1670 Architecture courses

GDPR - Your Passport to Data Privacy's Evolving Landscape! The digital realm hums with the constant exchange of information, and safeguarding it has become paramount. The EU's General Data Protection Regulation (GDPR) stands as a cornerstone in this data-driven era, empowering individuals with control over their personal information and dictating responsible business data handling. Mastering its intricacies unlocks a wealth of opportunities in this burgeoning field. Consider these staggering figures: the UK data protection market alone is forecast to reach a staggering £8.8 billion by 2025, fuelled by the ever-growing need for GDPR compliance expertise. This translates to a thriving job market ripe for savvy individuals with the necessary knowledge. Empower yourself, safeguard data, and unlock your potential in the ever-evolving world of data privacy. Enrol in the GDPR Certificate course today and take your first step towards a rewarding career in this crucial domain. You will Learn The Following Things: Grasp the core aim and guiding principles of the GDPR. Navigate the nuances of data processing, consent mechanisms, and individual rights. Understand the roles and responsibilities of data controllers and processors. Implement robust data security measures to safeguard personal information. Fulfil the obligations of processors under the GDPR framework. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this GDPR Certificate. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the GDPR Certificate course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? Business owners and managers: Ensure your enterprise confidently navigates GDPR compliance. Data protection professionals: Enhance your skillset and stay ahead of the curve in this dynamic field. IT Specialists: Deepen your understanding of data security best practices. Marketing and Sales Professionals: Gain essential knowledge for responsible data-driven campaigns. HR Professionals: Equip yourself to handle employee data with utmost accuracy and compliance. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the GDPR Certificate course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path Data Protection Officer: £45K to £75K/year. GDPR Consultant: £35K to £55K/year. Privacy Analyst: £30K to £45K/year. Information Security Specialist: £28K to £40K/year. Compliance Manager: £40K to £60K/year. Course Curriculum Module 01: GDPR Aim Module 01: GDPR Aim 00:30:00 Module 02: GDPR Definition and Principles Module 02: GDPR Definition and Principles 00:30:00 Module 03: Processing, Consent and Subject Rights Module 03: Processing, Consent and Subject Rights 00:30:00 Module 04: Data Controller, Security and Processor Obligations Module 04: Data Controller, Security and Processor Obligations 00:30:00

Duration 5 Days 30 CPD hours This course is intended for This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe network architectures, devices, and software used by service providers Describe the various Internet governance organizations, their roles, and tools available for governance information verification Configure Cisco Internetwork Operating System (Cisco IOS) and Cisco IOS XE routers Describe Cisco IOS XR software, perform initial configuration, and explain platform daily tasks Describe various access and core technologies used by service providers Describe various major switching technologies used by service providers Describe major overlay technologies and their usage, and configure Virtual Extensible LAN I (VxLAN) Describe various major routing protocols used by service providers Configure Layer 3 services used by service providers Describe Multiprotocol Label Switching (MPLS), components, protocols, and MPLS usage Describe usage of various services used and maintained by service providers Introduce Linux networking, Bourne Again Shell (BASH) scripting, and their usage within Cisco IOS XR software This course is designed to provide you with the foundational knowledge for the suite of Cisco© CCNP© Service Provider courses. The course expands what you learned from the Cisco CCNA© course with a focus on theoretical and practical knowledge needed for the Service Provider environment. Through a combination of lessons and hands-on practice, you will learn about architectures, protocols, software and hardware platforms, and solutions within the Service Provider realm. While this course does not lead directly to a certification exam, it does cover foundational knowledge critical to the success in the Service Provider Technology track. Course Outline Introducing Service Provider Architectures Describing Internet Governance Organizations Configuring the Cisco IOS and Cisco IOS XE Router Configuring Cisco IOS XR Router Introducing Access and Core Technologies in the Service Provider Environment