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. Onsite live Cloud Computing training can be carried out locally on customer premises in Tunisia or in NobleProg corporate training centers in Tunisia.
NobleProg -- Your Local Training Provider
Testimonials
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
Course: AWS Architect Certification
Experience testing a real-world cluster was good and it was interesting to hear about Rena to's real experiences of operating OpenStack.
UKRI - UK Shared Business Services Ltd
Course: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
I mostly enjoyed the interaction with the trainer.
UKRI - UK Shared Business Services Ltd
Course: OpenStack Administration - Basic + Intermediate (Certified System Administrator for OpenStack)
I was benefit from the coverage of relevant topics and discussion/focus on needed subjects.
vasanth kumar - HGS - Hinduja Global Solutions
Course: AWS Architect Certification
Trainer is trying to answer to the additional requests, even if it involves to change his plans.
ORANGE
Course: Cloud computing essentials for managers / software engineers
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
Course: Developing for Cloud Foundry
I genuinely liked the new technology.
PCCW
Course: AWS Developer Associate
Practice parts
Instytut Lotnictwa
Course: AWS Developer Associate
The training is practical and it is good for understanding how to use AWS step by step
PCCW
Course: AWS Developer Associate
That the trainer was able to adapt to specific questions/situations
Inforit BV
Course: Kubernetes on Azure (AKS)
That she asked for feedback everyday to improve on the next day's lectures
Bacher Systems EDV GmbH
Course: Terraform Fundamentals for Beginners
That it was all new technology and offerings to myself. After being shown how quick and easy it is to set up certain services in AWS, I feel I could get a real benefit out of it for quick project and proposal prototyping.
MDA Systems Ltd.
Course: AWS Developer Associate
Fernando knew the products and how to use them. His willingness and friendliness to assist in the hands-on lab was great.
MDA Systems Ltd.
Course: AWS Developer Associate
There was a good general pass over what seemed like the most important parts of AWS. The instructor was open to questions and addressed areas of AWS that were not part of the outline based on our questions.
MDA Systems Ltd.
Course: AWS Developer Associate
I liked getting to understand the breadth of the services offered by AWS and gaining a better understanding of their pricing model for each of those services.
William Crowdis - MDA Systems Ltd.
Course: AWS Developer Associate
Thought it was a good overview of a lot of different services. Liked the detail on IAS.
MDA Systems Ltd.
Course: AWS Developer Associate
Explaining why it's financially viable to do these things
MDA Systems Ltd.
Course: AWS Developer Associate
It provided context for the things we do in AWS.
MDA Systems Ltd.
Course: AWS Developer Associate
Everything. I had played around with AWS before but just on my own personal time. The training really brought everything together, with real world examples and how many individual pieces can be bolted together for a applicable solution.
Matt Sartain - MDA Systems Ltd.
Course: AWS Developer Associate
Hands-on labs
MDA Systems Ltd.
Course: AWS Developer Associate
He knew what he was talking about
KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
Reda took onboard suggestions for changes to approaches and as a result being able to walk through the examples with explanations as to what was happening/expected/required etc was very beneficial and helped my understanding, thank you Reda.
KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
The exercises which we did during Friday morning, they were presented at a time when concentration was peak, with plenty of scope for guidance when required.
Roni Colling - KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
very knowledgeable
Tony Edogiawerie - KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
The trainer was knowledgeable in many related technical areas and displayed a real passion for the subject being taught
KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
It was fast paced, but that keeps us on our toes, I requested the material to be sent to me, and it has been, so I am now able to review this at a more measured pace, to fully digest the content
Rupert Hirst - KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
Mix of lectures and practical exercises
KnowledgePool
Course: Terraform for Managing Cloud Infrastructure
Training is good but require more time to practice test
Manu Megaravalli - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
I really liked the training. It was very informative and clear explanation of all topics during whole training
Venkatesh Varanasi - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
Since I am from network security the tropic interested me are network configuration and security management .As mentioned earlier 16 hours is not enough to cover all the topics , but the training is planned in such a way to provide an overview of how the cloud works .
Sanjith Cherian - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
To get a better understanding about OpenStack.
Jan Gustafsson - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
It was very easy communication during all the course, got answers and help in very pedagogical manner. The trainer is very experienced, I recommend him anyone who is interested in getting good knowledge in this very complicated area :-)
Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
The broad perspective of Openstack, no chance to dive in to deep to be able to keep schedule, more to where to get information from.
