Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: Customers configuring and maintaining CUCM 8.x, 9.x, 10.x, 11.0, or 12.x. PBX System Administrators transitioning to CUCM administration IP networking professionals taking on responsibility for CUCM administration Workers being cross-trained for CUCM administration coverage The secondary audience for this course is as follows: Cisco Unified Communications system channel partners and resellers Overview Upon completing this course, the learner will be able to meet these overall objectives: Demonstrate an overall understanding of the Cisco Unified Communications Manager (CUCM) 12.x (or earlier version) system and its environment Configure CUCM to support IP Phones in multiple locations Configure CUCM to route calls to internal and PSTN destinations Configure User accounts and multi-level administration Understand User Web Page functionality Configure user features, including Hunt Groups, Call Pickup, and Call Park. Understand the capabilities of and demonstrate the Bulk Administration Tool Understand the SMART Licensing model for Cisco Unified Communications Understand and demonstrate the use of the Unified Reporting tool Understand and demonstrate the use of the Dialed Number Analyzer Communications Manager Administration for Version 12.5 (CMA v12.5) is an instructor-led course presented to system administrators and customers involved with the day-to-day operation of the Cisco Unified Communications Manager product. This course introduces you to the CUCM system, the necessary procedures for administering IP Phones and Users, understanding the Dial Plan and implementing Features. In addition to instructor-led lectures and discussions, you will configure CUCM and Cisco IP Phones in the lab, either in a live classroom or WebEx remote classroom environment. While the Cisco Unified Communications Manager software used in the class is version 12.5.1, the course material applies to versions 8.x, 9.x, 10.x, 11.x, or 12.x. The concepts and the lab tasks are the same for most of the Cisco Unified Communications Manager software versions CUCM System Basics Introduction to IP Telephony Traditional Voice vs. IP Telephony Clustering Overview Intra-Cluster Communications CUCM Redundancy Options Deployment Models Campus (Single Site) Deployment Centralized Call Processing Deployment Distributed Call Processing Deployment Clustering over the IP WAN Call Processing Deployment Hybrid Call Processing Deployment Basics of CUCM Configuration Administrative Interfaces Administration and Serviceability Unified Reporting and the Enterprise License Manager Disaster Recovery System and Unified OS Administration Navigation Bar Command Line Interface Server Redundancy: CM Groups CM Group Configuration Date/Time Group Regions and Codecs Locations Device Pool Configuration Service Parameters Configuration Enterprise Parameters Configuration Supporting Phones and Users Configuring CUCM to Support Phones Cisco Unified IP Phone Model Ranges Specialized Cisco IP 89xx and 99xx phones Cisco Jabber Client Phone Button Templates Softkey Template Cisco IP Phone Registration Device Defaults Phone Configuration Manual Phone Configuration Auto-Registration Self-Provisioning Using the Bulk Administration Tool (BAT) Deploying new phones and users Overview of the Auto-Register Phone Tool Configuring CUCM to Support Users Understanding CUCM Users Manual User Creation User Import with BAT Importing Users with LDAP Sync LDAP Authentication Understanding User Administration Configuring User Administration Working with Access Control Groups Assigning End Users to Access Control Groups User Web Pages Understanding the Dial Plan Dial Plan Overview Introduction to the Dial Plan Understanding Dial Plan Components Route Lists, Route Groups and Devices Call Routing Understanding Digit Analysis Basics of Dial Plan Configuration Basics of the Dial Plan Dial Plan Configuration Translation Patterns Route Plan Report Advanced Dial Plan Configuration Understanding Digit Manipulation External Phone Number Masks Transformation Masks Discard Digits Instructions: PreDot Class of Control Overview of Class of Control Partitions and Calling Search Space Traditional vs. Line/Device Approach Configuring Partitions and CSSs Time of Day Routing PLAR Application Forced Authorization Codes CUCM Features Media Resources Overview of Media Resources Conference Bridge Music on Hold Transcoder Annunciator Overview of Media Resource Management Configuring Media Resources User Features Configuring Call Coverage in Cisco Unified Communications Manager Call Coverage in Cisco Unified Communications Manager Hunt Group Overview Hunt Group Configuration Final Forwarding Shared Lines Call Pickup Directed and Group Call Pickup Call Park Lab Outline Configuring the System to Support Cisco IP Phones Creating and Associating Users Configuring Basic Dial Plan Elements Configuring Complex Dial Plan Elements Implementing Class of Control Configuring Media Resources Configuring Hunt Groups and Call Coverage Configuring Call Pickup and Call Park
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.
