Online or onsite, instructor-led 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 as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Austin onsite live Cloud Computing trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
TX, Austin - Littlefield Congress
106 E 6th St Suite 900, Austin, united states, 78701
The venue is located in the Littlefield Bvilding between the Capital One Cafe and the Due Forni Pizza and Wine.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (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.
In this instructor-led, live training in Austin, 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.
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.
The aim of this course is to get familiar with the OpenStack environment both from the operator and administrator side. After a brief introduction to cloud computing you will get your own OpenStack instance and perform hands-on operational and administrative actions. The course covers all the basic components of the OpenStack from general architecture to administering the cloud. The format of the course comprises around 75% of hands-on workshop in the real OpenStack environment.
The aim of this course is twofold - gain solid knowledge about OpenStack architecture and acquire profound troubleshooting skills. In the architecture part you will learn how to design the hardware for the public and private cloud, prepare high-availability control plane, choose proper size of the flavours, and safely overcommit cloud resources, among other things. Getting knowledge about the internals of Neutron (Networking Service) is another essential part in OpenStack architecture. Next the participant will be introduced into methods of troubleshooting issues in OpenStack clusters starting from general tips, through network troubleshooting up to caveats of main OpenStack services. Around 75% of the course comprises of hands-on workshops in the real OpenStack training environment.
The course is a comprehensive training on OpenStack. It starts with the introduction to the system, then through hands-on workshops it gives practical knowledge on managing private clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to give a strong background for further expansion and refinement of the OpenStack clouds. The course comprises all topics necessary to accomplish the Certificate OpenStack Administrator exam. 75% of the course is based on hands-on workshop in the real OpenStack training environment.
The course is a comprehensive training on OpenStack, extended version of the OpenStack Bootcamp course includes extra excercises, troubleshooting and sample examination tasks. Extended content is highlited in bold in the course outline. It starts with the introduction to the system, then through hands-on workshops it gives practical knowledge on managing private clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to give a strong background for further expansion and refinement of the OpenStack clouds. The course comprises all topics necessary to accomplish the Certificate OpenStack Administrator exam. 75% of the course is based on hands-on workshop in the real OpenStack training environment. After the course participants get all the materials and training environment for self-study and feature/troubleshooting excercises.
Customization options
The full course is to be meant for at least 5 days. It could be shortened if some of the topics are not relevant for the customer. In case the participants are beginners to OpenStack (slower pace) it is recommended to expand the course for 6 days or remove some advanced topics. The course can be also extended with 1 more day when OVN topics can be presented.
The course is a profound training on OpenStack networking. It starts with the introduction to OpenStack and its architecture, then clarifies core OpenStack projects as Identity service (Keystone), Image service (Glance), Compute service (Nova), Block storage (Cinder) in order to describe the surroundings of the networks in OpenStack and mainly focus on Networking project (Neutron). Virtual network infrastructure is described and based on the Open Virtual Network project, Open vSwitch and OpenFlow. The goal of the course is to understand basic operations and architecture of OpenStack as well as to familiarize participants with various networking technologies behind OpenStack, extending information about OVN and underlying flows, resources and tools.
Customization options
The training can be contracted to 2 days, focusing on core aspects relevant for the customer. The training can be also extended regarding administrative, design, networking and/or troubleshooting topics concerning OpenStack deployments. It is possible to describe other underlying SDN solutions like Linux Bridge or OvS.
The aim of this course is to get familiar with the OpenStack environment both from the operator and administrator side. After a brief introduction to cloud computing you will get your own OpenStack instance and perform hands-on operational and administrative actions. The course covers all the basic components of the OpenStack from general architecture to administering the cloud. The format of the course comprises around 90% of hands-on workshop in the real OpenStack environment.
The course cover all topics from Certificate OpenStack Administrator exam and prepares participant to the exam both theoretically and practically. Moreover programme of the course has been extended about topic that will allow the participant to better understand all OpenStack caveats required to pass the exam. At the end of the course every participant will have a chance to test themself during the mock COA exam.
This instructor-led, live training in Austin (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.
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)
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.
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.
This instructor-led, live training in Austin (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.
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.
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
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (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.
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.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (online or onsite) is aimed at DevOps engineers and developers who wish to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.
By the end of this training, participants will be able to:
Deploy, configure, and manage MOS and its components.
Access OpenStack APIs.
Perform common OpenStack operations tasks (backup, restore, etc.).
This instructor-led, live training in Austin (online or onsite) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure.
