18937 Courses

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 3.75 Days 22.5 CPD hours This course is intended for New systems administrators Overview When you complete this course, you will be able to:Customize your application, including page layouts, fields, tabs, and business processes in Lightning Experience.Learn how security settings created in Salesforce Classic are applied in Lightning.Maintain and import clean data in Lightning.Use Lightning features to create high-value reports and dashboards.Understand how workflow automation complies with Lightning This course is the core training that ensures your success with Salesforce Lightning. It?s a must for new administrators, and we recommend completing this course before starting a Salesforce deployment or when taking over an existing deployment. Getting Around the App Data Model and Navigation Lightning Experience Help & Training Getting Your Organization Ready for Users Setting Up the Company Profile Configuring the User Interface Setting Up Activities and Calendars Configuring Search Settings Setting Up Chatter Groups Mobile Access with Salesforce1 Setting Up & Managing Users Managing User Profiles Managing Users Setting Up Chatter Free Users and Invites Troubleshooting Login Issues Security & Data Access Restricting Logins Determining Object Access Setting Up Record Access Creating a Role Hierarchy Dealing with Record Access Exceptions Managing Field-level Security Object Customizations Administering Standard Fields Creating New Custom Fields Creating Selection Fields: Picklists and Lookups Creating Formula Fields Working with Page Layouts Working with Record Types and Business Processes Maintaining Data Quality Managing Data Import Wizards Data Loader Data.com Mass Transfer Backing Up Data Mass Delete and Recycle Bin Reports & Dashboards Running and Modifying Reports Creating New Reports with the Report Builder Working with Report Filters Summarizing with Formulas and Visual Summaries Printing, Exporting, and Emailing Reports Building Dashboards Automation Email Templates Workflow Rules Process Builder Lead Automation Managing the Support Process Managing and Resolving Cases Customizing a Support Process Automating Support Understanding the Salesforce Console for Service Collaborating in the Service Cloud Analyzing Support Data Additional course details: Nexus Humans Salesforce Administration Essentials for New Admins in Lightning Experience (ADX201) 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 Salesforce Administration Essentials for New Admins in Lightning Experience (ADX201) 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 best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Duration 3 Days 18 CPD hours This course is intended for Analyst End User Implementer Manager Overview Create a Work Breakdown Structure Define roles and resources Assign roles Assign resources Analyze resources Optimize the project plan Understand data structures Create a project Add activities View calendars Create relationships Schedule the project Assign constraints Create reports Format schedule data Execute the project Enrolling in this course will help you understand P6 Professional's basic features and functionality so you can apply them to your organization's project management processes. You'll also learn how to manage projects on time and within budget Understanding P6 Data Describing Enterprise and Project-Specific data Logging In Opening an Existing Project Opening and Customizing Layouts Enterprise Project Structure Describing Components of EPS Creating a Project Create a project Navigating in the Projects Window Viewing Project Details Creating a Work Breakdown Structure Defining a Work Breakdown Structure Creating the WBS Hierarchy Adding Activities Describing an Activity and its Components Describing Activity Types Adding Activities Adding a Notebook Topic Adding Steps to an Activity Assigning Activity Codes Creating Relationships Viewing a Network Logic Diagram Relationship Types Creating Relationships Scheduling Performing a Forward and Backward Pass Describing Float Assigning Constraints Applying an Overall Deadline to a Project Apply a Constraint to an Activity Using Reflection Projects Creating a Reflection Project Merging Changes Formatting Schedule Data Grouping Activities Sorting Filtering Roles and Resources Describing Roles and Resources Viewing Dictionaries Assigning Roles Assigning Roles to an Activity Assign Rates on Roles Assigning Resources Assigning Resources Adjusting Budgeted Units/Time Analyzing Resources Displaying the Resource Usage Profile Optimizing the Project Plan Analyzing Schedule Dates Shortening a Project Schedule Analyzing Resource Availability Baselining the Project Plan Creating a Baseline Plan Display Baseline Bars on the Gantt Chart Project Execution and Control Describing Methods for Updating the Schedule Using Progress Spotlight Statusing Activities Rescheduling the Project Reporting Performance Describing Reporting Methods Running a Schedule Report Creating a report