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Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators and network administrators Customers, cloud architects, systems engineers, data center administrators Network administrators with experience in managed services or managing a Telco Cloud environment Overview By the end of the course, you should be able to meet the following objectives: Deploy VMware Telco Cloud Service Assurance Manage VMware Telco Cloud Service Assurance to satisfy Telco cloud provider needs Discuss configurable options for VMware Telco Cloud Service Assurance Identify and configure different data sources which are used with VMware Telco Cloud Service Assurance Configure different collectors in VMware Telco Cloud Service Assurance Identify the Root Cause Analysis options with VMware Telco Cloud Service Assurance Discuss data collection in VMware Telco Cloud Service Assurance Explain root cause analysis in VMware Telco Cloud Service Assurance Navigate through the logs for troubleshooting This three-day, hands-on training course provides the knowledge, skills, and tools to achieve competency in installing, configuring, and managing the VMware Telco Cloud Service Assurance environment. In this course, you are introduced to the installation methods of VMware Telco Cloud Service Assurance? across various supported platforms and troubleshooting tools that help you install, manage, and troubleshoot your VMware Telco Cloud Service Assurance environment. In addition, you are presented with various types of configuration options, which you will identify, analyze, and navigate through as you explore the UI and configurable options of the product. Course Introduction Introduction and course logistics Course objectives Introduction to VMware Telco Cloud Service Assurance Describe the features of VMware Telco Cloud Service Assurance List the capabilities of VMware Telco Cloud Service Assurance Discuss the use cases of VMware Telco Cloud Service Assurance Describe the role played by VMware Telco Cloud Service Assurance components in delivering service assurance Deploying VMware Telco Cloud Service Assurance Explain different deployment options of VMware Telco Cloud Service Assurance Identify different deployment methods of VMware Telco Cloud Service Assurance Discuss different phases in deploying VMware Telco Cloud Service Assurance Identify different footprints available for HA based and non-HA based installation of VMware Telco Cloud Service Assurance Describe the SMARTs components of VMware Telco Cloud Service Assurance Deploy VMware Telco Cloud Service Assurance User Access Control Describe the features Role-based Access Control (RBAC) Outline the role of Keycloak in implementing RBAC in VMware Telco Cloud Service Assurance Configure user federation in Keycloak Use the VMware Telco Cloud Service Assurance UI to manage RBAC Create policies in VMware Telco Cloud Service Assurance that align with job roles Services and User Interface Configurations Describe the architecture of logical switching Describe the core services on a TCSA cluster Discuss the Global Manager or Service Assurance Manager (SAM), IP Domain Manager, Server Manager (ESM) Discuss VMware Telco Cloud Service Assurance UI Overview Explain Working with Notifications Elaborate Configuring Summary's Describe Accessing Notification Details Explain Viewing and configuring Topologies List Customizing Topologies Describe Topology Explorer Explain Collecting Troubleshooting Information Discuss Custom models Describe how compute resources are provided to VMware Telco Cloud Service Assurance Describe how storage is provided to VMware Telco Cloud Service Assurance Configure and manage VMware Telco Cloud Service Assurance Discuss configurable options for VMware Telco Cloud Service Assurance Day 1 and Day 2 Operations Review the architecture of logical routing and NSX Edge nodes Identify different data sources to be used with VMware Telco Cloud Service Assurance Configure different collectors with VMware Telco Cloud Service Assurance Describe Alarms and Thresholds Demonstrate how to configure alarms with VMware Telco Cloud Service Assurance Explain how to setup thresholds and timelines in VMware Telco Cloud Service Assurance Define Catalog management and sharing catalogs inside and between organizations. Identify the steps to import or upload data into catalogs. Explain the purpose of catalogs and How to Create a catalog organization. Describe the Purpose and Usage of Open Virtualization Format (OVA) and Custom vApp or VM Properties. Discuss vApp Templates Logs and Troubleshooting Review the architecture of the Distributed Firewall Discuss VMware Telco Cloud Service Assurance installations logs List Smarts installation logs Explain backup and restore options of VMware Telco Cloud Service Assurance Identify the approach for troubleshooting containerized services Discuss monitoring services

