2391 Architect courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: Channel partners and reseller engineers installing, configuring, and maintaining scalable and resilient deployments of Cisco Meeting Server Channel partners and reseller engineers providing presales support for scalable and resilient Cisco Meeting Server deployments Customer engineers supporting scalable and resilient Cisco Meeting Server deployments Overview Upon completion of this course, the learner should be able to meet the following objectives: Cisco Meeting Server API commands Scalable and resilient deployments Customization Recording In this 3-day course Cisco Meeting Server Advanced (COLLAB350), you will learn advanced techniques in installing, troubleshooting, and maintaining a single server and single server split deployment of Cisco Meeting Servers. The recently purchased Acano collaboration hardware and software includes video and audio-bridging technology that allows customers to connect video systems from multiple vendors across both cloud and hybrid environments. Cisco has incorporated Acano collaboration technologies into the new Meeting Server tool. Module 1: Reviewing Cisco Meeting Server Intermediate Component parts of a Cisco Meeting Solution Configuration steps for a Cisco Meeting Solution Module 2: APIs Purpose of APIs Benefits of APIs Types of APIs Function of the GET, POST, PUT, and DELETE commands Module 3: Configuring Software with an API How a user can interact with software using an API Download and install Chrome Postman Other API software Download the Cisco Meeting Server API guide Module 4: Configuring Spaces with the Cisco Meeting Server API Cisco Meeting Server API structure Use Chrome Postman for information on calls and spaces with the GET command Use Chrome Postman to post a new call space with the POST command Use Chrome Postman to place changes in a space, including adding a member, with the PUT command Use Chrome Postman to delete a space with the DELETE command Module 5: Customization Configuration Create and modify a user profile and assign users Create and modify a dual-tone multifrequency (DTMF) profile and apply to a user profile Modify the interactive voice response (IVR), color scheme, and background Module 6: Planning a Resilient and Scalable Cisco Meeting Server Deployment Resilient server solutions Scalable server solutions Geographically dispersed configurations and GeoDNS Domain Name System (DNS) records required for a resilient and scalable solution Certificate requirements for a resilient and scalable solution Module 7: Configuring a Database Cluster Relationship between cluster master and cluster slaves in a database cluster Certificate requirements for a secure database cluster Configure the certificates for a database cluster Configure a database cluster Module 8: Configuring a Call Bridge Cluster Relationship between the Call Bridge and the Database How cross-cluster spaces behave Configure certificates for Call Bridge clustering Storage of configuration when entering with the API and the individual web interfaces for Lightweight Directory Access Protocol (LDAP) and Call Bridge clustering Configure a Call Bridge Cluster Connect XMPP server to multiple Call Bridges Module 9: Configuring Load Balancers and Trunks Relationship between the XMPP server, Trunk and Load Balancer Configure certificates for multiple trunks and load balancers Configure multiple Trunks to multiple Load Balancers Module 10: Configuring Multiple Web Bridges Relationship between multiple Web Bridges and Call Bridges Internal and external DNS records support for both internal and external Web Bridges Configure certificates for multiple Web Bridges Configure multiple Web bridges Connect multiple Call Bridges to multiple Web Bridges Module 11: Configuring Multiple TURN Servers Relationship between multiple TURN servers and multiple Call Bridges Configure certificates for multiple TURN servers Configure multiple TURN servers Connect multiple Call Bridges to multiple TURN servers Module 12: Configuring Multiple Recorders Features of the recording capability Software, hardware, and licensing requirements for recording DNS records Configure the Recorder Relationship between multiple Recorders and multiple Call Bridges Configure a Call Bridge to use a Recorder Configure certificates for multiple Recorders servers Configure multiple Recorder servers Connect multiple Call Bridges to multiple Recorder servers Module 13: Integrating with a Resilient and Scalable Cisco Meeting Server Deployment Integration with Cisco TelePresence Video Communication Server (VCS) or Cisco Unified Communications Manager and multiple Call Bridges Integration with Cisco Expressway technology and multiple Call Bridges Integration with Microsoft Skype for Business and multiple Call Bridges Integration with Cisco TelePresence Management Suite and multiple Call Bridges Module 14: Deploying an H.323 Gateway Cisco preferred architecture for H.323 and Session Initiation Protocol (SIP) interoperability Functionality of the Cisco Meeting Server H.323 gateway Configuration the Cisco Meeting Server H.323 gateway Module 15: Multitenancy Options Purpose of the multitenancy capabilities Options for multitenancy capabilities on the Cisco Meeting Server Module 16: Customization Options Options available to customize Cisco Meeting Apps License keys required for customization Web Server requirements for customization Options available to customize recorded messaging Customization options available for invitation text