Jörgen Selegran - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
A good mix of hands on exercises and lectures!
Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
The flexibility to answer questions. Good pdf, good examples
Conny Vigström - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
Damian, is very skilled, I'm very pleased with everything, no complains, best training session I've participated in for a long time… It's very difficult to have a training course like this, totally remote, you did a great job, It went very well, there were no issues.
Peter Erlandsson - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
The virtual desktop in a browser feature was kind of neat.
Mikael Karlsson - Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
The network parts.
Polystar OSIX
Course: OpenStack Architecture and Troubleshooting
Despite the 2 days, trainer has performed well. I personally thanks to him.
Baris Aydogmusoglu - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
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 varied topics
Daniel Lindh - Tele 2 Sverige AB
Course: OpenStack for Telecom
I like that we before the training had some meetings to discuss what parts we should focus on, and what is interesting for us at Tele2.
Tele 2 Sverige AB
Course: OpenStack for Telecom
The paste, all the information I got.
Tele 2 Sverige AB
Course: OpenStack for Telecom
Playing around in a non production environment.
Tele 2 Sverige AB
Course: OpenStack for Telecom
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course: Kubernetes on Azure (AKS)
I would say that the trainor really explain well. I like his strategy on teaching. He ensures that we really learn before proceeding to the next topic.
SGS GULF LIMITED ROHQ
Course: Kubernetes on Azure (AKS)
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 trainer is good - willing to share, ask question and answer queries. The trainer's first hand sharing on the different types of IoT, different applications (e.g., in durians), the demonstration parts.
Makers' Academy
Course: Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
Great balance between theory and practice Ability to try every single subject in the real environment
GE Medical Systems Polska Sp. Z O.O.
Course: AWS Lambda for Developers
lab exercises
Global Knowledge Network Training Limited
Course: Terraform for Managing Cloud Infrastructure
Cloud Computing Course Outlines in Tunisia
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
In this instructor-led, live training in Tunisia (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on AKS.
- Deploy, manage and scale a Kubernetes cluster.
- Deploy containerized (Docker) applications on Azure.
- Migrate an existing Kubernetes environment from on-premise to AKS cloud.
- Integrate Kubernetes with third-party continuous integration (CI) software.
- Ensure high availability and disaster recovery in Kubernetes.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on AKS.
- Deploy, manage and scale a Kubernetes cluster.
- Deploy containerized (Docker) applications on Azure.
- Migrate an existing Kubernetes environment from on-premise to AKS cloud.
- Integrate Kubernetes with third-party continuous integration (CI) software.
- Ensure high availability and disaster recovery in Kubernetes.
14 hours
EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on EKS
- Migrate an existing Kubernetes environment from on-premise to AWS cloud
- Integrate Kubernetes with third-party continuous integration (CI) software
- Ensure high availability and disaster recovery in Kubernetes
- Understand and adopt the tools available to efficiently manage EKS
Audience
- Developers
- System Administrators
- DevOps Engineers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on EKS
- Migrate an existing Kubernetes environment from on-premise to AWS cloud
- Integrate Kubernetes with third-party continuous integration (CI) software
- Ensure high availability and disaster recovery in Kubernetes
- Understand and adopt the tools available to efficiently manage EKS
Audience
- Developers
- System Administrators
- DevOps Engineers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange.
14 hours
In this instructor-led, live training in Tunisia, 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.
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.
21 hours
This instructor-led, live training in Tunisia (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.
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.
21 hours
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
28 hours
Learn how to investigate, respond to, and hunt for threats using Microsoft Azure Sentinel, Azure Defender, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Azure Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst.
Audience Profile
The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Azure Sentinel, Azure Defender, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies.
