7220 CLO courses delivered Online

Hyper V for engineers training course description This five day course will provide you with the knowledge and skills required to design and implement Microsoft Server Virtualization solutions using Hyper-V and System Center. Please note that due to the nature of the lab / environment build delegates may be required to work in pairs. What will you learn Install and configure the Hyper-V server role. Create virtual machines, create and manage virtual hard disks and work with snapshots. Create and configure virtual machine networks in a Hyper-V environment. Provide high availability for Hyper-V environment by implementing failover clustering. Use System Center 2012 R2 Virtual Machine Manager. Create and manage virtual machines by using VMM. Hyper V for engineers training course details Who will benefit: Anyone designing, implementing, managing and maintaining a virtualization infrastructure. Prerequisites: Supporting Windows server 2012 Duration 5 days Hyper V for engineers training course contents Evaluating the environment for virtualization Overview of Microsoft virtualization, Overview of system center 2012 R2 components, Evaluating current environment for virtualization, Extending virtualization to the cloud environment. Selecting the appropriate virtualization method, Assessing the environment by using MAP. Installing and configuring the Hyper-V role Installing the Hyper-V role, Managing Hyper-V, Configuring Hyper-V settings, Hyper-V Host storage and networking, Installing the Hyper-V server role, Configuring Hyper-V settings, Accessing and managing Hyper-V remotely. Creating and managing virtual hard disks, virtual machines, and checkpoints Creating and configuring virtual hard disks, Creating and configuring virtual machines, Installing and Importing virtual machines, Managing virtual machine checkpoints, Monitoring Hyper-V, Designing virtual machines for server roles and services, Creating and managing virtual hard disks, Creating and managing virtual machines, Importing virtual machines and working with checkpoints monitoring Hyper-V. Creating and configuring virtual machine networks Creating and using Hyper-V virtual switches, Advanced Hyper-V networking features, Configuring and using Hyper-V network virtualization, Creating and using Windows Server 2012 R2 Hyper-V virtual switches, Configuring and using advanced virtual switch features, Configuring Hyper-V Network virtualization. Virtual machine movement and Hyper-V replica Providing high availability and redundancy for virtualization, Implementing virtual machine movement, Implementing and managing Hyper-V replica, Moving Hyper-V storage and virtual machines, Configuring and managing Hyper-V replica. Implementing failover clustering with Hyper-V Overview of failover clustering, Configuring and using shared storage, Implementing and managing failover clustering with Hyper-V, Creating a Hyper-V failover cluster, Managing a Hyper-V failover cluster. Installing and configuring System Center 2012 R2 virtual machine manager Integrating system center and server virtualization, Overview of VMM, Installing VMM, Adding hosts and managing host groups, Installing and configuring System Center 2012 R2 VMM, Managing hosts and host groups. Managing the Networking and storage infrastructure in System Center 2012 R2 VMM Managing networking infrastructure managing storage infrastructure, Managing infrastructure updates, Implementing a network infrastructure, Implementing a storage infrastructure, Managing infrastructure updates. Creating and managing VM using MS System Center 2012 R2 VMM VMM tasks in VMM, Creating, cloning, and converting VMs, Overview of VM updating, Creating a VM and modifying it's properties, Cloning a VM. Configuring and managing the MS System Center 2012 R2 VMM library and library objects Overview of the VMM library, Working with profiles and templates, Configuring and managing the VMM library, Creating and managing profiles and templates. Managing clouds in MS System Center 2012 R2 VMM Introduction to clouds, Creating and managing a cloud, Working with user roles in VMM, Creating a cloud, Working with user roles, Deploying VMs to a private cloud. Managing services in MS System Center 2012 R2 VMM and app controller Understanding services in VMM, Creating and managing services in VMM, Using app controller Creating a service template, Deploying a service and updating a service template, Configuring app controller, Deploying a VM in app controller. Protecting and monitoring virtualization infrastructure Overview of backup and restore options for VM, Protecting virtualization Infrastructure using DPM, Using Operations Manager for monitoring and reporting, Integrating VMM with Operations Manager, Implementing MS System Center 2012 R2 Operations Manager agents, Configuring Operations Manager monitoring components, Configuring Operations Manager integration with System Center 2012 R2 VMM.

Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

UNIX Virtualization and High Availability course description This course covers administering UNIX enterprise-wide with an emphasis on virtualization and high availability. What will you learn Manage Virtual Machines. Manage containers. Manage HA clusters. Manage HA cluster storage. UNIX Virtualization and High Availability course details Who will benefit: Enterprise-level UNIX professional. UNIX professionals working with virtualization and/or High availability. Prerequisites: Linux network administration 2 (LPIC-2) Duration 5 days UNIX Virtualization and High Availability course contents VIRTUALIZATION Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. Containers Containers versus VMs, Docker, Kubernetes. Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). HIGH AVAILABILITY CLUSTER STORAGE DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

Linux virtualization and HA training course description The LPIC-3 certification is the culmination of LPI's multi -level professional certification program. LPIC-3 is designed for the enterprise-level Linux professional and represents the highest level of professional, distribution neutral Linux certification within the industry. LPIC-3 304 covers administering Linux enterprise-wide with an emphasis on virtualization and high availability. At SNT we have enhanced the contents of the course by covering containers. What will you learn Manage Virtual Machines. Manage containers. Manage HA clusters. Manage HA cluster storage. Linux virtualization and HA training course details Who will benefit: Linux professionals working with virtualization and/or High availability. Prerequisites: Linux network administration 2 (LPIC-2) Duration 5 days Linux virtualization and HA training course contents VIRTUALIZATION Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. Containers Containers versus VMs, Docker, Kubernetes. Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). HIGH AVAILABILITY CLUSTER STORAGE DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

VMware training course description This five-day VMware course features intensive handson training that focuses on installing, configuring, and managing VMware vSphere 8, which includes VMware ESXi 8 and VMware vCenter 8. This course prepares you to administer a vSphere infrastructure for an organization of any size. This course is the foundation for most VMware technologies in the software-defined data center. What will you learn Install and configure ESXi hosts. Deploy and configure vCenter. Create virtual networks using standard and distributed switches. Configure VMs, templates, clones, and snapshots. Manage virtual machine resource allocation. Migrate virtual machines with vSphere vMotion and vSphere Storage vMotion. VMware training course details Who will benefit: Systems administrators and engineers. Prerequisites: Introduction to data communications & networking. Windows/Linux Administration. Duration 5 days VMware training course contents Course Introduction Introductions and course logistics. Course objectives vSphere and Virtualization Overview Explain basic virtualization concepts, Describe how vSphere fits in the software-defined data center and the cloud infrastructure, Recognize the user interfaces for accessing vSphere, Explain how vSphere interacts with CPUs, memory, networks, storage, and GPUs Installing and Configuring ESXi Install an ESXi host, Recognize ESXi user account best practices, Configure the ESXi host settings using the DCUI and VMware Host Client Deploying and Configuring vCenter Recognize ESXi hosts communication with vCenter, Deploy vCenter Server Appliance, Configure vCenter settings, Use the vSphere Client to add and manage license keys, Create and organize vCenter inventory objects, Recognize the rules for applying vCenter permissions, View vCenter logs and events Configuring vSphere Networking Configure and view standard switch configurations, Configure and view distributed switch configurations, Recognize the difference between standard switches and distributed switches, Explain how to set networking policies on standard and distributed switches Configuring vSphere Storage Recognize vSphere storage technologies, Identify types of vSphere datastores, Describe Fibre Channel components and addressing, Describe iSCSI components and addressing, Configure iSCSI storage on ESXi, Create and manage VMFS datastores, Configure and manage NFS datastores Deploying Virtual Machines Create and provision VMs, Explain the importance of VMware Tools, Identify the files that make up a VM Recognize the components of a VM, Navigate the vSphere, Client and examine VM settings and options, Modify VMs by dynamically increasing resources, Create VM templates and deploy VMs from them, Clone VMs, Create customization specifications for guest operating systems, Create local, published, and subscribed content libraries, Deploy VMs from content libraries, Manage multiple versions of VM templates in content libraries Managing Virtual Machines Recognize the types of VM migrations that you can perform within a vCenter instance and across vCenter instances, Migrate VMs using vSphere vMotion, Describe the role of Enhanced vMotion Compatibility in migrations, Migrate VMs using vSphere Storage vMotion, Take a snapshot of a VM, Manage, consolidate, and delete snapshots, Describe CPU and memory concepts in relation to a virtualized environment, Describe how VMs compete for resources Define CPU and memory shares, reservations, and limits Deploying and Configuring vSphere Clusters Create a vSphere cluster enabled for vSphere DRS and vSphere HA, View information about a vSphere cluster Explain how