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone responsible for conf iguring, maintaining, and troubleshooting Symantec Data Loss Prevention. Additionally, this course is intended for technical users responsible for creating and maintaining Symantec Data Loss Prevention policies and the incident response structure. Overview At the completion of the course, you will be able to: Enforce server, detection servers, and DLP Agents as well as reporting, workflow, incident response management, policy management and detection, response management, user and role administration, directory integration, and filtering. This course is designed to provide you with the fundamental know ledge to configure and administer the Symantec Data Loss Prevention Enforce platform. Introduction to Symantec Data Loss Prevention Symantec Data Loss Prevention overview Symantec Data Loss Prevention architecture Navigation and Reporting Navigating the user interface Reporting and analysis Report navigation, preferences, and features Report filters Report commands Incident snapshot Incident Data Access Hands-on labs: Become familiar with navigation and tools in the user interface. Create, filter, summarize, customize, and distribute reports. Create users, roles, and attributes. Incident Remediation and Workflow Incident remediation and w orkf low Managing users and attributes Custom attribute lookup User Risk Summary Hands-on labs: Remediate incidents and configure a user?s reporting preferences Policy Management Policy overview Creating policy groups Using policy templates Building policies Policy development best practices Hands-on labs: Use policy templates and policy builder to configure and apply new policies Response Rule Management Response rule overview Configuring Automated Response rules Configuring Smart Response rules Response rule best practices Hands-On Labs: Create and use Automated and Smart Response rules Described Content Matching DCM detection methods Hands-on labs: Create policies that include DCM and then use those policies to capture incidents Exact Data Matching and Directory Group Matching Exact data matching (EDM) Advanced EDM Directory group matching (DGM) Hands-on labs: Create policies that include EDM and DGM, and then use those policies to capture incident Indexed Document Matching Indexed document matching (IDM) Hands-on labs: Create policies that include IDM rules and then use those policies to capture incidents Vector Machine Learning Vector Machine Learning (VML) Hands-on labs: Create a VML profile, import document sets, and create a VML policy Network Monitor Review of Network Monitor Protocols Traffic filtering Network Monitor best practices Hands-On Labs: Apply IP and L7 filters Network Prevent Network Prevent overview Introduction to Network Prevent (Email) Introduction to Network Prevent (Web) Hands-On Labs: Configure Network Prevent (E-mail) response rules, incorporate them into policies, and use the policies to capture incidents Mobile Email Monitor and Mobile Prevent Introduction to Mobile Email Monitor Mobile Prevent overview Configuration VPN configuration Policy and Response Rule Creation Reporting and Remediation Troubleshooting Network Discover and Network Protect Network Discover and Network Protect overview Configuring Discover targets Configuring Box cloud targets Protecting data Auto-discovery of servers and shares Running and managing scans Reports and remediation Network Discover and Network Protect best practices Hands-on labs: Create and run a filesystem target using various response rules, including quarantining Endpoint Prevent Endpoint Prevent overview Detection capabilities at the Endpoint Configuring Endpoint Prevent Creating Endpoint response rules Viewing Endpoint Prevent incidents Endpoint Prevent best practices Managing DLP Agents Hands-on labs: Create Agent Groups and Endpoint response rules, monitor and block Endpoint actions, view Endpoint incidents, and use the Enforce console to manage DLP Agents Endpoint Discover Endpoint Discover overview Creating and running Endpoint Discover targets Using Endpoint Discover reports and reporting features Hands-on labs: Create Endpoint Discover targets, run Endpoint Discover targets, and view Endpoint Discover incidents Enterprise Enablement Preparing for risk reduction Risk reduction DLP Maturity model System Administration Server administration Language support Incident Delete Credential management Troubleshooting Diagnostic tools Troubleshooting scenario Getting support Hands-on labs: Interpret event reports and traffic reports, configure alerts, and use