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Duration 2 Days 12 CPD hours This course is intended for Cybersecurity analysts and engineers Security operations specialists Overview Successful completion of this instructor-led course with hands-on lab activities should enable participants to: Investigate and manage incidents Describe the Cortex XDR causality and analytics concepts Analyze alerts using the Causality and Timeline Views Work with Cortex XDR Pro actions such as remote script execution Create and manage on-demand and scheduled search queries in the Query Center Create and manage the Cortex XDR rules BIOC and IOC Working with Cortex XDR assets and inventories Write XQL queries to search datasets and visualize the result sets Work with Cortex XDR's external-data collection This instructor-led course teaches you how to use the Incidents pages of the Cortex XDR management console to investigate attacks. It explains causality chains, detectors in the Analytics Engine, alerts versus logs, log stitching, and the concepts of causality and analytics. You will learn how to analyze alerts using the Causality and Timeline Views and how to use advanced response actions, such as remediation suggestions, the EDL service, and remote script execution. Multiple modules focus on how to leverage the collected data. You will create simple search queries in one module and XDR rules in another. The course demonstrate how to use specialized investigation views to visualize artifact-related data, such as IP and Hash Views. Additionally, it provides an introduction to XDR Query Language (XQL). The course concludes with Cortex XDR external-data collection capabilities, including the use of Cortex XDR API to receive external alerts. This class is powered by Cloud Harmonics. Course Outline Module 1 - Cortex XDR Incidents Module 2 - Causality and Analytics Concepts Module 3 - Causality Analysis of Alerts Module 4 - Advanced Response Actions Module 5 - Building Search Queries Module 6 - Building XDR Rules Module 7 - Cortex XDR Assets Module 8 - Introduction to XQL Module 9 - External Data Collection

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples

Duration 3 Days 18 CPD hours This course is intended for This course is designed for system administrators and implementors interested in learning IBM Security Verify Access. Overview Describe IBM Security Verify Access product and its key features Discuss the architecture and deployment process Configure IBM Security Verify Access users, groups, and domains Introduce concepts of a reverse proxy and how it fits in your web-based infrastructure Describe protected object space and the policy access control model Explain how to set up reverse proxy junctions to handle web requests Discuss and configure authentication mechanisms that are supported by Verify Access Explain and set up logging, auditing, and tracing for Verify Access components IBM Security Verify Access helps you simplify your users' access while more securely adopting web, mobile, IoT, and cloud technologies. It can be deployed on premises, in a virtual or hardware appliance, or containerized with Docker. Verify Access also directly connects with Verify SaaS for a modernized, hybrid IAM approach to enable your organization's migration to identity as a service (IDaaS) at a comfortable pace. Using the skills taught in this course, you learn how to run Verify Access via Docker, configure authentication and authorization mechanisms, implement policy access control, and set up reverse proxy junctions to process web requests. Hands-on exercises reinforce the skills learned. Unit 1 Introduction to IBM Security Verify Access Unit 2 Architecture and deployment Unit 3 Managing users, groups, and domains Unit 4 Reverse Proxy (WebSEAL) concepts Unit 5 Managing access control Unit 6 Configuring junctions for back-end resources Unit 7 Authentication framework and methods Unit 8 Logging, auditing, and tracing Additional course details: Nexus Humans TW108G IBM Security Verify Access Foundations 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 TW108G IBM Security Verify Access Foundations 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 1 Days 6 CPD hours This course is intended for This course is designed for students who already have experience creating Modern SharePoint sites and populating them with content, who want to learn advanced features to extend SharePoint's capabilities, make information easier to find and manage, use SharePoint features to improve governance and compliance, and improve the security of information and services within the SharePoint environment. Overview In this course, you will perform advanced site-building and administration tasks. You will: Create a custom site template to reduce the time spent creating similarly configured SharePoint sites. Configure managed metadata, including custom term sets, content