1342 Health courses in Banstead delivered Live Online

Once you join one of our group classes at the studio you will participate in the warm-up, class and cool down.  You will be able to hear the instructor and the class however the instructor will not be able to interact with you.  This is purely a watch and learn class.

Duration 5 Days 30 CPD hours This course is intended for For those seeing to prepare for CCIE Enterprise Infrastructure certification Overview This course will help prepare for CCIE Enterprise Infrastructure certification The new CCIE Enterprise Infrastructure certification program prepares you for today?s expert-level job roles in enterprise infrastructure technologies. CCIE Enterprise Infrastructure now includes automation and programmability to help you scale your enterprise infrastructure. VTP VTP and different versions Pruning EtherChannel LACP Layer 2 and Layer 3 Spanning Protocol 1d, 802.1w, and 802.1s SPAN, RSPAN, and ERSPAN DMVPN All Phases Redundancy: Two Clouds One Hub Two Hubs one Cloud Two hubs two Clouds Running Routing Protocols DMVPN over MPLS EIGRP RD, CD, S, FC, FS, and FD Configuration, and hidden debugging Authentications: MD5, and SHA, Summarization Load Balancing:Equal Cost, Unequal Cost, Add-Path, Filtering, Default Route Injection Optimization: Query Propagation Boundary, IP FRR, STUB routing (All Options) Metric: Classic, Wide Metric Route Tags: Decimal and Dotted-Decimal Notations, OTP OSPFv2 Overview and special cases GRE or Virtual-Links LSAs, FA, and RFCs (1583, 1587, 2328, 3101, 5185 and many more) Best Path Selection Network Types Area Types Optimization: GTSM, LFA, Default Route Injection Authentication: RFC 2328, RFC 5709, Summarization, Filtering BGP States Establishing a Peer Session: Regular method,Peer-Groups,Templates,Best Path Selection Attributes: Weight, AS-Path, Origin, Next-Hop, Local-Preference, Atomic-Aggregate Communities, Aggregator, and MED Load Balancing: Equal Cost,Unequal Cost,Conditional Advertisement,Out/In Bound Route Filtering and the order,ORF,Multihoming Scenarios AS-Path Manipulation: Regexp,Local-as,Allow-as,Remove-Private-as Convergence and Scalability: Route Reflectors,Confederation,Aggregation (All Options) Other BGP Features: MultiPath,Add-Path,Route-Refresh,Soft Reconfiguration IPv6 Acquiring an IPv6 Address: IPv6 General Prefix SLAAC DHCPv6 Rapid-Commit Relay Prefix Delegation IPv6 and DMVPN EIGRPv6 OSPFv3: Both flavors, LSAs, RFCs BGP for IPv6: IPv6 transport, and IPv4 route exchange Transitional Solutions: NAT-PT,6VPE,Multicast,MLD,Static RP,BSR,Embedded RP,IPv6 Traffic Filters,RA Guard,ND Inspection MPLS LDP, VRFs, RD, and RT L3VPNs Route Leaking PE to CE Routing Security Control Plane Policing VACLs Storm Control DHCP Snooping IP Source Guard DAI Private VLANs Port Security Access-lists uRPF Device Tracking IPsec Identity Use Case For FlexVPN: Site-to-Site, IKEv1, and IKEv2 Using Preshared Keys 1x Port Base Authentication : Device Roles,Port States,Authentication Process,Host Modes Network Services FHRP: HSRP, VRRP, and GLBP NAT: Static NAT, and PAT,Dynamic NAT,Policy-Base NAT,VRF-Aware NAT,VASI NAT Software Defined Infrastructure Cisco SD Access: Design a Cisco SD Access solution Underlay network (IS-IS, manual/PnP) Overlay fabric design (LISP, VXLAN, Cisco TrustSec) Fabric domains (single-site and multi-site using SD-WAN transit) Cisco SD Access deployment: Cisco DNA Center device discovery and device management Add fabric node devices to an existing fabric Host onboarding (wired endpoints only) Fabric border handoff Segmentation Macro-level segmentation using VNs Micro-level segmentation using SGTs (using Cisco ISE) Assurance Network and client health (360) Monitoring and troubleshooting Cisco SD-WAN: Design a Cisco SD-WAN solution Orchestration plane (vBond, NAT) Management Plane (vManage) Control Plane (vSmart, OMP) Data Plane (vEdge/cEdge) WAN edge deployment Onboarding new edge routers Orchestration with zero-touch provisioning/PnP OMP TLOC Configuration templates Localized policies (only QoS) Centralized policies Application aware Routing Topologies

