5714 Computing & IT courses

Duration 1 Days 6 CPD hours This course is intended for Cybersecurity Essentials provides foundational knowledge in cybersecurity and is recommended for all non-technical professionals who wish to develop an understanding of cyber safety. Overview After completing this course, students will be able to: Identify and reduce human errors that put organizations at risk for a cyber-attacks. Define Ransomware, Phishing, and Data Breaches to understand the differences. Identify the motives of hackers. Assess how data breaches occur. Develop a plan on how to protect accounts and privacy. Create a strong and secure password. Work in a secure manner while using remote Wi-Fi access. Safely use Virtual Private Networks (VPN). Identify vulnerabilities in home networks to keep them secure. Identity different social engineering techniques e.g. phishing, vishing. Detect social engineering attempts and prevent potential breaches. Prevent hackers from accessing a Mobile phone. Cybersecurity Essentials was developed using unparalleled learning methodology that prepares cadets for the Israeli Cyber and Intelligence Unit. It is designed to tackle human error by helping develop an advanced understanding and skills to protect individuals and organizations against the most common cyber threats. INTRODUCTION TO CYBERSECURITY Introduction to the world of cybersecurity; basic terminology, and why cybersecurity is so important. Review of famous cyber-attacks. ACCOUNTS & CREDENTIALS SECURITY One of the most common elements linking cyber-attacks is compromised or weak credentials. Learn different ways hackers can acquire passwords, and what to do when accounts have been compromised. How to prevent such attacks including best protection methods and password management and introduction to tools for testing and creating strong passwords. REMOTE SECURITY: WI-FI & VPN Evaluate main risks that arise when using public and non-protected Wi-Fi networks. Differentiate between private and public Wi-Fi networks, define what a VPN is and how to use it, and how to browse safely in remote environments. SOCIAL ENGINEERING How hackers take advantage of ?human-based vulnerabilities?. Define social engineering and the different types of attacks that can leverage social engineering, such as phishing or vishing. Learn how to detect social engineering attempts and prevent future breaches. MOBILE SECURITY Minimize the risk of an attack on mobile device and understand basic security principles for mobile applications. Learn how to protect photos, browsing history, text messages, and confidential business information such as emails, documents, access permission and more. Additional course details: Nexus Humans Cybersecurity Essentials 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 Cybersecurity Essentials 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 Administrator Developer System Integrator Systems Administrator Overview Install WebLogic Server 12c Deploy applications to WebLogic Server Deploy share libraries and application that use them to WebLogic Server Backup and restore a WebLogic Server domain Create a WebLogic Server domain Configure and monitor WebLogic Server Configure WebLogic Server database resources Create and configure a WebLogic Server cluster Configure WebLogic Server's authentication provider This Oracle WebLogic Server 12c: Administration I training teaches you how to perform the most important Oracle WebLogic Server 12c administrative tasks., and gives an overview of the architecture and concepts of Oracle WebLogic Server 12c. WebLogic Server OverviewInstalling and Patching WebLogic ServerCreating DomainsStarting ServersUsing the Administration ConsoleConfiguring JDBCMonitoring a DomainNode ManagerDeploying ApplicationsShared Java EE LibrariesNetwork Channels and Virtual HostsClusters: Overview, Create, & ConfigClusters: Proxies & SessionsClusters: Communication, Planning & TroubleshootingTransactionsWebLogic Server SecurityBacking Up a Domain and Upgrading WebLogic Server

Duration 5 Days 30 CPD hours This course is intended for System Administrator Administrator Java EE Developer Web Administrator Technical Consultant Security Administrators Technical Administrator Overview Configure WebLogic features including domain templates, system start up, crash recovery, work managers, multi data sources, security policies, and automatic JTA migration Configure Coherence features Perform a rolling upgrade of WebLogic Server Write and run WLST scripts Deploy shared libraries and applications using deployment plans and versioning Configure SSL for WebLogic Server This Oracle WebLogic Server 12c: Administration II is a continuation of the Oracle WebLogic Server 12c: Administration I course. This Oracle WebLogic Server 12c: Administration II is a continuation of the Oracle WebLogic Server 12c: Administration I course.