the Log Collection and Configuration tool Additional course details: Nexus Humans Symantec Data Loss Prevention 14.0 - Administration 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 Symantec Data Loss Prevention 14.0 - Administration 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 class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Duration 5 Days 30 CPD hours This course is intended for Typical candidates for this course are IT Professionals who will deploy and manage networks based on HPE's ArubaOS-CX switches. Overview After you successfully complete this course, expect to be able to: Use NetEdit to manage switch configurations Use the Network Analytics Engine (NAE) to implement scripting solutions to provide for proactive network management and monitoring Compare and contrast VSX, VSF, and backplane stacking Explain how VSX handles a split-brain scenario Implement and manage a VSX fabric Define ACLs and identify the criteria by which ACLs select traffic Configure ACLs on AOS-CX switches to select given traffic Apply static ACLs to interfaces to meet the needs of a particular scenario Examine an ACL configuration and determine the action taken on specific packets Deploy AOS-Switches in single-area and multi-area OSPF systems Use area definitions and summaries to create efficient and scalable multiple area designs Advertise routes to external networks in a variety of OSPF environments Promote fast, effective convergence during a variety of failover situations Use virtual links as required to establish non-direct connections to the backbone Implement OSFP authentication Establish and monitor BGP sessions between your routers and ISP routers Advertise an IP block to multiple ISP routers Configure a BGP router to advertise a default route in OSPF Use Internet Group Management Protocol (IGMP) to optimize forwarding of multicast traffic within VLANs Describe the differences between IGMP and IGMP snooping Distinguish between PIM-DM and PIM-SM Implement PIM-DM and PIM-SM to route multicast traffic Implement Virtual Routing Forwarding (VRF) policies to contain and segregate routing information Create route maps to control routing policies Understand the use of user roles to control user access on AOS-CX switches Implement local user roles on AOS-CX switches and downloadable user roles using a ClearPass solution Implement 802.1X on AOS-CX switch ports Integrate AOS-CX switches with an Aruba ClearPass solution, which might apply dynamic role settings Implement RADIUS-based MAC Authentication (MAC-Auth) on AOS-CX switch ports Configure captive portal authentication on AOS-CX switches to integrate them with an Aruba ClearPass solution Combine multiple forms of authentication on a switch port that supports one or more simultaneous users Configure dynamic segmentation on AOS-CX switches This course teaches you the advanced skills necessary to implement and operate enterprise level Aruba campus switching solutions. You will build on the skills you learned at the Associate level to configure and manage modern, open standards-based networking solutions using Aruba's OS-CX routing and switching technologies. In this course, participants learn about ArubaOS-CX switch technologies including: securing port access with Aruba's dynamic segmentation, redundancy technologies such as Multiple Spanning Tree Protocol (MSTP), link aggregation techniques including Link Aggregation Protocol (LACP) and switch virtualization with Aruba?s Virtual Switching Extension (VSX) and Aruba's Virtual Switching Framework (VSF). This course is approximately 50% lecture and 50% hands-on lab exercises. Introduction to Aruba Switching Switches overview Architectures NetEdit Overview Centralized configuration Switch groups/templates AOS-CX mobile App Network Analytics Engine (NAE) Overview Configuration Core NAE feature lab sflow, local mirror, remote mirror VSX VSF vs. VSX: access and Agg/core design Stacking review VSF and uni/multi packet forwarding Stack fragments / split brain VSX Overview: roles, control, data, management planes VSX components (ISL, Keepalive, VSX LAG, Active Gateway, Active-Forwarding, Link Delay) Split Brain scenario Upstream Connectively Options (ROP single VRF, SVIs with multiple VRF, VSX Lag SVIs with multiple VRFs) Upstream/Downstream unicast traffic flow (South-North and North-South) VSX Configuration: VSX and Active Gateway VSX firmware updates ACLs Overview: types, components MAC ACL, Standard ACL, Extended ACL, Classifier-based Policies Configuration: wildcard bits, logging, pacl, vacl, racl Advanced OSPF Review basic OSPF Multi area: setup and aggregation Area-Types Stub, Totally Stub, NSSA, Totally NSSA External routes OSPF tuning: costs, bfd, gr, auth, vrrp, virt link BGP Overview: i/e bgp, as numbers Best path selection Configuration: route announcement Route filtering to prevent transit as IGMP Overview Querier Snooping Unknown multicasts Multicast Routing: PIM Overview PIM DM 802.1X Authentication Overview: roles, requirements, coa, accounting Dynamic port configuration: avp, acl, qos, VLAN Port-based vs. user-based: examples Radius service tracking, critical VLAN MAC Authentication Overview: Use cases Radius-based MAC Auth Dynamic Segmentation Leverage dynamic segmentation features Configure tunneled-node on AOS-CX switches Describe when and how to configure PAPI enhanced security, high availability, and fallback switching for tunneled-node Quality of Service Overview VoQ (Virtual Output Queue) QOS: queueing, QOS marks, dot1p, dscp Trust levels QOS configuration: port, VLAN, policies Interaction with user roles Queue configuration Rate limiters LLDP-MED Additional Routing Technologies VRF - Management VRF PBR MDNS PIM SM Capitve Portal Authentication Overview of guest solutions Built-in web auth ClearPass redirect with CPPM