Introducing Routing Technologies in the Service Provider Environment Describing MPLS Implementing Layer 3 Services Introducing Switching Technologies in the Service Provider Environment Introducing Overlay Technologies Implementing Service Provider Services Introducing Programmability on Cisco IOS XR Routers Lab outline Review Lab Environment Examine Governance Data Perform an Initial Cisco Internetworking Operating System (IOS XE) Configuration Configure Connectivity and Connectivity Verification on Cisco IOS XE Devices Perform Initial Cisco IOS XR Configuration Configure and Verify Connectivity on Cisco IOS XR Configure Intermediate System to Intermediate System (IS-IS) Configure Routing Information Protocol (RIPv2) and RIP extension (RIPng) Configure Basic Border Gateway Protocol (BGP) Configure MPLS Configure Internet Protocol Service Level Agreement (IP SLA) Configure Hot Standby Router Protocol (HSRP) with Object Tracking Configure Virtual Routing and Forwarding (VRFs) Configure Network Time Protocol (NTP) Use Linux Command Line Interface Configure IOS XR Using a Bash Script

Duration 2 Days 12 CPD hours This course is intended for The target audience for the DevOps Engineering Foundation course are individuals involved in engineering and technical practices such as: DevOps Practice owners and process designers Developers, QA engineers and Managers who are interested in understanding how DevOps works. Employees and managers responsible for engineering or improving processes. Consultants guiding their clients through process improvement and DevOps initiatives. Anyone responsible for: Managing process-related requirements Ensuring the efficiency and effectiveness of processes Maximizing the value of processes Overview The learning objectives for DevOps Engineering Foundation include an understanding of: How to engineer DevOps solutions DevOps Technologies Applications Architectures Continuous Integration Continuous Testing Ephemeral Elastic Infrastructures Continuous Delivery and Deployment Metrics, Monitoring, Observability and Governance DevOps Humans Future Trends This course explains the many aspects of DevOps engineering that leaders and practitioners can execute upon. While DevOps Foundation provides an overview of DevOps, this course will provide a closer look at the implementation process from an engineering perspective. It is an in depth view of the major aspects of engineering DevOps. An engineering approach is critical to DevOps journeys. This course provides the foundations of knowledge, principles and practices from a technical perspective needed to engineer a successful DevOps solution. DevOps Engineering Introduction DevOps Foundations Principles and Practices Related Frameworks Performance and Benefits DevOps Technology Source and Artifacts Control CI/CD pipelines Tools and Toolchains Application Release Automation Value Stream Management Applications Architectures and Continuous Integration Application Architectures Containers Continuous integration Continuous Testing CT Tenets Test creation & TDD Test acceleration Test results Test management Test environment management Ephemeral Elastic Infrastructures Virtual and Cloud Configuration management Infra-as-code Containers Orchestration GitOps Continuous Delivery and Deployment Continuous Delivery and Deployment Release Automation Deployment Strategies Metrics, Monitoring, Observability, Governance DevOps Metrics Monitoring Observability Governance DevOps Engineering Humans Culture Team Topologies Continuous Learning Future DevOps Trends Additional course details: Nexus Humans DevOps Engineering Foundation (DevOps Institute) 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 DevOps Engineering Foundation (DevOps Institute) 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 ideal for those who regularly deploy or manage Meraki networks and want to deepen their technical expertise and understanding of the full Meraki product suite and features. This may include professionals with job titles or in roles such as: Consulting Systems Engineer Deployment Engineer Network Administrator Network Manager Network Engineer Site Reliability Engineer Systems Engineer Technical Solutions Architect Wireless Design Engineer Wireless Engineer Overview After completing the course, you should be able to: Plan new Cisco Meraki architectures and expand existing deployments Design the network for scalable management and high availability Describe how to automate and scale Meraki deployments with dashboard tools Use dynamic routing protocols to expand networks and improve WAN performance Describe proper QoS, policy and performance-based routing configurations across a Cisco Meraki network and WAN optimization through traffic shaping Describe Virtual Private Network (VPN) and Wide Area Network (WAN) topologies and how to