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Duration 5 Days 30 CPD hours This course is intended for This is an introductory-level systems administration course geared for Systems Administrators and users who wish to learn how to how to install, configure and maintain an Enterprise Linux system in a networked environment. Overview This course is about 50% lab to lecture ratio, combining expert instructor-led discussions with practical hands-on skills that emphasize current techniques, best practices and standards. Working in this hands-on lab environment, guided by our expert practitioner, attendees will explore Installing the Linux operating system and configuring peripherals Performing and modifying startup and shutdown processes Configuring and maintaining basic networking services Creating and maintaining system users and groups Understanding and administering file permissions on directories and regular files Planning and creating disk partitions and file systems Performing maintenance on file systems Identifying and managing Linux processes Automating tasks with cron Performing backups and restoration of files Working with system log files Troubleshooting system problems Analyzing and taking measures to increase system performance Configuring file sharing with NFS Configuring Samba for file sharing with the Windows clients Setting up a basic Web server Understanding the components for setting up a LAMP server Implementing basic security measures Linux System Administration is a comprehensive hands-on course that teaches students how to install, configure and maintain an Enterprise Linux system in a networked environment. This lab-intensive class explores core administrative tasks such as: creating and managing users, creating and maintaining file systems, determining and implementing security measures and performing software installation and package management. Linux networking topics include installing and supporting SSH, NFS, Samba and the Apache Web server. Students will explore common security issues, as well as several tools, such as the PAM modules that help secure the operating system and network environment. Upon successful completion of this course, students will be prepared to maintain Linux systems in a networked business environment. Although the course includes installing and configuring a CentOS 7 / RHEL 7 Linux system, much of the course content also applies to Oracle, Ubuntu, Scientific and other current versions of mainstream Linux distributions. Labs include user and group maintenance, system backups and restoration, software management, administration tasks automation, file system creation and maintenance, managing remote access, working with cron, and configuring basic file sharing and Web services, as well as working with system logging utilities such as rsyslog and much more. System Administration Overview UNIX, Linux and Open Source Duties of the System Administrator Superusers and the Root Login Sharing Superuser Privileges with Others (su and sudo Commands) TCP/IP Networking Fundamentals Online Help Installation and Configuration Planning: Hardware and Software Considerations Site Planning Installation Methods and Types Installation Classes Partitions Logical Volume Manager - LVM File System Overview Swap Partition Considerations Other Partition Considerations The Linux Boot Loader: grub Software Package Selection Adding and Configuring Peripherals Printers Graphics Controllers Basic Networking Configuration Booting to Recovery Mode Booting and Shutting Down Linux Boot Sequence The systemd Daemon The systemctl Command Targets vs. Run Levels Modifying a Target Service Unit Scripts Changing System States Booting into Rescue Mode Shutdown Commands Managing Software and Devices Identifying Software Packages Using rpm to Manage Software Using yum to Manage Software Installing and Removing Software Identifying Devices Displaying Device and System Information (PCI, USB) Plug and Play Devices Device Configuration Tools Managing Users and Groups Setting Policies User File Management The /etc/passwd file The /etc/shadow file The /etc/group file The /etc/gshadow file Adding Users Modifying User Accounts Deleting User Accounts Working with Groups Setting User Environments Login Configuration Files The Linux File System Filesystem Types Conventional Directory Structure Mounting a File System The /etc/fstab File Special Files (Device Files) Inodes Hard File Links Soft File Links Creating New File Systems with mkfs The lost+found Directory Repairing File Systems with fsck The Journaling Attribute File and Disk Management Tools Linux File Security File Permissions Directory Permissions Octal Representation Changing Permissions Setting Default Permissions Access Control Lists (ACLs) The getfacl and setfacl commands SUID Bit SGID Bit The Sticky Bit Controlling Processes Characteristics of Processes Parent-Child Relationship Examining Running Processes Background Processes Controlling Processes Signaling Processes Killing Processes Automating Processes cron and crontab at and batch System Processes (Daemons) Working with the Linux Kernel Linux Kernel Components Types of Kernels Kernel Configuration Options