Gabriel was very organized and prepared for this training. He answered all questions and clarify the AWS notions and architecture. Great job, Gabriel.
Mircea Turcu - Nexsan Technologies Canada
Cloud Computing provides shared system resources and data to computers and other devices on demand over the Internet.
NobleProg onsite live Cloud Computing training courses demonstrate through hands-on practice the fundamentals of cloud computing and how to benefit from cloud computing.
Cloud Computing training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Cloud Computing training can be carried out live on customer premises or in NobleProg local training centers.
Gabriel was very organized and prepared for this training. He answered all questions and clarify the AWS notions and architecture. Great job, Gabriel.
Mircea Turcu - Nexsan Technologies Canada
The trainer mobilized to give answers to our questions. It was a good "boot camp" training overall.
Gabriel Valentin Raduti - Computaris Romania SRL
Some new and interesting ideas. Meeting and interacting with other attendees
|osai||OpenStack Administration - Intermediate||14 hours||The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal: manual OpenStack cluster installation and configuration|
|glusterfs||GlusterFS for System Administrators||21 hours||GlusterFS is an open-source distributed file storage system that can scale up to petabytes of capacity. GlusterFS is designed to provide additional space depending on the user's storage requirements. A common application for GlusterFS is cloud computing storage systems. In this instructor-led training, participants will learn how to use normal, off-the-shelf hardware to create and deploy a storage system that is scalable and always available. By the end of the course, participants will be able to: Install, configure, and maintain a full-scale GlusterFS system. Implement large-scale storage systems in different types of environments. Audience System administrators Storage administrators Format of the Course Part lecture, part discussion, exercises and heavy hands-on practice.|
|opstadminexp||OpenStack Administration - Expert||14 hours||The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal: gaining expert knowledge regarding OpenStack installation and administration.|
|CloudInfrastructure||Cloud Infrastructure and Services||35 hours||Audience IT architects, IT consultants Format of the course Part lecture, part discussion, hands-on practice|
|osmsenv||OpenStack in Multi-Site Environment||14 hours||The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal: gaining knowledge regarding OpenStack design, installation and configuration in multi-site environment|
|osv||OSv: Operating System for the Cloud||7 hours||OSv is an open source operating system for the cloud. In this instructor-led, live training, participants will learn how OSv compares to conventional virtualization technologies and approaches as they set up an instance of OSv in a lab environment. By the end of this training, participants will be able to: Run OSv on minimal memory and cpu overhead, compared to traditional OSs Install, configure and troubleshoot OSv Reduce the size and number of running OS instances Run large applications such as Cassandra on OSv Audience System administrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|cloudcomp||Cloud Computing Overview||7 hours||This course has been created for people who want to understand how to benefit from cloud computing. It uses Amazon EC2 example, but can be tailored to other providers.|
|osarchd||OpenStack Architecture Design||14 hours||The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal: gaining expert knowledge regarding OpenStack architecture design|
|datastorageoverview||Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems||7 hours||This course helps customer to chose the write data storage depend on their needs. It covers almost all possible modern approaches.|
|opstcloud||Create OpenStack cloud infrastructure||14 hours||The course helps to understand and implement cloud infrastructure based on OpenStack. The participant learns the architecture and capabilities of OpenStack and a variety of installation scenarios.|
|osovv||OpenStack Overview||7 hours||The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. This is also great opportunity for IT managers to gain knowledge overview about possibilities which could be enabled by OpenStack. Before You spend a lot of money on OpenStack implementation, You could consider all pros and cons by attending on our course. This topic is also avaliable as individual consultancy. Course goal: gaining basic knowledge regarding OpenStack|
|cloudcpt||It is all about Cloud: Key Concepts, Players, and Technologies||21 hours||Audience IT architects, mid-level IT managers, IT consultants Format of the course Currently 100% lectures.|
|opstadminadv||OpenStack Administration - Advanced||14 hours||The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal: gaining advanced knowledge regarding OpenStack installation and administration|
|mdlmrah||Model MapReduce and Apache Hadoop||14 hours||The course is intended for IT specialist that works with the distributed processing of large data sets across clusters of computers.|