Duration 5 Days 30 CPD hours This course is intended for Developed for experienced IT Professionals working with Citrix Virtual Apps and Desktops 7.1x. Potential students include administrators, engineers, and architects responsible for the end user workspace, provisioning services environment, and overall health and performance of the solution. Overview How to configure Workspace Environment Management to improve the end user environment and virtual resource consumption Understand Zones in Citrix Virtual Apps and Desktops 7.1x and how to account for user and desktop locations and optimal connection and registration How to build and manage App Layers to minimize image sprawl with Citrix Virtual Apps and Desktops 7.1x Understand and configure HDX channels and protocols for improved performance delivering multimedia and data over network connections Get more value out of your Citrix Virtual Apps and Desktops 7.1x investment through the use of Workspace Environment Management, Provisioning Services, Application Layering, and advanced features. Students leave this course with a good understanding of how to manage more complex solutions such as multizone environments spanning multiple locations with configurations around StoreFront, the Delivery Controllers, and HDX. Students will gain the skills to improve logon times, user personalization, and resource performance through Workspace Environment Management. Also, learn to optimize management of your app and desktop images by building and combining App Layers. End the course by learning to install, configure, and manage Provisioning Services in accordance with leading practices.This course includes a voucher to take the related exam (1Y0-311 Citrix XenApp and XenDesktop 7.15 Advanced Administration) and earn your Citrix Certified Professional - Virtualization (CCP-V) certification. Implementing Redundancy and Scalability StoreFront and Citrix Gateway Site Infrastructure Machines Running the Virtual Delivery Agent Managing a Virtual Apps and Desktops Environment with Multiple Locations Zones VDA Registration in a Multi-Zone Environment Zone Preference Optimal Gateway Routing and Zones Managing StoreFront Store Subscriptions in a Multi- Location Environment StoreFront and Citrix ADC Branding Implementing Backups and Disaster Recovery Backups Disaster Recovery Considerations Disaster Recovery Process Implementing Advanced Authentication Methods Multi-factor Authentication - RADIUS & OTP Multi-factor Authentication - Smart Card Authentication Federated Authentication - ADFS, SAML, and FAS Improving App and Data Security Introduction to Application Security Preventing Jailbreak Attacks Minimizing the Impact of Attacks Securing Machines Running the Virtual Delivery Agent TLS to VDA Encryption GPOs and Citrix Policies Image Management Introduction to Troubleshooting Troubleshooting Methodology Process (Standard Slide) Resource Tools and Utilities Introduction to PowerShell Troubleshooting Access Issues Troubleshooting StoreFront Troubleshooting Citrix Gateway Troubleshooting Delivery Controller Issues Validating FMA Services Troubleshooting VDA Registration Issues Troubleshooting VDA Registration Troubleshooting HDX Connection Issues Troubleshooting HDX Connections Introduction to App Layering App Layering Introduction Architecture and How it Works Creating an OS Layer The OS Layer Creating a Platform Layer The Platform Layer Creating App Layers The App Layers Creating Elastic App and User Layers Elastic App Layering User Layers Deploying a Layered Image using Citrix Virtual Apps and Desktops Using Templates in App Layering Using Layered Images in a Citrix Virtual Apps and Desktops Site Exploring Layer Priority Layer Priority Maintaining an App Layering Environment Updating Layers Maintaining and Updating the App Layering Environment Common App Layering Considerations and Additional Resources Introduction to Workspace Environment Management (WEM) Workspace Environment Management (WEM) Introduction WEM Administration Using WEM to Centralize Managing User Resources with WEM Managing Profiles with WEM Managing Endpoints with the WEM Transformer Feature Using WEM for Performance Optimization Optimizing Machine Performance with WEM Optimizing User Experience with WEM Using WEM to Secure Environments WEM Environments Migrating and Upgrading WEM Migrating to WEM Upgrading a WEM Deployment WEM Multi-Location Considerations

