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
课程名称: AWS Architect Certification
Some new and interesting ideas. Meeting and interacting with other attendees
课程名称: IoT (Internet of Things) for Entrepreneurs, Managers and Investors
He was very personable and worked hard to provide a relevant experience. It was the course content that was the issue.
课程名称: IoT (Internet of Things) for Entrepreneurs, Managers and Investors
课程名称: OpenStack Overview
Praktyczna wiedza/doświadczenie prowadzącego.
Cezary Żeszczyński - Orange Szkolenia Sp. z o.o.
课程名称: OpenStack Overview
kontakt z prowadzącym, dobre przygotowanie merytoryczne, doswiadczenie
Marcin Terlecki - Orange Szkolenia Sp. z o.o.
课程名称: Cloud Computing Overview
Wykład odnośnie skali cloud computingu.
- Dolby Poland Sp. z o.o.
|rancher||Rancher：管理你的Docker容器||14小时||Rancher是一个开源软件平台，可以让企业在生产中运行容器。通过Rancher，企业不再需要拼凑不同的开源技术来构建容器服务平台。它包括完全受支持的Kubernetes发行版以及从Docker Swarm和Apache Mesos中进行选择的选项。Rancher包括模块化基础架构服务，如资源管理、容器之间的网络连接、服务发现、容器负载平衡、容器运行状况监控，以及备份和恢复等等。 本课程为参与者提供Rancher的概述，并通过动手实践演示如何部署和管理Rancher容器管理系统。 受众 软件工程师 系统管理员 开发运营（DevOps）工程师 课程形式 部分讲座、部分讨论、大量实操|
|awspaas||AWS: A hands-on introduction to cloud computing||7小时||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.|
|opstcloud||Create OpenStack cloud infrastructure||14小时||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.|
|mdlmrah||Model MapReduce and Apache Hadoop||14小时||The course is intended for IT specialist that works with the distributed processing of large data sets across clusters of computers.|
|CloudInfrastructure||Cloud Infrastructure and Services||35小时||Audience IT architects, IT consultants Format of the course Part lecture, part discussion, hands-on practice|
|iotemi||IoT (Internet of Things) for Entrepreneurs, Managers and Investors||21小时||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.|
|consul||Consul: Setting up service discovery, distributed failure detection, and key/value storage over multiple data centers||7小时||HashiCorp is an open-source software company that provides tools for provisioning, securing and running infrastructure for distributed applications. Their DevOps suite includes: Vault - for securing distributed applications Terraform - for provisioning infrastructure and application resources across public cloud, private cloud, and external services Nomad - a distributed, highly available, datacenter-aware cluster manager and scheduler for deploying applications on any infrastructure, at any scale. Consul - for discovering and configuring services in your infrastructure. This course focuses on Consul. We go over the Consul's architecture and features and carry out a live implementation and deployment of a Consul server. Audience Developers Operators Format Part lecture, part discussion, heavy hands-on practice and implementation, occasional quizzing to measure progress|
|osv||OSv: Operating System for the Cloud||7小时||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|
|dpcloud||Deploying Cloud Foundry||35小时||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.|
|datastorageoverview||Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems||7小时||This course helps customer to chose the write data storage depend on their needs. It covers almost all possible modern approaches.|
|dclfd1||Developing for Cloud Foundry||35小时||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.|
|azurearchitectures||Architecting Microsoft Azure Solutions||14小时||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.|
|awsarch1||AWS Architect Certification||14小时||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.|
|springcloud||Spring Cloud：使用Spring Cloud构建微服务||14小时||Spring Cloud基于Spring Boot构建，支持分布式系统和微服务的开发。 在本次培训中，我们将首先讨论微服务架构。将通过练习以及示例微服务的逐步开发来测试学员所学的知识。 通过此次培训，学员将对如何使用Spring Cloud及相关Spring技术快速开发自己的云规模、云就绪微服务有一个深入的了解。 受众 希望快速构建和部署微服务的Java开发人员 课程形式 重视实操。大部分概念是通过示例、练习和动手开发学到的。|
|cloudarch||Cloud Architect||35小时||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.|
|introazure||Introduction to Azure||7小时||Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services. In this instructor-led, live training, participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a sample cloud application. By the end of this training, participants will be able to: Understand the basics of Microsoft Azure Understand the different Azure tools and services Learn how to start using Azure in building cloud applications Audience Developers IT Professionals Engineers Business Managers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|cloudcomp||Cloud Computing Overview||7小时||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.|
|azurecli||Azure CLI: Getting Started||7小时||Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services. The Azure Command Line Interface (CLI) is an open source, cross-platform command line tool that makes creating and managing Azure resources easier. In this instructor-led, live training, participants will learn how to get started using the Azure CLI. By the end of this training, participants will be able to: Understand the basics of using the Azure CLI Learn techniques for managing resources using the Azure CLI Apply their learnings to practical real-world problems involving virtual machines, resource management, storage accounts, web apps, and SQL databases Automate their API using Azure service principals Audience Developers IT Professionals Technicians DevOps E Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|cloudcpt||It is all about Cloud: Key Concepts, Players, and Technologies||21小时||Audience IT architects, mid-level IT managers, IT consultants Format of the course Currently 100% lectures.|