types, and metadata-based navigation. Control access through permissions. Improve overall security of sites, lists, libraries, folders, list items, and documents. Microsoft© SharePoint©, in conjunction with the Microsoft 365? productivity and office automation suite, provides tools to create and manage a corporate intranet, facilitate content sharing and collaboration, and enable users to create, access, store, and track documents and data in a central location.Users who already have experience as SharePoint site members and owners may be ready to move on to more advanced site-building tasks such as using custom site templates, custom themes, applying advanced permissions settings, improving security, and preparing sites to support governance and compliance.Advanced site builders may be ready to undertake more advanced site management tasks, working in conjunction with their SharePoint Administrator to create and use custom site templates, term sets and metadata, manage information governance and compliance, and get deeper into SharePoint security configuration.This course focuses on these advanced site-building and administration tasks. Lesson 1: Creating Custom Site Templates Topic A: Prepare a Site Script Topic B: Generate and Use a Custom Site Template Lesson 2: Managing Content Services Topic A: Plan and Configure Managed Metadata Topic B: Create and Manage Content Types Topic C: Use Managed Metadata for Navigation and Filtering Lesson 3: Controlling Access Through Permissions Topic A: Assign Permissions Topic B: Manage Permissions Inheritance Lesson 4: Improving Security Topic A: Manage Access at the Site Level Topic B: Manage Access at the Tenant Level

Duration 5 Days 30 CPD hours This course is intended for This course is for experienced information technology (IT) professionals, typically described as Enterprise Desktop Administrators (EDAs). These EDAs deploy, manage, and maintain PCs, devices, and applications across medium, large, and enterprise organizations. A significant portion of this audience uses, or intends to use, the latest release of Configuration Manager to manage and deploy PCs, devices, and applications.This course also is for individuals who are interested in taking Exam 70-703: Administering System Center Configuration Manager and Cloud Services Integration. Courses 20703-1A and 20703-2A, or equivalent knowledge and skills, are necessary to prepare for this exam. Overview After completing this course, students will be able to:Describe the features Configuration Manager and Intune include, and explain how you can use these features to manage PCs and mobile devices in an enterprise environment.Analyze data by using queries and reports.Prepare a management infrastructure, including configuring boundaries, boundary groups, and resource discovery, and integrating mobile-device management with Microsoft Exchange Server.Deploy and manage the Configuration Manager client.Configure, manage, and monitor hardware and software inventory, and use Asset Intelligence and software metering.Identify and configure the most appropriate method to distribute and manage content used for deployments.Distribute, deploy, and monitor applications for managed users and systems.Maintain software updates for PCs that Configuration Manager manages.Implement Endpoint Protection for managed PCs.Manage configuration items, baselines, and profiles to assess and configure compliance settings and data access for users and devices.Configure an operating-system deployment strategy by using Configuration Manager.Manage and maintain a Configuration Manager site. This course describes how to use Configuration Manager and its associated site systems to efficiently manage network resources. In this five-day course, you will learn day-to-day management tasks, including how to manage applications, client health, hardware and software inventory, operating system deployment, and software updates by using Configuration Manager. You also will learn how to optimize System Center Endpoint Protection, manage compliance, and create management queries and reports. Additionally, this course, in conjunction with Microsoft Official Course 20703-2A, helps certification candidates prepare for Exam 70-703: Administering System Center Configuration Manager and Cloud Services Integration. Managing computers and mobile devices in the enterprise Overview of systems management by using enterprise management solutions Overview of the Configuration Manager architecture Overview of the Configuration Manager administrative tools Tools for monitoring and troubleshooting a Configuration Manager site Lab : Exploring the Configuration Manager tools Searching in the Configuration Manager console Using Windows PowerShell with Configuration Manager Using Configuration Manager Service Manager to manage components Monitoring site and component status Reviewing log files by using