19144 Courses delivered Online

Duration 5 Days 30 CPD hours Overview SDWAN Review Advanced Template Design and Troubleshooting Advanced Security Policies on vEdge and IOS-XE Platforms Advanced Local Policies on vEdge and IOS-XE Platforms Advanced Central Policies on vEdge and IOS-XE Platforms Advanced Troubleshooting of Policies on vEdge and IOS-XE Platforms In this Advanced Lab focused SDWAN Course, Students willExplore and Troubleshoot the initials environmentLearn Advanced Techniques to Deploy Templates with the theme of reusabilityDeploy and Troubleshoot Transport BridgingDeploy and Troubleshoot Routing including OSPF, BGP, EIGRPDeploy and Troubleshoot Multicast RoutingDesign, Configure, and Troubleshoot Advanced Security PoliciesDesign, Configure, and Troubleshoot Local PoliciesDesign, Configure, and Troubleshoot Application Aware RoutingDesign, Configure, and Troubleshoot Quality of ServiceDesign, Configure, and Troubleshoot Central Policies Including Hub Spoke, Full Mesh and Custom TopologiesDesign, Configure, and Troubleshoot Central Policies Including Service ChainingDesign, Configure, and Troubleshoot Central Policies Including Traffic Rules & CFLOW Cisco SD-WAN Overview Dashboard SD-WAN Architecture SD-WAN WAN Edges SD-WAN Controllers SD-WAN Fabric SD-WAN Advanced Settings Advanced Controller Settings Overlay and vEdge Recommended Settings Forward Error Correction (FEC) Packet Duplication System IP Design LTE Operation SD-WAN High Availability Controller High Availability Controller Scalability Active vManage, Backup Inactive vManage Clustering vManages Disaster Recovery SD-WAN Templates Template Overview Future Templates Device template using Future Templates Device template using CLI Templates Designing templates for Reusability Attaching Devices to Templates Bridging Transparent Bridging Bridging Template Configuration cEdge Bridging Template Configuration vEdge Bridging Template Configuration Monitoring Bridging Routing Protocols Static Routes Dynamic Routing Protocols Multicast Multicast Terms Requirements vEdge Multicast Support cEdge Multicast Support Multicast RPs Multicast Replicators PIM IGMP Network Optimization Optimization Overview TCP Optimization vEdge Optimization Requirements vEdge Optimization Implementation cEdge (IOS-XE) Optimization Requirements cEdge (IOS-XE) Optimization Implementation AppNAV Per Tunnel QoS Direct Internet Access (DIA) Overview SD-WAN Direct Internet Access (DIA) SD-WAN DIA Requirements SD-WAN Direct Internet Access Use Cases SD-WAN Direct Internet Access Design Components SD-WAN Direct Internet Access Design Considerations SD-WAN Direct Internet Access Failover Scenarios Cisco SD-WAN Direct Internet Access Monitoring Unified Communications Voice Integration in SD-WAN Voice Feature Templates Voice Policies IOS-XE UC Device Template SD-WAN Security Policy Authentication/Encryption/Integrity Firewall IPS (Snort) URL Filtering Web Layer Security Pairwise IPsec Keys SD-WAN Local Policy Policy Configuration Overview Policy Framework-Localized Policies Local Control Policy Local Control (Route) Policy Localized Control Policy Configuration Local Data Policy Configure Localized Data Policy for IPv4 SD-WAN Central Policy Policy Creation and Management Guidelines Centralized Data Policies Application Aware Routing Service Chaining Traffic Flow Monitoring with Cflowd Policy Construction Platform Support and Scalability SDWAN Migration Sequence of Migration Migration Planning DC/Hub Site Migration Branch/Spoke Site Migration Additional course details: Nexus Humans ADV-SDWAN-CT - Advanced Cisco SD-WAN Routing, Templates, Policy Configure, and Tshoot 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 ADV-SDWAN-CT - Advanced Cisco SD-WAN Routing, Templates, Policy Configure, and Tshoot 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 geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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 The primary audience for this course are Business Process Architects, Developers, Developer Consultants, System Administrators, System Architects, and Technology Consultants. Overview The participants will learn to configure scenariosUnderstand and configure the different options with which a back-end system can be connected to the SAP Process Integration (formerly known as SAP Exchange Infrastructure). In this course, students gain knowledge in configuring SAP Process Integration and learn how to implement different integration scenarios with SAP and non-SAP applications. SAP Process Integration Architecture Describing SAP Process Integration Architecture Explaining the Functionality and Utilization of SAP Process Integration The System Landscape Directory (SLD) Maintaining Products and Software Components in the System Landscape Directory (SLD) Implementing Technical Systems in the System Landscape