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 2 Days 12 CPD hours This course is intended for There is no specific prerequisite for the CDRP© course. However, participants who have at least three years' experience in a data centre and/or IT infrastructures will be best suited. Overview After completion of the course, the participant will be able to: 1. Understand the different standards and methodologies for risk management and assessment 2. Establish the required project team for risk management 3. Perform the risk assessment, identifying current threats, vulnerabilities and the potential impact based on customised threat catalogues 4. Report on the current risk level of the data centre both quantitative and qualitative 5. Anticipate and minimise potential financial impacts 6. Understand the options for handling risk 7. Continuously monitor and review the status of risk present in the data centre 8. Reduce the frequency and magnitude of incidents 9. Detect and respond to events when they occur 10. Meet regulatory and compliance requirements 11. Support certification processes such as ISO/IEC 27001 12. Support overall corporate and IT governance Introduction to Risk Management Risk management concepts Senior management and risk Enterprise Risk Management (ERM) Benefits of risk management Data Centre Risk and Impact Risk in facility, power, cooling, fire suppression, infrastructure and IT services Impact of data centre downtime Main causes of downtime Cost factors in downtime Standards, Guidelines and Methodologies ISO/IEC 27001:2013, ISO/IEC 27005:2011, ISO/IEC 27002:2013 NIST SP 800-30 ISO/IEC 31000:2009 SS507:2008 ANSI/TIA-942 Other methodologies (CRAMM, EBIOS, OCTAVE, etc.) Risk Management Definitions Asset Availability/Confidentiality/Integrity Control Information processing facility Information security Policy Risk Risk analysis/Risk assessment/Risk evaluation/ Risk treatment Threat/Vulnerability Types of risk Risk Assessment Software The need for software Automation Considerations Risk Management Process The risk management process Establishing the context Identification Analysis Evaluation Treatment Communication and consultation Monitoring and review Project Approach Project management principles Project management methods Scope Time Cost Cost estimate methods Context Establishment General considerations Risk evaluation, impact and acceptance criteria Severity rating of impact Occurrence rating of probability Scope and boundaries Scope constraints Roles & responsibilities Training, awareness and competence Risk Assessment - Identification The risk assessment process Identification of assets Identification of threats Identification of existing controls Identification of vulnerabilities Identification of consequences Hands-on exercise: Identification of assets, threats, existing controls, vulnerabilities and consequences Risk Assessment - Analysis and Evaluation Risk estimation Risk estimation methodologies Assessment of consequences Assessment of incident likelihood Level of risk estimation Risk evaluation Hands-on exercise: Assessment of consequences, probability and estimating level of risk Risk Treatment The risk treatment process steps Risk Treatment Plan (RTP) Risk modification Risk retention Risk avoidance Risk sharing Constraints in risk modification Control categories Control examples Cost-benefit analysis Control implementation Residual risk Communication Effective communication of risk management activities Benefits and concerns of communication Risk Monitoring and Review Ongoing monitoring and review Criteria for review Risk scenarios Risk assessment approach Data centre site selection Data centre facility Cloud computing UPS scenarios Force majeure Organisational shortcomings Human failure Technical failure Deliberate acts Exam: Certified Data Centre Risk Professional Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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 Technical professionals who need to install, configure, and manage Virtual Security Extension (VSX) solutions within their network security environment. Overview Explain the benefits of virtual network security. Understand the basic functions, components, and advantages of VSX technology. Examine the VSX management infrastructure and understand how traffic flows within a VSX network. Discuss options for deploying VSX technology within various types of organizations. Understand how to install and configure VSX Gateways and Virtual Systems. Describe different routing schemes and features that are available to use within the VSX environment. Understand how to deploy additional VSX networking configurations that may be required in the environment. Understand the differences between deploying physical Security Gateway Clusters and VSX Gateway Clusters. Understand how Virtual System Load Sharing works to enhance VSX network performance. Understand how to use the VSX Provisioning Tool to add and remove virtual devices. Recall how CoreXL technology enhances Security Gateway performance and recognize how to use the technology in a VSX environment. Understand how to employ tools for optimizing resources allocated in a VSX environment. Identify various VSX command line tools