Duration 5 Days 30 CPD hours This course is intended for The audience for this course includes enterprise-level messaging administrators on Exchange Server. IT generalists and helpdesk professionals who want to learn about Exchange Server may also take this course. Students taking this course are expected to have at least two years of experience working in the IT field-typically in the areas of Windows Server administration, network administration, helpdesk, or system administration. They are also expected to have some experience with Exchange Server concepts but previous experience managing Exchange Server is not a requirement. Overview After completing this course, students will be able to: Deploy Exchange Server. Plan and configure storage for Exchange Server. Create and manage various recipient objects in Exchange Server. Perform recipient management and Exchange server management tasks by using Exchange Server cmdlets. Deploy Client Access services in Exchange Server. Manage high availability in Exchange Server. Implement disaster recovery for Exchange Server. Configure and manage message transport in Exchange Server. Configure message security in Exchange Server. Monitor and troubleshoot Exchange Server. Configure Exchange Server role-based access control permissions and configure audit logging for both administrators and users. Implement and manage integration with Exchange Online. This course teaches IT professionals how to administer and support Exchange Server. The course covers how install and configure Exchange Server. It also covers how to manage mail recipients and public folders, including how to perform bulk operations by using Exchange Management Shell. In addition, the course covers how to manage client connectivity, message transport and hygiene, and highly available Exchange Server deployments. It also covers how to implement disaster recovery solutions. Finally, the course covers how to maintain and monitor an Exchange Server deployment and how to administer Exchange Online in a Office 365 deployment. Deploying Microsoft Exchange Server 2016 Overview of Exchange Server Exchange Server architecture Requirements for Exchange Server Deploying Exchange Server Exchange Server Exchange Server Management Tools Lab : Deploying Exchange Server Managing Exchange Server 2016 storage Exchange Server mailbox databases Exchange Server storage Configuring Exchange Server mailbox databases and storage Lab : Configuring Exchange Server storage Managing recipient objects Managing user mailboxes Managing other types of mailboxes Managing other recipients objects Configuring policies and address lists Lab : Managing recipient objects Lab : Configuring address lists and policies Managing recipients and Exchange servers by using Exchange Server cmdlets Overview of the Exchange Management Shell Managing Exchange Servers by using Exchange Management Shell cmdlets Managing Exchange servers by using scripts Lab : Managing Exchange Server and recipient objects by using Exchange Management Shell Implementing client connectivity Configuring client access services Managing client access services Client connectivity in Exchange Server Configuring Outlook on the web Configuring mobile messaging Lab : Configuring client access services Lab : Deploying and configuring client access services on Exchange Server Managing high availability in Exchange Server High availability on Exchange Server Configuring highly available mailbox databases Configuring high availability of Client Access services Lab : Implementing DAGs Lab : Implementing and testing high availability Implementing disaster recovery for Exchange Server Implementing Exchange Server backup Implementing Exchange Server recovery Lab : Backing up Exchange Server data Lab : Restoring Exchange Server data Configuring and managing message transport Overview of message transport Configuring message transport Managing transport rules Lab : Configuring and managing message transport Configuring message security Deploying and managing an Edge Transport server for message security Implementing an antivirus solution for Exchange Server Implementing an antispam solution for Exchange Server Lab : Configuring message security in Exchange Server Monitoring and troubleshooting Exchange Server Monitoring Exchange Server Troubleshooting