Explore Our Courses

Deep Learning with TensorFlow in Google Colab

 14 時間
Google Colab is a cloud-based Jupyter notebook environment that allows you to run Python code for free and is particularly well-suited for machine learning and deep learning tasks using libraries like TensorFlow.This instructor-led, live training (online or onsite) is aimed at intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment.By the end of this training, participants will be able to:
  • Set up and navigate Google Colab for deep learning projects.
  • Understand the fundamentals of neural networks.
  • Implement deep learning models using TensorFlow.
  • Train and evaluate deep learning models.
  • Utilize advanced features of TensorFlow for deep learning.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Machine Learning with Google Colab

 14 時間
Google Colab is a cloud-based platform that provides a collaborative environment for machine learning development, offering free access to computing resources and an easy-to-use interface.This instructor-led, live training (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply machine learning algorithms efficiently using the Google Colab environment.By the end of this training, participants will be able to:
  • Set up and navigate Google Colab for machine learning projects.
  • Understand and apply various machine learning algorithms.
  • Use libraries like Scikit-learn to analyze and predict data.
  • Implement supervised and unsupervised learning models.
  • Optimize and evaluate machine learning models effectively.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Data Visualization with Google Colab

 14 時間
Data Visualization with Google Colab is a course designed to introduce participants to the fundamentals of data visualization using powerful Python libraries like Matplotlib and Seaborn within the Google Colab environment.This instructor-led, live training (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.By the end of this training, participants will be able to:
  • Set up and navigate Google Colab for data visualization.
  • Create various types of plots using Matplotlib.
  • Utilize Seaborn for advanced visualization techniques.
  • Customize plots for better presentation and clarity.
  • Interpret and present data effectively using visual tools.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Python Programming Fundamentals using Google Colab

 14 時間
Python is a versatile and widely-used programming language. Google Colab is an interactive cloud-based platform that allows users to write and execute Python code through their browser. It's particularly useful for machine learning, data analysis, and education.This instructor-led, live training (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.By the end of this training, participants will be able to:
  • Understand the basics of Python programming language.
  • Implement Python code in Google Colab environment.
  • Utilize control structures to manage the flow of a Python program.
  • Create functions to organize and reuse code effectively.
  • Explore and use basic libraries for Python programming.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Introduction to Google Colab for Data Science

 14 時間
Google Colab is a free, cloud-based platform that allows users to write and execute Python code in a web-based, interactive environment.This instructor-led, live training (online or onsite) is aimed at beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.By the end of this training, participants will be able to:
  • Set up and navigate Google Colab.
  • Write and execute basic Python code.
  • Import and handle datasets.
  • Create visualizations using Python libraries.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Data Management and Industry-Aware Data Fabrics

 14 時間
A Data Fabric is an architecture and set of data services that provide consistent capabilities across a choice of endpoints spanning on-premises and multiple cloud environments. Industry-Aware Data Fabrics is an advanced approach to data management that integrates various data sources across cloud platforms to provide a unified, coherent data environment.This instructor-led, live training (online or onsite) is aimed at intermediate-level data engineers, cloud architects, and business intelligence professionals who wish to master data management in industry-specific cloud environments.By the end of this training, participants will be able to:
  • Understand the principles and components of data fabrics.
  • Design and implement data integration and orchestration solutions.
  • Ensure data quality and governance within industry cloud platforms.
  • Utilize data fabrics to support industry-specific data analysis and decision-making.
  • Stay current with emerging trends and technologies in cloud data management.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Introduction to Industry Cloud Platforms (ICPs)

 14 時間
Industry Cloud Platforms (ICPs) are specialized cloud services tailored for specific industry needs.This instructor-led, live training (online or onsite) is aimed at beginner-level IT professionals, business analysts, and project managers who wish to understand the fundamentals of cloud computing and its applications in various industries.By the end of this training, participants will be able to:
  • Identify the key characteristics and benefits of cloud computing.
  • Understand the differences between various cloud service and deployment models.
  • Recognize the importance of industry-specific cloud solutions.
  • Assess the security and compliance aspects of cloud platforms.
  • Explore emerging trends and future directions in cloud technology.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Alibaba Cloud Fundamentals