Duration 5 Days 30 CPD hours Overview Upon completing this course, you will be able to meet the following objectives: SD-WAN Overview Cloud Concepts Cloud Technologies SD-WAN Direct Cloud Access (DCA) SD-WAN SaaS Cloud On-RAMP for IAAS (AWS) Cloud On-RAMP for IAAS (AZURE) Cloud Configuration for GCP Cloud On-RAMP for MULTI-CLOUD Cloud On-RAMP for CO-LOCATIONS This is a 5 day hands-on course on Cisco SD-WAN Cloud Configuration, Monitoring and Troubleshooting. This course provides the student with the knowledge to connect SD-WAN to SaaS Applications, as well as the ability to connect their Branches to AWS, AZURE, GCP Data Centers in the Cloud. Students will also learn how to Configure, Monitor, and Troubleshoot SD-WAN Co-Locations and SD-WAN Multicloud. SD-WAN Overview SD-WAN Controller SD-WAN WAN Edges supported in Cloud Instances Cloud Concepts Cloud Ops vs WAN Ops Cloud Connectivity Cloud Access Control Cloud Network Connectivity Cloud Regions Cloud Availability Zones Virtual Networks Cloud Routing Internet Gateways VS VPN Gateways VPC/VNET: IP Addressing Cloud Network Load Balancing Cloud Peering Cloud Transit Networks Cloud Technologies Azure Azure Basics Resource Groups vNets Availability zones Availability Set Workload and Public IP Network Virtual Appliance Load Balancer User Defined Routes Network Security Group VPN Gateway Express Routes Creating VNET for SDWAN AWS AWS Basics Region VPCs Availability zones Subnets EC2 Instance Elastic IPs Security Groups Internet Gateway NAT Gateway Route Table VPN Gateway Direct Connect Elastic Load Balancer Subscribe to Amazon machine images Setting AWS resource limits AWS Transit Gateways Creating VPC for SDWAN AWS IAM Role AWS Security Groups Service limits AWS SSH key pair Google Cloud GCP Basics Project Region Virtual Private Cloud Availability Zone Subnets Compute Engine Cloud Load Balancer Cloud DNS VPC Routing Cloud VPN & VPC peering VPC Firewall Rules SD-WAN Direct Cloud Access (DCA) DCA Prerequisites DNS on VPN 0 DIA Central Policy Configuration Match Traffic Set QOS Set External Access SD-WAN SaaS Supported Platforms and Versions SaaS Prerequisites DNS on VPN 0 DIA SaaS Access Methods Cloud Access through Direct Internet Access Links Cloud Access through a Gateway Site Hybrid Approach Supported SaaS Applications SaaS Security Options SaaS Configuration Common Scenarios for Using Cloud onRamp for SaaS Specify Office 365 Traffic Category Enable Cloud onRamp for SaaS, Cisco IOS XE SD-WAN Devices Configure Applications for Cloud onRamp for SaaS Using Cisco vManage Configure Sites for Cloud onRamp for SaaS Using Cisco vManage View Details of Monitored Applications Cloud On-RAMP for IAAS (AWS) Prerequisite AWS Configuration Verify prerequisites Configure AWS for Cisco SD-WAN Cloud On-RAMP for AWS Overview Define WAN Edge Type used Define Template Attach Devices to Template Deploy Cloud Onramp AWS IAM Role Select Region Select CPU and Memory Transit Networking IP Addresses Discover and Map Host VPCs AWS to SD-WAN Security Monitor Cisco Cloud Onramp for AWS Troubleshoot Cisco Cloud Onramp for AWS Interconnecting Cisco SD-WAN with AWS Transit Gateway (TGW) Cloud On-RAMP for IAAS (AZURE) Prerequisite AZURE Configuration Cloud On-RAMP for AZURE Configure AWS for Cisco SD-WAN Define WAN Edge Type used Define Template Attach Devices to Template Deploy Cloud Onramp Select Region Discover and Map Host VPCs Monitor Cisco Cloud Onramp for Azure Troubleshoot Cisco Cloud Onramp for AZURE Azure Virtual Wan (VWAN) Integration Cloud Configuration for GCP Prerequisite GCP Configuration SD-WAN Configuration Configure Google Cloud for SD-WAN Google Cloud GCP Basics Deploy cEdge Catalyst 8000V Edges Setup IPSEC Connections Setup BGP Connections Cloud On-RAMP for MULTI-CLOUD AWS Transit Gateway Microsoft vWAN Create Cisco Cloud GW Discover host VPCs/VNets Map Branch nets to VPCs Cloud On-RAMP for CO-LOCATIONS SD-WAN CO-LOCATIONS Overview Colocation facilities Cisco Colocation Equipment Cisco Cloud Services Platform 5444 Cisco Network Function Virtualization Infrastructure Software (NFVIS) Virtual Network Functions Network Fabric Cisco