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  • Microsoft SQL Server
    This course is being retired by Microsoft on December 31, 2021.

    This three-day instructor-led course provides students moving from earlier releases of SQL Server with an introduction to the new features in SQL Server 2016.
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  • Microsoft SQL Server
    This course is being retired by Microsoft on December 31, 2021.

    This three-day instructor-led course is aimed at people looking to move into a database professional role or whose job role is expanding to encompass database elements. The course describes fundamental database concepts including database types, database languages, and database designs.
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  • Microsoft System Center
    This course is being retired by Microsoft on December 31, 2021.

    This course equips students with the skills they require to deploy and configure System Center 2012 R2 Operations Manager. Using hands-on labs, students learn the following: • How to architect and implement a System Center 2012 R2 Operations Manager Management Group. • How to upgrade and migrate from an existing Operations Manager 2007 R2 Management Group to System Center 2012 Operations Manager, System Center 2012 SP1 Operations Manager and System Center 2012 R2 Operations Manager. • Understand the key elements of Management Packs including Object Discoveries, Rules, Monitors, Targeting and Run As Accounts and Run As Profiles. This includes authoring Management Packs. • How to configure fabric and application monitoring in System Center 2012 R2 Operations Manager including both datacenter and cloud resources such as networking, storage and compute and more...
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  • Microsoft Visual Studio
    Note: This course is being retired by Microsoft on December 31, 2021.

    In this 5-day course, the professional web developers will learn to develop advanced ASP.NET Core MVC applications using .NET Core tools and technologies. The focus will be on coding activities that enhance the performance and scalability of the Web site application. This course will also prepare the student for exam 70-486.
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  • Microsoft Azure
    Note: This course is being retired by Microsoft on December 31, 2021.

    In this course, students will learn how to design and develop services that access local and remote data from various sources. Students will also learn how to develop and deploy services to hybrid environments, including on-premises servers and Microsoft Azure.
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  • Microsoft Cloud
    Note: This course is being retired by Microsoft on December 31, 2021.

    This course helps you prepare for Microsoft Technology Associate Exam 98-369, and build an understanding of these topics: The cloud, enabling, using and configuring cloud services, supporting cloud users, and administering Office 365 and Microsoft Intune.
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  • Amazon AWS
    Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform. Building on concepts introduced in Architecting on AWS, this course covers how to build complex solutions that incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, including AWS Direct Connect and AWS Storage Gateway to support hybrid architecture. It also covers designing best practices for building scalable, elastic, secure, and highly available applications on AWS.
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  • Amazon AWS
    The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. This three-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloud-based, cloud-native architectures; and applying the tenets of the Twelve-Factor Application methodology.
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  • Microsoft Azure
    This course teaches the concepts of Azure AI engineering by presenting, and developing, a scenario that creates a customer support Bot that utilizes various tools and services in the Azure AI landscape like language understanding, QnA Maker, and various Azure Cognitive Services to implement language detection, text analytics, and computer vision.
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  • Microsoft Azure
    This class is free of charge with the purchase of a Microsoft exam voucher for $99.

