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This course helps you prepare for your CISSP certification. In this course, we will be discussing CISSP? Certification Domain 7 - Security Operations. This course is about how we secure our day-to-day operations, how we continue to function in a disaster event, and how we recover after an event. This domain makes up 13% of the exam questions.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for: System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Explain WAE basics, the purpose of WAE, and its capabilities Understand the Cisco WAE solution implementation Describe the network module configuration process Describe WAE Design software tools, demands creation, BGP modeling, and Failure and Simulation analysis Describe Cisco WAE Design traffic engineering and QoS modeling Explain how to use API with WAE Design and WAE Server Describe the function, components, and processes of Cisco WAE Live The Operating and Implementing Cisco WAN Automation Engine (SPWAE) v1.0 course teaches you, through a combination of lectures and labs, how to install the Cisco© WAN Automation Engine (WAE), builds your confidence with Cisco WAE configuration and basic troubleshooting, and enables you to practice designing and managing bandwidth and traffic engineering.Additionally, you?ll learn the basic knowledge necessary to plan, deploy, configure, and maintain the Cisco WAN Automation Engine solutions. Course Outline WAE Solution and Architecture Overview Implementing a Cisco WAE Solution Network Model Configuration WAE Design Fundamentals Cisco WAE Design Traffic Engineering and Optimization Introducing Cisco WAE API Cisco WAE Live Deployment Additional course details: Nexus Humans Cisco Operating and Implementing Cisco WAN Automation Engine v1.0 (SPWAE) 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 Operating and Implementing Cisco WAN Automation Engine v1.0 (SPWAE) 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.

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BGP training course description A study of BGP for non engineers working in the Internet. The course starts with a review of the basics of routers and routing tables and then moves on to a simple overview of how BPG works with a focus on BGP metrics influencing the route traffic takes through the Internet. Hands on with routers follow the major sessions to reinforce the theory. Note these hands on sessions are more demonstrations by the trainer but some can be followed along and done by delegates (e.g. looking at Internet routing tables.) What will you learn Explain how routing tables influence Internet traffic. Describe how BGP works. Explain the methods BGP can use to influence Internet traffic. Use traceroute, peeringdb, route collectors and looking glasses to analyse traffic flows. Explain the difference between bi lateral and multilateral peering using a route server. BGP training course details Who will benefit: Non technical staff wishing to know more about BGP. Prerequisites: None. Duration 1 day BGP training course contents Networks, routers and routing tables What is a network, what is a router, routing tables, static routes, routing protocols. When an ISP uses static routes and when they use BGP. IP addresses, subnet masks, groups of IP addresses. IPv6. Hands on: Showing a full routing table. Seeing traceroute being used. Basic BGP What's BGP? BGP versus other routing protocols, ASs, AS numbers. RIPE database, peeringdb. Hands on: Finding AS numbers. Showing simple BGP configuration and routing tables in an EVENG example. How BGP works Simple walk through of BGP incremental updates and how routes change when links go down. Hands on: Showing packets and route changes when a link goes down/comes up. BGP path selection Transit, peering, routing policy and route filtering. Longest matching rule in routing tables, route selection order, Local preference, AS prepend, MEDs. Hands on: Seeing BGP influencing traffic. Looking at peering policies in RIPE and peeringdb. Route servers What are route servers? LINX route servers, route server policy control and communities, What are route collectors, Looking glasses. Hands on: Seeing the LINX route server details in peeringdb, using a looking glass.