integrate them Secure, expand, and shape the network Implement switched network concepts and practices, and configure guests networks Implement wireless configurations concepts and practices Describe endpoint management concepts and practices using Cisco Meraki Systems Manager Describe physical security concepts and practices Gain network insight by monitoring applications Describe how to prepare monitoring, logging, and alerting services Set up reporting and auditing capabilities in the Cisco Meraki dashboard Monitor and troubleshoot issues using Cisco Meraki tools The course, Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 elevates your knowledge of Cisco© Meraki? technology suite. In this advanced technical training course, you?ll learn how to plan for network deployments and integrations using the Cisco Meraki platform. Through practical hands-on instruction and experiences, you will learn how to operate Meraki networks and troubleshoot complex network incidents using the Meraki Dashboard and analytics. You will also learn how to design Meraki architectures for redundancy, high-density, and scalability by implementing comprehensive Meraki product features to meet design objectives. This course is the second of two courses that prepares you for Cisco Meraki certification. Course Outline Planning new Cisco Meraki architectures and expanding existing deployments Designing for scalable management and high availability Automating and scaling Meraki deployments Designing routing and practices on the Meraki platform Describing Quality of Service (QoS) and traffic shaping design Building VPN and WAN topologies Securing, expanding, and shaping the network Describing network concepts and practices Implementing wireless configuration practices and concepts Describing Endpoint management concepts and practices Describing physical security concepts and practices Gaining network insight through monitoring applications Preparing monitoring, logging, and alerting services Setting up reporting and auditing capabilities in the Cisco Meraki Dashboard Gaining visibility and resolving issues using Meraki features and built-in troubleshooting tools Additional course details: Nexus Humans Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 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 Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 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 Experienced system administrators and network administrators Network and security professionals who work with enterprise and data center networks Overview By the end of the course, you should be able to meet the following objectives: Contrast NSX-T Data Center and NSX Data Center for vSphere architectures Understand the networking and security features of NSX-T Data Center Compare end-to-end and lift-and-shift migration approaches Identify common fixed network topologies supported in end-to-end migrations Perform end-to-end migrations for fixed and user-defined topologies Describe other migration modes supported by the migration coordinator Describe lift-and-shift migration techniques Troubleshoot common problems with end-to-end and lift-and-shift migrations Describe the steps to perform a cross-vCenter NSX to NSX Federation migration This three-day, hands-on training course provides you with the skills, techniques, and tools required to successfully migrate your current VMware NSX© Data Center for vSphere© environment to VMware NSX-T? Data Center. You will learn to choose between different migration approaches and how to perform the type of migration that best suits your current environment. In addition, you are presented with common migration problems and resolutions. Course Introduction Introduction and course logistics Course objectives Introduction to NSX-T Data Center Describe the motivation for migrating to NSX-T Data Center Contrast NSX-T Data Center and NSX Data Center for vSphere architectures Describe the logical switching components in NSX-T Data Center Describe the components and functions of NSX-T Data Center logical routing Describe the security features of NSX-T Data Center Explain the implementation of networking services in NSX-T Data Center Migration Approaches Describe the end-to-end migration approach Describe the lift-and-shift migration approach Compare the migration approaches Determine the best migration strategy based on customer requirements Fixed Topologies for Migration Identify the NSX Data Center for vSphere fixed network topologies that can be migrated to NSX-T Data Center without a user-defined topology Explain how network and security objects from the fixed topologies are translated from NSX Data Centerfor vSphere to NSX-T Data Center End-to-End Migration Describe the prerequisites for end-to-end migration Prepare the NSX Data Center for vSphere environment for