31540 FA courses

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 4 Days 24 CPD hours This course is intended for Experienced system administrators, system engineers, and system integrators Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture of VMware Cloud on AWS Prepare and deploy VMware Cloud on AWS SDDC Configure the scale-up and scale-down of a VMware Cloud on AWS SDDC Access a VMware vCenter configuration in VMware Cloud on AWS Configure internal, external, and inter-SDDC networking Configure storage integrations and solutions for VMware Cloud on AWS Configure a connection between an on-premises vSphere SDDC and a VMware Cloud on AWS SDDC Migrate VMs between on-premises vSphere and VMware Cloud on AWS SDDCs Describe lifecycle management, troubleshooting scenarios, and disaster recovery solutions for a VMware Cloud on AWS SDDC Describe how VMware add-on solutions support a VMware Cloud on AWS SDDC This four-day, hands-on training course provides you with the knowledge, skills, and tools for deploying and managing a VMware Cloud? on AWS infrastructure. You will explore the common use cases of the VMware Cloud on AWS infrastructure that allows you to modernize, protect, and scale applications based on VMware vSphere© that leverage AWS.In this course, you are introduced to various rapid and easy migration options for workloads based on vSphere to VMware Cloud on AWS. In addition, you are presented with VMware Cloud Disaster Recovery?, which is a Disaster Recovery as-a-service (DRaaS) solution, with fast recovery capabilities, that can be used to cost-effectively protect a broad set of your virtualized applications. Course Introduction Introductions and course logistics Course objectives Introduction to VMware Cloud on AWS Choosing VMware Cloud on AWS Management and operational structure VMware Cloud on AWS Platform and SDDC Deployment Preparation Getting started with VMware Cloud on AWS Preparing AWS infrastructure for a VMware Cloud on AWS deployment Setting up a VMware on Cloud AWS account Billing and pricing on VMware Cloud services Deploying and Scaling and SDDC Deploying and examining SDDC configurations Sizing the SDDC SDDC cluster management SDDC host management Optimizing and maintaining SDDC Cluster using Elastic DRS for VMware Cloud on AWS Accessing and Analyzing vCenter Configurations Accessing vCenter Server in the Cloud SDDC Analyzing resource management settings in the SDDC Exploring vSphere permissions on VMware Cloud on AWS VMware Tanzu? for VMC on AWS Networking in VMware Cloud on AWS Internal SDDC network Networking and security options SDDC Network Administration with NSX Manager Creating virtual machines in the Cloud SDDC Inter-SDDC networking Storage on VMware Cloud on AWS vSAN storage in VMware Cloud on AWS Attaching external storage to a VM running on an SDDC Working with On-Premises vSphere Hybrid-linked mode Migration solutions for VMware Cloud on AWS VM migration with VMware HCX© Maintaining and Troubleshooting VMware Cloud on AWS Accessing API with VMware Cloud on AWS Maintenance and support Common troubleshooting steps Disaster Recovery Solution Site Recovery add-on service VMware Cloud Disaster Recovery? Using Other VMware Products with the SDDC VMware Aria? Operations for Logs (formerly vRealize Log Insight) VMware Horizon© with VMware Cloud on AWS VMware Aria Automation add-on (formerly vRealize Automation) Using VMware Aria Operations with VMware Cloud on AWS Using VMware Aria Operations for Networks (formerly vRealize Network Insight) with VMware Cloud on AWS Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Cloud on AWS: Design, Configure, Manage 2023 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware Cloud on AWS: Design, Configure, Manage 2023 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 Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

Duration 5 Days 30 CPD hours This course is intended for This intermediate-level course requires students have incoming experience working with Oracle Database 18 or higher. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore: The Oracle Database Architecture Query Optimizer Tuning Container Databases and Pluggable Databases Oracle 19c Tuning features Evaluating Execution Plans Oracle Tuning Tools Using Automatic Workload Repository Join Types AWR Using Baselines Additional AWR performance tools Optimizer Statistics Monitoring a Service Bind Variables and database parameters Oracle's Real Application Testing (RAT) SQL Tuning Advisor Automatic Sql Tuning Sql Plan Management Shared Pool Tuning Tuning the database buffer cache Tuning the PGA (Program Global Area) Automatic Memory Management (AMM) Tuning Segment Space Utilization (ASSM) Automatic Storage Management Oracle 19C Database Tuning is an intermediate level course for Oracle database experienced attendees that explores core tuning skills such as Database parameters, SQL Tuning Advisor, SQL Access Advisor, Adaptive SQL plans and more. Overview Oracle Database Architecture Instance Definition Define SGA Define Background Processes Datafile Definition Query Optimizer SQL Parsing Optimizing Terms Optimizing Methods Query Plan Generation Query Plan Control Tuning Container Databases and Pluggable Databases Pluggable tuning parameters Define Container tuning structure Using PDB$SEED Create a new PDB Plug and unplug a PDB Oracle 12c Tuning features Identifying and Using Oracle's Heat Map 12c Compression Levels and Types Evaluating Execution Plans Defining SQL execution plans Automatic Workload Repository Reading execution plans Oracle Tuning Tools Monitoring tools overview Enterprise Manager Dynamic Performance Views Automatic Workload Repository Automatic Database Diagnostic Monitor Sql Tuning Advisor SQL Access Advisor Sql Access Advisor DB operation Tuning DB operation Active Reporting Using Automatic Workload Repository Defining AWR AWR Settings Creating AWR Baselines Metrics, Alerts, and Thresholds Defining Metrics Setting Alerts Setting Corrective Actions User Defined Metrics Metric Dynamic Views Join Types Nested Loops Join Sort Merge join Hash Join and Cartesian Join Equijoins and Nonequijoins Outer Joins Semijoins AWR Using Baselines Creating AWR baselines Creating AWR Repeating baselines Moving Window Baseline Additional AWR performance tools Automatic Maintenance Tasks Segment Advisor Statistics Gathering Automatic Tuning Optimizer Automatic Database Diagnostic Monitor Active Session History (ASH) Optimizer Statistics Optimizer Statistics Overview Table and Index Statistics Statistic Preferences Statistics Gathering e) Locking Statistics, Export/Import Statistics Pending and published statistics Optimizer Hints Optimizer Paths Cost Base Optimization Monitoring a Service Overview of what is an Oracle Service Creating an Oracle Service for Single instance and RAC Monitoring a Service Resource Management and a Service Enterprise Manager and a Service Bind Variables and database parameters Bind variable definition Cursor_sharing parameter Adaptive Cursor Sharing Oracle's Real Application Testing (RAT) Sql Performance Analyzer overview Sql Performance Analyzer Options Database Parameter changes Database version changes Creating SQL Tuning Sets Database Replay Overview Database Replay Configuration Database Replay Options SQL Tuning Advisor SQL Tuning Advisor: Overview SQL Tuning Advisor Limited Mode Sql Tuning Advisor Comprehensive mode Sql Tuning Profiles SQL Access Advisor SQL Access Advisor: Overview Sql Access Advisor options SQL Access Advisor and Sql Tuning Sets Sql Access Advisor and AWR Results and Implementation Automatic Sql Tuning Automatic Sql Tuning Maintenance Task Automatic Tuning Optimization implementation(ATO) Automatic Tuning Optimization Results Enable/Disable Automatic Tuning Optimization Sql Plan Management Sql plan Management and baseline overview Enable sql plan management Loading Sql Plan baselines into the SGA Adaptive plan management Shared Pool Tuning Shared pool architecture Shared pool parameters Library Cache Dictionary cache Large pool considerations and contents Tuning the database buffer cache Database buffer cache overview Database buffer cache parameters Oracle and Dirty reads and writes Automatic Shared Memory Management (ASMM) Buffer Cache goals and responsibility Buffer Cache pools Tuning the PGA (Program Global Area) PGA Overview PGA Database Parameters Temporary Segments Temporary Tablespace Sizing the PGA Automatic Memory Management (AMM) Oracle's Automatic Memory Management Overview Database Auto-tuned Parameters Database Non Auto-tuned Parameters Automatic Memory Management Hints and Sizing suggestions AMM versus ASMM Tuning Segment Space Utilization (ASSM) Overview of Automatic Segment Space Management Defining the DB_BLOCK_SIZE Defining DB_nk_CACHE_SIZE parameter The DB_BLOCK_SIZE Parameter Overview of table compression, block chaining, and block migration Automatic Storage Management Overview of ASM Definition of Grid Infrastructure ASM Instance ASM Diskgroups ASM Diskgroup parameters and templates ASMCMD