Directory Maintaining Business Systems for Use in the Integration Directory Interface Objects in the Enterprise Service Repository (ESR) Listing Options for Navigating the Enterprise Services Repository (ESR) Analyzing Interface Objects in the Enterprise Services Repository (ESR) Maintaining Interface Objects Defining Message Processing Types and Quality of Services Object Mapping in the Enterprise Service Repository (ESR) Creating Message Mapping Objects Mapping Between Service Interfaces Analyzing Asynchronous Integration Scenarios Configuration of Integration Directory Communication Objects Using Configuration Views Creating Communication Channels in the Integration Directory (ID) Configuration of Integration Directory Objects for ABAP Processing Analyzing Objects Used in the Configuration of Integration Engine (IE) Communication Analyzing Routing Objects Used in Integration Engine (IE) Communication Analyzing Multiple Receiver Objects Used in Integration Engine (IE) Communication Configuration of Integration Directory Objects for Java Processing Maintaining Objects for Advanced Adapter Engine (AAE)-Only Processing Maintaining Objects for Advanced Adapter Engine Extended (AEX) Message Processing Creating and Deploying Integration Flows to the Advanced Adapter Engine Extended (AEX) Operations of SAP Process Integration Using the Runtime Workbench Using the Process Integration Monitoring (PIMon) Home Using the SAP NetWeaver Administrator Connectivity Options for SAP Process Integration Analyzing Connectivity Options between Back-End Systems with SAP Process Integration HTTP Connectivity Options Configuring the Simple Object Access Protocol (SOAP) Adapter Using Proxy Technology Checking the HTTP ABAP Adapter Using the HTTP_AAE (Java) Adapter File Adapter Configuration Configuring the Receiver File Adapter Configuring a Sender File Adapter Intermediate Document (IDoc) Connectivity Options Using the Intermediate Document (IDoc) Adapter with the Receiver Intermediate Document Adapter for the ABAP Stack Using the Sender Intermediate Document (IDoc) Adapter Using the Intermediate Document (IDoc) Adapter in the Advanced Adapter Engine (AAE) Configuring a Complete Intermediate Document (IDoc) Scenario Configuration of SAP Business Application Programming Interfaces (BAPIs) Connectivity Configuring the Receiver Remote Function Call (RFC) Adapter Configuring the Sender Remote Function Call (RFC) Scenario Enterprise Services and B2B Connectivity Analyzing Enterprise Services Configuring Business-to-Business (B2B) Connectivity Cross-Component Business Process Management (ccBPM) Integration Processes Analyzing the Runtime of the Cross-Component Business Process Management (ccBPM) Identifying the Steps to Create and Use an Integration Process Additional course details: Nexus Humans BIT400 SAP Process Integration 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 BIT400 SAP Process Integration 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 Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine. Overview Configure VPC networks and virtual machines Administer Identity and Access Management for resources Implement data storage services in GCP Manage and examine billing of GCP resources Monitor resources using Stackdriver services Connect your infrastructure to GCP Configure load balancers and autoscaling for VM instances Automate the deployment of GCP infrastructure services Leverage managed services in GCP This class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. Introduction to Google Cloud Platform List the different ways of interacting with GCP Use the GCP Console and Cloud Shell Create Cloud Storage buckets Use the GCP Marketplace to deploy solutions Virtual Networks List the VPC objects in GCP Differentiate between the different types of VPC networks Implement VPC networks and firewall rules Design a maintenance server Virtual Machines Recall the CPU and memory options for virtual machines Describe the disk options for virtual machines Explain VM pricing and discounts Use Compute Engine to create and customize VM instances Cloud IAM Describe the Cloud IAM resource hierarchy Explain the different types of IAM roles Recall the different types of IAM members Implement access control for resources using Cloud IAM Storage and Database Services Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable Choose a data storage service based on your requirements Implement data storage services Resource Management Describe the cloud resource manager hierarchy Recognize how quotas protect GCP customers Use labels to organize resources Explain the behavior of budget alerts in GCP Examine billing data with BigQuery Resource Monitoring Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring Use Stackdriver Debugger to identify and fix errors Interconnecting Networks Recall the GCP