|oabicsa||OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)||28 hours||The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal: gaining basic knowledge regarding OpenStack design, installation and administration, preparation to the EX210 (Red Hat Certified System Administrator in Red Hat OpenStack) exam, automated and manual OpenStack cluster installation and configuration.|
|bdbitcsp||Big Data Business Intelligence for Telecom and Communication Service Providers||35 hours||Overview Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month. Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored. With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.) This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain. Course objectives Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following: Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective How Big Data analytic differs from legacy data analytic In-house justification of Big Data -Telco perspective Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies Network failure and service failure analytics from Network meta-data and IPDR Financial analysis-fraud, wastage and ROI estimation from sales and operational data Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization Target Audience Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office. Business Analysts in Telco CFO office managers/analysts Operational managers QA managers|
|cloudsaasiaas||Cloud, SaaS, IaaS - Practical Overview of Available Options||35 hours||This course is created for people who face choices which solution to choose for a specific problem. IT Managers, Solution Architects, Test Managers, System Administrators and Developers can benefit from this course by understanding the benefits and costs of available Cloud/SaaS/Iaas solutions.|
|iotemi||IoT (Internet of Things) for Entrepreneurs, Managers and Investors||21 hours||Unlike other technologies, IoT is far more complex encompassing almost every branch of core Engineering-Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics and Mobile. For each of its engineering layers, there are aspects of economics, standards, regulations and evolving state of the art. This is for the firs time, a modest course is offered to cover all of these critical aspects of IoT Engineering. Summary An advanced training program covering the current state of the art in Internet of Things Cuts across multiple technology domains to develop awareness of an IoT system and its components and how it can help businesses and organizations. Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation and use cases around connected devices & things Target Audience Managers responsible for business and operational processes within their respective organizations and want to know how to harness IoT to make their systems and processes more efficient. Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner. Estimates for Internet of Things or IoT market value are massive, since by definition the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly huge number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined. In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in Industrial Internet. However, the underlying technologies of IoT are nothing new as M2M communication existed since the birth of Internet. However what changed in last couple of years is the emergence of number of inexpensive wireless technologies added by overwhelming adaptation of smart phones and Tablet in every home. Explosive growth of mobile devices led to present demand of IoT. Due to unbounded opportunities in IoT business, a large number of small and medium sized entrepreneurs jumped on a bandwagon of IoT gold rush. Also due to emergence of open source electronics and IoT platform, cost of development of IoT system and further managing its sizable production is increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their device with Internet or Mobile app. This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts/entrepreneurs can grasp the basics of IoT technology and business. Course Objective Main objective of the course is to introduce emerging technological options, platforms and case studies of IoT implementation in home & city automation (smart homes and cities), Industrial Internet, healthcare, Govt., Mobile Cellular and other areas. Basic introduction of all the elements of IoT-Mechanical, Electronics/sensor platform, Wireless and wireline protocols, Mobile to Electronics integration, Mobile to enterprise integration, Data-analytics and Total control plane M2M Wireless protocols for IoT- WiFi, Zigbee/Zwave, Bluetooth, ANT+ : When and where to use which one? Mobile/Desktop/Web app- for registration, data acquisition and control –Available M2M data acquisition platform for IoT-–Xively, Omega and NovoTech, etc. Security issues and security solutions for IoT Open source/commercial electronics platform for IoT-Raspberry Pi, Arduino , ArmMbedLPC etc Open source /commercial enterprise cloud platform for AWS-IoT apps, Azure -IOT, Watson-IOT cloud in addition to other minor IoT clouds Studies of business and technology of some of the common IoT devices like Home automation, Smoke alarm, vehicles, military, home health etc.|
|softlayer||SoftLayer API Fundamentals||14 hours||This two-day instructor-led training course introduces SoftLayer Infrastructure-as-a-Solution (laaS) solutions through instruction and hands-on labs activities. Attendees will gain the basic fundamentals needed to become more proficient in SoftLayer and make informed decisions about laaS solutions based on business requirements.|