Recompiling the Kernel Shell Scripting Overview Shell Script Fundamentals Bash Shell Syntax Overview Shell Script Examples System Backups Backup Concepts and Strategies User Backups with the tar Command System Backup Options The xfsdump and xfsrestore Commands Troubleshooting the System Common Problems and Symptoms Troubleshooting Steps Repairing General Boot Problems Repairing the GRUB 2 Boot Loader Hard Drive Problems Restoring Shared Libraries System Logs and rsyslogd Basic Networking Networking Services Overview NetworkManager Introduction Network Configuration Files Locations and Formats Enabling and Restarting Network Services with systemtcl Configuring Basic Networking Manually Configuring Basic Networking with NetworkManager LAMP Server Basics LAMP Overview Configuring the Apache Web Server Common Directives Apache Virtual Hosting Configuring an Open Source Database MySQL MariaDB PHP Basics Perl CGI Scripting Introduction to System Security Security Overview Maintaining System Security Server Access Physical Security Network Security Security Tools Port Probing with nmap Intrusion Detection and Prevention PAM Security Modules Scanning the System Maintaining File Integrity Using Firewalls Introduction to firewalld The Samba File Sharing Facility Configure Samba for Linux to Linux/UNIX File Sharing Configure Samba for Linux to Windows File Sharing Use the smbclient Utility to Transfer Files Mount/Connect Samba Shares to Linux and Windows Clients Networked File Systems (NFS) Using NFS to Access Remote File Systems Configuring the NFS Server Configuring the NFS Client Exporting File Systems from the NFS Server to the NFS Client

Why Choose 3ds Max Basic to Intermediate Training Course? Course info Looking to take your 3D modelling and animation skills to the next level then Our Intermediate 3DS Max course is designed to help you do just that! A bespoke course ideal for anyone who has a solid understanding of modelling in the 3D environment for films & games. Duration: 20 hrs Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule and hours of your choice, available from Mon to Sat between 9 am and 7 pm. Why Opt for Our 3ds Max Basic to Intermediate Course? Elevate your 3D modeling and animation skills with our tailored Intermediate 3DS Max course, perfect for those proficient in 3D modeling for films and games. 3ds Max Interface: Familiarize yourself with essential interface areas, tool names, and shortcuts. Master the Scene Explorer for comprehensive scene control. Learn initial software settings for an efficient workflow. Organize your project folder for streamlined work management. Enhance workflow through scene navigation shortcuts and visual styles setup. Understand scene unit configuration for precision. Foundations of 3D Modeling: Acquire industry-standard 3D modeling techniques. Implement compositing modeling with procedural geometry. Utilize non-destructive methods via Modifiers to enhance base geometries. Create 3D models using Splines and modifiers like Extrude, Sweep, and Lathe. Explore Boolean operations for complex shape creation. Delve into Mesh Modeling, enabling manual mesh editing for customized objects. Mesh Modeling: Navigate mesh modeling tools in 3ds Max. Model hard surface objects using mesh modeling and other techniques. Unleash creativity in modeling various objects. Material Creation and Application: Understand material basics and texture application. Create, apply, and resize materials on models. Utilize pictures as references for modeling. Apply multiple materials to one object. Incorporate transparency, reflection, and self-illuminating textures. Utilize images with transparency for intricate texture designs. Camera Control Techniques: Learn camera creation and viewpoint adjustment. Modify camera focal length and lock settings for stability. Adjust camera exposure for desired image brightness. Explore cameras with and without targets, understanding their differences. Lighting: Create realistic lighting using daylight systems. Fine-tune daylight settings based on geographical location. Optimize render settings for high-quality output. Utilize various light types for interior illumination. Master light distribution and apply color filters and textures. Implement HDRI environment images for realistic lighting effects. Animation Essentials: Gain a basic understanding of animation principles. Animate objects manually through keyframing. Create walkthrough animations using cameras and paths. Construct efficient camera rigs for path-based animations. Render animations as video output. Advanced Rendering Techniques: Explore rendering with V-Ray Simulate daylight systems and interior lighting in V-Ray Set up studio lighting configurations in both V-Ray advanced rendering. Course Requirements: A computer with 3ds Max and Vray installed (trial versions available on Autodesk and Chaos Group websites) Basic familiarity with 3D modeling concepts is beneficial but not mandatory Enthusiasm for learning 3ds Max and Vray to create impressive 3D models, visualizations, and animations