Duration 5 Days 30 CPD hours This course is intended for This course is for all Oracle Professionals. Specifically Database Administrators, Web Server Administrators, System Administrators, CIOs and other IT Management Professionals. Overview Upon successful completion of this course, students will be able to perform many of the day-to-day administration tasks required of an Oracle database administrator. This course introduces many of the powerful capabilities of the Oracle database. In this course, students will learn about day-to-day administration tasks. It will also address administration sub-specialties. Introduction: Managing the Database Instance The Database Management Tools EM Database Express EM Cloud Control SQL Developer Database Administrator Introduction: Database Architecture Review Database Instance Configurations Memory Structures Process Structures Storage Architecture Introduction: Starting & Stopping Databse Services Start & Stop the Database Listener ABOUT DATABASE STARTUP/SHUTDOWN SYSOPER SYSDBA DATABASE STATE & STAGES STARTUP WITH EM CLOUD CONTROL STARTUP WITH SQL*PLUS SHUTDOWN WITH EM CLOUD CONTROL SHUTDOWN WITH SQL*PLUS USING MS WINDOWS SERVICES Introduction: Oracle Network Environment Oracle Net Services Architecture ORACLE NET CONFIGURATION ASSISTANT ORACLE NET MANAGER USING EM CLOUD CONTROL ADVANCED NETWORK COMPRESSION TROUBLESHOOTING NETWORK PROBLEMS Introduction: Diagnostics & Oracle Support About Database Diagnostics Fault Diagnosability Infrastructure DATABASE INSTANCE HEALTH SNAPSHOT THE SUPPORT WORKBENCH PROACTIVE DATABASE HEALTH CHECKS PACKAGE DIAGNOSTIC DATA WORKING WITH THE KNOWLEDGE BASE Storage: Tablespace Management Starter Tablespaces CREATE TABLESPACE WITH EM CC CREATE TABLESPACE WITH SQL MANAGE TABLESPACES WITH EM CC MANAGE TABLESPACES WITH EM DE MANAGE TABLESPACES WITH SQL DROP TABLESPACE ALTER TABLESPACE Storage: Advanced Tablespace Management Managing Temporary Tablespaces TEMP TABLESPACE GROUPS WITH EM TEMP TABLESPACE GROUPS WITH SQL DEFAULT PERMANENT TABLESPACES BIGFILE TABLESPACES MANAGING THE SYSAUX TABLESPACE Storage: Data Files & Temp Files Management Manage Data Files with EM ACCESS METADATA WITH SQL MANAGE DATA FILES WITH SQL MANAGE TEMP FILES ORACLE-MANAGED FILES (OMF) Storage: UNDO Data & UNDO Tablespaces About UNDO Space Management GUARANTEE UNDO RETENTION MONITOR UNDO SPACE WITH SQL USE THE EM UNDO ADVISOR Security & Schemas: Security Overview & Database Privileges Database Security Principles DATABASE SYSTEM PRIVILEGES DATABASE OBJECT PRIVILEGES SUPER ADMINISTRATOR ROLES PRIVILEGE ANALYSIS Security & Schemas: User Security Create & Manage User Accounts MANAGE USERS WITH EM MANAGE USERS WITH SQL CREATE USER ALTER USER DROP USER GRANT & REVOKE PRIVILEGES RESOURCE LIMITS VIA PROFILES ALTER PROFILE DROP PROFILE PASSWORD MANAGEMENT VIA PROFILES ROLE-BASED SECURITY MANAGEMENT ALTER USER...DEFAULT ROLE SET ROLE DELEGATING PRIVILEGE AUTHORIZATION WITH ADMIN OPTION & System Privileges WITH GRANT OPTION & Object Privileges PRINCIPLE OF LEAST PRIVILEGE CHECKLIST Security & Schemas: Database Auditing Auditing Database Activity Traditional Auditing Unified Auditing Create Audit Policy Security & Schemas: SQL Loader Loader Concepts Loader From the Command Line control File Options Load Methods Loader Express Mode Loader From EM Security & Schemas: Export & Import Manage Directory Objects The Data Pump Architecture Data Pump Export Data Pump Import Data Pump Dictionary Views Using the EM CC Interface Performance & Availability: Managing Performance & SQL Tuning Management Advisory Framework Performance Monitoring & AWR The SQL Tuning Advisor Monitoring Exceptions with Metrics Performance & Availability: Data Concurrency About System & User Locks Monitor & Manage User Locks Moitor Locks with Data Dictionary Manage Locks with EM Performance & Availability: Backup & Recovery Concepts Backup & Recovery Structures Managing REDO Data Configuring for Recoverability Instance Recovery Recoverability Checklist Additional course details: Nexus Humans Oracle 12c Administration II 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 Oracle 12c Administration II 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 Cisco integrators and partners Network operators Network administrators Optical network administrators System administrators System integrators and professional services Overview After taking this course, you should be able to: Describe Cisco EPN Manager's features and navigate the Cisco EPN Manager's user interface Understand the network inventory, topologies, and circuits Manage dashboards, alarms, and events Create and interpret reports Distinguish the system requirements for Cisco EPN Manager, and procedures for new installations, upgrades, licensing, and