migration Prepare the NSX-T Data Center environment for migration Migrate the NSX Data Center for vSphere environment with the migration coordinator using a fixed topology Migrate the NSX Data Center for vSphere environment with the migration coordinator using a user-defined topology Perform postmigration tasks Other Migration Modes Describe the steps to migrate NSX Data Center for vSphere when integrated with VMware vRealize Automation Describe the Edge Cutover migration mode Describe the Distributed Firewall migration mode Describe the Distributed Firewall, Host, and Workload migration mode Describe the vSphere Networking migration feature Lift-and-Shift Migration Describe the prerequisites for lift-and-shift migrations Configure L2 bridging in preparation for lift-and-shift migrations Migrate the network and security configuration Migrate workloads Describe the DFW-only migration mode Troubleshooting Migrations Troubleshoot migration problems Identify the log files used in troubleshooting Identify and resolve common issues related to migrations. Cross-vCenter NSX to NSX Federation Migration Contrast cross-vCenter NSX and NSX Federation architectures Describe the steps for a multisite migration Demonstrate how to perform a cross-vCenter NSX to NSX Federation migration Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Migration from VMware NSX for vSphere to NSX-T 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 Migration from VMware NSX for vSphere to NSX-T 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 Operational Technology (OT) Engineers IT engineers Generalists, including managers, project leads, and solutions and business architects Overview Define what IIoT is and identify IIoT architectures. Identify IIoT market verticals, and their motivations and requirements. Explore Cisco IIoT networking devices, how they are different from other devices, and use common administrative tools for managing them. Explore industrial communications protocols for control and automation, and how they have been adapted to run on top of a TCP/IP network infrastructure. Describe wireless protocols used in IIoT environments, including architectures and devices used. Understand the TCP/IP protocol stack and how it is used with other protocols in IIoT environments. Discuss network protocols for clock synchronization between network devices, and describe available tools for IIoT network administration. Discuss wireless technologies used in a core LAN, and their relevance to IIoT implementations. Explore field WAN technologies and how they are used in IIoT environments. Explore legacy protocols and explain the methods available to transport non-routable protocols over modern networks. Explain fundamental concepts of Quality of Service (QoS) related to IIoT network environments. Discuss Multiprotocol Label Switching (MPLS) operation, components, terminology, and features, and explore its use in IIoT environments. Explore Layer 2 and Layer 3 VPN technologies and describe the way they can be used on IIoT deployments. Describe Dense Wave Division Multiplexing (DWDM) technology and its use in IIoT environments. Explore Layer 1 and Layer 2 high availability technologies and redundancy mechanisms. Describe Layer 3 high availability and the need for Layer 3 redundancy in IIoT deployments The Understanding Cisco Industrial IoT Networking Foundation (INFND) v1.0 course gives you an overview of the protocols, applications, and network infrastructure you need to support and manage Industrial Internet of Things (IIoT) solutions. You will learn about IIoT industry verticals and how different protocols are used within them. The course also covers configuring and verifying the protocols on Cisco© IIoT networking devices. Course Introduction.Defining Industrial Internet of ThingsExamining Common IIoT Verticals.Examining Cisco IIoT Networking Devices.Examining and Configuring Industrial Communication Protocols.Describing Wireless IIoT Protocols.Explaining and Configuring TCP/IP Protocols, Addressing, and Segmentation.Examining Network Services and Administration.Examining and Configuring Wireless Core LAN Technologies.Describing Field WAN Technologies.Examining and Configuring Transportation of Legacy Protocols.Describing, Configuring, and Verifying Quality of Service (QoS) for IIoT Protocols.Examining and Verifying MPLS and IIoT.Configuring and Explaining VPN Technology and IIoT.Describing DWDM.Configuring and Defining Layer 1 and Layer 2 High Availability Technologies.Defining and Configuring Layer 3 High Availability TechnologiesLab outline Connect to the Cisco IIoT Devices. Use Industrial Protocols with Cisco Industrial Ethernet Switches. Configure an 802.11 Client. Configure an IPv6 Address. Configure Layer 2 Network Address Translation (NAT) and IP Addressing in an Example IoT Deployment.

