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Duration 2 Days 12 CPD hours This course is intended for Built for experienced IT Professionalsworking with Citrix Virtual Appsand Desktops who need to plan for,implement, or manage a ProvisioningServices environment. Potential studentsinclude administrators, engineers, andarchitects. Overview #NAME? In this course, students will learn to install and configure a highly available Citrix Provisioning farm according to leading practices. In this course, students will learn about the architecture, communication, and processes that make up Citrix Provisioning to be successful with deploying and managing a farm. Manage and integrate vDisks and target devices with Citrix Virtual Apps and Desktops for easy rollback, upgrades, and performance of Virtual Delivery Agent machines. At the end of this course students will be able to install, configure and manage the CitrixProvisioning 7 solution. Advanced Provisioning Learning Objectives Introduction to Citrix Provisioning (PVS) Getting Started with Citrix Provisioning Citrix Provisioning Architecture Citrix Provisioning Infrastructure Lab VM Power Management Learning Objectives The Citrix Provisioning Server The Farm Database The Store Streaming the vDisk Lab VM Power Management Learning Objectives vDisk Introduction Master Target Device Preparation Streaming Introduction Boot Methods Target Devices Lab VM Power Management Learning Objectives Target Devices Introduction Reads and Writes Machine and User Data Integrating Citrix Provisioning with Citrix Virtual Apps and Desktops Lab VM Power Management Learning Objectives The Complete Architecture Overview The Citrix Virtual Desktops Setup Wizard Manage the Target Devices through Creating Device Collections Using Provisioned Services with Citrix Virtual Apps and Desktops Managing Citrix Provisioning from Citrix Cloud Advanced Architecture Lab VM Power Management Learning Objectives Farm Component Scalability Store Redundancy Farm Database Redundancy Supporting Citrix Provisioning Lab VM Power Management Learning Objectives vDisk Updates Delegate Administration Audit and Support Alternative vDisk Update Methods

Duration 2 Days 12 CPD hours This course is intended for Die Zertifizierung EXIN Information Security Foundation based on ISO/IEC 27001 richtet sich an alle in der Datenverarbeitung tätigen Mitarbeiter. Das Modul eignet sich auch für kleine und mittelständische Unternehmer, die ein bestimmtes Grundwissen im Bereich der Informationssicherheit benötigen. Für Fachkräfte, die neu auf dem Gebiet der Informationssicherheit sind, ist dieses Modul ein guter Anfang. Overview Anwendungsbereich Mit einer Zertifizierung EXIN Information Security Foundation based on ISO/IEC 27001 können Professionals ihr Wissen in folgenden Bereichen nachweisen: Information und Sicherheit: der Begriff, der Wert, die Bedeutung und die Informationssicherheit Bedrohungen und Risiken: die Begriffe Bedrohung und Risiko und wie diese mit der Zuverlässigkeit von Informationen in Beziehung stehen Verfahren und Organisation: Sicherheitsrichtlinie und Sicherheitsorganisation einschließlich der Bestandteile der Sicherheitsorganisation sowie der Umgang mit (Sicherheits)vorfällen Maßnahmen: die Bedeutung von Sicherheitsmaßnahmen wie zum Beispiel physischen, technischen und organisatorischen Maßnahmen Gesetze und Vorschriften: die Bedeutung und Auswirkung von Gesetzen und Vorschriften ie EXIN-Module zum Thema Informationssicherheitsmanagement definieren Informationssicherheit wie folgt: Bei dem Informationssicherheitsmanagement geht es um die Definition, Umsetzung, Aufrechterhaltung, Einhaltung und Bewertung von koh„renten Kontrollen (Maánahmen), die die Verfgbarkeit, Integrit„t, und Vertraulichkeit der (manuellen und automatisierten) Informationsverarbeitung sichern. Das Modul EXIN Information Security Foundation based on ISO/IEC 27001 prft die Grundbegriffe der Informationssicherheit und ihre Beziehungen zueinander. Eine der Zielsetzungen des Moduls ist das Bewusstsein fr den Wert von Informationen zu wecken und ein Verst„ndnis fr die Schwachstellen der Informationsverarbeitung zu vermitteln, um zu verstehen, welche Maánahmen zum Schutz von Informationen notwendig sind. Information und Sicherheit Der Begriff Information Der Wert von Informationen Aspekte der Zuverl„ssigkeit Bedrohungen und Risiken Bedrohungen und Risiken Verfahren und Organisation Sicherheitsrichtlinie und Sicherheitsorganisation Bestandteile Incident Management Maánahmen Bedeutung von Maánahmen Physische Maánahmen Technische Maánahmen Organisatorische Maánahmen Gesetzgbeung und Vorschriften Gesetzgebung und Vorschriften