high availability Manage device groups and virtual domains Establish user accounts and their role-based access to EPN Manager's features and devices Configure and combine devices Perform backups and restores Manage data retention, purging, and software updates Monitor system health and performance Update and manage software images Archive, review, and restore configuration files Configure Quality of Service (QoS) actions and policies Configure devices using templates Perform compliance audits Configure monitoring policies Provision Carrier Ethernet services Provision Multiprotocol Label Switching (MPLS) Traffic Engineering (TE) services Provision Circuit Emulation (CEM) services Provision an Optical Channel Network Connection (OCHNC) circuit Provision an Optical Channel Client Connection (OCHCC) circuit Provision an optical Media Channel Group with an OCHCC circuit Describe how Cisco EPN Manager can work with Cisco Network Services Orchestrator (NSO) to provide automated service provisioning The Configuring and Operating Cisco EPN Manager (EPNM100) v4.0 course shows you how to create efficient and agile network management through automated device operations, fast provisioning install, network configuration, dashboard management, and device management using Cisco¸ Evolved Programmable Network (EPN) Manager. Through a combination of lessons and hands-on labs, you will learn to maximize the benefits of the Cisco EPN Manager as a simplified, flexible, and cost-effective end-to-end lifecycle management solution for network provisioning, and network assurance management for today?s converging packet and optical multilayer networks. Exploring Cisco EPN Manager Cisco EPN Manager Overview Cisco EPN Manager Key Features Viewing Devices and Inventory Device Types View Devices Viewing Network Topologies and Circuits Topology Map Basics Change Information Displayed Using Dashboards Dashboards Overview Customize Dashboards Managing Alarms and Events Alarms and Events Overview View Alarms and Events Generating Reports Report Fundamentals Create and Schedule Reports Performing Basic Administration Installation Basics Perform Server Setup Adding Devices Device Management Fundamentals Add a Device Manually Add User-Defined Fields Backup and Restoring Backup Fundamentals Schedule a Backup Performing System Maintenance Software Updates Data Retention and Purging Software Image Management (SWIM) Software Image Management Fundamentals Setting Up Software Image Management Configuration Management Configuration Management Fundamentals Archive Setup Configuring QoS QoS Basics Create a Classification Profile Configuring Devices with Templates Device Configuration Methods Template Basics Performing Compliance Management Compliance Audit Basics Compliance Policy Basics Monitoring with Policies Monitoring Policy Fundamentals Edit a Monitoring Policy Circuit and Video Conferencing (VC) Fundamentals Circuit Provisioning Basics Supported Service Types Provisioning Carrier Ethernet Services Provision a Carrier Ethernet Service Verify a Service Provisioning Cisco MPLS Traffic Engineering Services Cisco MPLS TE Service Basics Provision a Cisco MPLS TE Service Provisioning Circuit Emulation Services Circuit Emulation Services Basics Provision a CEM Service Provisioning an OCHNC Circuit OCHNC Circuit Basics Set Up Devices for Circuit Provisioning an Optical OCHCC Circuit OCHCC Circuit Basics Set Up Devices for Circuit Provisioning a Media Channel Group with an OCHCC Circuit Media Channel Group with OCHCC Basics Provision a Media Channel Group Introducing Cisco EPN Manager with Cisco NSO Cisco EPN Manager with Cisco NSO Basics For More Information Additional course details: Nexus Humans Cisco Configuring and Operating Cisco EPN Manager v4.0 (EPNM100) 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 and Operating Cisco EPN Manager v4.0 (EPNM100) 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 2 Days 12 CPD hours This course is intended for This program is designed for students who have attended successfully the IJOS and JRE courses (prior to April 1, 2017) or the IJOS course (since April 3, 2017) and are working toward JNCIA-JUNOS certification. Overview The objectives for this course follow the requirements for the current JNCIA-JUNOS. At the end of this course, the successful student will be able to: Identify the concepts and functionality of various fundamental elements of networking Identify the concepts, benefits and functionality of the core elements of the Junos OS Identify the concepts, operation and functionality of the Junos user interfaces