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The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and network administrators Network and security professionals who work with enterprise networks Overview By the end of the course, you should be able to meet the following objectives: Use the native tools available in NSX to identify and troubleshoot the problems. Use VMware Aria Operations for Logs and VMware Aria Operations for Networks to identify and troubleshoot problems related to the NSX environment. Explain the NSX infrastructure components and the communications between them. Identify, analyze, and troubleshoot problems related to the management, control, and data planes in NSX. Identify, analyze, and troubleshoot problems related to infrastructure preparation and VMware NSX Edge deployments. Identify, analyze, and troubleshoot problems related to logical switching and logical routing. Identify, analyze, and troubleshoot network security problems related to the Distributed firewalls, Gateway firewalls, and Distributed IDS/IPS. Identify, analyze, and troubleshoot problems related to VPN and VMware NSX Advanced Load Balancer. Identify the components and packet flows involved in the NSX datapath and troubleshoot related problems. This five-day, hands-on training course provides the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware NSX infrastructure. This course introduces you to workflows of various networking and security constructs along with several operational and troubleshooting tools that help you manage and troubleshoot your VMware NSX environment.In addition, various types of technical problems are presented to you, which you will identify, analyze, and solve through a systematic process. Course Introduction Introduction and course logistics Course objectives NSX Operations and Tools Explain and validate the native troubleshooting tools for NSX Configure syslog, IPFIX, and log collections for the NSX environment Integrate NSX with VMware Aria Operations for Logs and VMware Aria Operations for Networks Validate and review the API methods available to configure the NSX environment Troubleshooting the NSX Management Cluster Describe the NSX Management cluster architecture, components, and communication channels Identify the workflows involved in configuring the NSX Management cluster Validate and troubleshoot the NSX Management cluster formation Troubleshooting Infrastructure Preparation Describe the data plane architecture, components, and communication channels Explain and troubleshoot VMware ESXi transport node preparation issues Explain and troubleshoot NSX Edge deployment issues Troubleshooting Logical Switching Describe the architecture of logical switching List the modules and processes involved in configuring logical switching Explain the importance of VDS in transport nodes Review the architecture and workflows involved in attaching workloads to segments Identify and troubleshoot common logical switching issues Troubleshooting Logical Routing Review the architecture of logical routing Explain the workflows involved in the configuration of Tier-0 and Tier-1 gateways Explain the high availability modes and validate logical router placements Identify and troubleshoot common logical routing issues using both BGP and OSPF Troubleshooting Security Review the architecture of the Distributed Firewall Explain the workflows involved in configuring the Distributed Firewall Review the architecture of the Gateway Firewall Explain the workflows involved in configuring the Gateway Firewall Identify and troubleshoot common Distributed firewall and Gateway Firewall issues Review the architecture and workflows involved in configuring Distributed IDS/IPS Identify and troubleshoot common Distributed IDS/IPS problems. Troubleshooting Services Review the NSX Advanced Load Balancer architecture and components Identify and troubleshoot common NSX Advanced Load Balancer issues Review the IPsec and L2 VPN architecture and components Identify and troubleshoot common IPsec and L2 VPN issues Datapath Walkthrough Verify and validate the path of the packet on the NSX datapath Identify and perform packet captures at various points in the datapath Use NSX CLI and native hypervisor commands to retrieve configurations involved in the NSX datapath Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware NSX: Troubleshooting and Operations [V4.x] 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 NSX: Troubleshooting and Operations [V4.x] 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.

This course covers all the requirements of the Microsoft AZ-300 and AZ-303 exams. You will get a detail-oriented approach to all the important concepts that will help you pass the exams and design solutions for the Microsoft Azure platform.

Duration 2 Days 12 CPD hours This course is intended for Network engineers, technical support personnel, reseller support engineers, and others responsible for implementing and/or maintaining the Juniper Networks products covered in this course. Overview Describe typical uses of static, aggregate, and generated routes. Configure and monitor static, aggregate, and generated routes. Explain the purpose of Martian routes and add new entries to the default list. This two-day course provides students with intermediate routing knowledge and configuration examples. The course includes an overview of protocol independent routing feature. Chapter 1: Course Introduction Course Introduction Chapter 2: Protocol-Independent Routing Static Routes Aggregated Routes Generated Routes Martian Addresses Routing Instances Chapter 3: Load Balancing and Filter-Based Forwarding Overview of Load Balancing Configuring and Monitoring Load Balancing Overview of Filter-Based Forwarding Configuring and Monitoring Filter-Based Forwarding Chapter 4: Open Shortest Path First Overview of OSPF Adjacency Formation and the Designated Router Election OSPF Scalability Configuring and Monitoring OSPF Basic OSPF Troubleshooting Chapter 5: Border Gateway Protocol Overview of BGP BGP Attributes IBGP Versus EBGP Configuring and Monitoring BGP Chapter 6: IP Tunneling Overview of IP Tunneling GRE and IP-IP Tunnels Implementing GRE and IP-IP Tunnels Chapter 7: High Availability Overview of High Availability Networks GR Graceful RE Switchover Nonstop Active Routing BFD VRRP Appendix A

The Hi-Tech Training Digital Text & Voice Communicator Course is designed to provide participants with the skills required to connect Digital, Text & Voice Communicators to an Alarm Control Panel for transmission of Digital status signals via the telephone line, GSM Network or IP network to a central monitoring station. The Digital Communicator Course’s practical application and our highly experienced trainers ensure that this course is second to none. The course is technical and practical in nature and is suitable for participants who have successfully completed the Hi-Tech Training Intruder Alarm Installation Course or equivalent.