Job role: Security Engineer
Preparation for exam: [SC-200](https://docs.microsoft.com/en-us/learn/certifications/exams/sc-200)
Features: none
Skills gained
- Explain how Microsoft Defender for Endpoint can remediate risks in your environment
- Create a Microsoft Defender for Endpoint environment
- Configure Attack Surface Reduction rules on Windows 10 devices
- Perform actions on a device using Microsoft Defender for Endpoint
- Investigate domains and IP addresses in Microsoft Defender for Endpoint
- Investigate user accounts in Microsoft Defender for Endpoint
- Configure alert settings in Microsoft Defender for Endpoint
- Explain how the threat landscape is evolving
- Conduct advanced hunting in Microsoft 365 Defender
- Manage incidents in Microsoft 365 Defender
- Explain how Microsoft Defender for Identity can remediate risks in your environment
- Investigate DLP alerts in Microsoft Cloud App Security
- Explain the types of actions you can take on an insider risk management case
- Configure auto-provisioning in Azure Defender
- Remediate alerts in Azure Defender
- Construct KQL statements
- Filter searches based on event time, severity, domain, and other relevant data using KQL
- Extract data from unstructured string fields using KQL
- Manage an Azure Sentinel workspace
- Use KQL to access the watchlist in Azure Sentinel
- Manage threat indicators in Azure Sentinel
- Explain the Common Event Format and Syslog connector differences in Azure Sentinel
- Connect Azure Windows Virtual Machines to Azure Sentinel
- Configure Log Analytics agent to collect Sysmon events
- Create new analytics rules and queries using the analytics rule wizard
- Create a playbook to automate an incident response
- Use queries to hunt for threats
- Observe threats over time with livestream
Audience Profile
The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Azure Sentinel, Azure Defender, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies.
Job role: Security Engineer
Preparation for exam: [SC-200](https://docs.microsoft.com/en-us/learn/certifications/exams/sc-200)
Features: none
Skills gained
- Explain how Microsoft Defender for Endpoint can remediate risks in your environment
- Create a Microsoft Defender for Endpoint environment
- Configure Attack Surface Reduction rules on Windows 10 devices
- Perform actions on a device using Microsoft Defender for Endpoint
- Investigate domains and IP addresses in Microsoft Defender for Endpoint
- Investigate user accounts in Microsoft Defender for Endpoint
- Configure alert settings in Microsoft Defender for Endpoint
- Explain how the threat landscape is evolving
- Conduct advanced hunting in Microsoft 365 Defender
- Manage incidents in Microsoft 365 Defender
- Explain how Microsoft Defender for Identity can remediate risks in your environment
- Investigate DLP alerts in Microsoft Cloud App Security
- Explain the types of actions you can take on an insider risk management case
- Configure auto-provisioning in Azure Defender
- Remediate alerts in Azure Defender
- Construct KQL statements
- Filter searches based on event time, severity, domain, and other relevant data using KQL
- Extract data from unstructured string fields using KQL
- Manage an Azure Sentinel workspace
- Use KQL to access the watchlist in Azure Sentinel
- Manage threat indicators in Azure Sentinel
- Explain the Common Event Format and Syslog connector differences in Azure Sentinel
- Connect Azure Windows Virtual Machines to Azure Sentinel
- Configure Log Analytics agent to collect Sysmon events
- Create new analytics rules and queries using the analytics rule wizard
- Create a playbook to automate an incident response
- Use queries to hunt for threats
- Observe threats over time with livestream
28 hours
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.
Audience Profile
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
Audience Profile
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
35 hours
This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.
Audience profile
Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.
Job role: DevOps Engineer
Preparation for exam: AZ-400
Skills gained
- Plan for the transformation with shared goals and timelines
- Select a project and identify project metrics and Key Performance Indicators (KPI's)
- Create a team and agile organizational structure
- Design a tool integration strategy
- Design a license management strategy (e.g. Azure DevOps and GitHub users)
- Design a strategy for end-to-end traceability from work items to working software
- Design an authentication and access strategy
- Design a strategy for integrating on-premises and cloud resources
- Describe the benefits of using Source Control
- Describe Azure Repos and GitHub
- Migrate from TFVC to Git
- Manage code quality including technical debt SonarCloud, and other tooling solutions
- Build organizational knowledge on code quality
- Explain how to structure Git repos
- Describe Git branching workflows
- Leverage pull requests for collaboration and code reviews
- Leverage Git hooks for automation
- Use Git to foster inner source across the organization
- Explain the role of Azure Pipelines and its components
- Configure Agents for use in Azure Pipelines
- Explain why continuous integration matters
- Implement continuous integration using Azure Pipelines
- Define Site Reliability Engineering
- Design processes to measure end-user satisfaction and analyze user feedback
- Design processes to automate application analytics
- Manage alerts and reduce meaningless and non-actionable alerts
- Carry out blameless retrospectives and create a just culture
- Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
- Implement compliance and security in your application infrastructure
- Describe the potential challenges with integrating open-source software
- Inspect open-source software packages for security and license compliance
- Manage organizational security and compliance policies
- Integrate license and vulnerability scans into build and deployment pipelines
- Configure build pipelines to access package security and license ratings
Audience profile
Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.