    This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
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  • Amazon AWS
    This course combines Architecting on AWS and Advanced Architecting on AWS to offer a comprehensive, immersive course in cloud architecture. It covers all aspects of how to architect for the cloud over 5 days. You will learn how to design cloud architectures, starting small and working to large-scale enterprise level designs—and everything in between. Starting with the Well Architected Framework, you will be immersed in AWS services like compute, storage, database, networking, security, monitoring, automation, optimization, benefits of de-coupling applications and serverless, building for resilience, and understanding costs. Using hands-on labs, you will apply knowledge from lectures to gain skills.
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  • Google
    This course equips students to build highly reliable and efficient solutions on Google Cloud Platform, using proven design patterns and the principles of Google Site Reliability Engineering (SRE). It is a continuation of the "Architecting with Google Cloud Platform: Infrastructure" course and assumes hands-on experience with the technologies covered in that course. Through a combination of presentations, demos, and hands-on labs, participants learn to design GCP deployments that are highly reliable and secure; and how to operate GCP deployments in a highly available and cost-effective manner.
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  • Amazon AWS
    AWS Business Essentials helps IT business decision makers understand the benefits of cloud computing and how a cloud strategy can help you meet your business objectives.
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  • Amazon AWS
    This course is for individuals who seek an understanding of how to manage, optimise, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimisation strategies, and design patterns to help you architect cost-efficient solutions on AWS.
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  • Amazon AWS
    The fundamental-level full day course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. It includes lab exercises reinforcing some of the core concepts of the lecture. This course also helps you prepare for the AWS Certified Cloud Practitioner exam. This course includes AWS Training Exclusives.
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  • Amazon AWS
    This course covers fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, you learn where you are responsible for implementing security in the AWS Cloud and what security-oriented services are available to you and why and how the security services can help meet the security needs of your organization.
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  • Amazon AWS
    Students will attain a deep knowledge of AWS infrastructure and design patterns on developing applications on AWS and attain skills to clear the AWS Certification Exam.
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  • Amazon AWS
    Students will attain a deep knowledge of AWS infrastructure and deployment on AWS, and attain skills to pass the AWS Certification Exam.
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  • Microsoft Azure
    This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.
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  • Microsoft Azure
    This course empowers you with the knowledge and skills required to successfully create and maintain the cloud and edge portions of an Azure IoT solution. You will learn the core Azure IoT services, such as IoT Hub, Device Provisioning Services, Azure Stream Analytics, Time Series Insights, and much more. With a focus on Azure PaaS services, this course expands into IoT Edge, device management, monitoring and troubleshooting, security concerns, and Azure IoT Central.
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  • Microsoft Azure
    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.
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  • Microsoft Azure
    This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution.
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  • Microsoft Azure
    In this course students will gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.
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  • Microsoft Azure
    This course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support. Note: This course provides an Azure pass and time for you to participate in hands-on labs. If you do not need hands-on experience, consider the AZ-900T01: Microsoft Azure Fundamentals (1 day) course. The content for both courses align to the AZ-900 exam objective domain.
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  • Microsoft Azure
    This class is free of charge with the purchase of a Microsoft exam voucher for $99.

    This course will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. The course can be taken as an optional first step in learning about cloud services and Microsoft Azure, before taking further Microsoft Azure or Microsoft cloud services courses. This class is the first step on your Azure certification journey.
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  • Amazon AWS
    Big Data on AWS introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.
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  • Red Hat OpenShift
    As a Java™ developer or architect, this hands-on, lab-based course will give you a firm understanding of Apache Camel and the enhancements and tools Red Hat offers in support of Camel development. This course is based on Red Hat® Enterprise Linux® 7.5, Red Hat® OpenShift® Container Platform 3.9, Red Hat® Fuse 7.1, and Apache Camel 2.21.
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  • Security
    The goal of the course is to prepare professionals for the challenging CCSP exam by covering the objectives of the exam based on the six domains as defined in the (ISC)2 CCSP common body of knowledge.
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  • Cisco
    Cisco AWS Integration v1.0 (CISAWS) is a five-day instructor led course that includes both lectures and hands-on labs. Students will learn how to use a suite of Cisco products to deploy a hybrid cloud environment that supports application workload mobility between a private Data Center deployed with 100% Cisco components and the AWS public cloud infrastructure. Cisco products featured in this course include: Cisco CSR 1000V, Cisco ASAv, Cisco CloudCenter, and Cisco Tetration. Throughout this course, the topic of security is stressed. Emphasis is placed on using Cisco products to provide the highest level of security in a Cisco/AWS hybrid cloud environment.
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  • Cloudera
    Cloudera University’s four-day administrator training course for Apache Hadoop provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster.
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  • CompTIA Cloud
    Students will weigh the pros and cons of cloud computing to make effective decisions and meet IT challenges.
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  • CompTIA Cloud
    In this course, you will learn how to implement, maintain, and deliver cloud technologies including network, storage, and virtualization technologies to create cloud solutions.
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  • Configuration Management and Infrastructure as Code for Network Cloud Engineers 1.0 is a 5-day hands-on course that focuses on the use of Ansible and Terraform for building network constructs in Hybrid Cloud infrastructures. A modular approach using standard builds are actioned with real life examples used in actual production environments for scalability and operation readiness. Focus of Orchestration is added to bring all of the tools together in harmony to provide an end to end and proper application of automation techniques.
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  • Cisco Telepresence
    This is a five-day Cloud Conferencing instructor-led course where students will learn how to Provision, Manage, and Register Telepresence endpoints in the WebEx Cloud. Students will also learn how to migrate their existing on-prem devices to the Cisco Telepresence Cloud. Students will also learn to integrate Hybrid Mesh nodes, Hybrid Calendaring, Hybrid Security, and Webex Teams with their existing Infrastructure.
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  • Citrix Virtual Apps and Desktops
    If you are new to Citrix or if you are planning a move to Citrix Cloud, this course is a necessary step in enabling you with the right training and skills to manage and deploy Citrix Workspace successfully.

