8379 CLO courses

Duration 4 Days 24 CPD hours This course is intended for This four-day course is intended for Windows Server Hybrid Administrators who have experience working with Windows Server and want to extend the capabilities of their on-premises environments by combining on-premises and hybrid technologies. Windows Server Hybrid Administrators who already implement and manage on-premises core technologies want to secure and protect their environments, migrate virtual and physical workloads to Azure Iaas, enable a highly available, fully redundant environment, and perform monitoring and troubleshooting. This course teaches IT Professionals to configure advanced Windows Server services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to leverage the hybrid capabilities of Azure, how to migrate virtual and physical server workloads to Azure IaaS, and how to secure Azure VMs running Windows Server. The course also teaches IT Professionals how to perform tasks related to high availability, troubleshooting, and disaster recovery. The course highlights administrative tools and technologies including Windows Admin Center, PowerShell, Azure Arc, Azure Automation Update Management, Microsoft Defender for Identity, Azure Security Center, Azure Migrate, and Azure Monitor. Prerequisites An understanding of the following concepts as related to Windows Server technologies: High availability and disaster recovery Automation Monitoring Troubleshooting 1 - Secure Windows Server user accounts Configure user account rights Protect user accounts with the Protected Users group Describe Windows Defender Credential Guard Block NTLM authentication Locate problematic accounts 2 - Hardening Windows Server Describe Local Password Administrator Solution Configure Privileged Access Workstations Secure domain controllers Analyze security configuration with Security Compliance Toolkit Secure SMB traffic 3 - Windows Server update management Explore Windows Update Outline Windows Server Update Services server deployment options Define Windows Server Update Services update management process Describe the process of Update Management 4 - Secure Windows Server DNS Implement split-horizon DNS Create DNS policies Implement DNS policies Secure Windows Server DNS Implement DNSSEC 5 - Implement Windows Server IaaS VM network security Implement network security groups and Windows IaaS VMs Implement adaptive network hardening Implement Azure Firewall and Windows IaaS VMs Implement Windows firewall with Windows Server IaaS VMs Choose the appropriate filtering solution Deploy and configure Azure firewall using the Azure portal Capture network traffic with network watcher Log network traffic to and from a VM using the Azure portal 6 - Audit the security of Windows Server IaaS Virtual Machines Describe Azure Security Center Enable Azure Security Center in hybrid environments Implement and assess security policies Protect your resources with Azure Security Center Implement Azure Sentinel 7 - Manage Azure updates Describe update management Enable update management Deploy updates View update assessments Manage updates for your Azure Virtual Machines 8 - Create and implement application allowlists with adaptive application control Describe adaptive application control Implement adaptive application control policies 9 - Configure BitLocker disk encryption for Windows IaaS Virtual Machines Describe Azure Disk Encryption and server-side encryption Configure Key Vault for Azure Disk Encryption Encrypt Azure IaaS Virtual Machine hard disks Back up and recover data from encrypted disks Create and encrypt a Windows Virtual Machine 10 - Implement change tracking and file integrity monitoring for Windows IaaS VMs Implement Change Tracking and Inventory Manage Change Tracking and Inventory Manage tracked files Implement File Integrity Monitoring Select and monitor entities Use File Integrity Monitoring 11 - Introduction to Cluster Shared Volumes Determine the functionality of Cluster Shared Volumes Explore the architecture and components of Cluster Shared Volumes Implement Cluster Shared Volumes 12 - Implement Windows Server failover clustering Define Windows Server failover clustering Plan Windows Server failover clustering Implement Windows Server failover clustering Manage Windows Server failover clustering Implement stretch clusters Define cluster sets 13 - Implement high availability of Windows Server VMs Select high-availability options for Hyper-V Consider network load balancing for Hyper-V VMs Implement Hyper-V VM live migration Implement Hyper-V VMs storage migration 14 - Implement Windows Server File Server high availability Explore the Windows Server File Server high-availability options Define Cluster Shared Volumes Implement Scale-Out File Server Implement Storage Replica 15 - Implement scale and high availability with Windows Server VM Describe virtual machine scale sets Implement scaling Implement load-balancing VMs Create a virtual machine scale set in the Azure portal Describe Azure Site Recovery Implement Azure Site Recovery 16 - Implement Hyper-V Replica Define Hyper-V Replica Plan for Hyper-V Replica Configure and implement Hyper-V Replica Define extended replication Define Azure Site Recovery Implement Site Recovery from on-premises site to Azure Implement Site Recovery from on-premises site to on-premises site 17 - Protect your on-premises infrastructure from disasters with Azure Site Recovery Azure Site Recovery overview Workloads supported for protection with Azure Site Recovery Run a disaster recovery drill Failover and failback 18 - Implement hybrid backup and recovery with Windows Server IaaS Describe Azure Backup Implement recovery vaults Implement Azure Backup policies Recover Windows IaaS Virtual Machines Perform file and folder recovery Perform backup and restore of on-premises workloads Manage Azure Virtual Machine backups with Azure Backup service 19 - Protect your Azure infrastructure with Azure Site Recovery What is Azure Site Recovery Prepare for disaster recovery with Azure Site Recovery Run a disaster recovery drill Failover and failback using Azure Site Recovery 20 - Protect your virtual machines by using Azure Backup Azure Backup features and scenarios Back up an