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OVERVIEW Learn how to build, test, and deploy modern applications using GitHub Actions, Docker, and Ansible in a fully automated CI/CD pipeline. In today’s fast-paced development environments, the ability to automate and streamline software delivery is more critical than ever. CI/CD: Build, Test, and Deploy is a hands-on, three-day course designed to help developers, DevOps engineers, and IT professionals build confidence and fluency in modern continuous integration and deployment practices. Through a blend of real-world examples, guided labs, and practical demos, learners will explore how to build robust pipelines using GitHub Actions, Docker, and Ansible—tools that are shaping the future of software delivery. The course begins by grounding participants in the principles of DevOps and the CI/CD lifecycle, then dives into authoring workflows, automating tests, and deploying applications across environments. Along the way, learners will gain experience with containerization, secure pipeline practices, and monitoring strategies that support scalable, reliable releases. Whether you're new to CI/CD or looking to sharpen your automation skills, this course offers a structured, approachable path to mastering the tools and techniques that power modern DevOps. OBJECTIVES Explain the need for CI/CD and how it differs from traditional workflows   Describe the difference between Continuous Integration, Delivery, and Deployment   Build automated pipelines using tools like GitHub Actions   Implement automated testing workflows   Deploy applications using configuration tools like Ansible   Build and deploy Docker images through automated CI/CD workflows AUDIENCE This course is ideal for professionals who are ready to take the next step in modern software delivery. Whether you're a junior developer looking to break into DevOps, an IT operations specialist exploring automation, or a QA engineer aiming to streamline deployment workflows, you'll find practical value here. It's also a great fit for Site Reliability Engineers and anyone involved in building or maintaining CI/CD pipelines who wants to deepen their hands-on experience with GitHub Actions, Docker, and Ansible. CONTENT 1. What is DevOps?  Definition and core principles DevOps lifecycle and stages DevOps vs traditional development DevOps culture, collaboration, and benefits Real-world DevOps use cases 2. Introduction to CI/CD  CI/CD overview and importance CI vs CD vs CDP explained Business value of automation CI/CD tools and workflow diagram Feedback loops and adoption challenges 3. Breakdown of CI/CD Stages  Source, Build, Test, Release Deploy, Operate, Monitor Pipeline stage dependencies 4. Build Stage : Foundations   Understanding build stage and Git basics GitHub Actions and workflow triggers YAML syntax and folder structure 5. Build Stage – Workflow Authoring  Write GitHub Actions build workflow Install, build steps, and logging 6. Docker & Containerization  What is Docker and containerization Writing and tagging Dockerfiles Docker in CI/CD pipelines Docker security tips 7. Test Stage  Importance and types of testing Testing tools (PyTest, Jest) Add test job to GitHub Actions Handle test failures and visualize results 8. Deploy Stage  Deployment concepts and environments Deployment using GitHub Actions Docker image deployment 9. Ansible Basics for Deployment  What is Ansible and why use it Inventory files and SSH setup Playbook structure and common tasks 10. Adding Ansible to GitHub Actions  Trigger Ansible from GitHub Actions Use dawidd6/action-ansible-playbook Pass secrets and inventory securely 11. Securing Your Pipeline  GitHub secrets and .env files Avoid hardcoded values Compliance gates and approvals 12. Monitoring and Best Practices  GitHub logs and Prometheus basics What to monitor in CI/CD Caching and optimization tips