    This foundational administration course covers the aspects of installing, configuring and managing a Citrix Virtual Apps and Desktops 7 environment, how to manage an on-premises Citrix solution and migrate from an on-premises solution to cloud using the Citrix Cloud management plane.

    This five-day course will teach you how to deploy, install, configure, setup profile management, configure policies, printing and basic security features for on-premises Virtual Apps and Desktop solution building, and then migrating to Citrix Cloud.
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  • Citrix Virtual Apps and Desktops Service
    Learn how to navigate the move from Citrix Virtual Apps and Desktops 7.1x on-premises to Citrix Virtual Apps and Desktops Service on Citrix Cloud. Get hands-on as the course guides you through the architecture, communications, management, installation, and configuration of Citrix Cloud and the Cloud Connector. Learn about the services available in Citrix Cloud with a focus on the Citrix Virtual Apps and Desktops Service. If you are planning a move to Citrix Cloud or starting out anew, this course is a necessary step in enabling you with the right training and skills to understand, manage, and deliver successfully. In this course you will not only learn how to migrate from an onpremises solution to using the Citrix Cloud management plane, but also considerations for moving workloads to public clouds.
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  • Citrix Virtual Apps and Desktops Service
    Learn to deploy and manage your Citrix Virtual Apps and Desktops apps and desktops in Microsoft Azure. Gain the skills to plan your machine catalog and virtual machine design based in Microsoft's public cloud and get hands-on practice deploying those machines using Machine Creation Services. You will also learn about additional Azure considerations including maintenance and power management which are critical in a cloud environment. For remote access, you will learn to configure Citrix StoreFront and Citrix Gateway on the Azure platform. This course focuses on Microsoft Azure as a Citrix Cloud resource location however concepts are relevant to both Citrix Cloud and fully managed Citrix Virtual Apps and Desktops sites.
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  • Citrix Virtual Apps and Desktops Service
    Navigate the move from an on-premises environment into Citrix Cloud and learn to deploy resource locations onto Microsoft Azure. Learn the architecture, communications, and management of Citrix Cloud and the Citrix Virtual Apps and Desktops Service and then migrate existing infrastructure and settings into Citrix Cloud. If you are planning a move to Citrix Cloud or starting out anew, this course is a necessary step in enabling you with the right training and skills to understand, manage, and deliver successfully. Plan machine catalog and virtual machine design based in Microsoft's public cloud and deploy those machines using Machine Creation Services. Learn to configure the access layer as a service within Citrix Cloud, as managed machines in your datacenter, or on the Azure platform.
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  • Citrix Virtual Apps and Desktops Service
    Navigate the move from an on-premises environment into Citrix Cloud and learn to deploy resource locations onto Amazon Web Services. Learn the architecture, communications, and management of Citrix Cloud and the Citrix Virtual Apps and Desktops Service and then migrate existing infrastructure and settings into Citrix Cloud. If you are planning a move to Citrix Cloud or starting out anew, this course is a necessary step in enabling you with the right training and skills to understand, manage, and deliver successfully. Plan machine catalog and virtual machine design based in Amazon Web Services and deploy those machines using Machine Creation Services. You will also learn valuable leading practices for maintaining and managing your Citrix Virtual Apps and Desktops Service deployment, including deployments integrated with AWS, such as power management and the use of Autoscale. Together with the hands-on lab exercises, this course gives you the opportunity to create a successful Citrix Virtual Apps and Desktops Service deployment on AWS.
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  • Amazon AWS
    Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS.
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  • This four-day course prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH).
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  • Amazon AWS
    In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications. Explore how to interact with AWS using code and also learn about key concepts, best practices, and troubleshooting tips.
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  • Amazon AWS
    DevOps Engineering on AWS demonstrates how to use the most common DevOps patterns to develop, deploy, and maintain applications on AWS. The course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small and medium-sized business, and enterprise development scenarios.
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  • Microsoft Azure