Identify the main elements for configuring Junos devices Describe how to configure basic components of a Junos device Identify methods of monitoring and maintaining Junos devices Describe monitoring and maintenance procedures for a Junos device Identify basic routing concepts and functionality for Junos devices Describe how to configure and monitor basic routing elements for a Junos device Identify the concepts and functionality of routing policy and firewall filters on Junos devices Describe how to configure and monitor routing policies and firewall filters on a Junos device Apply knowledge of Junos operating system configuration, operations, and functionality to real-world scenarios This intense, two-day program is designed to prepare attendees who have previously taken the Introduction to the Junos Operating System (IJOS) course for taking the certification exam while simultaneously gaining insight into real-world applications Session 1: Practice Labs Guided practice labs to reintroduce the lab environment Session 2: Real-World Scenario Labs Labs that emulate real-world application of JNCIA-level knowledge, configurations, operations, and functionality. These labs will challenge students to complete scenario-based problems to accomplish specific network goals. Session 3: Networking Fundamentals Collision domains and broadcast domains Function of routers and switches Optical network fundamentals ? SONET/SDH, OTN Ethernet networks Layer 2 addressing, including address resolution IPv4 and IPv6 fundamentals Layer 3 / IP addressing, including subnet masks Subnetting and supernetting Decimal to binary conversion Longest match routing Connection-oriented vs. connectionless protocols Session 4: Junos OS Fundamentals Junos device portfolio ? product families, general functionality Software architecture Control and forwarding planes Routing Engine and Packet Forwarding Engine Protocol daemons Transit traffic processing Exception traffic Session 5: User Interfaces CLI functionality CLI modes CLI navigation CLI Help Filtering output Active vs. candidate configuration Reverting to previous configurations Modifying, managing, and saving configuration files Viewing, comparing, and loading configuration files J-Web ? core/common functionality Session 6: Junos Configuration Basics Initial configuration User accounts Login classes User authentication methods Interface types and properties Configuration groups Additional initial configuration elements ? NTP, SNMP, syslog, etc. Configuration archival Logging and tracing Rescue configuration Session 7: Operational Monitoring and Maintenance Show commands Monitor commands Interface statistics and errors Network tools ? ping, traceroute, telnet, SSH, etc. Real-time performance monitoring (RPM) Junos OS installation Software upgrades Powering on and shutting down Junos devices Root password recovery Session 8: Routing Fundamentals Packet forwarding concepts Routing tables Routing vs. forwarding tables Route preference Routing instances Static routing Advantages of / use cases for dynamic routing protocols Session 9: Routing Policy and Firewall Filters Default routing policies Import and export policies Routing policy flow Effect of policies on routes and routing tables Policy structure and terms Policy match criteria, match types, and actions Firewall filter concepts Firewall filter concepts Filter match criteria and actions Effect of filters on packets Unicast reverse-path-forwarding (RPF) Session 10: JNCIA-JUNOS Certification Exam The exam voucher is included in the price of the course DWWTC is a certified PearsonVUE Testing Center' Additional course details: Nexus Humans JNCIA Practicum and Exam Preparation training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the JNCIA Practicum and Exam Preparation course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Phone Network Administrators Phone Network Engineers Data System Administrators Entry-level Network Engineers Channel Partners/Resellers, Customers, Employees Overview Describe the Cisco Unified Communications Manager network, service, and features Understand the importance of and configuration of redundancy and high availability in the enterprise network Describe user configuration and the user web interface Explain basic phone options and the use of BAT Explain the route plan and on-net/off-net calling Describe the various media resources, including conferencing and MOH Describe the basic phone features and use of hunt groups Administering Cisco Unified Communications Manager (ACUCM) v12.0 is a 3-day training program that provides system