Catalyst 9500-48Y4C switch Cisco Catalyst 9500-40X switch Device Configuration and Connectivity Sizing the Colocation Solution Devices Cisco Colocation Manager Deploy Network Services at the Network Edge Colocation Solution?Deployment Workflow Monitor Cisco SD-WAN Colocation Devices Cisco Colocation Manager States for Switch Configuration Cisco Colocation Manager States and Transitions from Host Cisco Colocation Manager Notifications VM Alarms Cloud Services Platform Real-Time Commands Colocation High Availability Troubleshoot Cisco SD-WAN Cloud onRamp for Colocation Solution Troubleshoot Catalyst 9500 Issues Troubleshoot Cloud Services Platform Issues DHCP IP Address Assignment Troubleshoot Cisco Colo Manager Issues Troubleshoot Service Chain Issues Troubleshoot Physical Network Function Management Issues Log Collection from CSP Troubleshoot vManage Issues Additional course details: Nexus Humans Cisco SD-WAN Cloud (SDWAN-CLD-CT) 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 SD-WAN Cloud (SDWAN-CLD-CT) 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 Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently
Duration 3 Days 18 CPD hours This course is intended for This course is intended for both novice and experienced project managers, managers, schedulers, and other project stake holders who need to incorporate the discipline of project management with Microsoft Project 2016. Overview ?Understand the discipline of project management as it applies to using Microsoft Project 2016.?Create a Work Breakdown Structure.?Identify Task Types & Relationships.?Define Resources within Project.?Make Work Package Estimates.?Create an Initial Schedule.?Create a Resource Leveled Schedule.?Create Projects from templates, Excel files.?Create Global templates.?Create formulas and graphical indicators.?The steps to record a macro.?Format Output and Print Reports.?Integrate Multiple Projects.?Set up a Project with a Calendar, Start date, and scheduling method.?Understand Manually Schedule vs. Auto Schedule.?Manage multiple projects.?Be able to create a master project list with shared resources. The course begins with the basic concepts and leads students through all the functions they?ll need to plan and manage a small to medium-size project, including how to level resources and capture both cost and schedule progress. Introduction to Microsoft Project Describe how Project relates to the discipline of Project management. Learn what the new features are in Project 2016. Navigate to the primary views available using the Ribbon. Choose Views that display task, resource, or assignment information. Select table within views to change the information that is available to see and edit. Relate the features of Project to the 5 steps for building a plan in Project. Lab 1: Introduction to Mastering Microsoft Project A Quick and Easy Overview of Managing with Project Create a new project and prepare it for data entry. Enter project tasks. Sequence the tasks. Define resources. Estimate Task duration and assign resources. Baseline the project. Track project progress. Lab 1: Creating a Basic Project with a template Lab 2: Creating a Basic Project Setting Up a Project Use multiple methods to create a new project from an Excel file and a SharePoint Tasks list. Establish one or more calendars to constrain resource availability. Configure Project to calculate the schedule from the Start Date forward, or from the Finish Date backward. Lab 1: Setting Up a Project Manually Schedule vs. Auto Schedule Students practice switching tasks between Manually Schedule and Auto Schedule modes. By switching modes, students learn the impact made on the project schedule and the individual tasks. Lab 1: Explore Task Modes Creating a Work Breakdown Structure Build and use summary and subordinate tasks. Understand and use milestones. Develop WBS Outlines. Assign completion criteria. Evaluate the WBS. Understand and use WBS templates. Lab 1: Manipulate a WBS Lab 2: Supporting the Project Plan Identifying Task Relationships Understand the different types of task relationships. Understand and use various methods to