (and Ansible) Using Templates in Ansible playbooks Jinja2 filters, looping, and other useful tricks for automating with Ansible Playbook tagging for selective runs When to use Python and when to use Ansible ?Big Picture? options for using Python & Ansible within your Network Ansible Roles Day 04 ? Customizing Ansible with Python Review ? Running Scripts with Ansible Prompting for Ansible user input Ansible Galaxy & Getting at Roles Writing a custom Ansible Module with Python Ansible ?Engine? vs Ansible ?Tower? ? marketing hype, capabilities, costs, etc. Case Study: Automate your Enterprise Network When to use Python and when to use Ansible Writing your own Ansible modules in Python ?Big Picture? options for using Python & Ansible within your Network Overview ? NETCONF / YANG and what they mean for Python and Ansible Molecule ? Testing your roles Additional course details: Nexus Humans Network Automation with Python and Ansible 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 Network Automation with Python and Ansible 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 The primary audience for this course is as follows: • This course is intended primarily for network administrators, network engineers, network managers and systems engineers who would like to implement BGP. The secondary audience for this course is as follows: • This course is intended for network designers and project managers. The course is also recommended to all individuals preparing for BGP exam. Overview After completing this course the student should be able to: - Describe how to configure, monitor, and troubleshoot basic BGP to enable interdomain routing in a network scenario with multiple domains - Describe how to use BGP policy controls to influence the BGP route selection process in a network scenario In which you must support connections to multiple ISPs - Describe how to use BGP attributes to influence the route selection process in a network scenario where you must support multiple connections - Describe how to successfully connect the customer network to the Internet in a network scenario in which multiple connections must be implemented - Describe how to configure the service provider network to behave as a transit AS in a typical implementation with multiple BGP connections to other autonomous systems - Enable route reflection as possible solution to BGP scaling issues in a typical service provider network with multiple BGP connections to other autonomous systems - Describe the available BGP tools and features to optimize the scalability of the BGP routing protocol in a typical BGP network This covers the theory of BGP, configuration of BGP on Cisco IOS© routers, detailed troubleshooting information, and hands-on exercises that provide learners with the skills that they need to configure and troubleshoot BGP networks in customer environments. BGP Overview Introducing BGP Understanding BGP Path Attributes Establishing BGP Sessions Processing BGP Routes Configuring Basic BGP Monitoring and Troubleshooting BGP Lab 1-1: Initial Lab Setup Lab 1-2: Configuring Basic BGP BGP Transit Autonomous Systems Working with a Transit AS Interacting with IBGP and EBGP in a Transit AS Forwarding Packets in a Transit AS Configuring a Transit AS Monitoring and Troubleshooting IBGP in a Transit AS Lab 2-1: Configuring a Transit AS Route Selection Using Policy Controls Using Multihomed BGP Networks Employing AS-Path Filters Filtering with Prefix-Lists Using Outbound Route Filtering Applying Route-Maps as BGP Filters Implementing Changes in BGP Policy Lab 3-1: Using Multihomed BGP Networks Lab 3-2: Employing AS-Path Filters Lab 3-3: Filtering with Prefix-Lists Lab 3-4: Implementing Changes in BGP Policy Route Selection Using Attributes Influencing BGP Route Selection with Weights Setting BGP Local Preference Using AS-Path Prepending Understanding BGP Multi-Exit Discriminators Addressing BGP Communities Lab 4-1: Influencing BGP Route Selection with Weights Lab 4-2: Setting BGP Local Preference Lab 4-3: Understanding BGP Multi-Exit Discriminators Lab 4-4: Addressing BGP Communities Customer-to-Provider Connectivity with BGP Understanding Customer-to-Provider Connectivity Requirements Implementing Customer Connectivity Using Static Routing Connecting a Multihomed Customer to a Single Service Provider Connecting a Multihomed Customer to Multiple Service Providers Scaling Service Provider Networks Scaling IGP and BGP in Service Provider Networks Introducing Route Reflectors Designing Networks with Route Reflectors Configuring and Monitoring Route Reflectors Introducing Confederations Configuring and Monitoring Confederations Lab 6-1: Introducing Route Reflectors Lab 6-2: Configuring and Monitoring Confederations Optimizing BGP Scalability Improving BGP Convergence Limiting the Number of Prefixes Received from a BGP Neighbor Implementing BGP Peer Groups Using BGP Route Dampening Lab 7-1: Limiting the Number of Prefixes Received from a BGP Neighbor Lab 7-2: Implementing BGP Peer Groups Lab 7-3: Using BGP Route Dampening Additional course details: Nexus Humans Cisco Configuring BGP on Cisco Routers v4.0 (BGP) 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 Configuring BGP on Cisco Routers v4.0 (BGP) 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.