Exchange Server Lab : Monitoring and troubleshooting Exchange Server Securing and maintaining Exchange Server Securing Exchange Server by using RBAC Configuring audit logging in Exchange Server Maintaining Exchange Server Lab : Securing and maintaining Exchange Server Implementing and managing Exchange Online deployments Overview of Exchange Online and Office 365 Managing Exchange Online Implementing the migration to Exchange Online Managing a hybrid environment Lab : Managing Exchange Online Additional course details: Nexus Humans 20345-1 Administering Microsoft Exchange Server 2016/2019 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 20345-1 Administering Microsoft Exchange Server 2016/2019 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 Overview By the end of the course, you should be able to meet the following objectives: Describe how Tanzu Kubernetes Grid fits in the VMware Tanzu portfolio Describe the Tanzu Kubernetes Grid architecture Deploy and manage Tanzu Kubernetes Grid management and supervisor clusters Deploy and manage Tanzu Kubernetes Grid workload clusters Deploy, configure, and manage Tanzu Kubernetes Grid packages Perform basic troubleshooting During this four-day course, you focus on installing VMware Tanzu© Kubernetes Grid? in a VMware vSphere© environment and provisioning and managing Tanzu Kubernetes Grid clusters. The course covers how to install Tanzu Kubernetes Grid packages for image registry, authentication, logging, ingress, multipod network interfaces, service discovery, and monitoring. The concepts learned in this course are transferable for users who must install Tanzu Kubernetes Grid on other supported clouds. Course Introduction Introductions and course logistics Course objectives Introducing VMware Tanzu Kubernetes Grid Identify the VMware Tanzu products responsible for Kubernetes life cycle management and describe the main differences between them Explain the core concepts of Tanzu Kubernetes Grid, including bootstrap, Tanzu Kubernetes Grid management, supervisor, and workload clusters List the components of a Tanzu Kubernetes Grid instance VMware Tanzu Kubernetes Grid CLI and API Illustrate how to use the Tanzu CLI Define the Carvel Tool set Define Cluster API Identify the infrastructure providers List the Cluster API controllers Identify the Cluster API custom resource definitions Authentication Explain how Kubernetes manages authentication with Management clusters Explain how Kubernetes manages authentication with supervisor clusters Define Pinniped Define Dex Describe the Pinniped authentication workflow Load Balancers Illustrate how load balancing works for the Kubernetes control plane Illustrate how load balancing works for application workload Explain how Tanzu Kubernetes Grid integrates with VMware NSX Advanced Load Balancer List load balancing options available on public clouds VMware Tanzu Kubernetes Grid on vSphere List the requirements for deploying a supervisor cluster List the steps to install a Tanzu Kubernetes Grid supervisor cluster Summarize the events of a supervisor cluster creation List the requirements for deploying a management cluster List the steps to install a Tanzu Kubernetes Grid management cluster Summarize the events of a management cluster creation Demonstrate how to use commands when working with management clusters VMware Tanzu Kubernetes Grid on Public Clouds List the requirements for deploying a management cluster on AWS and Microsoft Azure List the configuration options to install a Tanzu Kubernetes Grid a management cluster on AWS and Azure Tanzu Kubernetes Workload Clusters List the steps to build a custom image Describe the available customizations Identify the options for deploying Tanzu Kubernetes Grid clusters Explain the difference between the v1alpha3 and v1beta1 APIs Explain how Tanzu Kubernetes Grid clusters are created Discuss which VMs compose a Tanzu Kubernetes Grid cluster List the pods that run on a Tanzu Kubernetes Grid cluster Describe the Tanzu Kubernetes Grid core add-ons that are installed on a cluster Tanzu Kubernetes Grid Packages Define the Tanzu Kubernetes Grid packages Explain the difference between Auto-Managed and CLI-Managed packages Define packages repositories Configuring and Managing Tanzu Kubernetes Grid Operation and Analytics Packages Describe Cert-Manager Describe the Harbor Image Registry Describe Fluent Bit Identify the logs that Fluent Bit collects Explain basic Fluent Bit configuration Describe Prometheus and Grafana Configuring and Managing Tanzu Kubernetes Grid Networking Packages Describe the Contour ingress controller Demonstrate how to install Contour on a Tanzu Kubernetes Grid cluster Describe ExternalDNS Demonstrate how to install Service Discovery with ExternalDNS Describe Multus CNI Tanzu Kubernetes Grid Day 2 Operations List the load balancer configuration options in vSphere to load balance applications Demonstrate how to configure Ingress with the NodePortLocal Mode Explain how to install VMware Tanzu Application Platform Describe life cycle management in Tanzu Kubernetes