|cloudarch||Cloud Architect||35 hours||Day 1 - provides end-to-end coverage of fundamental cloud computing topics as they relate to both technology and business. The module is divided into a series of sections, each of which is accompanied by a hands-on exercise. Day 2 - explores technology-related topics that relate to cloud computing platforms. It does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that address cloud service architecture, cloud security threats and technologies, virtualization and data processing. Day 3 - provides a technical insight into foundational cloud computing platforms. Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) environments are explored as compound patterns, comprised of unique and shared building blocks. This module is structured as a guided tour through these architectural layers, describing primary components, highlighting shared components and explaining how building blocks can be assembled and implemented via cloud computing mechanisms and practices Day 4 - builds upon Day 3 to provide a deep dive into elastic, resilient and multitenant technology architectures, as well as specialized solution architectures, such as cloud bursting and cloud balancing. Through the study of architectural mechanisms, industry technologies and design patterns, both core and extended components are described that combine to realize elasticity, resiliency and multitenancy as primary characteristics of cloud platforms. By leveraging these native and enhanced scalability and failover-related feature-sets, specialized solution architectures are described to enable bursting between clouds and on-premise and cloud environments, as well as the balancing of runtime loads across clouds for performance and failover purposes. Day 5 - presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered previously.|
|azurearchitectures||Architecting Microsoft Azure Solutions||14 hours||This training permits delegates to improve their Microsoft Azure solution design skills. After this training the delegate will understand the features and capabilities of Azure services, to be able to identify trade-offs, and make decisions for designing public and hybrid cloud solutions. During training the appropriate infrastructure and platform solutions to meet the required functional, operational, and deployment requirements through the solution life-cycle will be defined.|
|lcsmcentos||Linux Cluster and Storage Management on CentOS 6 & 7||35 hours||Created Linux Administrators and developers who are interested with getting involved in Clustering or require knowledge of Clustering based on Linux system. Even beginners, who have the basic skill and knowledge on Linux, can catch up with this course just if you follow the instructor's lab and explanation in detail. This course is intended to practice enough clustering technology and to show it is very easy to understand the clustering technology on Linux system. This course will be delivered to audience with 40% lectures, 50% labs and 10% Q&A. This five-day course strongly emphasizes lab-based activities. You'll learn how to deploy and manage shared storage and server clusters that provide highly available network services to a mission-critical enterprise environment. It can be deliver on any distribution (CentOS and Ubuntu are commonly used)|
|rancher||Rancher: Manage your Docker containers||14 hours||Rancher is an open source software platform that enables organizations to run containers in production. With Rancher, organizations no longer have to cobble together distinct open-source technologies to build a container services platform. It includes a fully supported Kubernetes distribution as well as the option to choose from Docker Swarm and Apache Mesos. Rancher includes modular infrastructure services such as resource management, networking between containers, service discovery, container load balancing, container health monitoring, and backup and recovery, all under one roof. This course provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Rancher container management system. Audience Software engineers System administrators DevOps engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|awsarch1||AWS Architect Certification||14 hours||On demand AWS Architect Certification training course is designed to help professionals to become cloud-enabled using Amazon Web Services. This course is taught with real life examples, helps participants understand the practical application of concepts such as fundamentals of cloud computing, Amazon Web services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Private Clouds and Cloud programming. After this course participants will be able to have their own implementations on cloud using EC2 instances, S3 buckets etc.|