vSphere DRS determines VM placement on hosts in the cluster, Recognize use cases for vSphere DRS settings, Monitor a vSphere DRS cluster Describe how vSphere HA responds to various types of failures, Identify options for configuring network redundancy in a vSphere HA cluster, Recognize vSphere HA design considerations, Recognize the use cases for various vSphere HA settings, Configure a vSphere HA cluster, Recognize when to use vSphere Fault Tolerance Managing the vSphere Lifecycle Enable vSphere Lifecycle Manager in a vSphere cluster, Describe features of the vCenter Update Planner, Run vCenter upgrade prechecks and interoperability reports, Recognize features of vSphere Lifecycle Manager, Distinguish between managing hosts using baselines and managing hosts using images, Describe how to update hosts using baselines, Describe ESXi images, Validate ESXi host compliance against a cluster image and update ESXi hosts, Update ESXi hosts using vSphere Lifecycle Manager, Describe vSphere Lifecycle Manager automatic recommendations, Use vSphere Lifecycle Manager to upgrade VMware Tools and VM hardware

About this Training Course  The prospect maturation process, from a lead to a drillable prospect, is at the heart of the exploration business. This 5 full day course will cover all aspects of the prospect maturation process: play understanding in the context of regional geological understanding, detailed prospect evaluation; realistic risk & volume assessment consistent with the play understanding and prospect details, and an introduction to exploration economics. Throughout the course, there is a strong focus on pragmatic (geo)logical approach for assessing those aspects that are input parameters for a meaningful assessment of prospect risks and volumes, with emphasis on a balanced integration of contributions from different sub-surface disciplines. Many examples from basins from around the world are used to illustrate how traps, reservoirs, seals and charge occur in different basin settings. Specifics topics that will be discussed include the following: The statistical fundamentals for risk and volume assessment will be presented, with practical exercises for understanding the results of a risk & volume assessment as they are displayed in expectation curves. The difference between risk and uncertainty. A full discussion of the essential requirements for a working petroleum system: Trap, reservoir, seal and charge. Examples of how traps, reservoirs, seals and charge work in different basin types around the globe and in Australian basins. Exercises and guidelines for estimating uncertainties for prospect parameters, including advice for deciding which distribution type to use, and how to constrain those distributions for meaningful uncertainty ranges (setting minimum most likely and maximum values). Particular emphasis will be given to estimating hydrocarbon column lengths with their associated uncertainties in undrilled prospects. Prospects and plays: The value of play maps and how these should be used for assessment of prospect risks and for ranking of prospects within a play. Calculating volume ranges for prospects. Calculating volumes for groups of prospects; how to add risked prospect volumes for a statistically correct representation of the volume promise of a portfolio of prospects. Geophysical evidence: Incorporating geophysical evidence (DHIs) consistently and realistically in a risk assessment. An understandable and geology-based workflow, consistent with Bayes theorem, will be presented. Exploration economics. Training Objectives What this course will cover in 5 days: This course describes the various aspects that need to be considered in the prospect maturation process, including: Play development in the context of a sound understanding of the regional geology Detailed prospect evaluation and understanding of the critical aspects of traps, reservoirs, seals and charge Examples from plays and prospects in different basin settings from around the globe Realistic and pragmatic risk and volume assessment, based on the geological understanding of plays and prospects An introduction to exploration economics Examples of plays, oil and gas fields and prospects from basins from around the world, including the Far East, will be given. Target Audience This course is designed primarily for Geoscientists in exploration who would like to improve their expertise of the prospect maturation process and risk and volume assessment. The course has proven to be of value for explorers in the early phase of their career, seasoned explorers and team leaders. It will also benefit staff from disciplines working closely with exploration staff including Prospect Portfolio Analysts, Petrophysicists, Geophysicists and Reservoir Engineers. Course Level Intermediate Training Methods At the end of the course, the participants will have a good understanding of the essentials for realistic risk and volume assessments of exploration prospects. The course should allow participants to produce well-considered and realistic assessments for prospects they may be working on, and to understand and constructively challenge risk and volume assessments of colleagues and/ or partners/ competitors. Each topic is introduced by a lecture, and learning is re-inforced by practical exercises and discussions. Hand-out materials in paper and/or electronic format will be provided. Time will be made available to discuss aspects of prospects that may be brought in by course participants. Trainer Your expert course leader has a PhD in Geology from the University of Utrecht. He worked for 31 years (1979 -2010) with Shell as an exploration geologist in a variety of functions across the globe. As Principle