 7 時間
Alibaba Cloud is a cloud computing platform that offers a full range of cloud services for networking, databases, security, analytics, big data, application services, and much more. This instructor-led, live training (online or onsite) is aimed at IT professionals who wish to learn the fundamentals of Alibaba Cloud and how to use its cloud computing services. By the end of this training, participants will be able to:
  • Understand the Alibaba Cloud solution architecture.
  • Learn about the Alibaba Cloud core products and services.
  • Understand the capabilities of Alibaba Cloud in dealing with big data and databases.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Building Cloud Services with NoCloud

 28 時間
NoCloud is a platform for building cloud services using your own infrastructure or virtual resources, providing processes such as self-service, deployment, provisioning and usage accounting. It is based on Docker and Kubernetes, and uses Helm charts to define and manage cloud services.  This instructor-led, live training (online or onsite) is aimed at intermediate-level developers, system administrators, and cloud architects who wish to use NoCloud for their cloud solutions. By the end of this training, participants will be able to:
  • Set up a development environment that includes NoCloud, Docker, Kubernetes, and Helm.
  • Create and manage cloud services with NoCloud.
  • Understand the lifecycle of a cloud service in NoCloud.
  • Integrate NoCloud with existing infrastructure or virtual resources.
  • Troubleshoot common issues in a NoCloud environment.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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OpenNebula Cloud Computing

 21 時間
OpenNebula is an open-source cloud computing platform designed for building and managing enterprise, private, and hybrid clouds. This instructor-led, live training (online or onsite) is aimed at developers, system administrators, and cloud enthusiasts who wish to gain practical knowledge of OpenNebula and use it for their cloud solutions. By the end of this training, participants will be able to:
  • Set up a development environment that includes OpenNebula.
  • Create and manage virtual machines in OpenNebula.
  • Understand the lifecycle of a virtual machine.
  • Integrate OpenNebula with existing infrastructure.
  • Troubleshoot common issues in an OpenNebula environment.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Boomi Developer Advanced

 28 時間
Boomi, also known as Dell Boomi, is an integration platform-as-a-service (iPaas) that allows the connection and processing of data across systems, applications, and other sources. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level integration developers and system administrators who wish to learn advanced Boomi techniques for building, managing, and deploying cloud-based solutions on integration platforms. By the end of this training, participants will be able to:
  • Use AtomSphere and work with Boomi documents.
  • Create and design complex integration processes for advanced logic and data processing.
  • Manage deploy integration processes, logging, and reporting.
  • Capture and handle errors.
  • Apply best practices and techniques for integrating with Boomi.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Google Kubernetes Engine (GKE)

 14 時間
Google Kubernetes Engine (GKE) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Google Cloud.  In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on Google Cloud.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Google Cloud.
  • Migrate an existing Kubernetes environment from on-premise to Google Cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
  • To request specific images or any other customization for this training, please contact us to arrange.
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Azure for Data Engineer

 35 時間
Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data. By the end of this training, participants will be able to:
  • Install and configure Power BI.
  • Evaluate the various data solutions offered by cloud providers such as Azure.
  • Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
  • Apply tools and techniques to clean data in preparation for analysis.
  • Build reporting and analytics solutions based on on-premise as well as cloud data.
  • Integrate data analytics solutions with a data warehouse.
  • Mitigate data security risks and ensure data privacy.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
 
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Serverless on Kubernetes Fundamentals

 21 時間
Serverless is a DevOps architecture that allows the creation and deployment of highly-scalable enterprise applications without the provisioning of any server. Kubernetes is an open-source platform for building container-based and cloud-native projects. A serverless framework can be integrated with Kubernetes to provide the automated hosting infrastructure necessary to run CaaS and FaaS implementations. This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes. By the end of this training, participants will be able to:
  • Setup and configure the Kubernetes system to start developing with a serverless architecture.
  • Understand the concepts and principles foundational to serverless environments.
  • Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
  • Practice their skill in Python programming language and apply it to implement  serverless systems.
  • Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
  • Utilize modern cloud computing methods in optimizing DevOps task processing workflows.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Cloud Computing Overview

 7 時間
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.
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It is all about Cloud: Key Concepts, Players, and Technologies

 21 時間
Audience IT architects, mid-level IT managers, IT consultants Format of the course Currently 100% lectures.
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Cloud Architect