Duration 5 Days 30 CPD hours This course is intended for This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe network architectures, devices, and software used by service providers Describe the various Internet governance organizations, their roles, and tools available for governance information verification Configure Cisco Internetwork Operating System (Cisco IOS) and Cisco IOS XE routers Describe Cisco IOS XR software, perform initial configuration, and explain platform daily tasks Describe various access and core technologies used by service providers Describe various major switching technologies used by service providers Describe major overlay technologies and their usage, and configure Virtual Extensible LAN I (VxLAN) Describe various major routing protocols used by service providers Configure Layer 3 services used by service providers Describe Multiprotocol Label Switching (MPLS), components, protocols, and MPLS usage Describe usage of various services used and maintained by service providers Introduce Linux networking, Bourne Again Shell (BASH) scripting, and their usage within Cisco IOS XR software This course is designed to provide you with the foundational knowledge for the suite of Cisco© CCNP© Service Provider courses. The course expands what you learned from the Cisco CCNA© course with a focus on theoretical and practical knowledge needed for the Service Provider environment. Through a combination of lessons and hands-on practice, you will learn about architectures, protocols, software and hardware platforms, and solutions within the Service Provider realm. While this course does not lead directly to a certification exam, it does cover foundational knowledge critical to the success in the Service Provider Technology track. Course Outline Introducing Service Provider Architectures Describing Internet Governance Organizations Configuring the Cisco IOS and Cisco IOS XE Router Configuring Cisco IOS XR Router Introducing Access and Core Technologies in the Service Provider Environment Introducing Routing Technologies in the Service Provider Environment Describing MPLS Implementing Layer 3 Services Introducing Switching Technologies in the Service Provider Environment Introducing Overlay Technologies Implementing Service Provider Services Introducing Programmability on Cisco IOS XR Routers Lab outline Review Lab Environment Examine Governance Data Perform an Initial Cisco Internetworking Operating System (IOS XE) Configuration Configure Connectivity and Connectivity Verification on Cisco IOS XE Devices Perform Initial Cisco IOS XR Configuration Configure and Verify Connectivity on Cisco IOS XR Configure Intermediate System to Intermediate System (IS-IS) Configure Routing Information Protocol (RIPv2) and RIP extension (RIPng) Configure Basic Border Gateway Protocol (BGP) Configure MPLS Configure Internet Protocol Service Level Agreement (IP SLA) Configure Hot Standby Router Protocol (HSRP) with Object Tracking Configure Virtual Routing and Forwarding (VRFs) Configure Network Time Protocol (NTP) Use Linux Command Line Interface Configure IOS XR Using a Bash Script

Duration 1 Days 6 CPD hours This course is intended for The content is appropriate for test automation engineering roles, test manager roles, test lead roles, test architect roles, as well as developer roles. This course assumes you have a foundational understanding of testing and the purpose of automation. This course will be beneficial to anyone who is accountable for assessing, planning, designing, and implementing an integrated set of technology (testing infrastructure) that supports development, testing, and deployment. Overview Working in an interactive learning environment, led by our expert facilitator, attendees will learn to: Document the current state of test automation in your organization Define a custom test automation plan and architecture to fit their situation Create an initial implementation plan Identify initial key measures Develop a metrics dashboard for tracking the value of test automation Lay out a future strategy and roadmap to get there Introduction to Test Automation is a one-day, hands-on event designed to provide participants with the skills required to develop a custom test automation plan and architecture for their organization. Throughout the course, students will examine and work through various practical examples, learning how to create an integrated test automation plan and develop a test automation architecture. Participants will also learn about the possible real-world challenges they may face while trying to accomplish their goals, exploring the practical positive aspects of engaging their technical team, along with the possible frustrations of experiencing too much isolation between test automators and test designers. Getting Started Automation beginnings Software as a series of imperfect translations The Compelling Business Needs for Automation Automation the next opportunity Islands of Automation Getting products to market more quickly, at the right costs and quality Automation Challenges and Requirements Automation Challenges Test Automation Key Requirements Foundational material for your automation plan Templates Questions Examples Virtual Consulting included with this course Automation plan vision and strategy Vision, Strategy, Approach