Technical Expert, he was responsible for ensuring that Risk & Volume assessments were carried out consistently and correctly in all of Shell's exploration units. In this capacity, he led and participated in countless prospect review sessions and developed and conducted a successful in-house course on Risks & Volume assessment. As manager of the Exploration Excellence Team, he performed in depth analysis of basins and plays and provided advice on exploration opportunities to senior management. Together with his team, he visited most of Shell's exploration offices, working hands-on with Shell's local exploration teams to generate new play and prospect ideas and to suggest evaluation techniques and technologies to apply. In 2010, he was appointed as extraordinary professor Regional and Petroleum Geology at the VU university of Amsterdam and in 2012 also at the University of Utrecht. He was visiting professor at the University of Malaya (Malaysia). Through his own consultancy, as of 2010, he provides advice on exploration activities to several companies and is regularly invited to carry out technical reviews. Activities cover all continents and include Portfolio Reviews, Prospect assessment, Play-based Exploration, and Geothermal activities. He conducts courses on several topics including Risk & Volume Assessment, Prospect Maturation, Basin Analysis, Play-based Exploration, Trap & Seal Analysis, Petroleum Geology for Non-geologists. Some of his recent publications include: De Jager, J. & van Winden, M. (2020): Play-Based Exploration of the petroleum potential of the Tremp-Graus, Aínsa and eastern Jaca Sub-basins in the southern Pyrenees. Invited contribution for Digital Geology, EAGE special publication (eds: Grötsch, J. & Pöppelreiter, M.) De Jager, J. (2020). Concepts of Conventional Petroleum Systems. Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N.) De Jager, J. (2021): Handbook Risk & Volume Assessment. Self-published De Jager, J., Van Ojik, K & Smit, R. (2023 - in preparation): Geological Development of The Netherlands. In: Geology of The Netherlands (eds: Ten Veen, J., Vis, G-J., De Jager, J. @ Wong, T.) POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Complete C# programming training course description This training course teaches developers the programming skills that are required for developers to create Windows applications using the C# language. Students review the basics of C# program structure, language syntax, and implementation details, and then consolidate their knowledge throughout the week as they build an application that incorporates several features of the .NET Framework. What will you learn Use the syntax and features of C#. Create and call methods, catch and handle exceptions, and describe the monitoring requirements of large-scale applications. Implement a typical desktop application. Create class, define and implement interfaces, and create and generic collections. Read and write data to/from files. Build a GUI using XAML. Complete C# programming training course details Who will benefit: Programmers wishing to learn C#. Prerequisites: Developers attending this course should already have gained some limited experience using C# to complete basic programming tasks. Duration 5 days Complete C# programming training course contents Review of C# Syntax Overview of Writing Applications using C#, Datatypes, Operators, and Expressions. C# Programming Language Constructs. Hands on Developing the Class Enrolment Application. Methods, exceptions and monitoring apps Creating and Invoking Methods. Creating Overloaded Methods and Using Optional and Output Parameters. Handling Exceptions. Monitoring Applications. Hands on Extending the Class Enrolment Application Functionality. Developing a graphical application Implementing Structs and Enums. Organizing Data into Collections. Handling Events. Hands on Writing the Grades Prototype Application. Classes and Type-safe collections Creating Classes. Defining and Implementing Interfaces. Implementing Type-safe Collections. Hands on Adding Data Validation and Type-safety to the Grades Application. Class hierarchy using Inheritance Class hierarchies. Extending .NET framework classes. Creating generic types. Hands on Refactoring common functionality into the User Class. Reading and writing local data Reading and Writing Files. Serializing and Deserializing Data. Performing I/O Using Streams. Hands on Generating the Grades Report. Accessing a Database Creating and using entity data models. Querying and updating data by using LINQ. Hands on Retrieving and modifying grade data. Accessing remote data Accessing data across the web and in the cloud. Hands on Modifying grade data in the Cloud. Designing the UI for a graphical applicatione Using XAML to design a User Interface. Binding controls to data. Styling a UI. Hands on Customizing Student Photographs and Styling the Application. Improving performance and responsiveness Implementing Multitasking by using tasks and Lambda Expressions. Performing operations asynchronously. Synchronizing concurrent data access. Hands on Improving the responsiveness and performance of the application. Integrating with unmanaged code Creating and using dynamic objects. Managing the Lifetime of objects and controlling unmanaged resources. Hands on Upgrading the grades report. Creating reusable types and assemblies Examining Object Metadata. Creating and Using Custom Attributes. Generating Managed Code. Versioning, Signing and Deploying Assemblies. Hands on Specifying the Data to Include in the Grades Report. Encrypting and Decrypting Data Implementing Symmetric Encryption. Implementing Asymmetric Encryption. Hands on Encrypting and Decrypting Grades Reports.