Grid Explain how backup and restore are implemented in Tanzu Kubernetes Grid Describe Velero and Restic List the steps to back up a Workload cluster using Velero and Restic Troubleshooting Tanzu Kubernetes Grid Discuss the various Tanzu Kubernetes Grid logs Identify the location of Tanzu Kubernetes Grid logs Explain the purpose of crash diagnostics Demonstrate how to check the health of a Tanzu Kubernetes Grid cluster Explain packages cleanup procedures Explain management recovery procedures Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Tanzu Kubernetes Grid: Install, Configure, Manage [V2.0] 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 Tanzu Kubernetes Grid: Install, Configure, Manage [V2.0] 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 The ideal audience for this course includes database enthusiasts, IT professionals, and developers who are eager to expand their knowledge and skill set in database management and optimization. Roles that would greatly benefit from attending this course include: Database Developers: Those who design, implement, and maintain databases as part of their primary responsibilities and want to improve their expertise in schema design, query optimization, and advanced database features. Backend Developers: Professionals who work on server-side application logic and require a strong understanding of database management to integrate data storage and retrieval processes into their applications. Overview Upon completing this course, database developers will be able to: Design and implement efficient database schemas by employing normalization techniques, appropriate indexing strategies, and partitioning methods to optimize data storage and retrieval processes. Develop advanced SQL queries, including joining multiple tables, utilizing subqueries, and aggregating data, to extract valuable insights and facilitate decision-making processes. Implement stored procedures, functions, and triggers to automate common database tasks, enforce data integrity, and improve overall application performance. Apply database performance tuning techniques, such as query optimization, index management, and transaction control, to ensure optimal resource usage and enhanced system responsiveness. Integrate databases with various programming languages and platforms, enabling seamless data access and manipulation for web, mobile, and desktop applications. PostgreSQL is a powerful, open-source object-relational database management system that emphasizes extensibility, data integrity, and high performance. Its versatility and robust feature set make it an ideal choice for developers working on projects of all sizes, from small-scale applications to enterprise-level systems. By learning PostgreSQL, developers can tap into its advanced capabilities, such as full-text search, spatial data support, and customizable data types, allowing them to create efficient and scalable solutions tailored to their unique needs. PostgreSQL for Database Developers is a three-day hands-on course that explores the fundamentals of database management, covering everything from installation and management to advanced SQL functions. Designed for beginners and enthusiasts alike, this course will equip you with the knowledge and skills required to effectively harness the power of PostgreSQL in today's data-driven landscape. Throughout the course you?ll be immersed in a variety of essential topics, such as understanding data types, creating and managing indexes, working with array values, and optimizing queries for improved performance. You?ll gain valuable hands-on experience with real-world exercises, including the use of the psql client, writing triggers and stored procedures with PL/pgSQL, and exploring advanced SQL functions like Common Table Expressions (CTE), Window Functions, and Recursive Queries. You?ll exit this course with a solid foundation in PostgreSQL, enabling you to confidently navigate and manage your databases with ease and efficiency. Installing & Managing PostgreSQL PostgreSQL installation process Optimal configuration settings User and role management Database backup and restoration Overview of PostgreSQL Database PostgreSQL architecture overview Understanding database objects Efficient data storage Transaction management basics Using the psql client Introduction to psql Essential psql commands Executing queries effectively Managing databases with psql Understanding PostgreSQL data types Numeric data types explored Character and binary types Date, time, and boolean values Array and other types Understanding sequences Sequence creation and usage Customizing sequence behavior Implementing auto-increment columns Sequence manipulation and control Creating & managing indexes PostgreSQL index fundamentals Designing partial indexes Utilizing expression-based indexes Index management techniques Using COPY to load data COPY command overview Importing and exporting data Handling CSV and binary formats Performance considerations Working with Array Values Array value basics Array manipulation functions