with the Report Wizard Additional course details: Nexus Humans Primavera P6 Professional Fundamentals Rel 19 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 Primavera P6 Professional Fundamentals Rel 19 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for students who have a foundational working knowledge of PowerPoint, who wish to take advantage of the application's higher-level usability, security, collaboration, and distribution functionality. Overview In this course, you will use the advanced tools and features in PowerPoint to create and deliver engaging presentations.You will: Customize design templates. Add tables. Add charts. Work with media. Build advanced transitions and animations. Collaborate on a presentation. Customize the delivery of a presentation. Modify presentation navigation. Secure and distribute a presentation. Meetings, instruction, training, pitches; these are all a part of our daily lives. We are often called upon to deliver presentations with little notice, at multiple venues, and with varying requirements. And, some of these presentations include sensitive information that needs to be guarded. Given all the variables, it may seem an overwhelming task to deliver your content, on time, to all audiences, and to only those who need to see it. Oh, and by the way, you need to make it interesting, informative, and memorable. So, how do you do it? Without the help of a robust set of tools, it would be nearly impossible. But Microsoft© PowerPoint© provides you with a variety of such tools that can help you deliver content in nearly any situation, while saving time and effort. By taking advantage of these tools, you will be creating presentations that not only stand out from the crowd, but also don't consume all of your available time. Note: Most Office users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will also enable you to access and effectively utilize many web-based resources provided with your Microsoft 365? subscription. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version. This course may be a useful component in your preparation for the PowerPoint Associate (Microsoft 365 Apps and Office 2019): Exam MO-300 certification exam. Lesson 1: Customizing Design Templates Topic A: Modify Slide Masters and Slide Layouts Topic B: Modify the Notes Master and the Handout Master Topic C: Add Headers and Footers Lesson 2: Adding Tables Topic A: Create a Table Topic B: Format a Table Topic C: Insert a Table from Other Office Applications Lesson 3: Adding Charts Topic A: Create a Chart Topic B: Format a Chart Topic C: Insert a Chart from Microsoft Excel Lesson 4: Working with Media Topic A: Add Audio to a Presentation Topic B: Add Video to a Presentation Topic C: Add a Screen Recording Lesson 5: Building Advanced Transitions and Animations Topic A: Use the Morph Transition Topic B: Customize Animations Lesson 6: Collaborating on a Presentation Topic A: Review a Presentation Topic B: Co-author a Presentation Lesson 7: Customizing Presentation Delivery Topic A: Enhance a Live Presentation Topic B: Record a Presentation Topic C: Set Up a Slide Show Lesson 8: Modifying Presentation Navigation Topic A: Divide a Presentation into Sections Topic B: Add Links Topic C: Create a Custom Slide Show Lesson 9: Securing and Distributing a Presentation Topic A: Secure a Presentation Topic B: Create a Video or a CD

Duration 0.75 Days 4.5 CPD hours This course is intended for Making Microsoft Word documents accessible. Overview Please refer to Overview. During this course students will interact with a variety of Word documents and review components that would render the document inaccessible. Students will enable the Accessibility Checker and the Speak feature and progress through the processes and procedures to meet the AODA mandate. Students will ultimately create an accessible set of styles and use those styles within the document. Adding the Accessibility Checker and the Speak feature Discussions will follow as to the limitations of the checker When the checker won?t run Document Metadata Students will review where and why to add metadata to a Word Document Setting the application language and setting the document language Setting the document title Adding the Author and subject metadata fields Creating Accessible Paragraphs and Columns Students will see the perils of incorrect use of hard returns and text boxes within a document Exercises will have students work with paragraph formatting and column formatting for accessibility Creating Accessible Tables Students will interact with tables that are poorly designed and restricted them to still maintain content but that are now accessible Discussions will surround, changes to how tables are handled when sending to PDF Accessible Imagery Students will discuss the need to images with a document The Alternate text feature will be used and the rationale for adding specific types of descriptions Students will see and understand the rationale for ?in-line- imagery Styles for Navigation Students will use and