  This training course is designed to help participants acquire the knowledge and skills needed to support an organization in effectively planning, implementing, managing, monitoring, and maintaining a cloud security program based on ISO/IEC 27017 and ISO/IEC 27018. It provides a comprehensive elaboration of cloud computing concepts and principles, cloud computing security risk management, cloud-specific controls, cloud security incident management, and cloud security testing. About This Course   Learning objectives   Gain a comprehensive understanding of the concepts, approaches, methods, and techniques used for the implementation and effective management of a cloud security program  Acknowledge the correlation between ISO/IEC 27017, ISO/IEC 27018, and other standards and regulatory frameworks Gain the ability to interpret the guidelines of ISO/IEC 27017 and ISO/IEC 27018 in the specific context of an organization Develop the necessary knowledge and competence to support an organization in effectively planning, implementing, managing, monitoring, and maintaining a cloud security program Acquire the practical knowledge to advise an organization in managing a cloud security program by following best practices Course Agenda   Day 1: Introduction to ISO/IEC 27017 and ISO/IEC 27018 and the initiation of a cloud security program Day 2: Cloud computing security risk management and cloud-specific controls Day 3: Documented information management and cloud security awareness and training Day 4: Cloud security incident management, testing, monitoring, and continual improvement; the examination Additional Information   Certification fees are included in the exam price. An attendance record worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course. In case candidates fail the exam, they can retake it within 12 months of the initial attempt for free. Accreditation Prerequisites   The main requirement for participating in this training course is having a fundamental understanding of ISO/IEC 27017 and ISO/IEC 27018 and a general knowledge of cloud computing concepts. Who Should Attend?   Cloud security and information security professionals seeking to manage a cloud security program Managers or consultants seeking to master cloud security best practices Individuals responsible for maintaining and managing a cloud security program Technical experts seeking to enhance their cloud security knowledge Cloud security expert advisors What's Included?   Delegates will be provided with; Course Slide deck Participant Guide Exam fees Our Guarantee   We are an Accredited Training Provider of IECB. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam. Assessment   The Certified Lead Cloud Security Manager exam meets the requirements of the National Accreditation Service's Examination and Certification Program (ECP). It covers the following competency domains:   Domain 1: Fundamental principles and concepts of cloud computing Domain 2: Information security policy for cloud computing and documented information management Domain 3: Cloud computing security risk management Domain 4: Cloud-specific controls based on ISO/IEC 27017 and ISO/IEC 27018 and best practices Domain 5: Cloud security awareness, training, roles, and responsibilities Domain 6: Cloud security incident management Domain 7: Cloud security testing, monitoring, and continual improvement   All delegates attending an official training course will be offered the opportunity to sit the associated examination. To pass the examination, a passing score of 70% must be obtained by answering 12 essay type questions covering the scope of the course materials. Successful examination candidates will be issued with a Certificate confirming a passing grade along with the relevant CPD certificate.  Provided by   This course is Accredited by NACS and Administered by the IECB

Lean Six Sigma Black Belt Certification Program: Virtual In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Learners will be introduced to the design, installation, commissioning, and maintenance of CCTV systems.