Diabetes is serious. It can be life-threatening, however, people with diabetes can live long, healthy lives if their condition is kept well-controlled. In this training course, we explain what diabetes is and what to look out for. We cover how it is diagnosed and how to provide care and support to a person living with diabetes.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 5 Days 30 CPD hours This course is intended for System architects and system administrators Overview By the end of the course, you should be able to meet the following objectives: Introduce troubleshooting principles and procedures Use command-line interfaces, log files, and the vSphere Client to diagnose and resolve problems in the vSphere environment Explain the purpose of common vSphere log files Identify networking issues based on reported symptoms Validate and troubleshoot the reported networking issue Identify the root cause of networking issue Implement the appropriate resolution to recover from networking problems Analyze storage failure scenarios using a logical troubleshooting methodology identify the root cause of storage failure Apply the appropriate resolution to resolve storage failure problems Troubleshoot vSphere cluster failure scenarios Analyze possible vSphere cluster failure causes Diagnose common VMware vSphere High Availability problems and provide solutions Identify and validate VMware ESXiTM host and VMware vCenter problems Analyze failure scenarios of ESXi host and vCenter problems Select the correct resolution for the failure of ESXi host and vCenter problems Troubleshoot virtual machine problems, including migration problems, snapshot problems, and connection problems Troubleshoot performance problems with vSphere components This five-day training course provides you with the knowledge, skills, and abilities to achieve competence in troubleshooting the VMware vSphere© 8 environment. This course increases your skill level and competence in using the command-line interface, VMware vSphere© Client?, log files, and other tools to analyze and solve problems. Course Introduction Introductions and course logistics Course objectives Introduction to Troubleshooting Define the scope of troubleshooting Use a structured approach to solve configuration and operational problems Apply troubleshooting methodology to logically diagnose faults and improve troubleshooting efficiency Troubleshooting Tools Discuss the various methods to run commands Discuss the various ways to access ESXi Shell Use commands to view, configure, and manage your vSphere components Use the vSphere CLI Use ESXCLI commands from the vSphere CLI Use Data Center CLI commands Identify the best tool for command-line interface troubleshooting Identify important log files for troubleshooting vCenter Server and ESXi Describe the benefits and capabilities of VMware SkylineTM Explain how VMware Skyline works Describe VMware SkylineTM Health Describe VMware Skyline AdvisorTM Troubleshooting Virtual Networking Analyze and troubleshoot standard switch problems Analyze and troubleshoot virtual machine connectivity problems Analyze and troubleshoot management network problems Analyze and troubleshoot distributed switch problems Troubleshooting Storage Discuss the vSphere storage architecture Identify the possible causes of problems in the various types of datastores Analyze the common storage connectivity and configuration problems Discuss the possible storage problems causes Solve the storage connectivity problems, correct misconfigurations, and restore LUN visibility Review vSphere storage architecture and functionality necessary to troubleshoot storage problems Use ESXi and Linux commands to troubleshoot storage problems Analyze log file entries to identify the root cause of storage problems Investigate ESXi storage issues Troubleshoot VM snapshots Troubleshoot storage performance problems Review multipathing Identify the common causes of missing paths, including PDL and APD conditions Solve the missing path problems between hosts and storage devices Troubleshooting vSphere Clusters Identify and troubleshoot vSphere HA problems Analyze and solve vSphere vMotion problems Diagnose and troubleshoot common vSphere DRS problems Troubleshooting Virtual Machines Discuss virtual machine files and disk content IDs Identify, analyze, and solve virtual machine snapshot problems Troubleshoot virtual machine power-on problems Identify possible causes and troubleshoot virtual machine connection state problems Diagnose and recover from VMware Tools installation failures Troubleshooting vCenter Server and ESXi Analyze and solve vCenter Server service problems Diagnose and troubleshoot vCenter Server database problems Use vCenter Server Appliance shell and the Bash shell to identify and solve problems Identify and troubleshoot ESXi host problems

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Imposter Syndrome. It's a big topic, a much talked about issue. But, what does it mean to you? At Happy Human we like to get real about the difficult stuff that we face in our lives and we hope that you can join us for our this exciting opportunity to take a closer look at Imposter Syndrome, what it means for you and how you can begin to overcome it.

Stressed spelled backward is desserts, but it's no sweet treat in the real world! Ready to conquer stress and boost your well-being and productivity?  Join our Managing Stress Masterclass, where you'll unlock the secrets to a calmer, more focused you! 🔍 What's on the Menu? 1️⃣ Cracking the Stress Code Define stress and its many flavours (distress & eustress) Peek inside your body's stress playbook Eye-opening facts about stress in the UK workplace Why managing stress is your ticket to a happier, more productive life! 2️⃣ Spotting Stress from Miles Away Unmask the sneaky culprits of workplace stress How your personal life can stir up stress at work Red flags! Learn to spot stress symptoms 3️⃣ Your Stress-Busting Toolbox Master the art of mindfulness and meditation Rule your schedule with time management hacks Embrace a healthier lifestyle to crush stress Lean on your squad for support Rewire your brain with cognitive restructuring 🎁 What You'll Take Home: A deeper understanding of stress and its many disguises. A stress radar to spot trouble brewing. A treasure trove of proven stress-busting techniques. A handy takeaway PDF full of key insights and additional resources.

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.