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Network operations center (NOC) operators System administrators System engineers Technical support personnel Channel partners, resellers Overview Upon completing this course, the learner will be able to meet these overall objectives: Cisco IOS XR general architecture Introduction to the Cisco IOS XR command line interface (CLI) Basic system configuration Tracing the switch fabric data path Monitoring the Cisco IOS XR system Working within the Cisco IOS XR configuration file system Interpreting Cisco IOS XR error messages and log file messages Creating system core dumps This 4-day course, Introduction to Cisco IOS© XR (IOSXR100), is an instructor led, lab-based, hands-on course, where you learn the fundamental concepts on which the operating system is based and Cisco IOS XR basic operations for configuration, software, file system configuration, and monitoring. Basic troubleshooting for how to troubleshoot problems relating to process failures, frozen processes, and high CPU and memory consumption is also covered. This course introduces you to the features and functions of the Cisco IOS XR Software operating system. Through a combination of lecture and hands-on lab exercises, you gain an understanding of all major aspects of the operating system, including the architecture, high-availability components, scalability features, configuration basics, switch fabric data path, basic software operations, configuration file overview, monitoring the Cisco IOS XR operating system, and working with error messages and core dumps. Module 1: Cisco IOS XR Software Overview Cisco IOS XR Architecture High Availability Scalability Module 2: Cisco IOS XR Configuration Basics Configuration Operations Initial Configuration Reviewing the Configuration Route Processor Redundancy Module 3: Switch Fabric Architecture Cisco IOS XR Architecture, High Availability, and Scalability Review Verifying the Fabric Data Path Module 4: Cisco IOS XR Software Operations Examining the Operation Basics Examining Configuration Operations Examining Configuration Rollback and Recovery Examining Process Management Module 5: Configuration File System Overview Configuration File System Module 6: Monitoring the Cisco IOS XR Operating System Cisco IOS XR Architecture System Monitoring Commands Module 7: Error Messages and Core Dumps System Error Messages Logging System Messages Cisco IOS XR Core Dumps

Duration 2 Days 12 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview Describe the history and rationale for MPLS, as well as its basic terminology. Explain the MPLS label operations (push, pop, swap) and the concept of label-switched path (LSP). Describe the configuration and verification of MPLS forwarding. Describe the functionalities and operation of RSVP and LDP. Configure and verify RSVP-signaled and LDP-signaled LSPs. Select and configure the appropriate label distribution protocol for a given set of requirements. Describe the default Junos OS MPLS traffic engineering behavior. Explain the Interior Gateway Protocol (IGP) extensions used to build the Traffic Engineering Database (TED). Describe the Constrained Shortest Path First (CSPF) algorithm, its uses, and its path selection process. Describe administrative groups and how they can be used to influence path selection. Describe the default traffic protection behavior of RSVP-signaled LSPs. Explain the use of primary and secondary LSPs. Describe the operation and configuration of fast reroute. Describe the operation and configuration of link and node protection. Describe the operation and configuration of LDP loop-free alternate. Describe the LSP optimization options. Explain LSP priority and preemption. Describe the behavior of fate sharing. Describe how SRLG changes the CSPF algorithm when computing the path of a secondary LSP. Explain how extended admin groups can be used to influence path selection. Explain the purpose of several miscellaneous MPLS features. This two-day course is designed to provide students with a solid foundation on Multiprotocol Label Switching (MPLS). Course Outline Course Introduction MPLS Fundamentals MPLS Foundation Terminology MPLS Configuration MPLS Packet Forwarding Label Distribution Protocols Label Distribution Protocols RSVP LDP Routing Table Integration Mapping Next-Hops to LSPs Route Resolution Example Route Resolution Summary IGP Passive Versus Next-Hop Self for BGP Destinations Constrained Shortest Path First RSVP Behavior Without CSPF CSPF Algorithm CSPF Tie Breaking Administrative Groups Inter-area Traffic Engineered LSPs Traffic Protection and LSP Optimization Default Traffic Protection Behavior Primary and Secondary LSPs Fast Reroute RSVP Link Protection LDP LFA and Link Protection LSP Optimization Fate Sharing Junos OS Fate Sharing SRLG Extended Admin Groups Miscellaneous MPLS Features Forwarding Adjacencies Policy Control over LSP Selection LSP Metrics Automatic Bandwidth Container LSPs TTL Handling Explicit Null Configuration MPLS Pings