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to systems administrators and IT managers. Overview Skills gained in this training include:Determining the correct hardware and infrastructure for your clusterProper cluster configuration and deployment to integrate with the data centerConfiguring the FairScheduler to provide service-level agreements for multiple users of a clusterBest practices for preparing and maintaining Apache Hadoop in productionTroubleshooting, diagnosing, tuning, and solving Hadoop issues Cloudera University?s four-day administrator training course for Apache Hadoop provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster. The Case for Apache Hadoop Why Hadoop? Core Hadoop Components Fundamental Concepts HDFS HDFS Features Writing and Reading Files NameNode Memory Considerations Overview of HDFS Security Using the Namenode Web UI Using the Hadoop File Shell Getting Data into HDFS Ingesting Data from External Sources with Flume Ingesting Data from Relational Databases with Sqoop REST Interfaces Best Practices for Importing Data YARN & MapReduce What Is MapReduce? Basic MapReduce Concepts YARN Cluster Architecture Resource Allocation Failure Recovery Using the YARN Web UI MapReduce Version 1 Planning Your Hadoop Cluster General Planning Considerations Choosing the Right Hardware Network Considerations Configuring Nodes Planning for Cluster Management Hadoop Installation and Initial Configuration Deployment Types Installing Hadoop Specifying the Hadoop Configuration Performing Initial HDFS Configuration Performing Initial YARN and MapReduce Configuration Hadoop Logging Installing and Configuring Hive, Impala, and Pig Hive Impala Pig Hadoop Clients What is a Hadoop Client? Installing and Configuring Hadoop Clients Installing and Configuring Hue Hue Authentication and Authorization Cloudera Manager The Motivation for Cloudera Manager Cloudera Manager Features Express and Enterprise Versions Cloudera Manager Topology Installing Cloudera Manager Installing Hadoop Using Cloudera Manager Performing Basic Administration Tasks Using Cloudera Manager Advanced Cluster Configuration Advanced Configuration Parameters Configuring Hadoop Ports Explicitly Including and Excluding Hosts Configuring HDFS for Rack Awareness Configuring HDFS High Availability Hadoop Security Why Hadoop Security Is Important Hadoop?s Security System Concepts What Kerberos Is and How it Works Securing a Hadoop Cluster with Kerberos Managing and Scheduling Jobs Managing Running Jobs Scheduling Hadoop Jobs Configuring the FairScheduler Impala Query Scheduling Cluster Maintainence Checking HDFS Status Copying Data Between Clusters Adding and Removing Cluster Nodes Rebalancing the Cluster Cluster Upgrading Cluster Monitoring & Troubleshooting General System Monitoring Monitoring Hadoop Clusters Common Troubleshooting Hadoop Clusters Common Misconfigurations Additional course details: Nexus Humans Cloudera Administrator Training for Apache Hadoop 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 Cloudera Administrator Training for Apache Hadoop 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 class is intended for the following: Individuals preparing for the Associate Cloud Engineer examination. Recommended experience: 6 months+ hands-on experience with GCP This one-day instructor-led course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos, and hands-on labs, candidates will familiarize themselves with the domains covered by the examination. An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. With a shortage of cloud expertise in the job market, one which is projected to last for the next several years, Google Cloud certifications can be a way to differentiate yourself from the rest and prove you have not only the technical knowledge but the skills required to do the job. This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam. It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan. This one-day instructor-led course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination. An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. With a shortage of cloud expertise in the job market, one which is projected to last for the next several years, Google Cloud certifications can be a way to differentiate yourself from the rest and prove you have not only the technical knowledge, but the skills required to do the job. This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam. It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.

