1696 Computing courses in Chigwell delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for Penetration Testers Microsoft Administrator Security Administrators Active Directory Administrators Anyone looking to learn more about security Overview The person who carries this certification should be able to analyze an organization's existing systems then plan and create an incident handling system that will prevent, detect, and respond to cyber attacks The Certified Incident Handling Engineer course, C)IHE, is designed to help Incident Handlers, System Administrators, and Security Engineers understand how to plan, create and utilize their systems. Prevent, detect and respond to attacks through the use of hands-on labs in our exclusive Cyber Range. With this in-depth training, you will learn to develop start to finish processes for establishing your Incident Handling team, strategizing for each type of attack, recovering from attacks and much more. Course Outline Incident Handling Explained Incident Response Policy, Plan and Procedure Creation Incident Response Team Structure Incident Response Team Services Incident Response Recommendations Preparation Detection and Analysis Containment, Eradication and Recovery GRR Rapid Response Request Tracker for Incident Response Post Incident Activity Incident Handling Checklist Incident Handling Recommendations Coordination and Information Sharing

Duration 4 Days 24 CPD hours This course is intended for IS Security Officers IS Managers Risk Managers DR and BCP Engineers Information Systems Owners IS Control Assessors System Managers Government Employees Overview Upon completion, Certified Disaster Recovery Engineer students will be able to establish industry acceptable DR & BCP standards with current best practices and policies. Students will also be prepared to competently take the C)DRE exam. A Certified Disaster Recovery Engineer, C)DRE, is the superhero of an information System! When a business is hit by a natural disaster, cybercrime or any other disruptive tragedy, how should the organization react? What if the network infrastructure is taken down? Will the business be able to continue operations? How much will it cost if the business is down during repairs? The answer is found in theÿ Certified Disaster Recovery Engineer certification course. Disaster recovery and business continuity planning is the process of having a professional work with a business to prepare processes, policies, and procedures to follow in the event of a disruption. The C)DRE prepares students to plan and present the latest methodologies and best practices for real-world system recovery. Course Outline Welcome to Disaster Recovery Training Business Impact Analysis Risk Analysis Design & Development Phase (BCP Strategies) IT Recovery Strategies Implementation Phase Testing and Exercise Maintenance and Updating Pandemics Case Studies and Templates

Duration 5 Days 30 CPD hours This course is intended for Senior system administrators who wish to learn more about troubleshooting. Have earned a Red Hat Certified System Administrator (RHCSA) or have similar experience. It is recommend that students have earned a Red Hat Certified Engineer (RHCE) or have similar experience. Overview As a result of attending this course, students should be able to leverage the software development life-cycle process to plan, create, test, and provision host systems within an organization. Students should be able to demonstrate the following skills: - Installation of Red Hat Satellite 6 - Software life-cycle management of software used to provision and maintain configured hosts within a controlled production environment This course enriches your skills by providing the tools and techniques that you need to successfully diagnose, and fix, a variety of potential issues. You will work through hands-on problems in various subsystems to diagnose and fix common issues. You will learn develop the skills to apply the scientific method to a structured form of troubleshooting. You will then apply this approach in troubleshooting various types of problems, including boot issues, hardware issues, storage issues, RPM issues, network issues, third-party application issues, security issues, and kernel issues. At the end of the course, you will be empowered to complete various comprehensive review labs to test your skills. 1 - INTRODUCTION TO TROUBLESHOOTING Describe a generalized strategy for troubleshooting. 2 - TAKE PROACTIVE STEPS TO PREVENT SMALL ISSUES Prevent small issues from becoming large problems by employing proactive system administration techniques. 3 - TROUBLESHOOT BOOT ISSUES Identify and resolve issues that can affect a system's ability to boot. 4 - IDENTIFY HARDWARE ISSUES Identify hardware problems that can affect a system?s ability to operate. 5 - TROUBLESHOOT STORAGE ISSUES Identify and fix issues related to storage. 6 - TROUBLESHOOT RPM ISSUES Identify and fix problems in, and using, the package management subsystem. 7 - TROUBLESHOOT NETWORK ISSUES Identify and resolve network connectivity issues. 8 - TROUBLESHOOT APPLICATION ISSUES Debug application issues. 9 - DEAL WITH SECURITY ISSUES Identify and fix issues related to security subsystems. 10 - TROUBLESHOOT KERNEL ISSUES Identify kernel issues and assist Red Hat Support in resolving kernel issues. 11 - RED HAT ENTERPRISE LINUX DIAGNOSTICS AND TROUBLESHOOTING COMPREHENSIVE REVIEW Practice and demonstrate knowledge and skills learned in Red Hat Enterprise Linux Diagnostics and Troubleshooting.