Azure virtual machine by using Azure Backup Restore virtual machine data 21 - Active Directory Domain Services migration Examine upgrade vs. migration Upgrade a previous version of Active Directory Domain Services to Windows Server 2022 Migrate to Active Directory Domain Services in Windows Server 2022 from a previous version Explore the Active Directory Migration Tool 22 - Migrate file server workloads using Storage Migration Service Storage Migration Service overview and usage scenarios Storage migration requirements Migrate a server with Storage migration Evaluate storage migration considerations 23 - Migrate Windows Server roles Describe the Windows Server Migration Tools Install the Migration Tools Migrate roles using the Migration Tools 24 - Migrate on-premises Windows Server instances to Azure IaaS virtual machines Plan your migration Describe Azure Migrate Perform server assessment Assess physical servers with Azure Migrate Migrate Windows Server workloads by using Azure Migrate 25 - Upgrade and migrate Windows Server IaaS virtual machines Describe Azure Migrate Migrate Windows Server workloads by using Azure Migrate Describe storage migration Migrate file servers by using Storage Migration Service 26 - Containerize and migrate ASP.NET applications to Azure App Service Azure Migrate App Containerization overview 27 - Monitor Windows Server performance Use Performance Monitor to identify performance problems Use Resource Monitor to review current resource usage Review reliability with Reliability Monitor Implement a performance monitoring methodology Use Data Collector Sets to analyze server performance Monitor network infrastructure services Monitor virtual machines running Windows Server Monitor performance with Windows Admin Center Use System Insights to help predict future capacity issues Optimize the performance of Windows Server 28 - Manage and monitor Windows Server event logs Describe Windows Server event logs Use Windows Admin Center to review logs Use Server Manager to review logs Use custom views Implement event log subscriptions 29 - Implement Windows Server auditing and diagnostics Describe basic auditing categories Describe advanced categories Log user access Enable setup and boot event collection 30 - Troubleshoot Active Directory Recover objects from the AD recycle bin Recover the AD DS database Recover SYSVOL Troubleshoot AD DS replication Troubleshoot hybrid authentication issues 31 - Monitor Windows Server IaaS Virtual Machines and hybrid instances Enable Azure Monitor for Virtual Machines Monitor an Azure Virtual Machine with Azure Monitor Enable Azure Monitor in hybrid scenarios Collect data from a Windows computer in a hybrid environment Integrate Azure Monitor with Microsoft Operations Manager 32 - Monitor your Azure virtual machines with Azure Monitor Monitoring for Azure VMs Monitor VM host data Use Metrics Explorer to view detailed host metrics Collect client performance counters by using VM insights Collect VM client event logs 33 - Troubleshoot on-premises and hybrid networking Diagnose DHCP proble

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In this course we deepen participants understanding of systemic racism and the spectrum of privilege. It challenges the participants to examine their behaviours and take close looks at some of the views they have held since a very young age, e.g. this area is a “bad” area, because it has a high proportion of black/brown people living in it, or that young black men in tracksuits are “thugs”. We think about where these messages come from and how people are indoctrinated by the media. Course Category Inclusion Team Building Leadership Emotional needs Description In this course we deepen participants understanding of systemic racism and the spectrum of privilege. It challenges the participants to examine their behaviours and take close looks at some of the views they have held since a very young age, e.g. this area is a “bad” area, because it has a high proportion of black/brown people living in it, or that young black men in tracksuits are “thugs”. We think about where these messages come from and how people are indoctrinated by the media.  We explore the reasons why white people are so defensive when it comes to talking about race. We discuss having racial biases and the implications of them, such as unconsciously insulting people around us in the workplace. When we become aware of how our behaviours can affect people, we then look for solutions.  The course is designed for groups of professionals to come together as a team to try and take responsibility for the racism that goes on in their workplace – empowering the leadership to have difficult conversations with team members and create a paradigm shift across the entire organisation.  Please come with an open mind, and you might be surprised at what you find out. We are striving for a world where racism is an open conversation and not a topic that we shy away from.  Testimonials “That was a really insightful session and thought provoking. I would love to attend more sessions on racism. Thank you for the engaging questions and delivery” “Lots of things to reflect on!” Learning Objectives Participants will: Confront their own racism and unconscious biases Become aware of the ways they treat people differently based on race Think about practical changes they can make in their workplaces Who Is It For? Leadership teams seeking guidance and reflection Educators who want to get it right People who have had not had much contact with people outside their own race People who believe they are “not racist” Course Content Background – brief history of systemic racism Racism as a binary – the problem with thinking only “bad” people can be racist Trust – how do we feel around people we don’t trust? Difference – how do we act when we feel different? What do Good Manners look like around people of different cultures? What does Good Allyship look like in the workplace? Why don’t we talk about race? What does your race mean to you? Examining our privilege – activity Interracial friendship video Visioning – what does the ideal workplace look like? Setting Actions – what achievable actions can we set to bring us closer to our dream future?