Duration 1 Days 6 CPD hours This course is intended for 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 Enterprise EDR Identify the architecture and data flows for VMware Carbon Black Cloud Enterprise EDR communication Perform searches across endpoint data to discover suspicious behavior Manage watchlists to augment the functionality of VMware Carbon Black Cloud Enterprise EDR Create custom watchlists to detect suspicious activity in your environment Describe the process for responding to alerts in VMware Carbon Black Cloud Enterprise EDR Discover malicious activity within VMware Carbon Black Cloud Enterprise EDR Describe the different response capabilities available from VMware Carbon Black Cloud This course teaches you how to use the VMware Carbon Black© Cloud Enterprise EDR? product and leverage its capabilities to configure and maintain the system according to 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 Searching Data Creating searches Search operators Analyzing processes Analyzing binaries Advanced queries Managing Watchlists Subscribing Alerting Custom watchlists Alert Processing Alert creation Analyzing alert data Alert actions Threat Hunting in Enterprise EDR Cognitive Attack Loop Malicious behaviors Response Capabilities Using quarantine 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 Enterprise EDR 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 Enterprise EDR 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 workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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 Horizon Cloud Service on Microsoft Azure administrators, system integrators, account managers, solutions architects, solutions engineers, sales engineers, and consultants. Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture of Horizon Cloud Service on Microsoft Azure Discuss the initial Microsoft Azure configurations required for the Horizon Cloud Service on Microsoft Azure deployment Discuss Horizon Cloud Service on Microsoft Azure networking concepts Discuss Horizon Cloud Service on Microsoft Azure AD requirements and integration best practices Determine steps and requirements to deploy or upgrade Horizon Cloud Service on Microsoft Azure Recognize Horizon Cloud Service console controls that are available for administrators Identify Horizon Cloud upgrade features and benefits List the steps and considerations to take when setting up a primary VM to be used as an assignable image Identify how to access desktops and application from Horizon Cloud Service on Microsoft Azure Discuss and create Remote Desktop Session Host Farms Explain power management options in the RDSH farm Create VDI desktop assignments and entitlements Manage assignable images on Horizon Cloud Service on Microsoft Azure Describe and Use Image management service for Horizon Cloud Service on Microsoft Azure Describe the integration of Dynamic Environment Manger with Horizon Cloud Service on Microsoft Azure Manage user personalization and application configurations using the Dynamic Environment Manager management console and application profiler Discuss the usage of App Volumes for Horizon Cloud Service on Microsoft Azure Discuss the integration of Workspace ONE Access with Horizon Cloud Service on Microsoft Azure Interpret scalability considerations for Horizon Cloud Service on Microsoft Azure Determine the process of deploying, configuring, and paring Horizon Cloud Connector into your pod's environment Apply troubleshooting techniques relevant to Horizon Cloud Service and Microsoft Azure Summarize the analytics and monitoring capabilities in Horizon Cloud Service on Microsoft Azure This five-day, hands-on training provides you with the knowledge, skills, and abilities to achieve competence in deploying and managing VMware Horizon© Cloud Service? on Microsoft Azure. This training increases your skills and competence in using the VMware Horizon© Cloud Administration Console and Microsoft Azure portal.Through a combination of hands-on labs and interactive lectures, you learn how to import and manage images for VDI and RDSH assignments. You also learn how to configure and use the Universal Broker function, VMware App Volumes?, Workspace ONE Access and VMware Dynamic Environment Manager? in the Horizon Cloud Service on Microsoft Azure deployment. Course Introduction Introduction and course logistics Course objectives Introduction to Horizon Cloud Service on Microsoft Azure Identify Horizon Cloud Service on Microsoft Azure features, benefits, and licensing options Interpret Horizon Cloud Service on Microsoft Azure architecture components to identify