interconnect and peering services available to connect your infrastructure to GCP Determine which GCP interconnect or peering service to use in specific circumstances Create and configure VPN gateways Recall when to use Shared VPC and when to use VPC Network Peering Load Balancing and Autoscaling Recall the various load balancing services Determine which GCP load balancer to use in specific circumstances Describe autoscaling behavior Configure load balancers and autoscaling Infrastructure Automation Automate the deployment of GCP services using Deployment Manager or Terraform Outline the GCP Marketplace Managed Services Describe the managed services for data processing in GCP Additional course details: Nexus Humans Architecting with Google Compute Engine 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 Architecting with Google Compute Engine 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 for network and system administrators, IT managers, IT support personnel, and other network operations staff who are responsible for deploying new computers across their organizations, managing ongoing software and hardware configuration tasks for computers, and retiring outdated computers. Overview By the completion of this course, you will be able to: Install and configure Ghost Solution Suite 3.0. Use the Ghost Console to create and use jobs and tasks to manage computes. Configure image deployments. Manage ?unknown? and predefined computers. Perform disk wipes and create disk partitions. Create Windows scripted OS installations. Create PC transplant templates. Capture a computer personality, and deploy personality packages. Perform a computer migration from Win 7 to Win 8.1. This course is designed for the professional tasked with installing, configuring, and managing a Deployment Solution system. Overview of Endpoint Lifecycle Management Introduction to Endpoint Lifecycle Management Phases of Endpoint Lifecycle Management ELM Business Objectives and Goals ELM Solution Mapping to Business Objectives Ghost Solution Suite 3.0 Product Overview Implementation Assessment ELM Requirements Gathering Solution Analysis of ELM Requirements Implementation Design GSS 3.0 Technical Overview Installation Options and Prerequisites Defining the Solution Infrastructure Defining the ELM Solution Configuration Installation and Configuration of the ELM Solution Base Software Installation Navigating the Console Core & Solution Configuration Driver Management Pre-boot Environment Endpoint Identification & Gathering IT Requirements Overview Analyzing and Defining IT Requirements Using ELM to Forecast IT Requirements Endpoint Configuration Standards Endpoint Standards Overview Defining Endpoint Standards Implementation of Endpoint Standards Endpoint Provisioning Endpoint Provisioning Overview Standard Build and Image Methodology Software Compatibility Analysis Software Packaging requirements for use in the ELM Solution Software Quality Assurance Methodology Endpoint Deployment & Staging Endpoint Lifecycle Automation Endpoint Lifecycle Automation Scenario Exercise Backup and restore Automating the backup of a computer image Scripted OS Installation Capturing an image for deployment Automating the creation of a master image Automating the deployment of computer images Software Distribution Software Delivery Methods Software Installation Methods Understanding Software Delivery Reporting and Analysis of Software Distribution Tasks Image and Build Maintenance Image maintenance overview Restoring a computer image Capturing the updated image Updating Jobs Managing Software Upgrades Software Upgrade Process Overview Distribution of Software Updates Supporting the Business Ensuring Business Continuity in an ELM System Endpoint Restoration/Recovery Managing Service Support Activities Endpoint Monitoring & Alerting Endpoint Configuration & Maintenance Automating Problem Resolution Application Self-Healing Desired State Management Hardware Refresh & Migration Hardware Refresh & Migration Process Overview Personality Capture and Restore Gathering Current State Inventory for Requirements and Planning Activities Performing Data capture and storage activities Gathering User state or PC personality information Automating the Migration Process Endpoint Retirement/Disposal Ensuring Compliant Disposal Methods and Procedures End to End Endpoint Lifecycle Use Case Endpoint Management Lifecycle Use Case for GSS Additional course details: Nexus Humans Symantec Ghost Solution Suite 3.0 - 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 Ghost Solution Suite 3.0 - 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 2 Days 12 CPD hours This course is intended for Network professionals and who design, build, operate, manage, and troubleshoot software-defined networking and security, and application owners who need visibility across