|botsazure||Developing Intelligent Bots with Azure||14小时||The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to: Learn the fundamentals of intelligent bots Learn how to create intelligent bots using cloud applications Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service Understand how to design bots using bot patterns Develop their first intelligent bot using Microsoft Azure Audience Developers Hobbyists Engineers IT Professionals Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|lcsmcentos||Linux Cluster and Storage Management on CentOS 6 & 7||35小时||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)|
|pivotalcloudfoundry||Pivotal Cloud Foundry for Administrators||28小时||Pivotal Cloud Foundry is a Pivotal branded installation of Cloud Foundry. It integrates services such as MySQL, Redis, ELK, RabbitMQ, etc. with Cloud Foundry. In this instructor-led, live training, participants will learn how to set up and manage Pivotal Cloud Foundry. By the end of this training, participants will be able to: Understand how Pivotal Cloud Foundry's relation to other cloud offerings (SaaS, PaaS to IaaS) Install, configure and maintain an instance of Pivotal Cloud Foundry Deploy a sample cloud application Set up and manage users on Pivotal Cloud Foundry Back up, restore and upgrade Pivotal Cloud Foundry Audience Administrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|cloudsaasiaas||Cloud, SaaS, IaaS - Practical Overview of Available Options||35小时||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.|
|pivotalcloudfoundrydevs||Pivotal Cloud Foundry for Developers||21小时||Pivotal Cloud Foundry is a Pivotal branded installation of Cloud Foundry. It integrates services such as MySQL, Redis, ELK, RabbitMQ, etc. with Cloud Foundry. In this instructor-led, live training, participants will learn how to to deploy, manage, and scale applications on Pivotal Cloud Foundry. By the end of this training, participants will be able to: Understand how Pivotal Cloud Foundry's relation to other cloud offerings (SaaS, PaaS to IaaS) Deploy, manage and scale cloud native applications and services Understand how Cloud Foundry fits into a microservice architecture Audience Developers Administrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|glusterfs||GlusterFS for System Administrators||21小时||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.|
|morpheus||Multicloud Computing with Morpheus||21小时||Multicloud (multi-cloud) Computing refers to the use of cloud services from multiple providers, for example, using infrastructure (Iaas) services from different providers simultaneously, through a single management console. Morpheus is a Cloud Application Management Platform for managing applications across multiple clouds as well as orchestrating cloud resources themselves. In this instructor-led, live training, participants will learn set up, configure and manage Morpheus. By the end of this training, participants will be able to: Install and configure Morpheus Provision cloud resources across different infrastructures Orchestrate and manage clouds, including logging, monitoring and backups Migrate applications from on-premise to private or public clouds Integrate Morpheus with third-party tools such as Ansible, Chef, Consul, and others Audience Administrators Developers DevOps Engineers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Note To request a customized training for this course, please contact us to arrange.|
|coreos||Container Linux: Deploy and monitor containerized applications at scale||7小时||CoreOS Container Linux is an open-source lightweight operating system based on the Linux kernel. It provides infrastructure to clustered deployments and focuses on automation, ease of application deployment, security, reliability and scalability. Container Linux provides minimal functionality for deploying applications inside software containers and includes built-in mechanisms for service discovery and configuration sharing. This training introduces Container Linux's design philosophy, tools, and components and walks participants step-by-step through the setup of Container Linux and its services in a live working environment. Audience System administrators DevOps engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|iotazure||Programming for IoT with Azure||14小时||Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects. In this instructor-led, live training, participants will learn how to develop IoT applications using Azure. By the end of this training, participants will be able to: Understand the fundamentals of IoT architecture Install and configure Azure IoT Suite Learn the benefits of using Azure in programming IoT systems Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management) Build, test, deploy, and troubleshoot an IoT system using Azure Audience Developers Engineers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Note To request a customized training for this course, please contact us to arrange.|
|rancheros||RancherOS: Just enough OS to run Docker||7小时||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|
|bdbitcsp||为电信服务供应商的智能大数据信息业务||35小时||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|
|课程||日期||价格【远程 / 传统课堂】|
|Model MapReduce and Apache Hadoop - 苏州 - 晋合广场||星期二, 2018-05-15 09:30||￥18180 / ￥20580|
|Cloud Computing Overview - 新东方大厦||星期二, 2018-05-15 09:30||￥9660 / ￥10860|
|为电信服务供应商的智能大数据信息业务 - Beijing Digital Building||星期二, 2018-05-15 09:30||￥71210 / ￥72410|
|AWS Architect Certification - 香港 - 中環中心||星期四, 2018-05-17 09:30||￥7460 / ￥16660|