 35 時間
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.
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Cloud, SaaS, IaaS - Practical Overview of Available Options

 35 時間
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.
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Getting Started with Consul

 7 時間
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.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice and implementation, occasional quizzing to measure progress
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Cloud computing essentials for managers / software engineers

21 時間
Audience Software Engineer/Computer Scientists with adequate concepts of algorithms and
familiarity with at least one programming/scripting language but without any experience of Cloud
Computing Duration 3 days (7 hours / day)
 
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Multicloud Computing with Morpheus

 21 時間
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.
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Data Analytics Process, Cloud Solutions, and Power BI Solutions

 35 時間
Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data. By the end of this training, participants will be able to:
  • Install and configure Power BI.
  • Evaluate the various data solutions offered by cloud providers such as Azure.
  • Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
  • Apply tools and techniques to clean data in preparation for analysis.
  • Build reporting and analytics solutions based on on-premise as well as cloud data.
  • Integrate data analytics solutions with a data warehouse.
  • Mitigate data security risks and ensure data privacy.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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MinIO Cloud Storage Stack

 14 時間
MinIO is a cloud based storage server for storing objects and unstructured data. With MinIO, users are able to build high performance infrastructures that are lightweight and scalable. This instructor-led, live training (online or onsite) is aimed at cloud engineers who wish to store objects and unstructured data using MinIO. By the end of this training, participants will be able to:
  • Provide an alternative to Unix Commands with the MinIO Client.
  • Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
  • Deploy MinIO on Kubernetes for orchestrated deployment to scale.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Google Workspace (G Suite) for Administration

 14 時間
G Suite is a suite of Google Cloud products and software for cloud computing, collaboration, and more. With G Suite, system administrators will able to create and manage a company profile, choose services, set up advanced security options, etc. This instructor-led, live training (online or onsite) is aimed at system administrators who wish to manage and deploy G Suite for organizations. By the end of this training, participants will be able to:
  • Apply Google security practices with 2SV and SSO.
  • Monitor domain and services usage through reports in the Admin Console.
  • Set up and configure a G Suite Admin Console.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Pulumi - Infrastructure as Code

 21 時間
Pulumi is an infrastructure as code tool for creating, deploying, and managing cloud applications and infrastructure. This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions. By the end of this training, participants will be able to:
  • Install and configure Pulumi.
  • Declare cloud infrastructure using programming languages.
  • Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
  • Deploy software to public, private, and hybrid cloud service infrastructures.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Google Anthos for Hybrid and Multi-Cloud Computing

 14 時間
Google Anthos is a set of managed services that add value to the Kubernetes container platform. Anthos can be run on a hybrid and multicloud environment. This instructor-led, live training (online or onsite) is aimed at developers who wish to use Anthos to build, deploy, and optimize applications running on top of multi-cluster Kubernetes infrastructure. By the end of this training, participants will be able to:
  • Set up Google Anthos on-premise or in the cloud.
  • Define, automate, and enforce policies across different environments.
  • Manage traffic between services.
  • Use Anthos Service Mesh to monitor, troubleshoot, and improve application performance.
  • Implement security controls across all deployments.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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FinOps

 7 時間
Cloud Financial Management or FinOps is the practice of implementing cloud technology to optimize the financial management and operations of a business. This instructor-led, live training (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud. By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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CITRIX Virtual Apps and Desktops 7 Administration On-Premises And In CITRIX Cloud

 35 時間
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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Fn Project

 7 時間
Fn Project is an open-source, serverless platform that can run on any cloud or in-house environment. Fn can be hosted in various Docker-supported platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. This instructor-led, live training (online or onsite) is aimed at programmers and developers who wish to use Fn in creating serverless applications and services. By the end of this training, participants will be able to:
  • Set up Fn to create directories and functions.
  • Create applications using different programming languages.
  • Monitor functions to resolve issues at the development and deployment stages.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Parallel Programming with OpenMP

 14 時間
OpenMP (Open Multi-Processing) is an API for shared memory multiprocessing programming. With OpenMP, programmers are able to develop parallel applications for platforms from desktops to non-shared memory systems. This instructor-led, live training (online or onsite) is aimed at software engineers who wish to develop parallel applications using OpenMP. By the end of this training, participants will be able to:
  • Understand and use parallel programming with Fortran in OpenMP.
  • Calculate fractals in parallel to render multiple pixels and characters.
  • Implement vector programming with SIMD extensions for HPC systems.
  • Add parallel blocks for specifying shared memory parallelism.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Kubeless for Developers

