Duration 4 Days 24 CPD hours This course is intended for Security-operations (SecOps), or security, orchestration, automation, and response (SOAR) engineers, managed security service providers (MSSPs), service delivery partners, system integrators, and professional services engineers Overview This training is designed to enable a SOC, CERT, CSIRT, or SOAR engineer to start working with Cortex XSOAR integrations, playbooks, incident-page layouts, and other system features to facilitate resource orchestration, process automation, case management, and analyst workflow. The course includes coverage of a complete playbook-development process for automating a typical analyst workflow to address phishing incidents. This end-to-end view of the development process provides a framework for more focused discussions of individual topics that are covered in the course. The Cortex? XSOAR 6.8: Automation and Orchestration (EDU-380) course is four days of instructor-led training that will help you: Configure integrations, create tasks, and develop playbooks Build incident layouts that enable analysts to triage and investigate incidents efficiently Identify how to categorize event information and map that information to display fields Develop automations, manage content, indicator data, and artifact stores, schedule jobs, organize users and user roles, oversee case management, and foster collaboration This class is powered by Cloud Harmonics. Course Outline Module 1 - Core Functionality and Feature Sets Module 2 - Enabling and Configuring Integrations Module 3 - Playbook Development Module 4 - Classification and Mapping Module 5 - Layout Builder Module 6 - Solution Architecture Module 7 - Docker Module 8 - Automation Development and Debugging Module 9 - The Marketplace and Content Management Module 10 - Indicators and Threat Intelligence Management Module 11 - Jobs and Job Scheduling Module 12 - Users and Role-Based Access Controls (RBAC) Module 13 - Integration Development Additional course details: Nexus Humans Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) 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 Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) 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 If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client
Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures
Get ready to tackle one of the most exciting and prominent features of the Go language with the help of this comprehensive course. If you are looking forward to getting started with advanced topics such as concurrency and levelling up your Go(lang) skills, then you are in the right place.
Streamline your accounting processes with Sage 50 Accounts. Manage finances efficiently, track expenses, and generate insightful reports. Explore our user-friendly software solution to take control of your business finances today.
Duration 2 Days 12 CPD hours This course is intended for The course is targeted at professionals who have never worked with Microsoft 365 before, or who have yet to move beyond its basic functions. The target audience typically includes individuals, professionals, and organizations who are looking to improve their productivity, collaboration, and communication using the suite of applications and services provided by Microsoft 365. This could include office workers, project managers, IT professionals, and small to large-scale businesses who want to maximize the benefits of cloud-based solutions for their daily operations. Overview Upon successfully completing this course, students will have confidence in using the Microsoft 365 applications. Students will increase their work productivity and decrease time on completing tasks. In this course, students will learn how to use different tools of Microsoft 365 for better online collaboration, including OneDrive, SharePoint, Teams, Excel, Outlook, Word, and PowerPoint. First Steps in Office 365 The Difference Between Office 365 and Microsoft 365 Pros and cons of Microsoft 365 First Steps on mobile devices OneDrive Introduction - What is Microsoft OneDrive? How To Access Microsoft OneDrive? Upload Files Share Files Sync Files Recycle Bin Using OneDrive How To Access Onedrive On Phone? Teams - Simplify Collaboration within Companies Discover new ways to collaborate and communicate An introduction to your central place in Office 365 How to launch and install Teams The Interface of Microsoft Teams Use the Teams window to structure your organization Use Channels to structure the Teams window Use Tabs to access tools and information Communicate with others via Chat Keep track of activities Meetings, video conferencing and screen sharing Share files effectively Manage teams and permissions for organizational structuring Use Teams effectively on mobile devices Final remarks SharePoint Sites Introduction First Steps Document Library - First Steps Document Library - Set and Manage Alerts Document Library - Understanding Versioning Sync Libraries Share a Site Picture Library