configuration prerequisite Interpret Horizon Cloud Service on Microsoft Azure deployment models Discuss the initial Microsoft Azure configurations required for the Horizon Cloud Service on Microsoft Azure deployment Microsoft Azure Networking Requirements Summarize Horizon Cloud connectivity considerations and tasks Discuss Horizon Cloud on Microsoft Azure networking concepts Identify ports required for local connections, remote connections, and endpoint operating system firewall rules Active Directory List the features and limitations of supported AD configurations Discuss Horizon Cloud Service on Microsoft Azure AD integration best practices Determine Horizon Cloud Service on Microsoft Azure AD requirements Deployment and Upgrades Determine steps and requirements to deploy Horizon Cloud Service on Microsoft Azure Discuss the features and benefits of using multiple tenant subnets for desktops and RDSH Discuss the features and benefits of using Internal and External UAG Recognize Horizon Cloud Service console controls that are available for administrators Identify Horizon Cloud upgrade features and benefits Creating Images Outline the process and choices to set up primary VMs Identify the configuration choices for importing primary VMs List steps to install the user software on the primary VM Identify steps to convert a configured primary VM to an assignable image Access Desktops and Applications Use Horizon Client to access desktops and remote applications Compare the remote display protocols that are available for Horizon Cloud Remote Desktop Session Host Farms List the steps and considerations to take when creating an RDSH farm List the actions that can be performed on farms listed on the console?s Farms page List the actions to assign an application to a user or group List the prerequisites and steps to create an RDSH session assignment VDI Desktops Compare a dedicated assignment to floating assignment Outline steps to create a VDI desktop assignment Explain the entitlement of desktops Managing Assignable Images Describe and manage assignable images Describe and Use Image management service for Horizon Cloud Service on Microsoft Azure VMware Dynamic Environment Manager Identify the VMware Dynamic Environment Manager functional areas and their benefits Prepare an infrastructure for VMware Dynamic Environment Manager Outline the steps that are required to install and configure Dynamic Environment Manager components Manage user personalization and application configurations using the Dynamic Environment Manager management console and application profiler App Volumes for Horizon Cloud Service on Microsoft Azure Explain how App Volumes works with Horizon Cloud Service on Microsoft Azure Identify the features and benefits of App Volumes in Horizon Cloud Service on Microsoft Azure Identify the interface elements of App Volumes in Horizon Cloud Service on Microsoft Azure Install and configure App Volumes in Horizon Cloud Service on Microsoft Azure Workspace ONE Access Describe the benefits of integrating VMware Horizon Cloud service with Workspace ONE Access. Describe how a user obtains access to an entitled virtual desktop or application from the Intelligent Hub catalog. Describe the importance of binding directory with Workspace ONE Access and setting up custom user attribute synchronization. Describe the importance of configuring the Remote App Access Client in Workspace ONE Access. Summarize the steps of configuring the Access settings in Horizon Cloud control panel. Access an entitled Horizon virtual desktop or application in the Intelligent Hub catalog. Scalability Considerations Discuss the Horizon Cloud Service on Microsoft Azure scalability cost and settings Describe the usage of Universal Broker in Horizon Cloud Service on Microsoft Azure Horizon Cloud Connector Describe the features and benefits of Horizon Cloud Connector List the prerequisites and requirements to connect a Horizon pod with Horizon Cloud Connector Determine the process of deploying, configuring, and paring Horizon Cloud Connector into your pod?s environment Troubleshooting Horizon Cloud Service on Microsoft Azure Discuss Horizon Cloud Service on Microsoft Azure troubleshooting basics Discuss Horizon Cloud Service troubleshooting basics Summarize the analytics and monitoring capabilities in Horizon Cloud Service on Microsoft Azure