Job role: DevOps Engineer
Preparation for exam: AZ-400
Skills gained
- Plan for the transformation with shared goals and timelines
- Select a project and identify project metrics and Key Performance Indicators (KPI's)
- Create a team and agile organizational structure
- Design a tool integration strategy
- Design a license management strategy (e.g. Azure DevOps and GitHub users)
- Design a strategy for end-to-end traceability from work items to working software
- Design an authentication and access strategy
- Design a strategy for integrating on-premises and cloud resources
- Describe the benefits of using Source Control
- Describe Azure Repos and GitHub
- Migrate from TFVC to Git
- Manage code quality including technical debt SonarCloud, and other tooling solutions
- Build organizational knowledge on code quality
- Explain how to structure Git repos
- Describe Git branching workflows
- Leverage pull requests for collaboration and code reviews
- Leverage Git hooks for automation
- Use Git to foster inner source across the organization
- Explain the role of Azure Pipelines and its components
- Configure Agents for use in Azure Pipelines
- Explain why continuous integration matters
- Implement continuous integration using Azure Pipelines
- Define Site Reliability Engineering
- Design processes to measure end-user satisfaction and analyze user feedback
- Design processes to automate application analytics
- Manage alerts and reduce meaningless and non-actionable alerts
- Carry out blameless retrospectives and create a just culture
- Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
- Implement compliance and security in your application infrastructure
- Describe the potential challenges with integrating open-source software
- Inspect open-source software packages for security and license compliance
- Manage organizational security and compliance policies
- Integrate license and vulnerability scans into build and deployment pipelines
- Configure build pipelines to access package security and license ratings
7 hours
This course has been created for people who want to understand how to benefit from cloud computing. It uses Amazon EC2 example, but can be tailored to other providers.
21 hours
Audience
IT architects, mid-level IT managers, IT consultants
Format of the course
Currently 100% lectures.
IT architects, mid-level IT managers, IT consultants
Format of the course
Currently 100% lectures.
35 hours
Day 1 - provides end-to-end coverage of fundamental cloud computing topics as they relate to both technology and business. The module is divided into a series of sections, each of which is accompanied by a hands-on exercise.
Day 2 - explores technology-related topics that relate to cloud computing platforms. It does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that address cloud service architecture, cloud security threats and technologies, virtualization and data processing.
Day 3 - provides a technical insight into foundational cloud computing platforms. Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) environments are explored as compound patterns, comprised of unique and shared building blocks. This module is structured as a guided tour through these architectural layers, describing primary components, highlighting shared components and explaining how building blocks can be assembled and implemented via cloud computing mechanisms and practices
Day 4 - builds upon Day 3 to provide a deep dive into elastic, resilient and multitenant technology architectures, as well as specialized solution architectures, such as cloud bursting and cloud balancing. Through the study of architectural mechanisms, industry technologies and design patterns, both core and extended components are described that combine to realize elasticity, resiliency and multitenancy as primary characteristics of cloud platforms. By leveraging these native and enhanced scalability and failover-related feature-sets, specialized solution architectures are described to enable bursting between clouds and on-premise and cloud environments, as well as the balancing of runtime loads across clouds for performance and failover purposes.
Day 5 - presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered previously.
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.
35 hours
This course is created for people who face choices which solution to choose for a specific problem. IT Managers, Solution Architects, Test Managers, System Administrators and Developers can benefit from this course by understanding the benefits and costs of available Cloud/SaaS/Iaas solutions.
7 hours
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
- 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
7 hours
OSv is an open source operating system for the cloud.
In this instructor-led, live training, participants will learn how OSv compares to conventional virtualization technologies and approaches as they set up an instance of OSv in a lab environment.
By the end of this training, participants will be able to:
- Run OSv on minimal memory and cpu overhead, compared to traditional OSs
- Install, configure and troubleshoot OSv
- Reduce the size and number of running OS instances
- Run large applications such as Cassandra on OSv
Audience
- System administrators
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
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
21 hours
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)
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)
21 hours
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.