multi-cloud environments Overview By the end of the course, you should be able to meet the following objectives: Explain the features and architecture of vRealize Network Insight Describe the vRealize Network Insight installation processes and requirements Navigate the vRealize Network Insight GUI Describe major use cases for vRealize Network Insight and their benefits Deploy vRealize Network Insight Use vRealize Network Insight to monitor, operate, analyze, and troubleshoot the infrastructure supporting your applications This two-day, hands-on course gives you the skills to deploy and use VMware vRealize© Network Insight? to ensure an optimized, highly available, and secure infrastructure for your applications. You will learn the features, components, architecture, and benefits of vRealize Network Insight and how to use it to simplify daily operation and troubleshooting tasks. Course Introduction Introductions and course logistics Course objectives Introduction to vRealize Network Insight Identify the use cases for vRealize Network Insight Access the vRealize Network Insight Home page View vRealize Network Insight entity data Perform searches for specific entity data Create entity search queries Find and use event data vRealize Network Insight Architecture and Components Identify the components of vRealize Network Insight Describe the function of each component and how the components interact Check the health of vRealize Network Insight components vRealize Network Insight Installation Deploy vRealize Network Insight components Configure the pairing relationship between the platform VM and the collector VM Troubleshoot platform VM and collector VM configuration problems Explain how data sources export flow information Add VMware vCenter Server© to vRealize Network Insight Add a VMware NSX-T© data source to vRealize Network Insight Configure IPFIX Distinguish between the mechanisms used to scale vRealize Network Insight Select the appropriate scaling mechanism for your environment Describe how clusters are expanded Integrate VMware vRealize© Operations? with vRealize Network Insight Import a vRealize Network Insight instance into VMware vRealize© Suite Lifecycle Manager? vRealize Network Insight Use Cases Explain use cases for vRealize Network Insight Create vRealize Network Insight applications Perform application discovery Plan and optimize micro-segmentation and security for applications Explain the use of flow analytics Use flow information from physical devices in security planning Generate virtual machine path topologies between entities using flows Extract useful information from path topologies Validate NSX-T and NSX for vSphere deployments Monitor and troubleshoot NSX-T events Operations and Troubleshooting Common Issues Perform vRealize Network Insight operations by using VMware vSphere© tags Use the flow analytics dashboards to perform flow analysis Set and configure thresholds to identify aberrations in the behavior of entities Use vRealize Network Insight tools to troubleshoot common problems Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Network Insight: Install, Configure, Manage [v6.1] 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 vRealize Network Insight: Install, Configure, Manage [v6.1] 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 primary audience for this course is as follows: Cisco Partners and customers interested in the Catalyst 9800 wireless controller Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe Cisco Catalyst 9800 Understand the Benefits for Catalyst 9800 Configure Catalyst 9800 Migrate to the Catalyst 9800 Troubleshoot the Catalyst 9800 Understand and Discuss WIFI6 Configuring Cisco Catalyst 9800 and Intro to WIFI6 v1.0 is a three-day course designed to help students understand how the Catalyst 9800 Series wireless controllers combine the best of RF excellence with IOS XE benefits. This course begins with a description of the Cisco Catalyst 9800 and its benefits while introducing the learner to WIFI6. The configuration, migration, and troubleshooting will also be covered in this instructor-led course. Introduction Cisco Catalyst 9800 Overview Intent Based Networking (IBN) Cisco Catalyst Next Gen Wireless Architecture Cisco Catalyst 9800 Wireless ? Platform Support Cisco Catalyst 9800 Wireless Controller Appliances Cisco Catalyst 9800 Wireless Controller Series: C9800-80-K9 Cisco Catalyst 9800 Wireless Controller Series: C9800-40-K9 Cisco Catalyst 9800 Wireless Controller Cloud Series: C9800-CL-K9 Cisco Catalyst 9800 use in Private and Public Cloud Environments Private Public Hybrid What is WiFi 6 and Why do we need it? Use Cases ? how WiFi 6 will change Buisness and Industry WIFI6 technical ? a leap from previous WiFi technologies Design Considerations Cisco WiFi6 Portfolio and Interoperability Configure WiFi6 on Cat 9800 Cisco