 14 時間
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Kubeless to build and deploy applications as functions on top of Kubernetes. By the end of this training, participants will be able to:
  • Install and configure Kubeless.
  • Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
  • Comfortably manage functions as standard Kubernetes objects.
  • Troubleshoot deployments using existing logging and monitoring setup and skills.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about Kubeless, please visit: https://kubeless.io/
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OpenFaas for Developers

 14 時間
This instructor-led, live training (online or onsite) is aimed at developers who wish to use OpenFaas to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying server infrastructure. By the end of this training, participants will be able to:
  • Install and configure OpenFaas.
  • Package any binary or code as a serverless function without repetitive boiler-plate coding.
  • Decouple from AWS Lambda to avoid lock-in.
  • Deploy event-driven functions to an on-premise server or to the cloud.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about OpenFaas, please visit: https://www.openfaas.com/
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Knative for Developers

 14 時間
This instructor-led, live training (online or onsite) is aimed at developers who wish to use Knative to deploy serverless, event-driven functions, applications, and containers in a simplified and consistent manner. By the end of this training, participants will be able to:
  • Install and configure Knative on-premise.
  • Deploy and run serverless functions and applications that autoscale.
  • Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
  • Simplify the overhead of deploying containers; focus on writing great code.
Format of the course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • This course is aimed at on-promise installations of Knative. To use a Knative service provided by a cloud providers, contact us to arrange.
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about Knative, please visit: https://cloud.google.com/knative/
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Serverless Framework for Developers

 14 時間
The Serverless Framework is a web framework for building applications on serverless computing platforms such as AWS Lambda, Azure Functions, IBM Cloud Functions, Google Cloud Functions, etc. This instructor-led, live training (online or onsite) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications. By the end of this training, participants will be able to:
  • Set up Serverless Framework to work with compute services such as AWS Lambda.
  • Reduce the complexity and cost of deploying microservices on different cloud platforms.
  • Emit and capture events and execute functions automatically.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options 
  • Sample applications and functions can written in a number of languages (Python, Java, Scala, C#, etc.), please contact us to request your preference.
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about Serverless Framework, please visit: https://github.com/serverless/serverless
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Building Microservices with Microsoft Azure Service Fabric (ASF)

 21 時間
Microsoft Azure Service Fabric (ASF) is a platform as a service (PaaS) used for deploying scalable microservices-based cloud applications. This instructor-led, live training (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).By the end of this training, participants will be able to:
  • Use ASF as a platform for building and managing microservices.
  • Understand key microservices programming concepts and models.
  • Create a cluster in Azure.
  • Deploy microservices on premises or in the cloud.
  • Debug and troubleshoot a live microservice application.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about Service Fabrice, please see: https://github.com/Microsoft/service-fabric
続きを読む...

Amazon DynamoDB for Developers

 14 時間
DynamoDB is a NoSQL database service offered by AWS as part of the AWS portfolio. It is a key-valued and document based database that delivers fast performance. This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start integrating data into DynamoDB.
  • Integrate DynamoDB into web applications and mobile applications.
  • Move data in AWS with AWS services.
  • Implement operations with AWS DAX.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

AWS CloudFormation

 7 時間
Managing an AWS environment is a complex and error-prone job. CloudFormation enables the provisioning of a cloud environment using text based YAML templates.  This instructor-led, live training (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure. By the end of this training, participants will be able to:
  • Enable AWS services to get started managing infrastructure.
  • Understand and apply the principle of "infrastructure as code".
  • Improve quality and lower the costs of deploying infrastructure.
  • Write CloudFormation Templates using YAML.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

Advanced Amazon Web Services (AWS) CloudFormation

 7 時間
Amazon Web Services (AWS) CloudFormation is a service that simplifies infrastructure management by treating infrastructures as code. CloudFormation templates can be used to manage and provision AWS resources. This instructor-led, live training (online or onsite) is aimed at cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem. By the end of this training, participants will be able to:
  • Implement CloudFormation templates to automate infrastructure management.
  • Integrate existing AWS resources into CloudFormation.
  • Use StackSets to manage stacks across multiple accounts and regions.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