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators and network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the NSX Advanced Load Balancer architecture, components, and main functions Explain the key features and benefits of NSX Advanced Load Balancer Explain and configure local load-balancing constructs such as virtual services, pools, health monitors, and related components Recognize web application breaches and threats Recognize multiple attack vectors such as web scraping, Layer 7 Denial of Service, brute force, and code injections Explain the components of NSX Advanced Load Balancer WAF that build a security pipeline to protect a web application from being attacked Describe how to configure the NSX Advanced Load Balancer WAF components Describe an NSX Advanced Load Balancer WAF operational task such as setting up an application with WAF, tuning the WAF Policy, and working with logs and analytics Explain the NSX Advanced Load Balancer WAF best practices for on-boarding a web application; configuring WAF settings for effective application security Explain how to size the NSX Advanced Load Balancer WAF data plane Explain the WAF Application learning feature, configuration of Application learning, Virtual Patching concepts, common caveats, and troubleshooting while deploying in any environment Recognize NSX Advanced Load Balancer Cloud Services that include threat Intelligence services Describe the Threat Intelligence service provided by NSX Advanced Load Balancer WAF and how the NSX Advanced Load Balancer WAF Threat Intelligence service receives live security threat feed for multiple attack vectors from Cloud Services (formerly Avi Pulse) Describe the NSX Advanced Load Balancer DataScript capabilities for detecting and defending against advance and zero-day attacks. Discuss the relevant NSX Advanced Load Balancer WAF logs and perform basic troubleshooting of applications that are protected by NSX Advanced Load Balancer WAF Explain the NSX Advanced Load Balancer WAF capability to protect Personally Identifiable Information (PII) This three-day course provides comprehensive training to install, configure, and manage a VMware NSX Advanced Load Balancer Web Application Firewall (WAF) solution. This course covers key NSX Advanced Load Balancer WAF features and functionality offered in the NSX Advanced Load Balancer 22.1.3 release for web security and application attack protection. Features include security pipeline, application learning, policy tuning, false positive mitigation, virtual patching, threat intelligence, troubleshooting, logs, analytics, and solution monitoring. Hands-on labs provide access to an NSX Advanced Load Balancer environment to reinforce the skills and concepts presented in the course. Course Introduction Introduction and course logistics Course objectives Introduction to NSX Advanced Load Balancer Illustrate NSX Advanced Load Balancer Explain NSX Advanced Load Balancer architecture and components Describe control plane clustering and high availability Describe data plane high availability mode Understand the common terminologies used with NSX Advanced Load Balancer Explain the NSX Advanced Load Balancer service elements Explain virtual service components and how to configure a virtual service Explain application profiles and network profiles Explain the pool configuration options and how to configure a pool Explain the available load-balancing algorithms Explain and configure SSL profiles and certificates Explain cloud connectors and cloud connector integration modes Explain multiple health monitor types Understand client logs Introduction to Application Security Understand web application security breaches and the implication of breaches Explain common terminologies related to Web Application Security Understand the different teams involved to secure applications Attacking Web Applications Understand the various web application security testing methodologies Understand the OWASP Top 10 vulnerabilities Understand the tools to generate a web application attack Describe a few types of web application attacks Types of Transport Understand different web traffic transport modes Describe web traffic and API traffic NSX