the Configuration Manager Trace tool Explain how to use Configuration Manager to address the challenges of managing systems and users in today?s enterprise. Describe the Configuration Manager architecture. Describe the management tools that you use to perform administrative functions for Configuration Manager. Describe the tools that you use to monitor and troubleshoot a Configuration Manager site. Analyzing data using queries and reports Introduction to queries Configuring Microsoft SQL Server Reporting Services (SSRS) Lab : Creating and running queriesConfiguring boundaries and resource discovery Creating data queries Creating subselect queries Creating status message queries Lab : Configuring SSRS Configuring a reporting services point Creating a report by using Report Builder Create and configure data and status message queries. Configure and manage SSRS and the reporting services point. Preparing the management infrastructure to support PCs and mobile devices Configuring site boundaries and boundary groups Configuring resource discovery Configuring the Exchange Server Connector for mobile device management Configuring user and device collections Lab : Configuring boundaries and resource discovery Configuring boundaries, boundary groups, and fallback relationships Configuring Active Directory discovery methods Lab : Configuring user and device collections Creating a device collection Creating a user collection Configuring a maintenance window Configure boundaries and boundary groups. Configure resource discovery. Configure the Exchange Server connector mobile device management. Organize resources using device and user collections. Deploying and managing clients Overview of the Configuration Manager client Deploying the Configuration Manager client Configuring and monitoring client status Managing client settings in Configuration Manager Lab : Deploying the Microsoft System Center Configuration Manager client software Preparing the site for client installation Deploying the Configuration Manager client software by using client push installation Lab : Configuring and monitoring client status Configuring and monitoring client health status Lab : Managing client settings Configuring client settings Describe the requirements and considerations for installing the Configuration Manager client software. Deploy the Configuration Manager client software. Configure and monitor client status. Manage Configuration Manager client settings. Managing inventory for PCs and applications Overview of inventory collection Configuring hardware and software inventory Managing inventory collection Configuring software metering Configuring and managing Asset Intelligence Lab : Configuring and managing inventory collection Configuring and managing hardware inventory Lab : Configuring software metering Configuring software metering Lab : Configuring and managing Asset Intelligence Preparing the site for Asset Intelligence Configuring Asset Intelligence Monitoring license agreements by using Asset Intelligence Viewing Asset Intelligence reports Describe inventory collection. Configure and collect hardware and software inventory. Manage inventory collection. Configure software metering. Configure Asset Intelligence. Distributing and managing content used for deployments Preparing the infrastructure for content management Distributing and managing content on distribution points Lab : Distributing and managing content for deployments Installing a new distribution point Managing content distribution Prepare the infrastructure for content management. Distribute and manage content on distribution points. Deploying and managing applications Overview of application management Creating applications Deploying applications Managing applications Deploying virtual applications by using System Center Configuration Manager (Optional) Deploying and managing Windows Store apps Lab : Creating and deploying applications Installing and configuring the Application Catalog roles Creating applications with requirements Deploying applications Lab : Managing application supersedence and removal Managing application supersedence Uninstalling the Excel Viewer application Lab : Deploying virtual applications by using Configuration Manager (Optional) Configuring support for App-V Deploying virtual applications Lab : Using Configuration Manager to deploy Windows Store apps Configuring support for sideloading Windows Store apps Configuring a Windows Store app Deploying Windows 10 apps to users Describe the application management features of Configuration Manager. Create applications. Deploy applications. Manage applications. Configure and deploy virtual applications. Configure and deploy Windows Store apps. Maintaining software updates for managed PCs The software updates process Preparing a Configuration Manager site for software updates Managing software updates Configuring automatic