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

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 3 Days 18 CPD hours This course is intended for This is an introductory-level XML training course, designed for those needing an introduction to concepts and technologies associated with XML and its related recommendations. Previous experience or knowledge of HTML is helpful but not essential. Overview This course is an intensive, hands-on introduction to XML, XPath, and XSLT. The course is a balanced mixture of theory and practical labs designed to take students from the basic fundamentals of XML through to the related advanced technologies. The students walk through the different standards in a structured manner to enable them to master the concepts and ideas, which are reinforced in the lab exercises. The course starts with the fundamentals of XML, including coverage of DTDs and XML Schema. It then moves on to the XPath and XSLT standards, and how to use them to transform XML documents into other documents such as HTML documents or other XML documents. This course provides indoctrination in the practical use of W3C standards (including XSL and XML Schema) and of implementing tools and technologies. This course is programming language independent, making it useful for Java, .NET, C++, and any other programming orientation. Graduates will hit the ground running, applying XML to projects at both an architectural as well as a line by line coding level. We can easily adapt this course to industry and client specific needs.In addition to valuable knowledge and working examples, students receive a copy of the 'Xtensil' product. This unique software was developed to assist in implementing, testing, and fielding XML applications. Xtensil is used as both a teaching aid and a straightforward, basic, fully functional XML toolkit that students can use on Windows and Linux platforms. Working in a hands-on learning environment student will learn to: Write well-formed XML documents Model business requirements using XML Handle XML reserved characters Validate an XML document with a DTD and with a Schema Centralize data and markup definition with entities Create DTDs and Schemas using XML tools Generate XML documents from databases Write XSL templates to transform XML documents into HTML Integrate XML, XSL and the DOM to implement a complete solution The Extensible Markup Language (XML) is a standard that is enabling a revolution in web applications and business to business interactions. XML is the basis for Wireless Markup Language (WML), Voice Markup Language (VoiceML), Simple Object Access Protocol (SOAP), Web Services, and numerous industry initiatives such as ACORD (insurance), PXML (proposal/RFP) and OTA (travel). Introduction to XML is a three-day, hands-on course geared for software developers who need to understand what XML is and how to use in with today's systems and architectures. This course covers the topics from tags to architectures. The course is a balanced mixture of theory and practical labs designed to take students from a quick review of the basic fundamentals of XML through to the related advanced technologies. The students walk through the different standards in a structured manner to enable them to master the concepts and ideas, which are reinforced in the lab exercises. The course starts with a quick review of the fundamentals of XML before covering XML Schema in detail. It then moves on to the XPath and XSLT covering advanced topics in both. Finally, XML and Web Services security mechanisms and issues are addressed. XML Content Introduction to XML XML Mechanics XML Structure Namespaces Structure Using Schemas XML Formatting CSS and Rendering XML XSL Transformations XSLT and XPath XPath 2.0 and XSLT 2.0 Overview XSL FO (Formatting Objects) Applying XML XML Interoperability XML Performance Improvements Web Services Overview XML Applications Additional course details: Nexus Humans Introduction to XML (TT4300) 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 XML (TT4300) 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 This course is designed for students with previous Citrix ADC experience, and best suited for individuals who will be deploying Citrix Application Delivery Management to administer a Citrix Networking environment or optimize Citrix ADC-managed application delivery traffic. Overview Manage multiple Citrix ADC platforms centrallyOrchestrate configuration changesReport on transactions passing through the Citrix ADC environmentVisualize infrastructure and plan expansion Master the deployment and usage of Citrix Application Delivery Management with this two-day management and optimization course. Students will gain the skills needed to automate and manage network services for scale out of application architectures, and to optimize Citrix ADC-managed application delivery traffic. The curriculum focuses on centrally managing multiple Citrix ADC platforms, orchestrating configuration changes, reporting on transactions, visualizing infrastructure and planning infrastructure expansion. Students will also learn how to implement Citrix ADC features, including caching, frontend optimization, Citrix ADC web logging and TCP/HTTP optimization, to optimize traffic managed by your Citrix networking environment. Citrix Application Delivery Management Introduction An introduction to Application Delivery Management Application Delivery Management Deployment and Configuration Deploying Application Delivery Management in High Availability Application Delivery Management Instance Management Managing and Monitoring Application Delivery Management An introduction to Application Delivery Management Application Delivery Management Deployment and Configuration Deploying Application Delivery Management in High Availability Application Delivery Management Instance Management Managing Citrix ADC Configuration Application Management StyleBooks Configuration Management Citrix ADC Web Logging Understanding Web Traffic Installing and configuring Citrix ADC Web Logging Troubleshooting Citrix ADC Web Logging Citrix ADC Integrated Caching Introduction to Integrated Caching Static and Dynamic Content Request and Response Process Flow Understanding Cache Policies Identifying Content Group Settings Front-End Optimization Improving Content Delivery Front-End Optimization Use Cases Understanding Minification CSS Optimizations Tuning and Optimizations Connections on the Citrix ADC Connection Profiles Queuing on the Citrix ADC Connection Tuning Practices