Advanced Load Balancer WAF Components Understand the core design principles of NSX Advanced Load Balancer WAF Describe the NSX Advanced Load Balancer WAF components that build the WAF security pipeline Understand the NSX Advanced Load Balancer WAF configuration objects NSX Advanced Load Balancer WAF Operations Examine how to set up an application with WAF Describe considerations for the WAF policy Work with WAF logs and analytics Describe WAF policy tuning Describe the options available to remediate false positive mitigation NSX Advanced Load Balancer WAF Best Practices Describe technical and application considerations for onboarding an application front ended by WAF Describe best practices to remediate false positive mitigation. Describe how to manage a response from a back-end application server and client upload to the application server Describe the consideration for setting the rigidity of a WAF signature rule set Describe the options available to identify client traffic NSX Advanced Load Balancer WAF Sizing Understand how to do WAF data plane sizing in Greenfield and Brownfield deployments NSX Advanced Load Balancer WAF Custom Rules Understand WAF custom rules Describe the need and recommendation for custom rules Describe ModSecurity rules Understand the ModSecurity rule structure and explain how to construct the rule Analyze a sample custom rule for the use-case scenario for in-depth understanding of a custom rule NSX Advanced Load Balancer WAF Application Learning Understand the significance of Application Learning Explain the Positive Security Model architecture Describe the WAF multifaceted Application Learning technique to build an application model for creating positive security rules Describe how to view the data that is learned by the Application learning module Describe the WAF Virtual Patching technique to construct a WAF policy from Dynamic Application Security Testing (DAST) scanner results Understand the conditions for sharing WAF Learning Data and PSM Group in WAF Policy. Malware Protection Through ICAP in NSX Advanced Load Balancer Understand Malicious File Upload Protection and ICAP workflow Describe ICAP configuration and log analytics NSX Advanced Load Balancer IP Reputation Understand IP Reputation concepts and their integration with NSX Advanced Load Balancer Describe IP Reputation configuration, log analytics, and troubleshooting DataScript for Application Security Describe DataScript events and reference Describe application security using DataScript Explain how to troubleshoot DataScript issues Rate Limiting and DOS Describe and configure the NSX Advanced Load Balancer rate limiter technique Describe protection from denial of service (DoS) attacks and distributed DoS (DDoS) attacks in NSX Advanced Load Balancer Explain the Service Engine general advice and guidance for DDOS Bot Management Understand Bots Describe the Bot Management mechanism in NSX Advanced Load Balancer Describe how to configure NSX Advanced Load Balancer Bot Management Managing Personally Identifiable Information in NSX Advanced Load Balancer Understand Personally Identifiable Information (PII) Understand the scope of managing PII in NSX Advanced Load Balancer Describe how to configure the hidden PII in NSX Advanced Load Balancer logs using profiles and WAF rules. Threat Intelligence Introduce the Threat Intelligence service Describe the Threat Intelligence live security threat feed for multiple attack vectors Describe how to configure Threat Intelligence in NSX Advanced Load Balancer Application Programming Interface Security Define Application Programming Interface (API) Security Understand API authentication and authorization using virtual service authentication mechanisms used for a virtual service such as LDAP, SAML, JSON Web Token, and OAUTH Understand API Rate Limiting in NSX Advanced Load Balancer Understand the NSX Advanced Load Balancer WAF Protection for API Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware NSX Advanced Load Balancer: Web Application Firewall Security [V22.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 Advanced Load Balancer: Web Application Firewall Security [V22.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.