deployment rules Monitoring and troubleshooting software updates Lab : Configuring the site for software updates Configuring and synchronizing the software update point Lab : Deploying and managing software updates Determining software update compliance Deploying software updates to clients Configuring automatic deployment rules Describe how the software updates feature integrates with Configuration Manager. Prepare the Configuration Manager site for software updates. Manage the evaluation and deployment of software updates. Configure automatic deployment rules. Monitor and troubleshoot software updates. Implementing Endpoint Protection for managed PCs Overview of Endpoint Protection in Configuration Manager Configuring, deploying, and monitoring Endpoint Protection policies Lab : Implementing Microsoft System Center Endpoint Protection Configuring the System Center Endpoint Protection point and client settings Configuring and deploying Endpoint Protection policies Monitoring Endpoint Protection Configure Endpoint Protection to detect and remediate malware and security vulnerabilities. Configure, deploy, and manage Endpoint Protection policies. Managing compliance and secure data access Overview of Compliance Settings Configuring compliance sett

Duration 5 Days 30 CPD hours This course is intended for This course is for all Oracle Professionals. Specifically Database Administrators, Web Server Administrators, System Administrators, CIOs and other IT Management Professionals. Overview Upon successful completion of this course, students will be able to understand configuration for installation, configuration of a host system, using Oracle Restart framework, troubleshooting tips, how the database fits with other systems, internals of the database, database failures and other topics. In this course, students will focus on configuration on supported systems. Also how the database fits in with other systems. Oracle Database Architercture Overview The Database Instance Database Memory Structures Database Process Structures Database Storage Architecture Oracle Clusterware Configuring the Host for Standalone Installlation Host Configuration Overview Choosing a Database Host Choosing an Operating System Proprietary Unix vs Open-Source Linux Making the OS Selection Prepare an Oracle LINUX Installation Perform Oracle LINUX Installation Configure the LINUX Host Step 1 - Confirm General System Requirements Step 2 - Confirm The Operating System Platform Step 3 - Confirm LINUX Package Requirements Step 4 - Confirm Network Configuration Configure Host for Virtualization VM Technologies Configure Oracle Linux for Virtualization Step 1 - Download Linux Updates Step 2 - Check Linux Kernel Step 3 - Download Latest yum Configuration File Step 4 - Enable Oracle Linux Add-ons Step 5 - Install VirtualBox Oracle Optimal Flexible Architecture OFA Goals ORACLE_BASE ORACLE_HOME Database Files Multiple ORACLE_HOMEs Databse Software Upgrades Mutliple Oracle Software Installations GRID Infrastructure Configuration Configure the Linux Installation About ASM Devices Configure Linux Devices for ASM Partioning a Device Oracle ASMLib Configue MS Windows Devices GRID Infrastructure Installation Perform the Installation Download Unpack the Installation Package Launch the Installation Session The Installation Dialog Verify the Installation Operating System Confirmation Oracle Utilities Setup SQL*Plus Confirmation Using EM Cloud Control Troubleshooting Problems DATABASE Installation Configuraion Configure a Linux Installation System Groups & Users Configure Kernel Parameters Create the Physical Directories Configure MS Windows Installation Prerequisite Checks & Fixup Utility DATABASE Installation ABOUT THE INSTALLATION The Installation Tools About The Installation Dialog The Installation Session Log PERFORM INSTALLATION ON LINUX Download Unpack The Installation Files Set Environment Variables Launch The Installation SERVER CLASS INSTALLATION DIALOG More About The Global Database Name About Enterprise Manager Cloud Control Secure The New Database PERFORM INSTALLATION ON WINDOWS Launch The Installation POST---INSTALLATION CONFIGURATION Required Environment Variables Defining The Environment Variables About SSH VERIFY THE INSTALLATION SQL*PlusConfirmation Operating System Confirmation Firewall Configuration Accessing EM Database Express Creating Databses Using DBCA About DBCA DBCA Templates Are You Sure? DEFAULT CONFIGURATION DATABASE ADVANCED MODE DATABASE File Location Variables Database Vault and Label Security CONFIGURE AN EXISTING DATABASE DELETE A DATABASE MANAGE TEMPLATES MANUALLY CREATE A DATABASE The CREATE DATABASE Command Using Oracle Restart WHAT IS ORACLE RESTART? What Oracle Restart Does Is Oracle Restart Deprecated? Registering With Oracle Restart More About srvctl Terminal Session Configuration COMPONENT STATUS USING SRVCTL Database Status Grid Infrastructure