Duration 1 Days 6 CPD hours This course is intended for This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals 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 Google Cloud Platform Big Data and Machine Learning Fundamentals 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 ideal for email digital marketers responsible for managing the email channel for their organization, Salesforce Admins responsible for supporting users when Marketing Cloud Connect is installed, and customers who will be connecting their Salesforce org to Marketing Cloud using Marketing Cloud Connect. Overview When you complete this course, you will be able to: Explain Marketing Cloud Connect. Connect a Marketing Cloud account to a Salesforce org. Create individualized content blocks to leverage Salesforce CRM data using personalization strings and dynamic content. Create an email in Content Builder. Utilize the various sending methods to send to a Lead, Contact, Report, or Campaign in Marketing Cloud and Sales and Service Clouds. Automate sending emails using a Triggered Email, Automation Studio, and Journey Builder. Configure Synchronized CRM Sources to bring CRM data into Marketing Cloud. Segment data using Reports, Filter Activity, and Query Activity. Create journeys using Salesforce Activities in Journey Builder. Review tracking data in Marketing Cloud and Sales and Service Clouds. Create analytics reports in Marketing Cloud. Create and customize Marketing Cloud reports in Sales and Service Clouds. Create a dashboard based on Marketing Cloud reports. Unify and analyze your data in one place with Marketing Cloud Connect. In this 4-day class, you'll learn how to link your Marketing, Sales, and Service Clouds to seamlessly engage with your customers. Discover how to segment Salesforce data to create personalized, targeted emails. Track and report on those emails to see what resonates most with your customers so you can strengthen your relationships with them. Salesforce Marketing Cloud Overview Review the Customer Success Platform Get to Know Marketing Cloud Marketing Cloud Connect Review Marketing Cloud Connect Review the Various Ways to Connect the Clouds Marketing Cloud Connect Configuration Explore How to Connect the Clouds Review the Prerequisites for Marketing Cloud Connect Review Salesforce Terminology Connect a Marketing Cloud Account to a Salesforce Org Review Prework Personalized Digital Marketing Review What Functionality Can Be Accomplished in Each Cloud Create a Personalized Email Leveraging Salesforce CRM Data Using Content Builder Use Testing Tools Send a Marketing Cloud Email Manually to a Lead, Contact, Report, and Campaign Automate the Sending of an Email via a Triggered Email, Automation Studio, and Journey Builder Understand What Happens When an Email Is Sent Understand Subscriber Statuses Synchronized CRM Data Explain How and Why to Bring Salesforce CRM Data into Marketing Cloud Synchronize Data Sources in Contact Builder Create Segments Using Filters and the Query Activity Create a Salesforce Data Extension for Sending Create a Journey Using Synchronized Data Sources Test a Journey Journey Builder Explain Sales and Service Cloud Activities Create a Journey Using Sales and Service Cloud Activities Tracking and Reporting Understand the Tracking Data Available in Marketing Cloud Create and Automate Tracking Reports in Marketing Cloud Understand the Tracking Data Available in Sales and Service Cloud Create and Customize Marketing Cloud Reports in Sales and Service Cloud Create a Dashboard for Marketing Cloud Tracking Reports Additional course details: Nexus Humans Salesforce Link Your Salesforce Data using Marketing Cloud Connect (MCC201) 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 Link Your Salesforce Data using Marketing Cloud Connect (MCC201) 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 designed for the following roles: Network engineers Network security engineers Network architects Sales/presales engineers Overview After taking this course, you should be able to: Describe Cisco SD-WAN security functions and deployment options Understand how to deploy on-premises threat prevention Describe content filtering options Implement secure Direct Internet Access (DIA) Explain and implement service chaining Explore Secure Access Service Edge (SASE) and identify use cases Describe Cisco Umbrella Secure Internet Gateway (SIG) and deployment options Implement Cisco Umbrella SIG and Domain Name System (DNS) policies Explore and implement Cloud Access Security Broker (CASB) and identify use cases (including Microsoft 365) Describe how to use Cisco ThousandEyes to monitor cloud services Configure Cisco ThousandEyes to monitor Microsoft 365 applications Examine how to protect and optimize access to the Software as a Service (SaaS) application with Cisco SD-WAN Cloud OnRamp Describe and deploy Cloud OnRamp for multi-cloud, including