    In this course, the students will explore the objectives of data platform modernization and how it is suitable for given business requirements. They will also explore each stage of the data platform modernization process and define what tasks are involved at each stage, such as the assessment and planning phase. Students will also learn the available migration tools and how they are suitable for each stage of the data migration process. The student will learn how to migrate to the three target platforms for SQL based workloads; Azure Virtual Machines, Azure SQL Databases and Azure SQL Database Managed Instances. The student will learn the benefits and limitations of each target platform and how they can be used to fulfil both business and technical requirements for modern SQL workloads. The student will explore the changes that may need to be made to existing SQL based applications, so that they can make best use of modern data platforms in Azure.
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  • Microsoft Azure Cosmos DB
    This course will teach the students what is Cosmos DB and how you can migrate MongoDB and Cassandra workloads to Cosmos DB.
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  • Microsoft Azure
    Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
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  • Microsoft Azure
    In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data. The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.
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  • Amazon AWS
    Cloud Computing has grown from being just a buzzword to a serious business decision that many businesses are contemplating. Therefore, knowledge about it is necessary to make a clear and strategic plan to move applications and services to the Cloud. Fundamentals of AWS is for anyone with an IT background who is interested in understanding Cloud Computing. This course will equip you with basic knowledge of Cloud Technologies in use now.
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  • Google Cloud
    This course provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, students learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.
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  • Cisco
    The Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI) v1.0 course provides you with knowledge about Cisco Expressway Series solutions enabling business-to-business (B2B) calls, Cisco Mobile, remote access, authentication options, and additional Cisco Expressway Series features. Through a combination of lessons and hands-on labs, you will learn how to leverage collaborative technology to access secure, collaborative work supports including video, voice, content, and remote workloads. This course also prepares you for the 300-820 Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI) exam.
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  • Amazon AWS
    This course covers various cloud migration strategies with a detailed discussion on each phase of the migration process, including portfolio discovery, application migration planning and design, migration execution, and post-migration validation.
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  • Nutanix Enterprise Cloud
    The Nutanix Enterprise Cloud Administration (ECA) 5.15 course enables administrators (system, network, and storage) to successfully configure and manage Nutanix in the datacenter.
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  • Amazon AWS
    In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You will also learn about our nonrelational database services including Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB. By the end of this course, you will be familiar with the planning and design requirements of all 8 of these AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads.
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  • Amazon SageMaker
    In this intermediate-level course, individuals learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use cases include customer retention analysis to inform customer loyalty programs.
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  • Introducing Python Basics for Cloud Network Engineers 3.0 is a 5-day hands-on course that focuses on the interoperability of Python programming with Networking to prepare the Next Generation Engineers for Software Defined Networking. This class is designed for Network Engineers and Operators looking to add necessary programming skills in preparation for Network Appliances or Cloud Technologies. Amazon Web Services is the focus of the class due to its excellent API interaction and documentation layout, which should provide a useful approach when applying to other technologies. The course builds on the Python skills learned in the course by combining with a skillset of data extraction and cleaning. The intent of these skills are to explore, perform and combine with Analysis to find meaning to your data. This course is a MUST for a Network or Cloud Engineer in this age of fast growing Big Data Market.
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  • Red Hat OpenShift
    This course will enhance your understanding of containers as a key technology for configuring and deploying applications and microservices. As the second course in the OpenShift development track, this offering will teach you how to design, build, and deploy containerized software applications to an OpenShift cluster. Whether you’re writing container-native applications or migrating existing brownfield applications, you’ll learn how to boost developer productivity powered by Red Hat® OpenShift Container Platform, a containerized application platform that allows enterprises to manage container deployments and scale their applications using Kubernetes. This course is based on Red Hat OpenShift Container Platform 4.1.