OVERVIEW Learn to build, train, and deploy deep learning models with PyTorch—bridging foundational concepts to real-world AI applications. Foundations of Deep Learning with PyTorch: From Tensors to Real-World Models is a hands-on, immersive course designed to help learners build a solid understanding of deep learning through the lens of PyTorch. Whether you're a software engineer, data scientist, or aspiring ML practitioner, this course guides you from the fundamentals of tensor operations and model construction to deploying real-world applications in computer vision and natural language processing. The emphasis is on practical skills—learners will not only grasp the theory behind neural networks but also gain the confidence to build, train, and evaluate models using PyTorch’s intuitive and flexible framework. Participants will explore essential deep learning workflows, including data preprocessing, model optimization, and performance evaluation, while working with popular libraries like torchvision and HuggingFace Transformers. The course also introduces responsible AI practices and deployment strategies using tools like FastAPI and Docker, preparing learners to take their models from experimentation to production. By the end, learners will have developed and deployed models for tasks such as image classification and sentiment analysis, equipping them with the skills to tackle real-world AI challenges with confidence. OBJECTIVES Understand the core components of the PyTorch framework, including tensors, autograd, and neural network modules. Construct and train neural networks using PyTorch’s modular API for various deep learning tasks. Load, preprocess, and augment datasets using PyTorch utilities for image and text data. Apply optimization techniques such as backpropagation, regularization, and learning rate tuning to improve model performance Build and evaluate models for real-world applications in computer vision (e.g., CNNs) and natural language processing (e.g., RNNs/LSTMs). Fine-tune pretrained NLP models (e.g., BERT) and evaluate on domain-specific datasets. Utilize transfer learning and pretrained models to accelerate development on custom datasets. "Deploy PyTorch models for inference using TorchScript or ONNX in production-ready formats. Deploy trained models as REST APIs using FastAPI, TorchScript, and containerization techniques. AUDIENCE Software engineers or developers with basic Python programming skills Aspiring or early-career Machine Learning engineers Data scientists looking to strengthen their deep learning foundation AI enthusiasts who understand ML concepts (like supervised learning, overfitting, optimization). Professionals aiming to transition into AI/ML roles Students or researchers who want practical hands-on experience with PyTorch. Teams or individuals tasked with building, training, or deploying ML models Anyone who has basic knowledge of vectors, matrices, and calculus (helpful but not mandatory) Cloud familiarity (e.g., using Colab or cloud notebooks) is beneficial. CONTENT Getting Started with PyTorch and Building Blocks of Deep Learning Welcome and Setup  Tensors and Operations Autograd and Computational Graphs PyTorch Modules & Custom Models Training Loop Mechanics Training Like a Pro – Dataloaders, Training Strategies, and Vision Models Data Loading and Preprocessing Training Best Practices Model Evaluation & Metrics Introduction to Computer Vision with CNNs Saving, Loading, and Deploying Models End if Day Challenge - Mini Project Applied PyTorch – NLP Models and End-to-End Project Intro to NLP with PyTorch Transformers with HuggingFace Transfer Learning & Fine-Tuning Advanced Optimization Techniques Model Deployment and Production Readiness Responsible NLP

Hands-on training voor advocaten en juridisch professionals. Begrijp wat kunstmatige intelligentie (AI) nu voor jou kan betekenen, vergroot jouw productiviteit, en bespaar (tientallen) uren per maand. Wat je leert in de training De focus ligt op het praktisch toepassen van AI-gestuurde tools zoals ChatGPT, Copilot, Claude, Perplexity en GenIA-L in verschillende aspecten van het juridische werk, zoals juridisch onderzoek, documenten opstellen, en cliëntcommunicatie. De training biedt hands-on ervaring en concrete casussen om je te helpen de vaardigheden te verwerven die nodig zijn om deze geavanceerde tools effectief en veilig in jouw dagelijkse werkzaamheden te gebruiken. Zelf aan de slag met effectief prompten Tijdens de training ga je oefenen met effectief prompten. Het is daarom wenselijk om voorafgaand aan de training een (gratis) account aan te maken via www.chatgpt.com. Ook maak je kennis met GenIA-L – juridische/fiscale assistent die generatieve AI combineert met de inhoud van betrouwbare bronnen in Rechtsorde. Doelgroep Advocaten en juridische professionals die geïnteresseerd zijn in het integreren van moderne technologieën in hun praktijk. De deelnemers variëren van beginnende advocaten die hun efficiëntie willen verhogen tot ervaren juridische experts die hun dienstverlening willen verbeteren door middel van AI-gestuurde tools, zoals ChatGPT, Copilot, Claude, Perplexity en GenIA-L. Technische voorkennis of ervaring met dergelijke tools zijn niet vereist voor deze training. 

OVERVIEW A course delivered by technical specialists with a view to understanding how we solve a broad range of business challeges using Omnissa Horizon 8. This session explains how and why we use Horizon 8 Virtual Desktops and Published Applications across platforms in On-Prem, Hybrid, and Cloud environments.   Updated June 2026 OBJECTIVES By the end of this session, attendees should be able to: Understand the role and function of all Horizon Components Understand both Cloud and On-premises deployment Architecture options Deploy and configure a Horizon Pod Deplaying and configuring a Standard and Replica server Adding a Capacity Provider Licensing Options Event Database configuration Deploying and Configuring the Unified Access Gateway in a clustered infrastructure Overview of Horizon Recording Services Understanding Horizon Brokering requirements for on-premises and multi-site architectures Global and local server load-balancing concepts Configure Horizon Cloud Pod Architecture to solve high availability and scalability requirements. Authentication Options with Omnissa Horizon Configure a secure Single Sign-On solution using Omnissa Access Federation overview of Access with Horizon Federation overview of Access with Unified Access Gateway Deploying and Configuring Horizon TrueSSO Deploying and Configuring Enrollment Services Omnissa Horizon Graphics Configuration and Deployment overview Omnissa Horizon session Protocols Overview Overview of Horizon Blast Overview of PCoIP & PCoIP Ultra Overview of RDP (Remote Desktop Protocol) Horizon Administration Options Image Management best practices for Full Clone and Instant Clone Desktop Pools SysPrep and Clone Prep requirements Deploying , Configuration and Maintenance options for Persistant and Non-persistant Desktop Pools Deploying Configuration and Maintenance Options RDS Server farm Horizon Linux Desktop Pool Image Management and Desktop Pool Deployment Monitoring Options in the Horizon Admin Console Administrative options using the LDS Database App Volumes integration with Horizon Horizon Agent and Client Options Using App Volumes and Dynamic Environment Manager attendees should be able to: Understand the role and function of all App Volumes Components. Understand App Volumes Architecture and Components. Understanding the Provisioning Process of building a Package. Understanding the benefits , configuration requirements and options related to Classic Delivery of applications. Understanding the benefits , configuration requirements and options related to On-Demand Delivery of applications. Learning how to setup App Volumes Storage Groups for Multi-site scenarios Understanding best Practices related to the setup, configuration and use of Writable Volumes. Using App Volumes tools command line options and Delivery of applications. Understanding Dynamic Enviromment Manager Architecture and Components An overview of Group Policy based configuration An overview of NOAD mode configuration An understanding of how Dynamic Environment Manager sync and replication works An understanding of the Conditional element of Dynamic Environment Manager Dynamic Environment Manager Advanced configurations for example, Smart Policies and Triggered Tasks Dynamic Environment Manager Optional components:- Self Support Tool Help Desk Support Tool Application Profiler Dynamic Environment Manager Sync Tool An Overview of ThinAPP AUDIENCE - Administrators with Experience - Systems Engineers - Consulting Architects - Citrix Specialists - Microsoft End-User Computing specialists CERTIFICATION Omnissa Certified Professional Desktop (OCPD) NEXT STEP None CONTENT 1. Omnissa Reference Architecture Overview At the end of this module you will learn Omnissa best practices with the regard to Designing Horizon. 2. Horizon 8 Architecture Overview At the end of this module you should have a clear understanding of the primary components that make up Horizon 8.Understand the Architectural Options available and deployment terminology, when deploying Horizon 8 for both on-premises , Hybrid and Cloud deployments. 3. Horizon Connection Server Overview The primary requirements and install options when deploying the Horizon Connection Server. 4. Horizon Recording Services Overview In this Module we will look at business challenges Horizon Recording Services addresses. Its Architecture, components and associated deployment and Administrative functions. 5. Securing the Horizon Transport Once Connection Server/s are deployed, knowing when to and when not to enable Tunneling of sessions. 6. Workspace ONE Integration with Horizon Understand what Omnissa Intelligence, Hub Services and Workspace ONE UEM are and the role they might play with Horizon in solving business challenges. 7. Unified Access Gatway Overview You will learn what Architecture, deployment and configuration options are validated, when using the Unified Access Gateway. 8. Horizon Brokering Understand the Horizon Transport and how this will translate when communicating local and global server load balancing requirements for Horizon. 9. Horizon Desktop Pool Administration Now that you understand the Horizon Architecture, deploying and configuring a Desktop Pool options will be clearer. We will cover the entire process starting with Image creation best practices , deployment of Pools to Maintenance operations. Our main focus is the creation and deployment of Windows Desktop Pools. 10. Horizon Linux Desktop Deployment In this module we will provide and overview of the traditional and Easy Setup to Image creation for Linux based Desktop Pool deployments. 11. Horizon Authentication and Single-Sign On requirements At the end of this module you will understand what authentication options Horizon supports directly and how Horizon will integrate with Identity Providers both 3rd Party and Omnissa Access. The role that Enrollment services plays to ensure Single Sign-On and how this is configured. 12. Cloud Pod Architecture At the end of this module you will understand what challenges Cloud Pod Architecture solves and the elements involved when enabling and configuring Cloud Pod Architecture. 13. Horizon RDS Published Applications How we deploy and configure a RDS Server Farm and what the options are for Application Pools. We also cover App Volumes integrations with Horizon. 14. Horizon Agent and Client Options An overview of the most important security and performance related settings which are available directly through the agent and client but can also be configured through the Admin Console and Group Policy settings. 15. Horizon Protocols At the end of this module you will understand what Codecs Horizon Blast supports. You will get an overview of the PCoIP and the RDP protocol. 16. Horizon Graphics At the end of this module you will understand what is Software and Hardware 3D rendering options are supported and an overview of the configuration process. 17. Horizon Administrative Tasks At the end of this module you will understand the primary elements that make up the Horizon Admin Console to support, configure troubleshoot a User Horizon Desktop session or a Published Application session. You will have an overview of Horizon Performance tracker and be introduced to the Real Time monitoring options available. You will also walk through the process of Delegating privilege to administrators in an enterprise. 18. ThinAPP Overview Understanding why ThinAPP is still a relevant solution with Modern lifecycle management. A overview of the Components and the ThinApp Capture cycle. Understanding what Isolation Modes are, The function of the Sandbox and we support and maintain ThinAPP Packages 19. Introduction & Architecture of App Volumes At the end of this module you will understand what business challenges App Volumes solves, the components that make up App Volumes and its Architecture. 20. Working with Application Packages At the end of this module you will understand the App Volumes provisioning process. How App Volumes integrates with an organization application life-cycle management strategy. Understand the difference in the two primary strategies, that being Classic delivery and On-Demand Delivery. 21. App Volumes OnDemand Delivery Understand the configuration options for On-demand Delivery for both Desktop and RDS Farm, Published Application Delivery. 22. App Volumes Advanced Configurations Understand the function and how to setup Storage Groups What to know about the Snapvol.cfg configuration file App Volumes Command Line packaging using appcapture.exe 23. Dynamic Environment Manager Architecture and Console Overview This is an introduction to the concept of Profile management , Dynamice Environment Manager Architecture , its components and how it works. 24. Dynamic Environment Manager Advanced Configurations Understand what in the context of Dynamic Environment Manager, an Environment is, why it would necessary to use Dynamic Environment across Environments and how Environments are configured. Understand how we configure Dynamic Environment Manager to integrate with ThinApp applications Understand how Dynamic Environment Manager integrates with Workspace ONE UEM The value of configureing Smart Policies and Triggered Tasks and how this is configured. 25. Dynamic Environmement Manager Optional Components   You will get an overview and requirements to setup:- Self Support Tool Help Desk Support Tool Application Profiler Dynamic Environment Manager Sync Tool

OVERVIEW Master real world Horizon 8 problem solving with Omnissa certified instruction Delivered by an Omnissa Certified Instructor, the Horizon 8: Troubleshooting course provides common Horizon infrastructure troubleshooting scenarios, focusing on developing problem-solving skills and ensuring solutions are effective and free of side effects in real-world environments. OBJECTIVES Develop a structured approach to troubleshooting. Resolve common issues that occur in a Horizon environment. Discuss Horizon Connection Server advanced configurations. Interpret Horizon Connection Server logs. Identify Unified Access Gateway configuration and certificate problems. Describe BLAST configuration verification using logs and settings. Describe how Horizon connections work and how to troubleshoot issues. Describe the use of TLS/ SSL certificates in Horizon and list troubleshooting steps for common problems. Describe Cloud Pod Architecture troubleshooting scenarios. Learn about the command line tools available. Learn the importance of optimizing Windows for use in Horizon and learn what should be optimized to improve system performance and reliability. Discuss how to troubleshoot problems related to instant clone VMs. Identify steps that you can follow to solve problems related to Horizon Client. Discuss troubleshooting steps applicable to device redirection in HorizonTroubleshoot redirection common problems. AUDIENCE Intermediate to advanced practitioners that support Horizon 8 environments. CONTENT 1 Course introduction Introductions and course logistics Course objectives 2 Review of Omnissa Horizon Review Horizon 8 architecture 3 Introduction to troubleshooting How to troubleshoot Troubleshooting resources 4 Horizon infrastructure troubleshooting Horizon Connection Server general troubleshooting Active Directory Lightweight Directory Service replication Working with Horizon Connection Server logs 5 Unified Access Gateway troubleshooting Unified Access Gateway deployment errors Monitor the Unified Access Gateway Troubleshoot a Unified Access Gateway Certificate Tools for troubleshooting connections on the Unified Access Gateway Troubleshooting the Unified Access Gateway 6 Blast configuration verification How to verify the current Blast configuration 7 Blast optimization Blast optimization overview Optimizing Blast for Wide Area Networks Work from home and home office to cloud Optimizing for quality 8 Horizon connections troubleshooting Understanding Horizon connections Horizon connections load balancing Troubleshooting Horizon connections Key ports and protocols Black screen 9 TLS certificate troubleshooting Horizon 8 TLS certificates Troubleshooting TLS certificates in Horizon 8 10 Cloud Pod architecture troubleshooting Cloud Pod architecture troubleshooting 11 Command line tools About the command line tools and how to use them Backing up and restoring Horizon 8 databases 12 Troubleshooting machines and desktops Help Desk tool deep dive Troubleshooting machines and desktops Troubleshooting Linux desktops 13 Optimizing Windows desktops and servers Why optimize a Windows image? Windows OS optimization tool for Horizon Using automation to build optimized Windows images 14 Troubleshooting instant clones Troubleshooting instant clones 15 Troubleshooting Horizon Client Horizon Client for Windows Horizon Client for Linux Horizon Client for Mac Horizon Web Client (HTML Access) 16 Troubleshooting device redirection Device redirection Nested RDSH redirection

OVERVIEW Gain hands-on expertise in security operations, incident investigation, and system optimization to effectively protect modern environments. This 3-day instructor-led course provides in-depth training on Cortex XDR, Palo Alto Networks' powerful extended detection and response platform. You will gain hands-on expertise in security operations, incident investigation, and system optimization to effectively protect modern environments. The course reviews XDR intricacies, from fundamental components to advanced strategies and techniques, including skills needed to configure security integrations, develop workflows, manage indicators, and optimize dashboards for enhanced security operations. OBJECTIVES Describe the role of Cortex XDR components, including endpoint agents, XDR collectors, NGFWs, and Broker VMs, in securing networks and devices. Utilize XQL to query and analyze logs for effective data ingestion and threat detection. Design and implement workflows to streamline security operations. Apply External Dynamic Lists and indicator rules to enforce security policies. AUDIENCE - SOC/CERT/CSIRT/XDR engineers and managers - MSSPs and service delivery partners/system integrators - Security consultants and sales engineers. CERTIFICATION Palo Alto Networks Certified XDR Engineer CONTENT Course Modules 0 - Course Overview 1 - Overview of Cortex XDR 2 - Software Components 3 - Integrations 4 - XQL 5 - Detection Engineering 6 – Platform Automation 7 - System Optimization 8 - Dashboards and Reports 9 – Email Security

OVERVIEW The Palo Alto Networks Panorama: Centralized Network Security Administration course is two days of instructor-led  training that should help you to: - Learn how to configure and manage the next-generation Panorama management server - Gain experience configuring templates (including template variables) and device groups - Activate, configure, and manage Prisma Access using Panorama OBJECTIVES This course should help students gain experience configuring and managing Palo Alto Networks Panorama management servers. Administrators that complete this course should become familiar with the Panorama management server’s role in managing and securing the overall network. AUDIENCE -  Security Administrators - Security Operations Specialists - Security Analysts CERTIFICATION Palo Alto Networks Certified Next-Generation Firewall Engineer CONTENT Initial Configuration Adding Firewalls Templates Device Groups Prisma Access Overview Activate and Configure Templates and Device Groups Configure Service Connections Secure Remote Networks

OVERVIEW Exclusive - Unlock the power of technology training and enhance your expertise in topics such as cloud, cybersecurity, web development, DevOps, core coding skills, AI, and project management. With almost 40,000 learning assets curated in job and certification learning paths, Codecademy Expert is the most hands-on and comprehensive technology skilling solution for IT professionals. Learn, practice, and apply new skills in the award-winning Percipio learning environment with video courses, labs, lab challenges, skills benchmarks, certification prep, as well as thousands of eBooks and audiobooks. Access full catalog here Cloud Non-Vendor Cloud AWS Microsoft Azure Google Cloud Software Development Programming Application Development Web Development Entire Codecademy Catalog Networking & IT Services Infrastructure & Operations IT Service Management DevOps CompTIA Security Project Management IT Project Management Agile & Scrum AI and Data Machine Learning and Artificial Intelligence (AI) Internet of Things Data Analytics & Big Data Microsoft Microsoft 365 Microsoft Teams Microsoft Office MS Learn Business Skills & Productivity Business Skills Productivity & Collaboration Tools Leadership Digital Transformation Diversity, Equity & Inclusion OBJECTIVES CONTENT Aspire Journeys Connect learning to development with guided paths mapping from where you are now to where you want to be. A clear starting point across the roles and responsibilities of tomorrow. Exercises for on-the-job applications to put what you've learned into practice. Verifiable, shareable, and portable digital badges so you can celebrate accomplishments along the way. A diverse array of assets for all learning styles Video Courses Codecademy includes almost 18,000 high quality and engaging video learning courses. Labs & Challenge Lab Challenge Labs are innovative scenario-based labs that allow you to sharpen skills in a safe, smart environment in topics such as AWS, Azure, Hybrid, and Multi-Cloud. They are available in three levels (Guided, Advanced, and Expert), and provide immediate validation of your skills as well as feedback and guidance if you get stuck while tackling a lab challenge. Skills Benchmarks Our Skills Benchmarks are designed to give you a proficiency score for a particular skill based upon a standard set of objectives defined by a subject matter expert. Skills Benchmarks are integrated within the Percipio Learning Management System which will give you specific content recommendations targeted to any questions you answered incorrectly. This helps to keep your focus on those things that you need to improve, rather than things you already know. Certification Prep Elevate your knowledge and skills with more than 100 practice tests, designed to skill-check and help you attain some of the most sought-after IT certifications such as Azure Fundamentals, Azure Security Technologies, AWS Certified Solutions Architect Professional, AWS Certified Cloud Practitioner, CCSP, CISA, CEH, Security+, CCNA, ENCOR, PMP, ITIL, and PRINCE2. eBooks and Audiobooks The collection also includes access to the complete text of thousands of online books, book summaries, audiobooks, as well as research reports.

OVERVIEW Explore new features and changes in Red Hat Enterprise Linux 10 to prepare for deployment. “New Features in Red Hat Enterprise Linux” prepares students to successfully deploy Red Hat Enterprise Linux 10 by exploring its new features and enhancements. This course enables students to identify the key differences and improvements to leverage RHEL 10’s full potential. Topics include performance optimization, security enhancements, and user interface changes This course empowers students to implement the system effectively and to maximize its capabilities in their environment and enables them to upskill, focusing on the latest advancements of RHEL 10.  Note: Starting January 1, 2026, Red Hat introduces RHLS-Course — a flexible subscription model now included with this catalog offering. This replaces the previous direct virtual class enrollment from Global Knowledge. When you purchase this item, you’ll receive an RHLS subscription at the course level, giving you the freedom to choose the schedule that works best and self-enroll in your selected class. Your RHLS subscription includes: • One live, instructor-led virtual session • 12 months of self-paced learning access • One certification exam with a free retake  Onsite Classroom-based sessions and closed course options remain unchanged. Updated Jan2026   Virtueel en Klassikaal™ Virtueel en Klassikaal™ is een eenvoudig leerconcept en biedt een flexibele oplossing voor het volgen van een klassikale training. Met Virtueel en Klassikaal™ kunt u zelf beslissen of u een klassikale training virtueel (vanuit huis of kantoor )of fysiek op locatie wilt volgen. De keuze is aan u! Cursisten die virtueel deelnemen aan de training ontvangen voor aanvang van de training alle benodigde informatie om de training te kunnen volgen. OBJECTIVES After this course participants should be able to: Describe selected improvements and feature changes in Red Hat Enterprise Linux 10. Install RHEL 10 in package mode, interactively or by using Kickstart. Get AI-driven guidance and suggestions to efficiently manage a RHEL server by using Red Hat Enterprise Linux Lightspeed. Install, upgrade, and use desktop software from the Red Hat Ecosystem Catalog by using Flatpak. Manage containers and container images with the updated container management tools. Create, use, install, and upgrade containers and servers that use image-based installation management. AUDIENCE System administrators, platform engineers, developers, and other IT professionals with experience managing Red Hat Enterprise Linux 9 and earlier that need to prepare for Red Hat Enterprise Linux 10 deployment and operations. CERTIFICATION None NEXT STEP Red Hat Enterprise Linux Automation with Ansible (RH294 - AU294) CONTENT 1- Overview of Red Hat Enterprise Linux 10 Describe selected improvements and feature changes in Red Hat Enterprise Linux 10. 2- Installing Red Hat Enterprise Linux Install Red Hat Enterprise Linux in package mode, either interactively or by using Kickstart. 3- Getting AI-assisted Help with Red Hat Enterprise Linux Lightspeed Get AI-driven guidance to efficiently manage a RHEL server by using Red Hat Enterprise Linux Lightspeed. 4- Installing and Updating Applications by Using Flatpak Install, upgrade, and use desktop software that is provided from the Red Hat Ecosystem Catalog by using Flatpak. 5- Managing Containers with Podman Manage containers and container images with the latest version of container management tools.

OVERVIEW This course will provide you with an introduction to materials management and provide instruction on creating bills of material using SAP S/4HANA AUDIENCE Application Consultants Business Analyst Business Process Architects Business Process Owner / Team Lead / Power Users Program / Project Managers Solution Architects CONTENT Master Data for Production Accessing and Creating Types of Data Using Organizational Elements and Master Data in Production Material Overview Material Creating a Material Classifying Material Managing the Material Product Master Bills of Material (BOMs) Overview: BOM Managing BOMs Changing BOMs with Engineering Change Management (ECM) Mass changes and a browser Analyzing BOMs Work Centers Creating Work Centers Creating Capacities in a Work Center Task Lists Explaining the Structure of a Task List Creating Material Assignments and Component Allocations Creating Suboperations and User-Defined Fields Creating Production Resources and Tools Analyzing and Changing Task Lists Advanced Bill of Material Functions Describing Phantom Assemblies Creating Co-Products and By-Products Creating Alternative Components Creating Multiple BOMs Creating Variant BOMs Advanced Routing Functions Modeling Sequences Modeling Alternative Manufacturing Processes Creating Reference Operation Sets Applying Lead-Time Scheduling to Update a Material Master Record Scheduling Time Elements and Reduction in the Routing Allowing for Scrap in the Routing Appendix Engineering Workbench PLM Web User Interface Customizing Material Routing