create relationships. Determine and display task sequence. Understand and use lag, lead, and delay. Understand the new feature of Task Paths. Lab 1: Display the sequence Defining Resources within Project Define resource types. Define individual resources that will be used on the project. Record the cost (s) of using each type of resource. Record the limit of availability for each type of resource by establishing a resource calendar and defining the maximum units of that resource. Lab 1: Resource Calendar and Availability Making Work Package Estimates Enter estimates for duration and costs for each task. Distinguish between task types and describe when each is appropriate. Describe the relationship between work, units, and duration. Describe the way Effort Driven scheduling is affected by work, units, and duration. Assign tasks to resources using the Team Planner view. Lab 1: Work, Duration and Labor Creating an Initial Schedule Calculate float and identify a project?s critical path. Understand and identify task constraints. Create milestones. Use the Task Inspector to troubleshoot the initial schedule. Lab 1: Calculating an Initial schedule Create a Resource Leveled Schedule Adjust a project schedule to account for limited people and other resources. View the overall cost and schedule of a project. Identify resources that have been over allocated for a project schedule. Use multiple ways to adjust tasks and assignments to remove over allocation for any resource. Lab 1: Resource Leveling Managing the Project Learn how to set a baseline. Lean how to enter and track project performance data. Learn how to apply different tracking methods. Learn how to perform a variance analysis on a project. Lab 1: The Baseline Lab 2: Baselining & Tracking Performance Lab 3: Variance Formatting Output and Printing Reports Print Views Formats Sorting Filtering Grouping Custom Fields Reporting Other File Formats Lab 1: Use the Grouping Feature Lab 2: Create Reports in Project Managing Multiple Projects Learn how to use common resources among multiple projects. Learn how to link tasks between multiple projects. Learn how to create a consolidated view of multiple projects. Lab 1: Identifying Over allocated Resources from a Resource Pool and Consolidated File Advanced Topics Learn how to customize the Ribbon and the Quick Access Toolbar. Learn how to customize WBS numbering. Learn the concepts of Formulas and Graphical indicators. Learn the purpose of the Global template and Organizer. Learn how to use Task Deadlines. Learn how to record a Macro. Lab 1: Recording a Macro in Project Summary Learn how to access the Office App Store. Additional course details: Nexus Humans 55205 Mastering Microsoft Project 2016 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 55205 Mastering Microsoft Project 2016 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 Network engineers, technical support personnel, reseller support engineers, and others responsible for implementing and/or maintaining the Juniper Networks products covered in this course. Overview Describe typical uses of static, aggregate, and generated routes. Configure and monitor static, aggregate, and generated routes. Explain the purpose of Martian routes and add new entries to the default list. This two-day course provides students with intermediate routing knowledge and configuration examples. The course includes an overview of protocol independent routing feature. Chapter 1: Course Introduction Course Introduction Chapter 2: Protocol-Independent Routing Static Routes Aggregated Routes Generated Routes Martian Addresses Routing Instances Chapter 3: Load Balancing and Filter-Based Forwarding Overview of Load Balancing Configuring and Monitoring Load Balancing Overview of Filter-Based Forwarding Configuring and Monitoring Filter-Based Forwarding Chapter 4: Open Shortest Path First Overview of OSPF Adjacency Formation and the Designated Router Election OSPF Scalability Configuring and Monitoring OSPF Basic OSPF Troubleshooting Chapter 5: Border Gateway Protocol Overview of BGP BGP Attributes IBGP Versus EBGP Configuring and Monitoring BGP Chapter 6: IP Tunneling Overview of IP Tunneling GRE and IP-IP Tunnels Implementing GRE and IP-IP Tunnels Chapter 7: High Availability Overview of High Availability Networks GR Graceful RE Switchover Nonstop Active Routing BFD VRRP Appendix A