administrators and networking professionals with an understanding of the Cisco Unified Communications Manager System. The Cisco IT training course teaches the concepts of IP telephony based in system administration, including its function, features, and configuration. This is an entry-level IP telephony course that begins with the basic concepts of IP telephony and very quickly moves the learner forward into an understanding of system concepts: clustering, creation of phones and users, route plans, digit manipulation, media resources, and phone features, which are all important to supporting IP telephony in the enterprise network. The course focuses on Cisco Unified Communications Manager version v12.x.The course is geared to individuals that will be using and managing the system and performing administration for Level 1 and Level 2 support. Level 1 support is geared toward supporting phone users and making moves, adds, and changes to the desktop phone environment. Level 2 support is oriented to supporting changes in the organization, such as opening new office locations or relocating departments. The Cisco training course does not cover issues of initial deployment, new cluster deployment or international deployments. Also, the course does not cover issues with the underlying network that involves routers, switches, or Cisco IOS software configuration. Exploring IP Telephone Traditional Voice versus IP Telephony Clustering Overview Intracluster Communications Cisco Unified Communications Manager Clusters Clustering Options Platform Requirements Describing Deployment Models Single-Site Deployment Centralized Call-Processing Deployment Distributed Call-Processing Deployment Distributed Single-Cluster Call-Processing Deployment Hybrid Call-Processing Deployment New Advanced Multicluster Options Understanding Advanced Multisite Features Need for CAC Deploying AAR Survivable Remote Site Telephony SRST Failover Logging in to Cisco Unified Communications Manager Logging In to Cisco Unified CM Administration and Cisco Unified Serviceability Logging In to Cisco Unified Operating System Administration and the DRS Navigation Menu Command-Line Interface Examining Basic Server Configuration Server Configuration?Eliminating DNS Reliance Configuring Enterprise Parameters Describing Multilevel Administration Configuring Multilevel Administration Creating End Users Creating Roles Creating User Groups Assigning Users to User Groups Configuring DRS Backup and Restore Procedures DRS Backup Procedures DRS Restore Procedures Understanding User Configuration Understanding User Management Configuring Users Using the User Web Pages Understanding the User Web Pages Using the User Web Pages Configuring System Parameter Cisco Unified CM Configuration Cisco Unified Communications Manager Group Configuration Phone NTP Configuration Date/Time Group Codecs and Regions Location Configuration Device Pool Configuration DHCP Service Configuration Device Defaults Configuration Clusterwide Parameters Licensing Supporting Cisco Unified IP Phones Cisco Unified IP Phones Overview Specialized Cisco Unified IP 7900 Series Phones Phone Button Templates Softkey Templates Exploring Phone Registration and IP Phone Communications Cisco Unified IP Phone Registration Cisco Unified IP Phone Configuration Utilizing the Bulk Administration Tool (BAT) Overview of Cisco Unified Communications Manager BAT Cisco Unified Communications Manager TAPS Implementing Dial Plan Connectivity Organizational Dial Plan Trunks Gateways Creating Route Plans Dial Plan Overview Route Pattern Overview Digit Collection Call Routing Configuring Transition Patterns and Route Filters Translation Patterns The 9.@ Pattern Route Filters Implementing Digit Manipulation Discard Digits Instruction Transformation Masks Route Plan Report Defining Class of Control Overview of Class of Control Partitions CSS Configuration PLAR Application Using Class of Control Features Call Restriction Time of Day Routing Traditional vs. Line/Device Approach Defining Media Resources Overview of Media Resources Conference Bridge Media Termination Points Transcoder Music on Hold Annunciator Exploring Media Resource Management MRG Management Configuring MRGs Configuring MRGLs Describing Basic Features Call Park Call Pickup Cisco Call Back Shared Lines with Barge and Privacy Exploring Hunt Groups Hunt Group Overview Line Group Configuration Hunt List Configuration Hunt Pilot Configuration Final Forwarding Describing Phone Services Cisco IP Phone Services Cisco Phone Services Configuration

Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm