50381 Courses delivered Online

This course will provide all staff with an awareness of food hygiene. It also covers the recommended yearly refresher in Food Hygiene.

Duration 4.5 Days 27 CPD hours This course shows you how to configure IBM Datacap and its components on a multi-system setup. You also learn about IBM Datacap Navigator configuration, system administration, and maintenance.

Duration 2 Days 12 CPD hours This course is intended for The intended audience for this comprehensive course on Information Assurance and STIGs includes professionals with roles such as: IT professionals - System administrators, network engineers, and security analysts who are responsible for maintaining and securing IT infrastructure and web applications. Developers - Software engineers and web developers who design, implement, and maintain web applications, and need to integrate security best practices throughout the development process. Project teams - Cross-functional teams that collaborate on application development projects, including members from development, testing, and deployment teams. Technical leads - Senior software engineers or architects who oversee technical aspects of projects and ensure the implementation of secure design and coding practices. Project managers - Professionals responsible for planning, executing, and closing projects, ensuring that security requirements are met throughout the project lifecycle. Overview Working in an interactive learning environment, guided by our application security expert, you'll explore: The concepts and terminology behind defensive coding Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets The entire spectrum of threats and attacks that take place against software applications in today's world The role that static code reviews and dynamic application testing to uncover vulnerabilities in applications The vulnerabilities of programming languages as well as how to harden installations The basics of Cryptography and Encryption and where they fit in the overall security picture The requirements and best practices for program management as specified in the STIGS The processes and measures associated with the Secure Software Development (SSD) The basics of security testing and planning Understand the concepts and terminology behind defensive coding Understand Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets Learn the entire spectrum of threats and attacks that take place against software applications in today's world Discuss the role that static code reviews and dynamic application testing to uncover vulnerabilities in applications Understand the vulnerabilities of programming language as well as how to harden installations Understand the basics of Cryptography and Encryption and where they fit in the overall security picture Understand the fundamentals of XML Digital Signature and XML Encryption as well as how they are used within the web services arena Understand the requirements and best practices for program management as specified in the STIGS Understand the processes and measures associated with the Secure Software Development (SSD) Understand the basics of security testing and planning The Information Assurance (STIG) Overview is a comprehensive two-day course that delves into the realm of Information Assurance, empowering you to enhance your cybersecurity skills, understand the essentials of STIGs, and discover cutting-edge web application security practices. This immersive experience is tailored for IT professionals, developers, project teams, technical leads, project managers, testing/QA personnel, and other key stakeholders who seek to expand their knowledge and expertise in the evolving cybersecurity landscape. The course focuses on the intricacies of best practices for design, implementation, and deployment, inspired by the diverse and powerful STIGs, ultimately helping participants become more proficient in application security.The first half of the course covers the foundations of DISA's Security Technical Implementation Guides (STIGs) and learn the ethical approach to bug hunting, while exploring the language of cybersecurity and dissecting real-life case studies. Our expert instrtors will guide you through the importance of respecting privacy, working with bug bounty programs, and avoiding common mistakes in the field.The next half delves into the core principles of information security and application protection, as you learn how to identify and mitigate authentication failures, SQL injections, and cryptographic vulnerabilities. You?ll gain experience with STIG walkthroughs and discover the crucial steps for securing web applications.Throughout the course, you'll also explore the fundamentals of application security and development, including checklists, common practices, and secure development lifecycle (SDL) processes. You?ll learn from recent incidents and acquire actionable strategies to strengthen your project teams and IT organizations. You'll also have the opportunity to explore asset analysis and design review methodologies to ensure your organization is prepared to face future cybersecurity challenges. DISA's Security Technical Implementation Guides (STIGs) The motivations behind STIGs Requirements that the various software development roles must meet Implementing STIG requirements and guidelines Why Hunt Bugs? The Language of CyberSecurity The Changing Cybersecurity Landscape AppSec Dissection of SolarWinds The Human Perimeter Interpreting the 2021 Verizon Data Breach Investigation Report First Axiom in Web Application Security Analysis First Axiom in Addressing ALL Security Concerns Lab: Case Study in Failure Safe and Appropriate Bug Hunting/Hacking Working Ethically Respecting Privacy Bug/Defect Notification Bug Bounty Programs Bug Hunting Mistakes to Avoid Principles of Information Security Secuity Is a Lifecycle Issue Minimize Attack Surface Area Layers of Defense: Tenacious D Compartmentalize Consider All Application States Do NOT Trust the Untrusted Identification and Authentication Failures Applicable STIGs Quality and Protection of Authentication Data Proper hashing of passwords Handling Passwords on Server Side Session Management HttpOnly and Security Headers Lab: STIG Walk-Throughs Injection Applicable STIGs Injection Flaws SQL Injection Attacks Evolve Drill Down on Stored Procedures Other Forms of Server-Side Injection Minimizing Injection Flaws Client-side Injection: XSS Persistent, Reflective, and DOM-Based XSS Best Practices for Untrusted Data Lab: STIG Walk-Throughs Applications: What Next? Common Vulnerabilities and Exposures CWE/SANS Top 25 Most Dangerous SW Errors Strength Training: Project Teams/Developers Strength Training: IT Organizations Cryptographic Failures Applicable STIGs Identifying Protection Needs Evolving Privacy Considerations Options for Protecting Data Transport/Message Level Security Weak Cryptographic Processing Keys and Key Management Threats of Quantum Computing Steal Now, Crack Later Threat Lab: STIG Walk-Throughs Application Security and Development Checklists Checklist Overview, Conventions, and Best Practices Leveraging Common AppSec Practices and Control Actionable Application Security Additional Tools for the Toolbox Strength Training: Project Teams/Developers Strength Training: IT Organizations Lab: Recent Incidents SDL Overview Attack Phases: Offensive Actions and Defensive Controls Secure Software Development Processes Shifting Left Actionable Items Moving Forward Lab: Design Study Review Asset Analysis Asset Analysis Process Types of Application-Related Assets Adding Risk Escalators Discovery and Recon Design Review Asset Inventory and Design Assets, Dataflows, and Trust Boundaries Risk Escalators in Designs Risk Mitigation Options

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 5 Days 30 CPD hours This course is intended for New users of BSM 9.0 -- 9.2,including:? IT Tools engineers? Database administrators? System administrators? Network administrators? Operations managers? Availability engineers Overview After completing this course, you should be able to:? Identify HP Business Service Management (BSM)deployment scenarios? Monitor application performance and availability fromthe end user perspective? Integrate HP SiteScope with the BSM environment? Monitor the real-time status of Key PerformanceIndicators (KPIs), view performance metrics, and workwith reports containing historical performance data? Configure and work with an IT model to build atopology of your system, populate the model withconfiguration items (CIs) and relationships, and use themodel to measure and manage critical businessprocesses? Create and analyze reports that present and organizespecific data your organization might need? Create and manage service level agreements (SLAs)representing your department contracts with serviceproviders, customers, and internal business units? Perform administrative tasks to enable user access,configure licenses, and enhance system performance? Work with the following applications: End UserManagement (EUM), Business Process Monitor (BPM),SiteScope/System Availability Manager (SAM), Run-Time Service Model (RTSM), BSM applications ? ServiceHealth (SH), MyBSM, Service Level Management (SLM). This entry-level, instructor-led classroom training offers technical personnel, who are new to HP Business Service Management (BSM) 9.0 ? 9.21, the opportunity to develop hands-on experience in applying the fundamental concepts, principles This entry-level, instructor-led classroom training offers technical personnel, who are new to HP Business Service Management (BSM) 9.0 ? 9.21, the opportunity to develop hands-on experience in applying the fundamental concepts, principles

Duration 5 Days 30 CPD hours This course is intended for This hands-on course is geared for experienced DBAs new to Oracle 19c, who can work in Linux and have basic experience with SQL scripting. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: How to use tools to access an Oracle Database Generate database creation scripts by using DBCA How to create a container database (CDB) by using the CREATE DATABASE command Learn about Startup and shut down Oracle databases Initialization parameter files and initialization parameters Tools that are used to administer Oracle Net Services How to use the Oracle Connection Manager Control utility to administer Oracle Connection Manager How to create a new PDB from the PDB seed. Logical and physical storage structures in an Oracle database Usage of Oracle Database features that save space Explanation of DML and undo data generation Learn about general architecture of Oracle Data Pump and SQL*Loader How to use SQL*Loader to load data from a non-Oracle database (or user files) Bonus Content / Time Permitting: Explanation of maintenance windows Bonus Content / Time Permitting: Employ basic monitoring procedures and manage performance Oracle 19C Database Administration I (Oracle DBA I) is a comprehensive, hands-on course provides concrete information on the design of an Oracle Database instance and database, allowing you to manage your database investment. In this class, you will learn how to create database storage structures that align with your requirements and business models. You will also learn how to create users and administer databases as well as harden the databases to meet your business requirements. This is the foundational course for learning about Oracle Database and it does not assume prior knowledge or Oracle technologies, however you should have incoming experience working with SQL, and be comfortable with Linux and working from the command line. This training is NOT Official Oracle University training. This is independent, adjustable content that aligns with current topics, skills and tools that participants need to excel in these areas. Introduction to Oracle Database Oracle Multitenant Container Database Oracle Database Instance Configurations Database Sharding Oracle Database Server Accessing an Oracle Database Oracle Database Tools Database Tool Choices SQL Developer Enterprise Manager Database Express Creating an Oracle Database by Using DBCA Planning the Database Choosing a Database Template Configuration Assistant Creating an Oracle Database by Using a SQL Command Creating a Container Database Enable Pluggable Database Starting Up and Shutting Down a Database Instance Starting the Oracle Database Instance Shutting Down an Oracle Database Instance Opening and Closing PDBs Managing Database Instances Investigating Initialization Parameter Files Viewing Initialization Parameters by Using SQL*Plus Modifying Initialization Parameters by Using SQL*Plus Viewing Diagnostic Information Oracle Net Services Overview Oracle Net Services Components Oracle Net Listener Configuring Naming Methods Configuring the Oracle Network to Access a Database Creating a Net Service Name for a PDB Configuring and Administering the Listener Exploring the Default Listener Creating a Second Listener Connecting to a Database Service Using the New Listener Configuring a Shared Server Architecture Configuring Shared Server Mode Configuring Clients to Use a Shared Server Configuring Oracle Connection Manager for Multiplexing and Access Control Oracle Connection Manager Processes Filtering Rules Session Multiplexing Creating PDBs Creating a New PDB from the PDB Seed Cloning Remote PDBs in Hot Mode Relocating PDBs Managing PDBs Renaming a PDB Setting Parameter Values for PDBs Database Storage Overview Logical and Physical Database Structures Tablespaces and Data Files Types of Segments Monitoring Tablespace Space Usage Creating and Managing Tablespaces Viewing Tablespace Information Creating a Tablespace Managing Temporary and Permanent Tablespaces Improving Space Usage Managing Space in Tablespaces Using Compression Enabling the Resumable Space Allocation Feature Creating and Managing User Accounts Creating Common and Local Users Creating a Local User for an Application Exploring OS and Password File Authentication Configuring Privilege and Role Authorization Granting a Local Role (DBA) to PDBADMIN Using SQL*Developer to Create Local Roles Configuring User Resource Limits Using SQL*Developer to Create a Local Profile & Users Configuring a Default Role for a User Implementing Oracle Database Auditing Enabling Unified Auditing Creating Audit Users Creating an Audit Policy Introduction to Loading and Transporting Data General Architecture Oracle Data Pump SQL Loader Loading Data into a PDB from an External File Moving Data from One PDB to Another PDB Transporting a Tablespace Using External Tables to Load and Transport Data Querying External Tables Unloading External Tables Automated Maintenance Tasks Overview Automated Maintenance Tasks Maintenance Windows Predefined Maintenance Windows Bonus: Managing Tasks and Windows Enabling and Disabling Automated Maintenance Tasks Modifying the Duration of a Maintenance Window Bonus: Database Monitoring and Performance Tuning Overview Performance Planning Considerations Automatic Workload Repository (AWR) Advisory Framework Bonus: Monitoring Database Performance & Processes Server-Generated Alerts Setting Metric Thresholds Performance Monitoring Examining the Database Background Processes Bonus: Tuning Database Memory Viewing Memory Configurations Bonus: Analyzing SQL and Optimizing Access Paths Using the Optimizer Statistics Advisor

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT professionals who will be responsible for the support of guests and other virtual machines running in the z/VM environment. It assumes that these persons will have little or no experience in the z/VM environment. Additionally anyone responsible for installing, customizing, and maintaining Linux on System z. Overview Describe the process of running guests under z/VM Define virtual machines to z/VM and reload the directory Customize the CP component of the z/VM system Customize the TCP/IP files on z/VM Apply service to the z/VM system Install SUSE Linux on System z Install additional packages Describe zLinux system management process Describe zLinux backup and recovery procedures Manage and update zLinux network connectivity issues Implement the z/VM Performance Toolkit Prerequisite to z/VM and Linux Connectivity and Management (ZV100) Prerequisite to z/VM RACF and DirMaint Implementation (ZV200) Introduces system programmers to the tasks required to support a z/VM operating system; providing an overview of the processes required to install z/VM & perform the required tailoring steps to support guest operating system virtual machines & CMS users. z/VM and zLinux overview . Installation . Directory . CP system configuration . z/VM networking . VMSES/E . Installing SUSE Linux on System z . Installing additional packages . Network connectivity . System management . Backup and recovery . z/VM Performance Toolkit configuration .

Duration 4 Days 24 CPD hours This course is intended for System installers System integrators System administrators Network administrators Solutions designers Overview After completing this course, you should be able to: Explain transactional service activation and how it relates to business requirements Explain the benefits and uses of Cisco NSO Explain how Cisco NSO communicates with network devices Understand the NETCONF protocol and be able to read and write simple YANG models Install NSO and describe how NSO uses NETCONF and the Device Manager component Understand the difference between devices that are fully NETCONF capable and those that are less or not NETCONF capable Explain the YANG service model structure Describe how YANG is used with NSO, create and deploy a service, and explain NSO FASTMAP Design and manage services with YANG models Perform NSO configuration and basic troubleshooting, and describe the following NSO features: integration options, alarms and reporting, scalability and performance options, and available function packs Use logs to troubleshoot the Cisco NSO deployment and check NSO communication with network devices Explain the mapping logic of service parameters to device models and consequently to device configurations Describe the use of different integration options and APIs Explain the use of Reactive FASTMAP for manipulating and implementing advanced Network Functions Virtualization (NFV) components Describe the use of feature components and function packs Define and explain the European Telecommunications Standards Institute (ETSI) Open Source NFV Management and Orchestration (MANO) principles and solution Work with the alarm console, and understand the NSO alarm structure and how it conforms to modern network operations procedures The Cisco NSO Essentials for Programmers and Network Architects (NSO201) v. 4.0 course introduces you to Cisco© Network Services Orchestrator (NSO). You will learn to install Cisco NSO and use it to manage devices and create services based on YANG templates with XPath. This course provides an overview of NSO as a network automation solution, as well as introductions to NETCONF, YANG, and XPath. You will learn about managing devices and creating device templates, service management and service package creation, network element drivers, interfacing with other systems using APIs, configuring and troubleshooting system settings, managing alarms and reporting, configuring NSO for scalability and performance, and capabilities that can be added to Cisco NSO. Introduction to Cisco NSO Meeting Challenges with Orchestration Challenges of Network Management Challenges of Network Orchestration NSO Features and Benefits That Meet Challenges Standardized Approach What Is NSO? Logical Architecture Components What Does NSO Do? Orchestration Use Cases How Does NSO Work? Introduction to NETCONF and YANG Packages Mapping Logic Network Element Drivers (NEDs) Resources and Training Resources Training Get Started with Cisco NSO Installing Cisco NSO Setup Overview Cisco NSO Local Installation Installing NEDs Using NetSim NETCONF Overview Challenges of Network Management Introduction to NETCONF NETCONF Operation Device Manager Device Manager Overview Device Configuration Management Device Connection Management Templates and Groups Other Device Management Tools Service Manager Essentials YANG Overview Introduction to YANG Other Representations of YANG Data Types XPath Overview Basic YANG Statements Can You Spot the Error? Using Services Package Architecture Creating a Service Package Sample Service Configuration Service Template YANG Service Model Deploying a Service Model-to-Model Mapping Mapping Introduction Mapping Logic FASTMAP Template Processing Service Design and Cisco NSO Programmability Service Design Service Design Overview Top-Down Approach Bottom-Up Approach Device Configuration Service Model Service Management Service Management Tasks Service Lifecycle Management Guidelines NSO Programmability Introduction NSO Programmability Overview Python Service Skeleton Creating a Service YANG Model Creating a Service Template Template Processing with Python Cisco NSO Flexibility System Configuration and Troubleshooting System Configuration System Troubleshooting Integration Integration Options NETCONF Server Web Integration SNMP Agent Alarm Management and Reporting Alarm Management Reporting Scalability and Performance High Availability High-Availability Cluster Communications Clustering Layered Service Architecture Addressing Performance Limitations Components and Function Packs Function Packs NFV Orchestration Reactive FASTMAP

Duration 5 Days 30 CPD hours This course is intended for This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes. Overview Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each theses area affects an overall solution. Implement Azure Active Directory Overview of Azure Active Directory Users and Groups Domains and Custom Domains Azure AD Identity Protection Implement Conditional Access Configure Fraud Alerts for MFA Implement Bypass Options Configure Guest Users in Azure AD Configure Trusted IPs Manage Multiple Directories Implement and Manage Hybrid Identities Install and Configure Azure AD Connect Configure Password Sync and Password Writeback Configure Azure AD Connect Health Implement Virtual Networking Virtual Network Peering Implement VNet Peering Implement VMs for Windows and Linux Select Virtual Machine Size Configure High Availability Implement Azure Dedicated Hosts Deploy and Configure Scale Sets Configure Azure Disk Encryption Implement Load Balancing and Network Security Implement Azure Load Balancer Implement an Application Gateway Understand Web Application Firewall Implement Azure Firewall Implement Azure Front Door Implementing Azure Traffic Manager Implement Storage Accounts Storage Accounts Blob Storage Storage Security Managing Storage Accessing Blobs and Queues using AAD Implement NoSQL Databases Configure Storage Account Tables Select Appropriate CosmosDB APIs Implement Azure SQL Databases Configure Azure SQL Database Settings Implement Azure SQL Database Managed Instances High-Availability and Azure SQL Database In this module, you will learn how to Create an Azure SQL Database (single database) Create an Azure SQL Database Managed Instance Recommend high-availability architectural models used in Azure SQL Database Automate Deployment and Configuration of Resources Azure Resource Manager Templates Save a Template for a VM Evaluate Location of New Resources Configure a Virtual Hard Disk Template Deploy from a template Create and Execute an Automation Runbook Implement and Manage Azure Governance Create Management Groups, Subscriptions, and Resource Groups Overview of Role-Based Access Control (RBAC) Role-Based Access Control (RBAC) Roles Azure AD Access Reviews Implement and Configure an Azure Policy Azure Blueprints Manage Security for Applications Azure Key Vault Azure Managed Identity Manage Workloads in Azure Migrate Workloads using Azure Migrate VMware - Agentless Migration VMware - Agent-Based Migration Implement Azure Backup Azure to Azure Site Recovery Implement Azure Update Management Implement Container-Based Applications Azure Container Instances Configure Azure Kubernetes Service Implement an Application Infrastructure Create and Configure Azure App Service Create an App Service Web App for Containers Create and Configure an App Service Plan Configure Networking for an App Service Create and Manage Deployment Slots Implement Logic Apps Implement Azure Functions Implement Cloud Infrastructure Monitoring Azure Infrastructure Security Monitoring Azure Monitor Azure Workbooks Azure Alerts Log Analytics Network Watcher Azure Service Health Monitor Azure Costs Azure Application Insights Unified Monitoring in Azure

Duration 3 Days 18 CPD hours This course is intended for Built for IT Professionals working with Citrix SD-WAN, with little or no previous SD-WAN experience. Potential students include networking administrators, engineers, and architects interested in learning how to deploy or manage Citrix SD-WAN. Overview Initial configuration and management of Citrix SD-WAN Deployment options available Citrix SD-WAN Orchestrator utilities and considerations Citrix SD-WAN administration, including monitoring and reporting In this three-day course, you will learn how Citrix SD-WAN can simplify branch networking for your organization. You?ll walk away understanding how to configure and manage SD-WAN, including the SD-WAN architecture, deployment options, provisioning, and how to use Citrix SD-WAN Orchestrator in your environment.Additional topics include: branch office deployment, SD-WAN monitoring, reporting, and diagnostics. Citrix SD-WAN Overview Citrix SD-WAN Use Cases Citrix SD-WAN Technical Overview Citrix SD-WAN Management Citrix SD-WAN Architecture Citrix SD-WAN Architecture Citrix SD-WAN Hardware Bypass Citrix SD-WAN Packet Processing Citrix SD-WAN Deployment Citrix SD-WAN Deployment Modes Citrix SD-WAN Branch Office Deployment Citrix SD-WAN Deployment Considerations Citrix SD-WAN Configuration Citrix SD-WAN Configuration Process Citrix SD-WAN Provisioning Citrix SD-WAN Orchestrator Citrix SD-WAN Orchestrator Overview Citrix SD-WAN Orchestrator Customer Onboarding Citrix SD-WAN Orchestrator Configuration Citrix SD-WAN Orchestrator Reporting Citrix SD-WAN Administration Citrix SD-WAN Administrative Tasks Citrix SD-WAN Monitoring Citrix SD-WAN Reporting Citrix SD-WAN Diagnostics