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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 post training support and fees applicable Accreditions And Affliations

Duration 1 Days 6 CPD hours This course is intended for Sales Legal Marketing Business analysts Project managers AWS Academy students Other IT-related professionals Overview Summarize the working definition of AWS Differentiate between on-premises, hybrid-cloud, and all-in cloud Describe the basic global infrastructure of the AWS Cloud Explain the six benefits of the AWS Cloud Describe and provide an example of the core AWS services, including compute, network, databases, and storage Identify an appropriate solution using AWS Cloud services with various use cases Describe the AWS Well-Architected Framework Explain the shared responsibility model Describe the core security services within the AWS Cloud Describe the basics of AWS Cloud migration Articulate the financial benefits of the AWS Cloud for an organization?s cost management Define the core billing, account management, and pricing models Explain how to use pricing tools to make cost-effective choices for AWS services This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam. Prerequisites General IT technical knowledge, General IT business knowledge 1 - Introduction to Amazon Web Services Summarize the benefits of AWS Describe differences between on-demand delivery and cloud deployments Summarize the pay-as-you-go pricing model 2 - Compute in the Cloud Describe the benefits of Amazon Elastic Compute Cloud (Amazon EC2) at a basic level Identify the different Amazon EC2 instance types Differentiate between the various billing options for Amazon EC2 Describe the benefits of Amazon EC2 Auto Scaling Summarize the benefits of Elastic Load Balancing Give an example of the uses for Elastic Load Balancing Summarize the differences between Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Queue Services (Amazon SQS) Summarize additional AWS compute options 3 - Global Infrastructure and Reliability Summarize the benefits of the AWS Global Infrastructure Describe the basic concept of Availability Zones Describe the benefits of Amazon CloudFront and Edge locations Compare different methods for provisioning AWS services 4 - Networking Describe the basic concepts of networking Describe the difference between public and private networking resources Explain a virtual private gateway using a real life scenario Explain a virtual private network (VPN) using a real life scenario Describe the benefit of AWS Direct Connect Describe the benefit of hybrid deployments Describe the layers of security used in an IT strategy Describe which services are used to interact with the AWS global network 5 - Storage and Databases Summarize the basic concept of storage and databases Describe benefits of Amazon Elastic Block Store (Amazon EBS) Describe benefits of Amazon Simple Storage Service (Amazon S3) Describe the benefits of Amazon Elastic File System (Amazon EFS) Summarize various storage solutions Describe the benefits of Amazon Relational Database Service (Amazon RDS) Describe the benefits of Amazon DynamoDB Summarize various database services 6 - Security Explain the benefits of the shared responsibility model Describe multi-factor authentication (MFA) Differentiate between the AWS Identity and Access Management (IAM) security levels Describe security policies at a basic level Explain the benefits of AWS Organizations Summarize the benefits of compliance with AWS Explain primary AWS security services at a basic level 7 - Monitoring and Analytics Summarize approaches to monitoring your AWS environment Describe the benefits of Amazon CloudWatch Describe the benefits of AWS CloudTrail Describe the benefits of AWS Trusted Advisor 8 - Pricing and Support Understand AWS pricing and support models Describe the AWS Free Tier Describe key benefits of AWS Organizations and consolidated billing Explain the benefits of AWS Budgets Explain the benefits of AWS Cost Explorer Explain the primary benefits of the AWS Pricing Calculator Distinguish between the various AWS Support Plans Describe the benefits of AWS Marketplace 9 - Migration and Innovation Understand migration and innovation in the AWS Cloud Summarize the AWS Cloud Adoption Framework (AWS CAF) Summarize six key factors of a cloud migration strategy Describe the benefits of various AWS data migration solutions, such as AWS Snowcone, AWS Snowball, and AWS Snowmobile Summarize the broad scope of innovative solutions that AWS offers Summarize the five pillars of the AWS Well-Architected Framewor 10 - AWS Certified Cloud Practitioner Basics Determine resources for preparing for the AWS Certified Cloud Practitioner examination Describe benefits of becoming AWS Certified