AWS IoT Core

 14 時間
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy and manage IoT devices on AWS. By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS. Format of the course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • Exercises will be based on any of a number of languages and SDKs supported by AWS IoT (C, Java, JavaScript, Python, Arduino Yún, iOS, Android, etc.). To request a specific language or SDK, please contact us to arrange.
  • To learn more about AWS IoT Core, please visit: https://aws.amazon.com/iot-core/
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Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「8 Hours Remote」

 8 時間
Summary:
  • Basics of IoT architecture and functions
  • “Things”, “Sensors”, Internet and the mapping between business functions of IoT
  • Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
  • IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
  • Basics of IoT device communication with cloud with MQTT.
  • Connecting IoT devices to AWS with MQTT (AWS IoT Core).
  • Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
  • Connecting Raspberry PI with AWS IoT core and simple data communication.
  • Hands on with Raspberry PI and AWS IoT Core to build a smart device.
  • Sensor data visualization and communication with web interface.
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Amazon Web Services (AWS) IoT Greengrass

 21 時間
Amazon Web Services (AWS) Greengrass is an open source, cloud service that helps users create and deploy Internet of Things (IoT) applications on devices in homes, cars, hospitals, businesses, and more. AWS IoT Greengrass provides local compute, messaging, sync, data management, and machine learning inference capabilities to edge devices in a secure and cost-efficient way. This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices. By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

AWS Lambda for Developers

 14 時間
AWS Lambda is a "serverless" computing platform that allows engineers to create a small function, configure it in AWS console, and execute it without needing to provision servers—paying only for the resources used during the execution. This instructor-led, live training (online or onsite) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.). By the end of this training, participants will be able to:
  • Configure AWS Lambda to execute a function.
  • Understand FaaS (Functions as a Service) and the advantages of serverless development.
  • Build, upload and execute AWS Lambda functions.
  • Integrate Lambda functions with different event sources.
  • Package, deploy, monitor and troubleshoot Lambda based applications.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about AWS Lambda, please visit: https://docs.aws.amazon.com/lamda
続きを読む...

Advanced AWS Lambda

 14 時間
AWS Lambda is a compute service that allows developers to write and run code without having to spin up containers and virtual machines, maintain storage, or procure the resources for running the code at scale. This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate AWS Lambda functions with services such as API Gateway, Kinesis Streams, etc. The training also demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively. By the end of this training, participants will be able to:
  • Collaboratively develop applications and services using AWS Cloud9 IDE.
  • Integrate AWS Lambda functions with other AWS services.
  • Create and manage APIs.
  • Set up an AWS Lambda function to read and process real-time streaming data.
  • Create and manage a continuous integration pipeline for building, testing and deploying an AWS Lambda application.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

Boomi Integration Fundamentals

 14 時間
Boomi, also known as Dell Boomi, is an integration platform as-a-service (iPaas) for building application, data, network, and API management integrations. It provides a secure, low-code, and unified platform, leveraging cloud technologies to scale and accelerate business processes and workflows. This instructor-led, live training (online or onsite) is aimed at integration developers, sysadmins, and system integrators who wish to use Boomi to build, manage, and deploy integration platforms for cloud-based solutions. By the end of this training, participants will be able to:
  • Set up the necessary environment to start building integrations with Boomi.
  • Understand Boomi AtomSphere's features, architecture, and core concepts.
  • Learn how to design, build, and deploy integration processes with Boomi.
  • Use Boomi's dashboard and reporting options to monitor applications.
  • Manage configurations and deployments for Atom, Molecule, and Atom Cloud.
  • Enable web services and API integration and management with Boomi.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

Virtualization with Citrix Hypervisor for Administrators

 21 時間
Citrix Hypervisor (formerly XenServer) is an open source virtualization management platform for desktop, servers, and cloud. It helps ensure consistent data center uptime and high availability by optimizing compute resources and virtual server workloads. This instructor-led, live training (online or onsite) is aimed at sysadmins or IT administrators who wish to use Citrix Hypervisor to deploy, manage, and optimize data center virtualization across desktop, servers, and cloud. By the end of this training, participants will be able to:
  • Set up the necessary environment to start managing desktop, server, and cloud virtualization with Citrix Hypervisor.
  • Simplify virtualization management and operations by utilizing the full features and architecture of Citrix Hypervisor.
  • Configure and manage the Citrix Hypervisor environment using XenCenter and CLI commands.
  • Learn how to install, configure, and manage virtual machines, GPUs, and storage repositories.
  • Optimize the overall performance of Citrix Hypervisor pools by implementing high availability and workload balancing.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