Status Oracle Home Status CONFIGURATION USING SRVCTL Examining A Database Configuration Examining The Listener Configuration Examining The ASM Configuration Manual Registration ListenerConfiguration Modification Database ConfigurationModification STARTUP/SHUTDOWN USING SRVCTL Why Use srvctl? MANAGING ORACLE RESTART Obtaining Oracle Restart Status Start/Stop Oracle Restart Preparing for a Database Upgrade What is a Database Upgrade? Database Upgrade Methods Real World Database Upgrade Develop A Database Upgrade Plan ABOUT THE DATABASE VERSION Direct Upgrade The COMPATIBLE Database Parameter PRE-UPGRADE PREPARATIONS Oracle Warehouse Builder Oracle Label Security (OLS) Oracle Database Vault Locating The Older Database Installations THE PRE-UPGRADE INFORMATION TOOL Pre-Upgrade Information Tool Files Run The Pre---Upgrade Information Tool Examining The Pre---Upgrade Information Tool Results Upgrade to Oracle Databse 12c Launch DBUA Database Upgrade Dialog Post-Upgrade Tasks Post-Upgrade Checklist Enable Unified Auditing Migrate to Unified Auditing Database Parameter Changes Enable New Features Source Destination Specific Post-Upgrade Tasks Oracle Architecture: The Systems Infrastructure About Enterprise Architectures The Relational Database Legacy Computing Models The Multi-Tiered Computing Model Scaling Up Cloud-Based Deployment ORACLE INFRASTRUCTURE ECOSYSTEM USING ORACLE ENTERPRISE MANAGER More About EM Using EM Database Express Using EM Cloud Control Oracle Architecture: The Database Host The Database Server Stack PROCESSOR LAYER CPU Resources Memory Resources I/O & STORAGE PROCESSING OS LAYER PROCESSING MODES DATABASE SERVER VIRTUALIZATION STORAGE VIRTUALIZATION ORACLE DATABASE SERVER STACK ORACLE ENGINEERED SYSTEMS Oracle Exadata Database Platform Exalogic Cloud Machine Exalytics BI Machine Oracle Architecture: Princilples & Technology Concepts Grid Computing Principles Why Grid Computing? What Is Grid Computing? PARALLELIZATION PRINCIPLES Hardware Parallelization Grid Computing Devices Clustered Database Servers CLOUD COMPUTING PRINCIPLES Multi-Tenancy Oracle Architecture: The RDBMS Installation & the Database Instance The Database Server Software Database Versions & Releases Database Editions Using PRODUCT_COMPONENT_VERSION View The Core Database Components Using V$VERSION View Understanding The Database Version Number The COMPATIBLE Database Parameter DATABASE INSTANCE ELEMENTS Individual Elements Of A Database Instance Physical Database Elements An Operational Database installation DATABASE INSTANCE CONFIGURATIONS Single Instance Parameter Files & Instance Configuration MAX_STRING_SIZE Parameter Example Independent Instances Clustered Instances The Database Instance In A Multi-tenant Configuration RECONFIGURING A DATABASE INSTANCE Static Vs. Dynamic Parameters Dynamic Parameter Setting Parameter Setting Scope Parameter Setting Level Setting Upgrade Related Parameters DATABASE COMPONENTS Advanced Data Functionality Components Security Components High-Performance Components Administration Components Database F

Duration 0.25 Days 1.5 CPD hours This course is intended for This course is intended for individuals who want to learn how to stay safe online. Overview Upon successful completion of this course, students will be able to understand how to avoid social engineering and stay safe online. In this course, students will learn how to use the internet safely, and learn traps to avoid. The need for security Compliance Recognize social engineering and other attacks Secure Devices Passwords Identify viruses and malware Use the Internet safely Browsing the web Email Social media Cloud services Additional course details: Nexus Humans CyberSAFE: Staying Safe in a Digital World 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 CyberSAFE: Staying Safe in a Digital World 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 This course is designed for individuals seeking a role as an associate-level cybersecurity analyst and IT professionals desiring knowledge in Cybersecurity operations or those in pursuit of the Cisco Certified CyberOps Associate certification including Students pursuing a technical degree Current IT professionals Recent college graduates with a technical degree Overview After taking this course, you should be able to Explain how a Security Operations Center (SOC) operates and describe the different types of services that are performed from a Tier 1 SOC analyst's perspective. Explain Network Security Monitoring (NSM) tools that are available to the network security analyst. Explain the data that is available to the network security analyst. Describe the basic concepts and uses of cryptography. Describe security flaws in the TCP/IP protocol and how they can be used to attack networks and hosts. Understand common endpoint security technologies. Understand the kill chain and the diamond models for incident investigations, and