Lists Calendar Tasks Discussion Board Outlook First Steps in Mail Improved Search Function Work with Folders Settings Working with the Mail App Calendar People Tasks Excel Online Introduction Open and Edit an Excel Online Workbook Limitations of Excel Online Create a New Workbook with Excel Online Edit a Workbook Simultaneously with another Person Working with the Excel AppUse Excel effectively on mobile devices PowerPoint Online Introduction Open a PowerPoint Online Presentation Edit a Presentation Online Limitations of PowerPoint Online Create a Presentation with PowerPoint Online Working with the PowerPoint App Use Power Point effectively on mobile devices Word Online Introduction Open and Edit a Word Document Online Limitations of Word Online Create a New Document Edit a Document Simultaneously Working with the Word App
This course is for anyone that knows basic HTML and a little CSS that wants to take their frontend website and UI creation to the next level using the Materialize CSS framework which is based off of Google's Material Design scheme. You will learn all of the CSS and JavaScript components, animations/transitions and build 5 beautiful and completely responsive, real world themes from absolute scratch. Custom Materialize Sandbox I have created a completely custom HTML learning environment for the first few sections of this course. Each lecture has an html page associated with it and has a start state. As we move along through the lectures, you code along with me learning all that Materialize offers including CSS components, utilities, JS widgets and more. 5 Real Projects/Themes We will create the following projects from scratch.. Travelville - A travel agency website/theme (Carousel slider, autocomplete, scrolling navigation) Quazzu - Cloud hosting theme (SideNav, cards, CSS overlays) Madmin - Interactive admin theme (Working todo list, charts, preloader, counter script) BizLand - Business consultation theme with a full screen landing page (Scrollfire, Google maps integration) Galappear - Graphic design portfolio (Uses Sass and scrollfire for scroll animations) What you'll learn Learn to correctly structure HTML 5 documents with semantic tags and attributes Learn and create amazing high quality Materialize themes and UIs from scratch Learn the Materialize utilities, classes, components & JS widgets using a custom sandbox environment Learn some custom JavaScript/JQuery to make your themes more interactive Requirements Basic HTML & CSS Who is the target audience? Anyone that wants to learn & master Materialize CSS and build real world themes Intro & Getting Started Welcome To The Course FREE 00:06:00 What is Materialize & Why Use It FREE 00:05:00 Environment Setup 00:09:00 Materialize Sandbox Setup 00:07:00 CSS Components - Part 1 Typography & Alignment 00:10:00 Text & Background Colors 00:08:00 Buttons and Icons 00:11:00 Floating & Fixed Action Buttons 00:13:00 Navbar 00:16:00 Collections & Badges 00:13:00 The Grid System 00:11:00 CSS Components - Part 2 Cards 00:22:00 Breadcrumbs & Footer 00:09:00 Basic Form & Input 00:15:00 Fancy Form & Input 00:15:00 Tables & Media 00:06:00 Chips & Pagination 00:10:00 Preloaders 00:05:00 Interactive Components - Part 1 Carousel 00:08:00 Collapsible Accordions 00:06:00 Feature Discovery 00:07:00 Dialogs 00:09:00 Material Box and Slider 00:07:00 Modals 00:09:00 Interactive Components - Part 2 Parallax 00:03:00 Side Nav 00:09:00 Pushpin 00:09:00 Scrollspy 00:05:00 Tabs 00:08:00 Project 1 - Travelville Project 1 Intro 00:02:00 Navbar & Sidenav 00:12:00 Image Slider 00:07:00 Search & Icon Boxes 00:11:00 Popular Places & Gallery 00:14:00 Contact Section & Scrollspy 00:12:00 Project 2 - Quazzu Project 2 Intro 00:03:00 Navbar & Showcase 00:15:00 Icon Boxes, About and Overlay 00:14:00 Podcast Section & Testimonial Carousel 00:14:00 Footer & Login Modal 00:08:00 Solutions Page 00:16:00 Signup Page 00:10:00 Project 3 - Madmin Project 3 Intro 00:04:00 Navbar & Sidenav 00:12:00 Stat Counters & Preloader 00:15:00 Display Chart & Recent Comments 00:13:00 Recent Posts & Todo List 00:16:00 Floating Button & Modals 00:12:00 Posts & Categories Pages 00:15:00 Comments & Users Pages 00:10:00 Login & Details Pages 00:13:00 Project 4 - BizLand Project 4 Intro 00:02:00 Full Screen Header 00:14:00 ScrollFire & Boxes 00:12:00 About, Testimonials & ScrollSpy 00:13:00 Contact & Google Map 00:14:00 Project 5 - Galappear (With Sass) Project 5 Intro 00:02:00 Koala Setup & Sass 00:12:00 Header and Nav 00:09:00 Changing & Using Variables 00:04:00 Gallery Layout 00:11:00 Modals & ScrollFire 00:12:00 Inner Pages 00:08:00
Welcome to the Linux Network Administration course for beginners, designed for students who want to learn everything about the networking components within a Linux system. This course is essential for anyone working with Linux, covering basic to intermediate networking concepts and skills, providing a solid foundation for pursuing a career in the field.
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