|rancheros||RancherOS: Just enough OS to run Docker||7 hours||RancherOS is an open-source Linux distribution that runs the entire operating system (including system services such as udev and rsyslog) as Docker containers. RancherOS includes only the bare minimum software needed to run Docker. It runs Docker as PID1 and dynamically pulls everything else it needs through Docker. At about 22MB, RancherOS is easy to distribute, orchestrate and spin up in your data center. This training introduces RancherOS's architecture, tools, and components and walks participants step-by-step through the setup of RancherOS in a live lab environment. By the end of this training, participants will have the understanding and practice to use RancherOS to run containers at scale in development, test and production. Audience DevOps engineers System administrators Software engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|cp100a||Google Cloud Platform Fundamentals: Core Infrastructure||8 hours||This one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies. This course teaches participants the following skills: Identify the purpose and value of Google Cloud Platform products and services Interact with Google Cloud Platform services Describe ways in which customers have used Google Cloud Platform Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Container Engine, and Google Compute Engine Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore Make basic use of BigQuery, Google’s managed data warehouse for analytics This class is intended for the following: Individuals planning to deploy applications and create application environments on Google Cloud Platform. Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform. Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs.|
|awspaas||AWS: A hands-on introduction to cloud computing||7 hours||This training provides an overview of AWS products, services and solutions. It is aimed at individuals and teams who are: evaluating/preparing for an initial deployment of their IT infrastructure on AWS evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to get comfortable and ready to carry out their own live deployments to AWS. Audience Engineers, system administrators, DBAs, DevOps Format of the course The training will be interactive and includes hands-on lab activities and live implementation.|
|psab||OpenStack Administration - Basic||14 hours||The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal: gaining basic knowledge regarding OpenStack design, installation and administration automated OpenStack cluster installation and configuration|
|springcloud||Spring Cloud: Building Microservices with Spring Cloud||14 hours||Spring Cloud builds on Spring Boot to enable the development of distributed systems and microservices. In this training we start with a discussion of microservice architecture. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices. By the end of this training participants will have a solid understanding of how to use Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices. Audience Java developers wishing to rapidly build and deploy microservices Format of the course Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.|
|dclfd1||Developing for Cloud Foundry||35 hours||Cloud Foundry is the industry standard open-source platform as a service (PaaS) that provides you with a choice of clouds, developer frameworks, and application services. Audience This course is directed at engineers and developers who want to develop applications to be deployed through Cloud Foundry.|
|gcpfaws||Google Cloud Platform Fundamentals for AWS Professionals||6 hours||This six-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. This course teaches participants the following skills: Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more. Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more. Manage and monitor applications. Explain feature and pricing model differences. Locate documentation and training. This class is intended for the following: AWS Solution Architects just getting started with Google Cloud Platform. AWS SysOps Administrators used to building IaaS solutions. Architects and Engineers operating in multi-cloud environments.|
|dpcloud||Deploying Cloud Foundry||35 hours||Cloud Foundry is the industry standard open-source platform as a service (PaaS) that provides you with a choice of clouds, developer frameworks, and application services. Audience This course is directed at engineers, architects and developers interested in deploying and maintaining Cloud Foundry as cloud infrastructure for their applications.|
|archgcp||Architecting with Google Cloud Platform: Infrastructure||24 hours||This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. This course teaches participants the following skills: Consider the entire range of Google Cloud Platform technologies in their plans. Learn methods to develop, implement, and deploy solutions. Distinguish between features of similar or related products and technologies. Recognize a wide variety of solution domains, use cases, and applications. Develop essential skills for managing and administering solutions. Develop knowledge of solution patterns -- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities. This class is intended for the following participants: Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.|
|Course||Course Date||Course Price [Remote / Classroom]|
|Cloud Computing Overview - Malmö, Stadskärna||Wed, 2018-03-07 09:30||1590EUR / 1790EUR|
|Google Cloud Platform Fundamentals: Core Infrastructure - Örebro, City Center||Wed, 2018-03-14 09:30||510EUR / 710EUR|
|Big Data Business Intelligence for Telecom and Communication Service Providers - Stockholm, Hotorhet||Mon, 2018-03-19 09:30||8880EUR / 10580EUR|
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