Duration 5 Days 30 CPD hours This course is intended for System administrators System integrators Overview By the end of the course, you should be able to meet the following objectives: Introduce troubleshooting principles and procedures Practice Linux commands that aid in the troubleshooting process Use command-line interfaces, log files, and the vSphere Client to diagnose and resolve problems in the vSphere environment Explain the purpose of key vSphere log files Identify networking problems based on reported symptoms, validate and troubleshoot the reported problem, identify the root cause and implement the appropriate resolution Analyze storage failure scenarios using a logical troubleshooting methodology, identify the root cause, and apply the appropriate resolution to resolve the problem Troubleshoot vSphere cluster failure scenarios and analyze possible causes Diagnose common VMware vSphere High Availability problems and provide solutions Identify and validate VMware ESXi™ host and VMware vCenter Server problems, analyze failure scenarios, and select the correct resolution Troubleshoot virtual machine problems, including migration problems, snapshot problems, and connection problems Troubleshoot performance problems with vSphere components This five-day, hands-on training course provides you with the advanced knowledge, skills, and abilities to achieve competence in troubleshooting the VMware vSphere© 7.x environment. This workshop increases your skill 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 a troubleshooting methodology to logically diagnose faults and improve troubleshooting efficiency Troubleshooting Tools Use command-line tools (such as Linux commands, vSphere CLI, ESXCLI) to identify and troubleshoot vSphere problems Identify important vSphere log files and interpret the log file contents Troubleshooting Virtual Networking Analyze and resolve standard switch and distributed switch problems Analyze virtual machine connectivity problems and fix them Examine common management network connectivity problems and restore configurations Troubleshooting Storage Troubleshoot and resolve storage (iSCSI, NFS, and VMware vSphere© VMFS) connectivity and configuration problems Analyze and resolve common VM snapshot problems Identify multipathing-related problems, including common causes of permanent device loss (PDL) and all paths down (APD) events and resolve these problems Troubleshooting vSphere Clusters Identify and recover from problems related to vSphere HA Analyze and resolve VMware vSphere© vMotion© configuration and operational problems Analyze and resolve common VMware vSphere© Distributed Resource Scheduler? problems Troubleshooting Virtual Machines Identify possible causes and resolve virtual machine power-on problems Troubleshoot virtual machine connection state problems Resolve problems seen during VMware Tools? installations Troubleshooting vCenter Server and ESXi Analyze and fix problems with vCenter Server services Analyze and fix vCenter Server database problems Examine ESXi host and vCenter Server failure scenarios and resolve the problems

Duration 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, corrective action coordinators or managers; supervisors, team leaders, and process operators; anyone who wants to improve their ability to solve recurring problems. Overview At the completion of this course, you should be able to: Identify the different types of tools and techniques available Apply change management successfully Review what to look for when applying business case thinking to Root Cause Analysis Develop a process to systematically approach problems Business success is dependent on effective resolution of the problems that present themselves every day. Often the same or similar problems continue causing repeated losses in time or money and your staff become experts at fixing rather than preventing the problems. Learn to find and fix root causes and develop corrective actions that will effectively eliminate or control these problems. Section 1: RCA Foundation Concepts and Objectives Section Learning Objectives Discuss Definitions ? IT Perspective Discuss What is a problem and why do they exist? What is Root Cause? RCA Benefits and Approaches Event and Casual Analysis Event and Causal