modify the built-in styles feature of Microsoft Word and create a table of contents Students will see with the use of the navigation pane, how styles impact accessibility Students will also understand the importance of proper styles nesting Headers, Footers and Footnotes Students will discuss and then implement accessible headers and footers Students will discuss footnotes and alternative methods to provide footnotes Verifying Reading Order Students will ?listen? to their documents using the Speak feature Students will enable the selection pane as an accessibility tools and discuss its limitations Creating an Accessible Style Template Students will create several accessible styles including headings and paragraphs Students will save the style within a template Additional course details: Nexus Humans Accessible Documents 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 Accessible Documents course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Duration 5 Days 30 CPD hours This course is intended for Network engineers and technicians that are working in the enterprise sector. Overview - Describe the factors that led to the development of IPv6 and possible uses of this new IP structure - Describe the structure of the IPv6 address format, how IPv6 interacts with data link layer technologies, and how IPv6 is supported in Cisco IOS Software - Implement IPv6 services and applications - Understand the updates to IPv4 routing protocols needed to support IPv6 topologies - Understand multicast concepts and IPv6 multicast specifics - Evaluate the scenario and desired outcome and identify the best transition mechanism for the situation - Describe security issues, how security for IPv6 is different than for IPv4, and emerging practices for IPv6-enabled networks - Describe the standards bodies that define IPv6 address allocation, in addition to one of the leading IPv6 deployment issuesâ€'multihoming - Describe the deployment strategies that service providers might consider when deploying IPv6 - Describe case studies for enterprise, service provider, and branch networks This course is a five-day course aimed at providing network engineers and technicians that are working in the enterprise sector with the knowledge and skills that are needed to study and configure Cisco IOS Software IPv6 features. Introduction to IPv6 Explaining the Rationale for IPv6 Evaluating IPv6 Features and Benefits Understanding Market Drivers IPv6 Operations Understanding the IPv6 Addressing Architecture Describing the IPv6 Header Format Enabling IPv6 on Hosts Enabling IPv6 on Cisco Routers Using ICMPv6 and Neighbor Discovery IPv6 Services IPv6 Mobility Describing DNS in an IPv6 Environment Understanding DHCPv6 Operations Understanding QoS Support in an IPv6 Environment Using Cisco IOS Software Features IPv6-Enabled Routing Protocols Routing with RIPng Examining OSPFv3 Examining Integrated IS-IS Examining EIGRP for IPv6 Understanding MP-BGP Configuring IPv6 Policy-Based Routing Configuring FHRP for IPv6 Configuring Route Redistribution IPv6 Multicast Services Implementing Multicast in an IPv6 Network Using IPv6 MLD IPv6 Transition Mechanisms Implementing Dual-Stack Describing IPv6 Tunneling Mechanisms IPv6 Security Configuring IPv6 ACLs Using IPsec, IKE, and VPNs Discussing Security Issues in an IPv6 Transition Environment Understanding IPv6 Security Practices Configuring Cisco IOS Firewall for IPv6 Deploying IPv6 Examining IPv6 Address Allocation Understanding the IPv6 Multihoming Issue Identifying IPv6 Enterprise Deployment Strategies IPv6 and Service Providers Identifying IPv6 Service Provider Deployment Understanding Support for IPv6 in MPLS Understanding 6VPE Understanding IPv6 Broadband Access Services IPv6 Case Studies Planning and Implementing IPv6 in Enterprise Networks Planning and Implementing IPv6 in Service Provider Networks Planning and Implementing IPv6 in Branch Networks Lab Exercises Lab 2-1: Enabling IPv6 on Hosts Lab 2-2: Using Neighbor Discovery Lab 3-1: Using Prefix Delegation Lab 4-1: Routing with OSPFv3 Lab 4-2: Routing with IS-IS Lab 4-3: Routing with EIGRP Lab 4-4: Routing with BGP and MP-BGP Lab 5-1: Multicasting Lab 6-1: Implementing Tunnels for IPv6 Lab 7-1: Configuring Advanced ACLs Lab 7-2: Implementing IPsec and IKE Lab 7-3: Configuring Cisco IOS Firewall Lab 9-1: Configuring 6PE and 6VPE Configuration Files Summary Lab Activity Solutions Teardown and Restoration Additional course details: Nexus Humans Cisco IPv6 Fundamentals, Design and Deployment 3.0 (IP6FD) 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 IPv6 Fundamentals, Design and Deployment 3.0 (IP6FD) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for System administrators and system integrators responsible for designing, implementing, and managing VMware Aria Automation Overview By the end of the course, you should be able to meet the following objectives: Describe the VMware Aria Automation architecture and use cases in cloud environments Describe the key services of VMware Cloud Automation Services™ Manage VMware