Catalyst 9800 Series Embedded Controller for SDA SD-Access Everywhere Wireless Assurance with DNA Center Catalyst 9800 SD-Access Wireless Catalyst 9800 SD-Access Embedded Wireless Controllers High Availability Reducing downtime for Upgrades and Unplanned Events High Availability (Client SSO) High Availability (AP & Client SSO) Software Updates Software Updates SSO Patching Rolling Upgrades Wireless Controller SMU Rolling AP Update Image Upgrade Programmability and Telemetry Flexible management options with Cisco Catalyst 9800 Wireless Controllers Wireless Programmability ?Stack? Config vs Operational YANG data models Model Driven Telemetry Security and Threat Detection Intent-based wireless networks Security Security and Threat Mitigation Catalyst 9800 Wireless Controller Configuration Model New Configuration Model AireOS vs. Catalyst 9800 Config Model Catalyst 9800 Config Model Wireless Basic Setup Wireless Basic Configuration Model Adding Local Site Adding Remote Site Provisioning APs to Site Day 0 AP PnP Wireless Advanced Guided UI Configuration Workflow WLAN Profile Policy Profile AP Join profile RF Profile Static and Rule-Based AP Tagging Migration AireOS Config Translator Using the Tool Migration using Prime AireOS Config Translator on PI 3.5 Troubleshooting IOS-XE logging architecture Packet tracing and packet captures Embedded Packet Capture web interface Useful commands and tools Additional course details: Nexus Humans Cisco Configuring Cisco Catalyst 9800 and Intro to WIFI6 (C98WF6) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Configuring Cisco Catalyst 9800 and Intro to WIFI6 (C98WF6) 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 geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for A prior understanding of EU Data Protection legislation is recommended. Candidates are typically management professionals and decision-makers who already have responsibility for data protection compliance within their organisation.Co-Requisite Subjects Candidates should have a good understanding of their own organisation?s data management activities through the life cycle from initial acquisition, through the various areas of processing and usage, to eventual removal or destruction. Overview To equip the learner with a foundational understanding of the principles of the General Data Protection Regulation (GDPR) and to provide constructive suggestions on implementing compliant processes. The social, historical and legal background leading to the General Data Protection Regulation (GDPR) The scope and global context of the GDPR The key concepts within the GDPR The definition of all key words and phrases relating to this Data Protection regulation Principle One: The criteria governing fair, open and transparent processing of personal data Principle Two: Purpose Limitation, the challenge of limiting the processing within the context of specified and lawful purposes Principle Three: Minimisation of processing, and ensuring that only that data is processed which is necessary to achieve the purpose. Principle Two: Purpose Limitation, the challenge of limiting the processing within the context of specified and lawful purposes Principle Three: Minimisation of processing, and ensuring that only that data is processed which is necessary to achieve the purpose. Principle Four: Ensuring that any personal data held by the organisation is kept accurate and current, and that any processing of such data is appropriate Principle Five: Management and storage of personal data in a manner that meets regulatory obligations, while minimising the time that the individual remains identifiable Principle Six: The criteria governing safe, secure and confidential processing of personal data in order to protect its integrity Principle Seven: The key roles, responsibilities and accountabilities of those involved in Data Management within an organisation Establishment within a single Member State Joint Controllers Privacy by Design and by Default Nominated Representatives Third-party Contracts and shared liability Logging of data management processes Data Breach Notification obligations Privacy Impact Assessments Overseas transfer of personal data L2.8 The Data Subject Rights, and their implications for the Data Controller and the Data Processor L2.8.1 The ?right to be forgotten? L2.8.2 The right to restriction of processing L2.8.3 The right to object to certain processing L2.8.4 The right to have inaccurate data amended or erased L2.8.5 The right to data portability L2.8.6 The right of access to one?s personal data L2.8.7 Rights in relation to automated decision-making and profiling The role of the Data Protection Officer (DPO) The role of the Data Protection Officer (DPO) Criteria for designating a DPO Tasks of the DPO Position of the DPO within the organisation The role of the Supervisory Authority