Analysis: Exercise 1c Worksheet RCA Tools for each approach Section Summary and Conclusions Section 2: Enhance use of RCA tools Why use a Particular Method Tool: Change Analysis Change Analysis Examples Tool: How to Resolve Conflict Tool: 5 Why?s Example Learning Management Problem Tool: Cause and Effect Tool: Fault Tree Analysis Why do we use Fault Tree Analysis? How does it work? Fault Tree Diagram Symbols Example #1 of FTA: Car Hits Object Tool: Failure Modes and Effects Analysis (FMEA) Example: Failure Modes and Effects Analysis Tool: Design / Application Review Section 3: Problem Resolution and Prevention Section Objectives The Secret of Solving Problems: -A Note about Statistical Control -A Note about Fire Fighting Technique: Business Process Mapping Example: IGOE Technique: Lean Six Sigma and DMAIC Lean Six Sigma Benefits Importance of Understanding the Business Process The Business Process Mandate Technique: Process Modeling Graphical Notation Standard (BPMN): -What is Business Process Modeling Notation (BPMN)? -Benefits of BPMN -Basic Components of BPMN Technique: Business Process Maturity Model Five Levels of Maturity Section 4: Capability Improvement for RCA Steps in Disciplined Problem Solving RCA as a RCA Process Key RCA Role Considerations Sustainable RCA Improvement Organizational Units Process Area Goals, Practices Specific and General Practices Specific Practice Examples Software Maturity Survey SWOT Analysis Worksheet Recognize the importance of the Change Management component in your RCA implementation Using the ADKAR Model to Communicate Change Review ADKAR© Model ? -Awareness of the need for change -Desire to participate and support the change -Knowledge on how to change -Ability to implement required skills and behaviors -Reinforcement to sustain the change The ADKAR Model: Reinforcement Section 5: Course Summary and Conclusions Plan the Proposal and Business Case Example: 1 Page Business Case Resource Guide Questions

Duration 4 Days 24 CPD hours This course is intended for This intermediate course is for: Individuals who are assessing and/or planning to deploy storage network virtualization solutions Overview Create an implementation task list to integrate the SVC solution into the storage network fabric Establish or update zoning policies to enable the SVC to control storage device access and facilitate storage provisioning to host servers Utilize SVC user interfaces to manage the networked storage environment, assign storage to servers, migrate data, replicate data across storage systems, and monitor storage access activities Assess issues related to coexistence between the SVC and native disk storage access across host servers Migrate existing data to the virtualized SVC environment Implement SVC storage efficiency solutions including Easy Tier, Thin Provisioning, Volume Mirroring, and Real-time Compression Implement data replication services including FlashCopy and Remote Copy Leverage networked storage connectivity by integrating a layer of intelligence - the SAN Volume Controller (SVC) - to facilitate storage application data access independence from storage management functions and requirements ...and more. Introducing the SAN Volume Controller Storage provisioning with the SAN Volume Controller SAN Volume Controller clustering environment SVC Cluster Setup and Storage Provisioning SVC physical environment and management interfaces Storage systems and LUN assignments to SVC Cluster creation and storage provisioning Additional functions: Quorum disks, expand/shrink volumes, MDisk removal, MDisk multipathing Fabric Zoning, Non Disruptive Volume Move, and iSCSI Connectivity Host to SVC volume access infrastructure Fibre Channel host to SVC SAN fabric zoning Non Disruptive Volume Move (NDVM) iSCSI host to SVC IP connectivity Easy Tier, Thin Provisioning, Volume Mirroring, and Real-time Compression Easy Tier Thin Provisioning Volume Mirroring Real-time Compression and the Comprestimator Data Migration Pool Migration Migration Wizards (Import, Migration, Export) Storage system replacement Copy Services: FlashCopy and Remote Copy FlashCopy Remote Copy: Metro Mirror Copy Services: FlashCopy and Remote Copy FlashCopy Remote Copy: Metro Mirror Remote Copy: Global Mirror and Global Mirror with change volumes Managing the SVC Environment Logging and Directed Maintenance Procedures Code upgrades and node replacement Remote user authentication SVC configuration backup Additional course details: Nexus Humans SNV1 IBM SAN Volume Controller (SVC) Planning and Implementation Workshop 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 SNV1 IBM SAN Volume Controller (SVC) Planning and Implementation Workshop 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 Network design engineers Network engineers System administrators Overview After taking this course, you should be able to: Design Enhanced Interior Gateway Routing Protocol (EIGRP) internal routing for the enterprise network Design Open Shortest Path First (OSPF) internal routing for the enterprise network Design Intermediate System to Intermediate System (IS-IS) internal routing for the enterprise network Design a network based on customer requirements Design Border Gateway Protocol (BGP) routing for the enterprise network Describe the different types and uses of Multiprotocol BGP (MP-BGP) address families Describe BGP load sharing Design a BGP network based on customer requirements Decide where the L2/L3 boundary will be in your Campus network and make design decisions Describe Layer 2 design considerations for Enterprise Campus networks Design a LAN network based on customer requirements Describe Layer 3 design considerations in an Enterprise Campus network Examine Cisco SD-Access fundamental concepts Describe Cisco SD-Access Fabric Design Design a Software-Defined Access (SD-Access) Campus Fabric based on customer requirements Design service provider-managed VPNs Design enterprise-managed VPNs Design a resilient WAN Design a resilient WAN network based on customer requirements Examine the Cisco SD-WAN architecture Describe Cisco SD-WAN deployment options Design Cisco SD-WAN redundancy Explain the basic principles of QoS Design Quality of Service (QoS) for the WAN Design QoS for enterprise network based on customer requirements Explain the basic principles of multicast Designing rendezvous point distribution solutions Describe high-level considerations when doing IP addressing design Create an IPv6 addressing plan Plan an IPv6 deployment in an existing enterprise IPv4 network Describe the challenges that you might encounter when transitioning to IPv6 Design an IPv6 addressing plan based on customer requirements Describe Network APIs and protocols Describe Yet Another Next Generation (YANG), Network Configuration Protocol (NETCONF), and Representational State Transfer Configuration Protocol (RESTCONF) The Designing Cisco Enterprise Networks (ENSLD) v1.1 course gives you the knowledge and skills you need to design an enterprise network. This course serves as a deep dive into enterprise network design and expands on the topics covered in the Implementing and Operating Cisco© Enterprise Network Core Technologies (ENCOR) v1.0 course.This course also helps you prepare to take the 300-420 Designing Cisco Enterprise Networks (ENSLD) exam which is part of the CCNP© Enterprise and Cisco Certified Specialist - Enterprise Design certifications. Course Outline Designing EIGRP Routing Designing OSPF Routing Designing IS-IS Routing Design Case Study Activity: Designing Enterprise Connectivity Designing BGP Routing and Redundancy Understanding BGP Address Families and Attributes Design Case Study Activity: Designing an Enterprise Network with BGP Internet Connectivity Designing the Enterprise Campus LAN Designing Layer 2 Campus Design Case Study Activity: Designing an Enterprise Campus LAN Designing Layer 3 Campus Discovering the Cisco SD-Access Architecture Exploring Cisco SD-Access Fabric Design Exploring Cisco SD-Access Site Design Strategy and Considerations Design Case Study Activity: Designing Cisco SD-Access in the Enterprise Designing Service Provider-Managed VPNs Designing Enterprise-Managed VPNs Designing WAN Resiliency Design Case Study Activity: Designing Resilient Enterprise WAN Examining Cisco SD-WAN Architectures Examining Cisco SD-WAN Deployment Design Considerations Designing Cisco SD-WAN Routing and High Availability Design Case Study Activity: Designing Resilient Enterprise Cisco SD-WAN Understanding QoS Designing LAN and WAN QoS Design Case Study Activity: Designing QoS in an Enterprise Network Exploring Multicast with Protocol-Independent Multicast-Sparse Mode (PIM-SM) Designing Rendezvous Point Distribution Solutions Designing an IPv4 Address Plan Exploring IPv6 Deploying IPv6 Design Case Study Activity: Designing an Enterprise IPv6 Network Introducing Network APIs and Protocols Exploring YANG, NETCONF, RESTCONF, and Model-Driven Telemetry Additional course details: Nexus Humans Cisco Designing Cisco Enterprise Networks v1.1 (ENSLD) 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 Designing Cisco Enterprise Networks v1.1 (ENSLD) 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 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 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