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 for technical professionals to gain skills in writing rules for Snort-based Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS). The primary audience includes: Security administrators Security consultants Network administrators System engineers Technical support personnel using open source IDS and IPS Channel partners and resellers Overview After taking this course, you should be able to: Describe the Snort rule development process Describe the Snort basic rule syntax and usage Describe how traffic is processed by Snort Describe several advanced rule options used by Snort Describe OpenAppID features and functionality Describe how to monitor the performance of Snort and how to tune rules The Securing Cisco Networks with Snort Rule Writing Best Practices (SSFRules) v2.1 course shows you how to write rules for Snort, an open-source intrusion detection and prevention system. Through a combination of expert-instruction and hands-on practice, this course provides you with the knowledge and skills to develop and test custom rules, standard and advanced rules-writing techniques, how to integrate OpenAppID into rules, rules filtering, rules tuning, and more. The hands-on labs give you practice in creating and testing Snort rules. Course Outline Introduction to Snort Rule Development Snort Rule Syntax and Usage Traffic Flow Through Snort Rules Advanced Rule Options OpenAppID Detection Tuning Snort

Duration 2 Days 12 CPD hours This course is intended for Software Test Engineers and Test Leaders with minimum two years of experience. Specialists who have experience in software testing and want to deepen both their theoretical and practical knowledge. Overview Please refer to Overview. Practical training that you will learn how to apply additional tools in your work which will help you to optimize it. You will be able to analyze requirements better and to prioritize your tasks. Requirements analysis Effective approaches in requirements analyze What does 'Good Requirement' mean? Change Management Subsystems and actors Practice - Analysis of an actual functional specification Applicable Models and Priorities Specifications of the extraordinary models software projects Prioritizing the tasks of the test team Practice case - Iteration and sprint specifications Test planning Test design approaches Applicable techniques Practice cases with different techniques Defects management Defect status management Applicable metrics Best practices Practical examples of extraordinary applications Additional course details: Nexus Humans Modern approaches and practical tips in software testing 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 Modern approaches and practical tips in software testing 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 advanced course is for IT professionals tasked with administering a Spectrum Scale system. Overview Please see Overview This course is intended for IT professionals tasked with administering a Spectrum Scale system. It includes information on installing, configuring and monitoring a Spectrum Scale cluster. Migrating to IBM Spectrum Scale 4.2Spectrum Scale 4.2 GUIMulti-clusterClustered NFSCluster Export Services for multi-protocol supportSMB Protocol SupportNFS Support in CES; Ganesha overview/performanceActive File ManagementAFM-Based Disaster Recovery (DR) and Asynchronous DRPlanning LTFS and GPFS environment for data archivingFile Placement OptimizerIBM© GPFS-FPO and integration with GPFS Hadoop connectorIBM© Spectrum Scale Call HomeMonitoring and performance tuningFlash Cache metadata migration

Duration 3 Days 18 CPD hours This course is intended for Information System Owners Analysts Ethical Hackers ISSOs Cyber Security Managers IT Engineers Overview Upon completion, the Certified Vulnerability Assessor candidate will be able to competently take the exam. This course provides a solid understanding of the tools an IT engineer needs to review an Information System. In this course, you will learn the importance of vulnerability assessments and how they are used to prevent serious cyber break-ins. Lessons include understanding malware and viruses and how they can infiltrate an organization?s network. After you take this course, you will be able to assess a company?s security posture and perform a basic vulnerability test.ÿPlus, you will be able to generate reports to guide new security implementation. Course Outline Why Vulnerability Assessment Vulnerability Types Assessing the Network Assessing Web Servers and Applications Assessing Remote and VPN Services Vulnerability Assessments & Tools of the Trade Output Analysis

Duration 4 Days 24 CPD hours This course is intended for This in an intermediate level Java development course geared for students experienced with Java 8 or later programming essentials who wish to quickly get up and running with advanced Java skills. This course does not cover Java programming fundamentals. Overview Students will leave this course armed with the required skills to improve their Java applications using sound coding techniques and best practices. This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in advanced development skills, coupling the most current, effective techniques with the soundest industry practices. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop modular applications in Java Utilize the tooling that is provided in Java 9 to migrate, monitor and optimize applications Use the new JShell tool to quickly test java constructs Understand how the implementation of the String class has been updated to decrease the memory footprint Use the enhancements made to the Concurrency API, working with Completable Future instance of Thread pools Specific Java 9 features that are covered in the course include: The Java Module System (project Jigsaw) JShell Updated try-with-resources Performance enhancements in Java 9 Multi-Release Jar files This fast-track course is designed for experienced developers who have prior working knowledge of basic Java 8 or Java 9 and want to take advantage of the newest features of Java 9 that can help improve performance and functionality of Java 9 applications. You will gain invaluable insight into how to leverage Modules, scale applications into multi-core environments, improve performance, and become a more effective Java 9 developer. Java 9 Updates Review of What is New in Java 9 Milling Project Coin The Java Module system (Jigsaw) Why JigSaw? Introduction to the Module System The Module Descriptor Working with Modules JShell JShell More Java 9 Other New Java 9 Features Performance Optimizations Memory Management (Optional) Multithreading and Concurrency Multithreading Concurrent Java Java 8 Concurrency Updates Reflection and References Introspection and Reflection Reference Objects Effective Java Objects, Declarations, and Initializations Exceptions Writing High-Performance Applications Profiling and Benchmarking Profiling Tools Code Optimization Techniques Code Optimization Myths Design Optimization Techniques