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  • Red Hat Networking
    This course will teach students to install a proof-of-concept, configure, use, and maintain Red Hat OpenStack Platform. The focus on this course will be managing OpenStack using the Horizon dashboard and the command-line interface and managing instances, leaving students with proof-of-concepts.
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  • Red Hat Linux
    This course is ideal for security administrators and system administrators who need to manage the secure operation of servers running Red Hat® Enterprise Linux®, whether deployed on physical hardware, as virtual machines, or as cloud instances. Maintaining security of computing systems is a process of managing risk through the implementation of processes and standards backed by technologies and tools. In this course, you will discover and understand the resources that can be used to help you implement and comply with your security requirements. This course is based on Red Hat Enterprise Linux 7.5, Red Hat Satellite 6.3, Red Hat Ansible® Engine 2.5, Red Hat Ansible Tower 3.2, and Red Hat Insights.
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  • Salesforce
    This class is delivered by a senior instructor with many years of real world consulting experience and will cover the following topics:    Enable communities in your org. Learn how communities work and their capabilities. Create a new community for partner sales. Create a community for self-service support. Use dashboards to measure success. Keep the community engaged.   As a participant in the class, each student will be given a practice learning environment to use during hands-on exercises during the class. The student will be able to use this learning environment indefinitely after the class without any additional fee.
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  • Cisco
    The Securing Cloud Deployments with Cisco Technologies (SECCLD) v1.0 course shows you how to implement Cisco® cloud security solutions to secure access to the cloud, workloads in the cloud, and software as a service (SaaS) user accounts, applications, and data. Through expert instruction and hands-on labs, you’ll learn a comprehensive set of skills and technologies including: how to use key Cisco cloud security solutions; detect suspicious traffic flows, policy violations, and compromised devices; implement security controls for cloud environments; and implement cloud security management. This course covers usage of Cisco Cloudlock, Cisco Umbrella™, Cisco Cloud Email Security, Cisco Advanced Malware Protection (AMP) for Endpoints, Cisco Stealthwatch® Cloud and Enterprise, Cisco Firepower® NGFW (next-generation firewall), and more.
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  • Amazon AWS
    This course demonstrates how to efficiently use AWS security services to stay secure in the AWS Cloud. The course focuses on the security practices that AWS recommends for enhancing the security of your data and systems in the cloud. The course highlights the security features of AWS key services including compute, storage, networking, and database services. You will also learn how to leverage AWS services and tools for automation, continuous monitoring and logging, and responding to security incidents.
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  • Amazon AWS
    Learn how to use the machine learning (ML) pipeline with Amazon SageMaker with hands-on exercises and four days of instruction. You will learn how to frame your business problems as ML problems and use Amazon SageMaker to train, evaluate, tune, and deploy ML models. Hands-on learning is a key component of this course, so you’ll choose a project to work on, and then apply the knowledge and skills you learn to your chosen project in each phase of the pipeline. You’ll have a choice of projects: fraud detection, recommendation engines, or flight delays.
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  • VMware Cloud Foundation
    This two-day course introduces the concepts and architecture of VMware Cloud Foundation™ to prepare students for a successful deployment. This course explains how to design and size your infrastructure for the management components and for workload domains in preparing for VMware Cloud Foundation deployment. This course provides instruction on planning and designing the physical network, a key preparatory step for VMware Cloud Foundation. This course describes how to plan for, and execute, the VMware Cloud Foundation bring-up process and explains how to image VMware ESXi™ hosts for use in VMware Cloud Foundation using the VMware Imaging Appliance. Live labs provide hands-on experience to help understand key course objectives.
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  • Microsoft Azure
    This workshop teaches IT Professionals how to migrate existing on-premises workloads and assets to the cloud, specifically to the Microsoft Azure platform. Students learn how to assess and evaluate an existing on-premises environment in preparation for a cloud migration. Students also learn how to monitor and optimize their Azure-based workloads to maximize return on investment (ROI), and use Azure services to protect and manage your virtual machines, applications, and data.
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