within the Member State The Lead Supervisory Authority and independence Investigative, corrective and advisory powers Independence of the Supervisory Authority Collaboration with other Supervisory Authorities Codes of Conduct and Certification The role, powers and tasks of the European Data Protection Board (EDPB) The remedies, liabilities and penalties available under the GDPR Right to raise a complaint Right to representation Right to effective judicial remedy Right to compensation and liability Administrative fines of up to ?10m or 2% of GAT Administrative fines of up to ?20m or 4% of GAT Provisions for specific processing situations Freedom of Expression Processing of official documents Processing of National Identification Numbers Processing regarding employment Processing for archiving purposes Processing under obligations of official secrecy Processing of data by religious organisations Preparing for implementation of the GDPR Review of data management policies and procedures Review of data assets and security structures Training and Awareness-raising Data management governance structures Embedding Privacy By Design and Default Codes of Conduct and Certification against standards Breach detection and notification procedures Review of third-party agreements, contracts

Duration 3 Days 18 CPD hours This course is intended for Network Security Operations Workload Application Administrators Security Operations Field Engineers Network Engineers Systems Engineers Technical Solutions Architects Cisco Integrators and Partners Overview After taking this course, you should be able to: Define the Cisco telemetry and analytics approach. Explore common scenarios that Cisco Tetration Analytics can solve. Describe how the Cisco Tetration Analytics platform collects telemetry and other context information. Discuss how relative agents are installed and configured. Explore the operational aspects of the Cisco Tetration Analytics platform. Describe the Cisco Tetration Analytics support for application visibility or application insight based on the Application Dependency Mapping (ADM) feature. List the concepts of the intent-based declarative network management automation model. Describe the Cisco Tetration policy enforcement pipeline, components, functions, and implementation of application policy. Describe how to use Cisco Tetration Analytics for workload protection in order to provide a secure infrastructure for business-critical applications and data. Describe Cisco Tetration Analytics platform use cases in the modern heterogeneous, multicloud data center. List the options for the Cisco Tetration Analytics platform enhancements. Explain how to perform the Cisco Tetration Analytics administration. This course teaches how to deploy, use, and operate Cisco© Tetration Analytics? platform for comprehensive workload-protection and application and network insights across a multicloud infrastructure. You will learn how the Cisco Tetration Analytics platform uses streaming telemetry, behavioral analysis, unsupervised machine learning, analytical intelligence, and big data analytics to deliver pervasive visibility, automated intent-based policy, workload protection, and performance management. Exploring Cisco Tetration Data Center Challenges Define and Position Cisco Tetration Cisco Tetration Features Cisco Tetration Architecture Cisco Tetration Deployment Models Cisco Tetration GUI Overview Implementing and Operating Cisco Tetration Explore Data Collection Install the Software Agent Install the Hardware Agent Import Context Data Describe Cisco Tetration Operational Concepts Examining Cisco Tetration ADM and Application Insight Describe Cisco Tetration Application Insight Perform ADM Interpret ADM Results Application Visibility Examining Cisco Tetration Intent-Based Networking Describe Intent-Based Policy Examine Policy Features Implement Policies Enforcing Tetration Policy Pipeline and Compliance Examine Policy Enforcement Implement Application Policy Examine Policy Compliance Verification and Simulation Examining Tetration Security Use Cases Examine Workload Security Attack Prevention Attack Detection Attack Remediation Examining IT Operations Use Cases Key Features and IT Operations Use Cases Performing Operations in Neighborhood App-based Use Cases Examining Platform Enhancement Use Cases Integrations and Advanced Features Third-party Integration Examples Explore Data Platform Capabilities Exploring Cisco Tetration Analytics Administration Examine User Authentication and Authorization Examine Cluster Management Configure Alerts and Syslog Additional course details: Nexus Humans Cisco Implementing Cisco Tetration Analytics v1.0 (DCITET) 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 Implementing Cisco Tetration Analytics v1.0 (DCITET) 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.