By the end of this training, participants will be able to:
Plan, deploy, and administer OpenStack as a private cloud.
Understand IaaS architecture and its implementation under OpenStack.
Replace physical routers and servers with virtual machines running in a private cloud.
Reduce infrastructure and maintenance costs through virtualization and cloud computing.
Expedite the rollout of new services to customers.
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.
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:
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 via OpenStack.
This is also great opportunity for IT managers to gain knowledge overview about possibilities which could be enabled by OpenStack.
Before you decide on OpenStack implementation by yourself, further investigation on the topic or hireing a 3rd party for the implementation, you could consider all pros and cons by attending on our course.
This topic is also avaliable as individual consultancy.
Course goal:
understand how Public Cloud differs from Private Cloud in the offering and management
gaining basic knowledge regarding OpenStack
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Testimonials (25)
video recording is made available to participants so that we can playback later.
Tan Lai Hock - GOVERNMENT TECHNOLOGY AGENCY
Course - Terraform Fundamentals for Beginners
Instructor interest in our dashboard to provide suggestions.
ELLEN CAROLINE SANTOS RIBEIRO - Aché Laboratório Farmacêuticos S.a
Course - FinOps
Machine Translated
The general topic itself
- Verizon Connect
Course - Amazon Redshift
The trainer is very well prepared, you have enough time to finish each assignment. Among the best trainings I have attended.
Ana - Ness Digital Engineering
Course - AWS Technical Essentials
I found new things.
Cristian
Course - OpenStack Security
I liked how well organized the trainer was and also how well the material was structured and presented.
Ana - Ness Digital Engineering
Course - AWS: A Hands-on Introduction to Cloud Computing
It was very much what we asked for—and quite a balanced amount of content and exercises that covered the different profiles of the engineers in the company who participated.
Arturo Sánchez - INAIT SA
Course - Microsoft Azure Infrastructure and Deployment
Classes were explained very objectively, calmly and substantively. Very good instructor.
Mateusz - Santander
Course - Advanced Terraform
Machine Translated
Hands on was great - good mix between hands on and presentations
Karl
Course - Terraform for Managing Cloud Infrastructure
It's a pity that some time was lost due to problems with virt machines on day 1.
Przemek - EduBroker Sp z oo
Machine Translated
The course, Trainer
Novat Adam - Tanzania Revenue Authority
Course - Architecting Microsoft Azure Solutions
The details and the presentation style.
Cristian Mititean - Accenture Industrial SS
Course - Azure Machine Learning (AML)
That we could do everything in practice by ourselves.
That our trainer had extensive knowledge and we could ask him anything and he always had the answer.
That I got some skills that are useful for developers.
Julia Gajtkowska - Demant Business Services Poland
Course - Azure DevOps Fundamentals
The docker ready-to-use environment image.
The balance between lectures and exercises.
Aurélien Petit - Prostep sp. z o. o.
Course - AWS DevOps Engineers
The trainer explains you very well.
Cosmin Simota - Serviciul de Telecomunicații Speciale
Course - Cloud computing essentials for managers / software engineers
I enjoyed the relaxed mood.
Also there was a very good balance between theoretical presentation and practical side.
Calin Berariu - Continental Automotive Romania SRL
Course - Programming for IoT with Azure
Sounds knowledgeable, and interacts with his leaners
Shuko Ndhlovu - BMW
Course - AWS Developer Associate
Concepts learnt and how to set up the k8 clusters
Sekgwa Ramatshosa - Vodacom SA
Course - Kubernetes on AWS
communication, knowledge from experience, solve problems,
Marcin Walewski - Intel Technology Poland Sp. z o.o.
Course - OpenStack Bootcamp
Free atmosphere and agenda flexibility
Marcin Prewo - GE Medical Systems Polska Sp. Z O.O.
Course - AWS Lambda for Developers
IOT applications
Palaniswamy Suresh Kumar - Makers' Academy
Course - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
The varied topics
Daniel Lindh - Tele 2 Sverige AB
Course - OpenStack for Telecom
Showing the different features of AWS and help the audience in case something doesn't work properly.
Issam IEBOUBEN - HSBC Service Delivery (Polska) Sp. z o o.
Course - AWS Architect Certification
The virtual desktop in a browser feature was kind of neat.
Mikael Karlsson - Polystar OSIX
Course - OpenStack Architecture and Troubleshooting
Jorge tries his best to help with our environment setups and other things we want to try.
JIMMY CHUN MING CHAN - THALES TRANSPORT & SECURITY (HONG-KONG) LIMITED
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