Example Defining your end in mind Deciding where to start Engaging Others Conducting a current state tools inventory Assessing your current state - tools and processes Tools inventory example and template Radar Chart as a means of presenting current state information Consider the best automation approach Waterfall vs. agile cycles of work Aligning tools with your methodologies Strategies for Automating The Test Automation Pyramid Developing your test automation architecture Blocks of automation capabilities Islands of Automation Integrated Tools Architecture Template Integrated Tools Architecture Examples Test automation architecture examples Examples of different test automation architectures and frameworks Selenium Key Test Automation Architecture Characteristics Acceptance test-driven and behavior-driven testing overview Test automation approaches FitNesse Cucumber Gherkin script overview Tool workflow Considerations for what to automate and when Categories of tests that might be automated We have many tool choices Key points in Test Tool Architecture Planning Piloting and Implementing automation Selecting and evaluating tools and rolling them out Selling Automation - qualitative questions Selling Automation - quantitative questions Measuring automation benefits Measures in technical terms Measures in business terms Measures of testing vs. measures of test automation Next Steps A few keys to success

Duration 5 Days 30 CPD hours This course is intended for This course is designed for professionals in job roles such as: Communication engineers Project managers Network engineers Software engineers System architects The Developing Applications for Cisco Webex and Webex Devices (DEVWBX) v1.1 course prepares you to use the programmability features of Webex©, Cisco© enterprise solution for video conferencing, online meetings, online training, webinars, web conferencing, cloud calling, and collaboration. Through a combination of lessons and hands-on labs, you will learn about Webex Application Programming Interface (API) Foundation, meetings, devices, teams, messaging, embedding Cisco Webex, administration, and compliance. You will learn how to leverage Webex APIs to extend the functionalities of teams, meetings, and devices, and explore how these APIs can help automate, administer, and enforce compliance. This course prepares you for the 300-920 Developing Applications for Cisco Webex and Webex Devices (DEVWBX) exam. Introducing Webex APIs Foundations Webex as an Extensible Platform Building Cisco Webex Teams Applications Introduction to Webex Messaging Developing with Webex Meetings XML API Describe the Capabilities of Cisco Webex Meetings APIs Automating and Extending Cisco Collaboration Devices with xAPI Overview, Capabilities and Transport Methods for Cisco Endpoint Device Programmability Embedding Cisco Webex Benefits of Embedding Cisco Webex into Other Applications Managing Administration and Compliance with Cisco Webex APIs Administer a Cisco Webex Organization

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

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Duration 3 Days 18 CPD hours This course is intended for This course is designed for IoT practitioners who are looking to improve their skills and knowledge of IoT security and privacy. This course is also designed for students who are seeking the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification and who want to prepare for Exam ITS-110. Overview This program will validate that the candidate has the knowledge, skills, and abilities to secure network environments for IoT devices, analyze vulnerabilities and determine reasonable controls against threats, and effectively monitor IoT devices and respond to incidents. This course is designed for practitioners who are seeking to demonstrate a vendor-neutral, cross-industry skill set that will enable them to design, implement, operate, and/or manage a secure IoT ecosystem. Managing IoT Risks Map the IoT Attack Surface Build in Security by Design Securing Web and Cloud Interfaces Identify Threats to IoT Web and Cloud Interfaces Prevent Injection Flaws Prevent Session Management Flaws Prevent Cross-Site Scripting Flaws Prevent Cross-Site Request Forgery Flaws Prevent Unvalidated Redirects and Forwards Securing Data Use Cryptography Appropriately Protect Data in Motion Protect Data at Rest Protect Data in Use Controlling Access to IoT Resources Identify the Need to Protect IoT Implement Secure Authentication Implement Secure Authorization Implement Security Monitoring on IoT Systems Securing IoT Networks Ensure the Security of IP Networks Ensure the Security of Wireless Networks Ensure the Security of Mobile Networks Ensure the Security of IoT Edge Networks Ensuring Privacy Improve Data Collection to Reduce Privacy Concerns Protect Sensitive Data Dispose of Sensitive Data Managing Software and Firmware Risks Manage General Software Risks Manage Risks Related to Software Installation and Configuration Manage Risks Related to Software Patches and Updates Manage Risks Related to IoT Device Operating Systems and Firmware Promoting Physical Security Protect Local Memory and Storage Prevent Physical Port Access