Virtualization Management using Red Hat CloudForms

 21 時間
Red Hat CloudForms is a centralized management platform for virtual machines, private cloud, and public cloud. It can integrate seamlessly with different platforms (Amazon EC2, Microsoft Azure, OpenStack, Red Hat OpenShift, VMware, etc.), making it ideal for hybrid environments. This instructor-led, live training (online or onsite) is aimed at sysadmins, DevOps, and developers who wish to use CloudForms to manage virtual infrastructures in a centralized interface. By the end of this training, participants will be able to:
  • Install and configure CloudForms on different virtual machine and cloud platforms (OpenStack, OpenShift, and VMware).
  • Create a centralized management interface for monitoring multiple clusters.
  • Enhance the security control and configuration policies of an entire infrastructure.
  • Transform a distributed virtual infrastructure into a unified hybrid environment.
  • Optimize workload performance and efficiency by automating orchestration and workflows.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • This course focuses on CloudForms, but other software platforms (OpenStack, Red Hat OpenShift, VMware, etc.) may be used. Please let us know if you have any specific requirements.
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

VMware PKS

 7 時間
VMware PKS (also known as "VMware Pivotal Container Service" and "VMware Essential PKS") is a Kubernetes platform for simplifying the deployment and operations of Kubernetes-based container services. VMware PKS uses deployment systems such as BOSH and Pivotal Ops Manager for seamless management of containerized infrastructures. The proprietary version of the software is "VMware Tanzu Kubernetes Grid Integrated Edition" (previously known as "VMware Enterprise PKS"). This course can be adapted for either the open source or proprietary version. This instructor-led, live training (online or onsite) is aimed at system administrators and developers who wish to install, configure, monitor, and manage Kubernetes-based environments through VMware PKS (formerly named Pivotal Container Service). By the end of this training, participants will be able to:
  • Install VMware PKS components and tools.
  • Deploy with BOSH and Pivotal Ops Manager.
  • Integrate PKS with VMware Harbor capabilities.
  • Manage and monitor infrastructures and applications using VMware tools.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

VMware Tanzu Fundamentals

 14 時間
VMware Tanzu is a suite of products and solutions for building, running, and managing containerized applications. It helps simplify the operations and lifecycle management of Kubernetes clusters. This instructor-led, live training (online or onsite) is aimed at DevOps engineers and developers who wish to use VMware Tanzu to build, deploy, and orchestrate cloud-native applications in a VSphere environment. By the end of this training, participants will be able to:
  • Set up the necessary environment to start managing Kubernetes clusters with VMWare Tanzu.
  • Understand the fundamentals of using VMWare portfolio of products to centralize management of clusters and applications.
  • Build, run, deploy, and orchestrate containerized applications using the VMWare Tanzu Kubernetes Grid service.
  • Learn how to manage and monitor the lifecycle of VMware Tanzu components in VSphere.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

Tinkerbell: Provisioning Bare Metal Servers

 7 時間
Tinkerbell is a workflow engine for provisioning bare metal servers. This workflow engine, together with five additional supporting components (microservices) make up Tinkerbell's provisioning stack. This instructor-led, live training (online or onsite) is aimed at engineers who wish to provision and manage bare metal servers in the cloud and on premise. By the end of this training, participants will be able to:
  • Install and configure the Tinkerbell provisioning stack.
  • Consistently deploy bare metal infrastructure using a CI/CD-like, declarative approach.
  • Provision and lifecycle heterogeneous physical infrastructure in the cloud or on premise.
  • Automate bare metal deployments at the hardware layer, regardless of processor architecture, storage configuration, networking environment, or operating system.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

GlusterFS for System Administrators

 21 時間
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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
続きを読む...

Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」

 4 時間
Summery:
  • Basics of IoT architecture and functions
  • “Things”, “Sensors”, Internet and the mapping between business functions of IoT
  • Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
  • IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
  • Basics of IoT device communication with cloud with MQTT.
  • Connecting IoT devices to AWS with MQTT (AWS IoT Core).
  • Connecting AWS IoT core with AWS Lambda function for computation and data storage.
  • Connecting Raspberry PI with AWS IoT core and simple data communication.
  • Alerts and events
  • Sensor calibration
続きを読む...

Last Updated:

お客様の声(25)

トレーナーはコンセプトをよく理解していました

Josheel - Verizon Connect

コース - Amazon Redshift

Machine Translated

練習の部分だ。

Radu - Ness Digital Engineering

コース - AWS: A Hands-on Introduction to Cloud Computing

Machine Translated

それはまさに私たちが求めていたものであり、参加した社内エンジニアのさまざまなプロフィールをカバーする非常にバランスのとれた量のコンテンツと演習でした。

Arturo Sánchez - INAIT SA

コース - Microsoft Azure Infrastructure and Deployment

Machine Translated

予想以上に内容を深く掘り下げた授業。私はその主題については熟練していませんが、プロセスがどのように機能するかについては理解できるようになりました。

Jon - U.S. Geological Survey

コース - AWS Technical Essentials

Machine Translated

I've got to try out resources that I've never used before.

Daniel - INIT GmbH

コース - Architecting Microsoft Azure Solutions

The Exercises

Khaled Altawallbeh - Accenture Industrial SS

コース - Azure Machine Learning (AML)

トレーナーがとてもわかりやすく説明してくれます。

Cosmin Simota - Serviciul de Telecomunicații Speciale

コース - Cloud computing essentials for managers / software engineers

Machine Translated

とてもフレンドリーで親切

Aktar Hossain - Unit4

コース - Building Microservices with Microsoft Azure Service Fabric (ASF)

Machine Translated

The trainer was extremely knowledgable and helpful. While walking through the exercises, I wasn't rushed and was allowed to make mistakes (to a point) and then help was given to correct to them where needed.

Tim Wilkes - Gamma

コース - OpenStack Security

Deep knowledge

Akhand Raj Jaiswal - BMW

コース - Advanced Terraform

The practical part, I was able to perform exercises and to test the Microsoft Azure features

Alex Bela - Continental Automotive Romania SRL

コース - Programming for IoT with Azure

Practical part and interaction with students

Piotr Madej - EY Global Services (Poland) Sp. z o.o.

コース - Azure DevOps Fundamentals

The training was more practical

Siphokazi Biyana - Vodacom SA

コース - Kubernetes on AWS

The trainer knew exactly what they were speaking about.

Madumetsa Msomi - BMW

コース - AWS DevOps Engineers

Trainer has good knowledge over the content and answered all my queries

Shri Kant - FMG

コース - Terraform for Managing Cloud Infrastructure

There were lots of hands on examples and the walkthroughs we carefully explained.

Jeffrey Ronay - Federal Reserve Bank of SF

コース - Terraform on AWS

コミュニケーション、経験からの知識、問題解決、

Marcin Walewski - Intel Technology Poland Sp. z o.o.

コース - OpenStack Bootcamp

Machine Translated

Very interactive.

Bart Lowagie - Roularta Media Group

コース - Terraform Fundamentals for Beginners

手動のサーバーレス セットアップ。また、sls Web コンソールの終了については知りませんでしたが、これは便利です。

Rafał Kucharski - The Software House sp. z o.o.

コース - Serverless Framework for Developers

Machine Translated

Intractive sessions

Jay Lavu - ZEBRA TECHNOLOGIES CORP

コース - Terraform on GCP (Google Cloud Platform)

All good, nothing to improve

Ievgen Vinchyk - GE Medical Systems Polska Sp. Z O.O.

コース - AWS Lambda for Developers

IOT applications

Palaniswamy Suresh Kumar - Makers' Academy

コース - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」

Learning about Kubernetes.

Felix Bautista - SGS GULF LIMITED ROHQ

コース - Kubernetes on Azure (AKS)

The varied topics

Daniel Lindh - Tele 2 Sverige AB

コース - OpenStack for Telecom

To get a better understanding about OpenStack.

Jan Gustafsson - Polystar OSIX

コース - OpenStack Architecture and Troubleshooting

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