commonly used to retrieve information and perform configuration changes. Understand how to use VSX utility commands to perform various maintenance tasks for the VSX environment. Understand how to troubleshoot and debug issues that may occur in a VSX environment. This course provides a comprehensive understanding of the Check Point VSX solution and describes how to deploy it within the corporate network environment. Course Topics VSX Overview Virtual System Installation and Configuration VSX Clustering Advanced VSX Features Troubleshooting VSX LAB EXERCISES Configuring the VSX Environment Deploying a Virtual System with a Physical Interface Deploying a VS with Bonded VLAN Interfaces Configuring Virtual System HA Converting VSX High Availability to Virtual System Load Sharing Maintaining the VSX Environment Using the CLI to Manage VSX Performance Tuning in VSX Troubleshooting VSX Issues Upgrading a VSX Environment Additional course details: Nexus Humans CCVS Check Point Certified VSX Specialist 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 CCVS Check Point Certified VSX Specialist 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 recommended for technical professionals who need to deploy and manage Endpoint Security within their security environment. Overview Explain how Endpoint Security works to enforce corporate security compliance for end users and their devices. Become familiar with the Check Point Endpoint Security Solution architecture and how it integrates with Check Point Network Security Management. Identify and describe key elements of the SmartEndpoint Management console. Discuss Endpoint Security Software Blade options and how they are managed from the SmartEndpoint Management console. Explain how to create and assign security policies for Endpoint clients using Endpoint Security. Understand deployment methods and server considerations for Endpoint Security Management installation. Identify the different ways to install and configure Endpoint clients. Recognize how to configure VPN connectivity to allow clients connecting outside of the network perimeter to securely access corporate resources. Understand how Endpoint Security authenticates and verifies clients connecting to the Endpoint Security Management Server. Describe additional server configurations that are available to help manage Endpoint clients. Recognize the different types of data security protections available to deploy on end user machines. Describe how Full Disk Encryption technology protects and recovers data accessed and stored on Endpoint computers. Understand how to secure removable media devices. Become familiar with the Remote Help tool and how it supports clients experiencing FDE and Media Encryption issues. Recognize the types of threats that target Endpoint computers. Describe Check Point SandBlast Agent and how to deploy it in the Endpoint Security environment. Explain how SandBlast Agent technology prevents malware from infiltrating Endpoint machines and corporate resources. Identify SmartEndpoint reporting tools used to monitor and respond quickly to security events. Understand how to troubleshoot and debug issues. The goal of this course is to provide a comprehensive understanding of Check Point Endpoint Security and how to deploy it within the corporate network environment. Course Topics Introduction to Endpoint Security Endpoint Security Management Deploying Endpoint Security Additional Endpoint Server Configurations Data Security Protection Advanced Threat Prevention Reporting and Troubleshooting LAB EXERCISES Installing the Endpoint Security Management Solution Deploying Endpoint Client Packages Deploying Endpoint Policy Servers Configuring High Availability for Endpoint Security Modifying Client Installations Working with Deployment Rules Working with SandBlast Agent Additional course details: Nexus Humans CCES Check Point Certified Endpoint Specialist 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 CCES Check Point Certified Endpoint Specialist 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 0.5 Days 3 CPD hours Overview By the end of the course, delegates will know: The difference between cybersecurity and physical security Identify what information is sought after How to protect valuable data and accounts How to detect a data breach How to respond to an incident How to recover from a data breach A security checklist Why You Should Care What are cybersecurity threats How to improve cybersecurity Account access best practices How to protect cloud-based information How to prevent phishing Detecting a data breach Responding to a data breach Protection against scams

The first Club and Community Forum will be held online on September 30th, 7-8pm. We'll discuss: Introduction to the forum and gathering your expectations. Active Lancashire and Sport Welfare Officer roles. Creating positive club and community cultures. Future forum plans and your input. The forum aims to connect people, share experiences, and promote best practices. We look forward to a successful first meeting.