Aria Automation entities on VMware and third-party virtual and cloud infrastructures Install VMware Aria Automation with VMware Aria Suite Lifecycle Configure and manage cloud accounts, projects, flavor mappings, image mappings, network profiles, storage profiles, volumes, tags, and services Create, modify, manage, and deploy VMware Aria Automation Templates Customize services and virtual machines with cloudConfig and cloudbase-init Configure and manage VMware Aria Automation Consumption Configure and manage ABX actions, custom properties, event broker subscriptions, and VMware Aria Automation Orchestrator workflows Connect to a Kubernetes cluster and manage namespaces Use VMware Aria Automation Config to configure and deploy systems Use logs and CLI commands to monitor and troubleshoot VMware Aria Automation During this five-day course, you focus on installing, configuring, and managing VMware Aria Automation 8.10? on-premises systems. You learn how it can be used to automate the delivery of virtual machines, applications, and personalized IT services across different data centers and hybrid cloud environments. The course covers how VMware Aria Automation Consumption? can aggregate content in native formats from multiple clouds and platforms into a common catalog.This course also covers interfacing VMware Aria Automation with other systems using VMware Aria Orchestrator and how to use VMware Aria Automation to manage Kubernetes systems and leverage other systems. In this course, you will use VMware Aria Automation Config? as a configuration management tool. Course Introduction Introductions and course logistics Course objectives VMware Aria Automation Overview and Architecture Describe the purpose and functionality of VMware Aria Automation Identify the key services offered by VMware Aria Automation Describe the VMware Aria Automation architecture Describe the use of VMware Workspace ONE Access? Describe the relationship between Kubernetes clusters, container, and VMware Aria Automation services Installing VMware Aria Automation List the different VMware Aria Automation deployment types Describe the purpose of Easy Installer Describe the VMware Aria Automation installation process Authentication and Authorization Identify the steps to integrating Workspace ONE© Access with Active Directory Describe the features of Workspace ONE Access Describe the user roles available in VMware Aria Automation Identify the key tasks performed by each user role Define custom roles Configure branding and multitenancy Basic Initial Configuration Create a basic configuration with a cloud account, cloud zone, project, flavor mapping, and image mapping VMware Aria Automation Templates Configure and deploy a basic VMware Aria Automation template Create a VMware Aria Automation template that can run on any cloud Use cloudConfig and cloudbase-init to run commands, create users, and install software Use YAML for inputs, variables, and conditional deployments Tags Configure tags Describe functions of tags Manage tags Storage Configuration Configure storage profiles Use tags and storage profiles Integrating NSX With VMware Aria Automation List the capabilities and use cases of VMware NSX© Describe the NSX architecture and components Integrate NSX with VMware Aria Automation List the supported network profiles in VMware Aria Automation Use the NSX components to design a multitier application with VMware Aria Automation Templates Identify the network and security options available in design canvas Create and manage on-demand networks and security groups Configure NSX Day 2 actions Integrating with Public Clouds Configure and use VMware Cloud Foundation? accounts Integrate VMware Cloud Director? account Configure and use an AWS cloud account Configure and use an Azure cloud account Configure and use a Google Cloud Platform cloud account Integrate VMware Cloud on AWS cloud account Using VMware Aria Automation Consumption Release a VMware Aria Automation template Define content source and content sharing Define VMware Aria Automation policy enforcement Use custom forms for catalog items VMware Aria Automation Extensibility Describe VMware Aria Automation extensibility Use event topics Create a subscription Call a VMware Aria Automation Orchestrator workflow Create ABX actions Using Kubernetes Clusters Introduction to Kubernetes Connect to an existing Kubernetes Cluster Create a VMware Aria Automation template with Kubernetes components Using VMware Aria Automation Config for Configuration Management Describe VMware Aria Automation Config Use VMware Aria Automation Config for software deployment Use VMware Aria Automation Config for configuration management Use VMware Aria Automation Config with event-driven orchestration VMware Aria Automation Troubleshooting and Integration Demonstrate how to monitor deployment history Demonstrate basic troubleshooting Execute CLI commands Explain how to collect logs Describe integration with VMware Aria Operations for Logs Describe integration with VMware Aria Operations