Duration 5 Days 30 CPD hours This course is intended for This is an intermediate course for POWER i administrators, IBM Business Partners, and anyone else who would like practical knowledge of the features and functions supported by BRMS. Overview Describe the major features and functions of BRMS List the steps to install BRMS on a single system or in a BRMS Network environment Implement a previously defined backup and recovery strategy using BRMS Implement a previously defined archival and retrieval plan, including dynamic retrieval, using BRMS Explain how to utilize a tape drive, tape library system, virtual tape, and optical drive with BRMS Implement and use BRMS using the green screen, System i Navigator, and IBM Navigator for i This course covers the features & functions supported by Backup Recovery & Media Services (BRMS). Learn how to perform the supported functions when using a 5250 emulation session, when using System i Navigator, & when using IBM Navigator for i. Overview of BRMS . Installing BRMS . BRMS policies overview . Media devices and encryption using software and hardware . Overview and implementation of virtual tape, DVD, and optical device support . Creating a simple backup control group . BRMS log . Saving IFS data . Working with backup lists . Parallel save, user exits, and save-while-active . Performing a backup and full system backup . Other backup topics i . Storage locations . Containers . Move management . Media class . Media policies . Media topics . BRMS networking . Scheduling BRMS jobs . Daily maintenance . BRMS reports . Recovery . Tape duplication and label print . Functional usage . Archive . Retrievaltion . TSM Client and BRMS on IBM i . BRMS Enterprise . Summary .
Duration 2 Days 12 CPD hours In this course, you will be introduced to Intuit?s cloud accounting software program, QuickBooks Online (QBO). Using a fictitious company called Luxury Lodging, Inc, students will learn how to navigate the QBO interface. We cover basic accounting, how to set up a new company, how to customize the chart of accounts and products and services list. In addition, students will learn how to give other users, such as accountants access to their data. In the sales center chapter, students will learn how to invoice customers and stay on top of accounts receivable balances. In the vendor center chapter, students will learn how to enter bills and expenses from vendors as well as stay on top of the accounts payable balances. The final chapter in the textbook is a final project that encompasses the key topics covered in this course. Course Outline Chapter 1 :Introduction Chapter 2 :An Overview of QBO & Navigation Basics Chapter 3 : Accounting Basics Chapter 4 : Setting up A New Company File Chapter 5 : Managing the Chart of Accounts List Chapter 6 : Managing the Products and Services (Items) List Chapter 7 : Adding and Managing Users Chapter 8 : The Sales Center Chapter 9 : The Vendor Center Chapter 10 : 1099 Tracking and Reporting Chapter 11 : Managing Bank and Credit Card Accounts Chapter 12 : Creating Financial Statement Reports Chapter 13 : Entering Historical Data and Opening Balances Chapter 14 : Putting It All Together Additional course details: Nexus Humans Get Started with QuickBooks Online 2021-2022 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 Get Started with QuickBooks Online 2021-2022 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 This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe mobile network architecture basics List enabling technologies for 5G and describe 5G key use cases Perform basic operations on a Cisco 5G NSA mobile packet core Describe the Cisco 5G Converged SDN Transport Architecture Describe Cisco NFVI and perform basic operations using Cisco ESC and Cisco Virtualized Infrastructure Manager (VIM) Describe Cisco service provider automation and orchestration solutions