Querying arrays efficiently Multidimensional array handling Advanced SQL Functions Mastering Common Table Expressions Utilizing Window Functions Regular Expressions in SQL Crafting Recursive Queries Writing triggers & stored procedures with PL/pgSQL PL/pgSQL variables usage Implementing loop operations PERFORM and EXECUTE statements Developing PostgreSQL triggers Using the PostgreSQL query optimizer Query analysis and optimization EXPLAIN command insights PostgreSQL query operators Identifying performance bottlenecks Improving query performance Query performance tuning Index optimization strategies Efficient database partitioning Connection and resource management Wrap Up & Additional Resources Further learning opportunities Staying up-to-date with PostgreSQL Community engagement and support Additional course details: Nexus Humans PostgreSQL for Database Developers (TTDB7024) 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 PostgreSQL for Database Developers (TTDB7024) 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 is an introductory level SQL course, appropriate for anyone needing to interface with an Oracle database or those needing a general understanding of Oracle database functionality. That would include end users, business analysts, application developers and database administrators. Overview Working in a hands on learning environment led by our expert practitioner, attendees will explore: Basic RDBMS Principles The SQL Language and Tools Using SQL Developer SQL Query Basics WHERE and ORDER BY Functions ANSI 92 Joins ANSI 99 Joins Subqueries Regular Expressions Analytics A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. A full presentation of the basics of relational databases and their use are also covered. Basic RDBMS Principles Relational design principles Accessing data through a structured query language Entity relationship diagrams Data Domains Null values Indexes Views Denormalization Data Model Review The SQL Language and Tools Using SQL*Plus Why Use SQL*Plus When Other Tools Are Available? Starting SQL*Plus EZConnect SQL Commands PL/SQL Commands SQL*Plus Commands The COLUMN Command The HEADING Clause The FORMAT Clause The NOPRINT Clause The NULL Clause The CLEAR Clause Predefined define variables LOGIN.SQL Command history Copy and paste in SQL*Plus Entering SQL commands Entering PL/SQL commands Entering SQL*Plus commands Default output from SQL*Plus Entering Queries What about PL/SQL? Using SQL Developer Choosing a SQL Developer version Configuring connections Creating A Basic Connection Creating A TNS Connection Connecting Configuring preferences Using SQL Developer The Columns Tab The Data Tab The Constraints Tab The Grants Tab The Statistics Tab Other Tabs Queries In SQL Developer Query Builder Accessing Objects Owned By Other Users The Actions Pulldown Menu Differences between SQL Developer and SQL*Plus Reporting Commands Missing In SQL Developer General Commands Missing In SQL Developer Data Dictionary report User Defined reports Using scripts in SQL Developer WHERE and ORDER BY WHERE clause basics Comparison operators Literals and Constants in SQL Simple pattern matching Logical operations The DUAL table Arithmetic operations Expressions in SQL Character operators Pseudo columns Order by clause basics Ordering Nulls Accent and case sensitive sorts Sampling data WHERE and ORDER BY in SQL Developer All, Any, Some Functions The basics of Oracle functions Number functions Character functions Date functions Conversion functions Other functions Large object functions Error functions The RR format mode; Leveraging your knowledge ANSI 92 JOINS Basics of ANSI 92 Joins Using Query Builder with multiple tables Table Aliases Outer joins Outer Joins In Query Builder Set operators Self-referential joins Non-Equijoins ANSI 99 Joins Changes with ANSI99 CROSS Join NATURAL Join JOIN USING JOIN ON LEFT / RIGHT OUTER JOIN FULL OUTER JOIN Subqueries Why use subqueries? WHERE clause subqueries FROM clause subqueries HAVING clause subqueries CORRELATED subqueries SCALAR subqueries DML and subqueries EXISTS subqueries Hierarchical queries TOP N AND BOTTOM N queries Creating subqueries using Query Builder Regular Expressions Available Regular Expressions Regular Expression Operators Character Classes Pattern matching options REGEX_LIKE REGEXP_SUBSTR REGEXP_INSTR REGEXP_REPLACE REGEXP_COUNT Analytics The WITH clause Reporting aggregate functions Analytical functions User-Defined bucket histograms The MODEL clause PIVOT and UNPIVOT Temporal validity More Analytics RANKING functions RANK DENSE_RANK CUME_DIST PERCENT_RANK ROW_NUMBER Windowing aggregate functions RATIO_TO_REPORT LAG / LEAD Linear Regression functions Inverse Percentile functions Hypothetical ranking functions Pattern Matching Additional course details: Nexus Humans Introduction to SQL Programming Basics (TTSQL002) 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 Introduction to SQL Programming Basics (TTSQL002) 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 geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.