interconnect and colocation use cases Examine Cisco SD-WAN monitoring capabilities and features with vManage and vAnalytics The Implementing Cisco SD-WAN Security and Cloud Solutions (SDWSCS) v1.0 course is an advanced training course focused on Cisco SD-WAN security and cloud services. Through a series of labs and lectures you will learn about on-box security services, including application-aware enterprise firewall, intrusion prevention, URL filtering, malware protection, and Transport Layer Security (TLS) or Secure Socket Layer (SSL) decryption. You will also learn about cloud integration with multiple cloud service providers across multiple use cases. Additionally, the course labs will allow you to configure and deploy local security services and cloud security services with the Cisco Umbrella Secure Internet Gateway (SIG), as well as integrate the Cisco SD-WAN fabric with a cloud service provider using the Cisco vManage automated workflows. The course lab environment is built using Cisco Catalyst 8000v IOS XE routers and Cisco SD-WAN 20.7 code, and it includes the integration of Cisco FirePOWER Threat Defense for network security and Cisco ThousandEyes for network monitoring. The course will allow you to earn 24 Continuing Education (CE) credits toward recertification. Course Outline Introducing Cisco SD-WAN Security Deploying On-Premises Threat Prevention Examining Content Filtering Exploring Cisco SD-WAN Dedicated Security Options Examining Cisco SASE Exploring Cisco Umbrella SIG Securing Cloud Applications with Cisco Umbrella SIG Exploring Cisco SD-Wan ThousandEyes Optimizing SaaS Applications Connecting Cisco SD-WAN to Public Cloud Examining Cloud Interconnect Solutions Exploring Cisco Cloud OnRamp for Colocation Monitoring Cisco SD-WAN Cloud and Security Solutions Additional course details: Nexus Humans Cisco SD-WAN Security and Cloud Onboarding v1.0 (SDWSCS) 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 Security and Cloud Onboarding v1.0 (SDWSCS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Cloud professionals who intend to take the Professional Cloud Architect certification exam. Overview Candidates will be able to identify skill gaps and further areas of study. Candidates will also be directed to appropriate target learning resources. Students in this course will prepare for the Professional Cloud Architect Certification Exam. They will rehearse useful skills including exam question reasoning and case comprehension, tips and review of topics from the Infrastructure curriculum. Understanding the Professional Cloud Architect Certification Position the Professional Cloud Architect certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Cloud Architect and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies MountKirk Games Dress4Win TerramEarth Designing and Implementing Review the layered model from Design and Process Provide exam tips focused on business and technical design Designing a solution infrastructure that meets business requirements Designing a solution infrastructure that meets technical requirements Design network, storage, and compute resources Creating a migration plan Envisioning future solution improvements Resources for learning more about designing and planning Configuring network topologies Configuring individual storage systems Configuring compute systems Resources for learning more about managing and provisioning Designing for security Designing for legal compliance Resources for learning more about security and compliance Optimizing and Operating Analyzing and defining technical processes Analyzing and defining business processes Resources for learning more about analyzing and optimizing processes Designing for security Designing for legal compliance Resources for learning more about security and compliance Advising development/operation teams to ensure successful deployment of the solution Resources for learning more about managing implementation Easy buttons Playbooks Developing a resilient culture Resources for learning more about ensuring reliability Next Steps Present Qwiklabs Challenge Quest for the Professional CA Identify Instructor Led Training courses and what they cover that will be helpful based on skills that might be on the exam Connect candidates to individual Qwiklabs, and to Coursera individual courses and specializations. Review/feedback of course Additional course details: Nexus Humans Preparing for the Professional Cloud Architect Examination 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 Preparing for the Professional Cloud Architect Examination 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.