to deploy and manage 5G network functions Describe the Cisco Ultra Cloud Core architecture and deploy the Cisco SMI Explain the 5G ready distributed Telco DC with Cisco ACI solution Describe the Cisco 5G security architecture The Cisco Service Provider 5G Technologies Foundations (SPMBL100) v1.0 course introduces mobile network components, basic 5G concepts, and features of 5G technology including faster data speeds, higher device capacity, and improved user experience. You will examine the mobile packet core solutions, 5G transport architecture, and Cisco© automation and orchestration tools used in 5G networks. You will also learn about the Cisco 5G Non-standalone (NSA) and the Cisco Ultra Cloud Core 5G standalone (SA) platform solutions, the Cisco 5G converged Software-Defined Networking (SDN) transport architecture, and Cisco edge computing solutions. You will study the Cisco Network Function Virtualization (NFVI) architecture, Cisco Network Services Orchestrator (NSO), and Cisco Elastic Services Controller (ESC). You will learn how 5G is distributed with Telco Data Center (DC) with Cisco Application Centric Infrastructure (Cisco ACI©). And finally, Zero-Touch Provisioning (ZTP), Cisco Crosswork?, and the Cisco 5G security architecture will also be presented. Mobile Network Fundamentals 5G Key Use Cases Examining Mobile Network Components Enabling Technologies for 5G Introduction to 5G NR Characteristics Cloud Radio Access network (RAN) Cisco 5G NSA Solution 5G NSA Basics 5G NSA StarOS Configurations Cisco 5G Converged SDN Transport Architecture Cisco 5G Transport Ready Devices Application Awareness and Network Slicing with Segment Routing Cisco NFV Infrastructure, Cisco Virtualized Network Functions (VNFs), Cisco VIM, and Cisco ESC NFVI and SDN Architecture Overview Cisco VIM Pod Configurations Cisco Service Provider Automation and Orchestration Telemetry Basics ZTP Fundamentals Cisco Ultra Cloud Core Cisco Ultra Cloud Core Basics Kubernetes and Docker Fundamentals 5G Ready Distributed DC with Cisco ACI Cisco ACI in Telco Data Centers 5GC Deployment Mitigating Threats in 5G Introduction to 5G Cybersecurity Risks Mitigating 5G Cybersecurity Risks
Duration 1 Days 6 CPD hours This course is intended for System administrators and security operations personnel, including analysts and managers Overview By the end of the course, you should be able to meet the following objectives: Describe the components and capabilities of VMware Carbon Black Cloud Audit and Remediation Identify the architecture and data flows for Carbon Black Cloud Audit and Remediation communication Describe the use case and functionality of recommended queries Achieve a basic knowledge of SQL Describe the elements of a SQL query Evaluate the filtering options for queries Perform basic SQL queries on endpoints Describe the different response capabilities available from VMware Carbon Black Cloud This course teaches you how to use the VMware Carbon Black© Cloud Audit and Remediation? product to build queries for IT hygiene, incident response, and vulnerability assessment to support your organization?s security posture and policies. This course provides an in-depth, technical understanding of the product through comprehensive coursework and hands-on scenario-based labs. Course Introduction Introductions and course logistics Course objectives Data Flows and Communication Hardware and software requirements Architecture Data flows Query Basics Osquery Available tables Query scope Running versus scheduling Recommended Queries Use cases Inspecting the SQL query SQL Basics Components Tables Select statements Where clause Creating basic queries Filtering Results Where clause Exporting and filtering Basic SQL Queries Query creation Running queries Viewing results Advanced Search Capabilities Advanced SQL options Threat hunting Response Capabilities Using live response Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Carbon Black Cloud Audit and Remediation 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 Carbon Black Cloud Audit and Remediation 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.