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.
21 hours
This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn how to design, build and deploy applications using a cloud native strategy that includes continuous integration, container engines and orchestrators.
By the end of this training, participants will be able to:
- Select, set up and manage the right tools for enabling a cloud native strategy.
- Optimize the speed, scalability and costs of deploying enterprise cloud applications.
- Create nodes that are self healing and multi-tenant.
- Scale the number of machines to tens of thousands of nodes.
- Communicate effectively with business stakeholders on cloud strategy
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.
By the end of this training, participants will be able to:
- Select, set up and manage the right tools for enabling a cloud native strategy.
- Optimize the speed, scalability and costs of deploying enterprise cloud applications.
- Create nodes that are self healing and multi-tenant.
- Scale the number of machines to tens of thousands of nodes.
- Communicate effectively with business stakeholders on cloud strategy
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.
7 hours
This instructor-led, live training (online or onsite) is aimed at managers who wish to understand and develop a cloud native strategy for their organization's data and applications.
By the end of this training, participants will be able to:
- Begin the process of moving their business to the cloud.
- Bridge the gap between traditional IT and cloud-native applications.
- Understand the technology components needed to develop a cloud platform.
- Communicate effectively with developers and operations teams on a cloud strategy.
Format of the Course
- Interactive lecture and discussion.
- Numerous exercises and activities.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
By the end of this training, participants will be able to:
- Begin the process of moving their business to the cloud.
- Bridge the gap between traditional IT and cloud-native applications.
- Understand the technology components needed to develop a cloud platform.
- Communicate effectively with developers and operations teams on a cloud strategy.
Format of the Course
- Interactive lecture and discussion.
- Numerous exercises and activities.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
35 hours
This instructor-led, live training in Tunisia (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.
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.
14 hours
This instructor-led, live training in Tunisia (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.
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.
14 hours
This instructor-led, live training in Tunisia (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.
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.
35 hours
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.
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.
21 hours
This instructor-led, live training in Tunisia (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.
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.
4 hours
This instructor-led, live online training is delivered as a micro learning event. Aimed at participants who wish to learning the specific aspects of Storage within Amazon Web Services
By the end of the session, participants will be able to:
- Describe different data sources
- Identify differences between EBS, EFS, Attached Volumes, S3, Glacier
- Classify databases as instructured and unstructured and describe differences between RDS, Aurora, DynamoDB and Redshift
- Describe the functionality of Data Migration Service and IAM
Format of the Course
- Micro learning
- Intensive and focused training on the core subject
- Interactive lecture and discussion.
- Hands-on implementation in a live-lab environmen
By the end of the session, participants will be able to:
- Describe different data sources
- Identify differences between EBS, EFS, Attached Volumes, S3, Glacier
- Classify databases as instructured and unstructured and describe differences between RDS, Aurora, DynamoDB and Redshift
- Describe the functionality of Data Migration Service and IAM
Format of the Course
- Micro learning
- Intensive and focused training on the core subject
- Interactive lecture and discussion.
- Hands-on implementation in a live-lab environmen
14 hours
This instructor-led, live training in Tunisia (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.
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.
7 hours
This instructor-led, live training in Tunisia (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.
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.
14 hours
The course helps to understand and implement cloud infrastructure based on OpenStack. The participant learns the architecture and capabilities of OpenStack and a variety of installation scenarios.
21 hours
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.
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.
7 hours
The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud 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
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
14 hours
The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud.
Course goal:
- gaining expert knowledge regarding OpenStack architecture design
Course goal:
- gaining expert knowledge regarding OpenStack architecture design
Last Updated:
Upcoming Cloud Computing Courses in Tunisia
AI-100: Designing & Implementing Azure AI Solutions- AI-100T01-A
21-02-2022 09:30
North Urban Centre
28 hours
Kubeflow on Azure
06-03-2022 09:30
North Urban Centre
28 hours
MLOps for Azure Machine Learning
15-03-2022 09:30
North Urban Centre
14 hours
Azure DevOps Fundamentals
10-04-2022 09:30
North Urban Centre
14 hours
Azure Machine Learning (AML)
12-04-2022 09:30
North Urban Centre
21 hours
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