the use of exploit kits by threat actors. Identify resources for hunting cyber threats. Explain the need for event data normalization and event correlation. Identify the common attack vectors. Identify malicious activities. Identify patterns of suspicious behaviors. Conduct security incident investigations. Explain the use of a typical playbook in the SOC. Explain the use of SOC metrics to measure the effectiveness of the SOC. Explain the use of a workflow management system and automation to improve the effectiveness of the SOC. Describe a typical incident response plan and the functions of a typical Computer Security Incident Response Team (CSIRT). Explain the use of Vocabulary for Event Recording and Incident Sharing (VERIS) to document security incidents in a standard format. The Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS) v1.0 course teaches you security concepts, common network and application operations and attacks, and the types of data needed to investigate security incidents. This course teaches you how to monitor alerts and breaches, and how to understand and follow established procedures for response to alerts converted to incidents. Through a combination of lecture, hands-on labs, and self-study, you will learn the essential skills, concepts, and technologies to be a contributing member of a cybersecurity operations center (SOC) including understanding the IT infrastructure, operations, and vulnerabilities. This course helps you prepare for the Cisco Certified CyberOps Associate certification and the role of a Junior or Entry-level cybersecurity operations analyst in a SOC. Course Outline Defining the Security Operations Center Understanding Network Infrastructure and Network Security Monitoring Tools Exploring Data Type Categories Understanding Basic Cryptography Concepts Understanding Common TCP/IP Attacks Understanding Endpoint Security Technologies Understanding Incident Analysis in a Threat-Centric SOC Identifying Resources for Hunting Cyber Threats Understanding Event Correlation and Normalization Identifying Common Attack Vectors Identifying Malicious Activity Identifying Patterns of Suspicious Behavior Conducting Security Incident Investigations Using a Playbook Model to Organize Security Monitoring Understanding SOC Metrics Understanding SOC Workflow and Automation Describing Incident Response Understanding the Use of VERIS Understanding Windows Operating System Basics Understanding Linux Operating System Basics Additional course details: Nexus Humans Cisco Understanding Cisco Cybersecurity Operations Fundamentals v1.0 (CBROPS) 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 Understanding Cisco Cybersecurity Operations Fundamentals v1.0 (CBROPS) 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 Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 2 Days 12 CPD hours This course is intended for Cybersecurity analysts and engineers and security operations specialists, as well as administrators and product deployers. Overview Successful completion of this instructor-led course with hands-on lab activities should enable you to: Describe the architecture and components of the Cortex XDR family Use the Cortex XDR management console Create Cortex XDR agent installation packages, endpoint groups, and policies Deploy Cortex XDR agents on endpoints Create and manage exploit and malware prevention profiles Investigate alerts and prioritize them using starring and exclusion policies Tune Security profiles using Cortex XDR exceptions Perform and track response actions in the Action Center Perform basic troubleshooting related to Cortex XDR agents Deploy a Broker VM and activate the Local Agents Settings applet Understand Cortex XDR deployment concepts and activation requirements Work with the Customer Support Portal and Cortex XDR Gateway for authentication and authorization This instructor-led training enables you to prevent attacks on your endpoints. After an overview of the Cortex XDR components, the training introduces the Cortex XDR management console and demonstrates how to install agents on your endpoints and how to create Security profiles and policies. The training enables you to perform and track response actions, tune profiles, and work with Cortex XDR alerts. The training concludes with discussions about basic troubleshooting of the agent, the on-premises Broker VM component, and Cortex XDR deployment. Course Outline This class is comprised of the following modules: Module 1 - Cortex XDR Family Overview Module 2 - Cortex XDR Main Components Module 3 - Cortex XDR Mangement Components Module 4 - Profiles and Policy Rules Module 5 - Malware Protection Module 6 - Exploit Protection Module 7 - Cortex XDR Alerts Module 8 - Tuning Policies using Exceptions Module 9 - - Response Actions Module 10 - Basic Agent Troubleshooting Module 11 - Broker VM Overview Module 12 - Deployment Consideration