Online or onsite, instructor-led live Azure (Microsoft Azure) training courses demonstrate through interactive discussion and hands-on practice the fundamental concepts, components, and services of Microsoft Azure as participants step through the creation of a sample cloud application.
Azure 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 Azure training can be carried out locally on customer premises in Morocco or in NobleProg corporate training centers in Morocco.
NobleProg -- Your Local Training Provider
Testimonials
★★★★★
★★★★★
That the trainer was able to adapt to specific questions/situations
Inforit BV
Course: Kubernetes on Azure (AKS)
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)
Calmness and self-mastery of the lecturer and huge knowledge, transmitted in a simple and simple way, supported by practical examples. One of the better trainings I've participated in.
This instructor-led, live training in Morocco (online or onsite) is aimed at security administrators who wish to learn how to configure Azure cloud security to secure workloads running in Azure.
By the end of this training, participants will be able to:
Configure host and network security.
Configure Azure advanced security options.
Use Azure to secure cloud computing workloads.
Use endpoint protection services security against malware and viruses.
Secure container workloads that are running in Azure.
In this instructor-led, live training in Morocco (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.
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
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
This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution.
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.
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
This course provides students with the fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers. This course provides students the skills to identify and build the command they require to perform a specific task. In addition, students learn how to build scripts to accomplish advanced tasks such as automating repetitive tasks and generating reports. This course provides prerequisite skills supporting a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. In keeping with that goal, this course will not focus on any one of those products, although Windows Server, which is the common platform for all of those products, will serve as the example for the techniques this course teaches.
This course teaches Azure administrators how to plan, deliver, and manage virtual desktop experiences and remote apps, for any device, on Azure. Students will learn through a mix of demonstrations and hands-on lab experiences deploying virtual desktop experiences and apps on Azure Virtual Desktop and optimizing them to run in multi-session virtual environments.
This training permits delegates to improve their Microsoft Azure solution design skills.
After this training the delegate will understand the features and capabilities of Azure services, to be able to identify trade-offs, and make decisions for designing public and hybrid cloud solutions.
During training the appropriate infrastructure and platform solutions to meet the required functional, operational, and deployment requirements through the solution life-cycle will be defined.
In this instructor-led, live training in Morocco (onsite or remote) participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a sample cloud application.
By the end of this training, participants will be able to:
Understand the basics of Microsoft Azure
Understand the different Azure tools and services
Learn how to use Azure for building cloud applications
Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services The Azure Command Line Interface (CLI) is an open source, crossplatform command line tool that makes creating and managing Azure resources easier
In this instructorled, live training, participants will learn how to get started using the Azure CLI
By the end of this training, participants will be able to:
Understand the basics of using the Azure CLI
Learn techniques for managing resources using the Azure CLI
Apply their learnings to practical realworld problems involving virtual machines, resource management, storage accounts, web apps, and SQL databases
Automate their API using Azure service principals
Audience
Developers
IT Professionals
Technicians
DevOps E
Format of the course
Part lecture, part discussion, exercises and heavy handson practice
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The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots
In this instructorled, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure
By the end of this training, participants will be able to:
Learn the fundamentals of intelligent bots
Learn how to create intelligent bots using cloud applications
Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
Understand how to design bots using bot patterns
Develop their first intelligent bot using Microsoft Azure
Audience
Developers
Hobbyists
Engineers
IT Professionals
Format of the course
Part lecture, part discussion, exercises and heavy handson practice
.
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects
In this instructorled, live training, participants will learn how to develop IoT applications using Azure
By the end of this training, participants will be able to:
Understand the fundamentals of IoT architecture
Install and configure Azure IoT Suite
Learn the benefits of using Azure in programming IoT systems
Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
Build, test, deploy, and troubleshoot an IoT system using Azure
Audience
Developers
Engineers
Format of the course
Part lecture, part discussion, exercises and heavy handson practice
Note
To request a customized training for this course, please contact us to arrange
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This instructor-led, live training in Morocco (online or onsite) is aimed at security administrators who wish to secure Azure workloads.
By the end of this training, participants will be able to:
Administrate host security, network security, and more.
Set up storage and database security in Azure.
Implement security monitoring using Azure resources.
Prevent malicious cyber attacks on data and infrastructures.
This instructor-led, live training in Morocco (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis.
By the end of this training, participants will be able to:
Build machine learning models with zero programming experience.
Create predictive algorithms with Azure Machine Learning.
Deploy production ready machine learning algorithms.
Microsoft Azure Cloud offerings are the most comprehensive set of services w.r.t. AI, ML, DL
From Vision, Speech to Language to Conversational bots, Azure is empowering organizations to process their data to derive insights
This instructor-led, live training (online or onsite) is aimed at AI enthusiasts who wish to use Azure to build AI scenarios in the cloud
By the end of this training, participants will be able to:
Build Azure based AI scenarios.
Understand the end to end functioning of API based infering
Build conversational bots for business needs
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 more details or customized training for this course, please contact us to arrange.
This instructor-led, live training in Morocco (online or onsite) is aimed at machine learning engineers who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.
By the end of this training, participants will be able to:
Build reproducible workflows and machine learning models.
Manage the machine learning lifecycle.
Track and report model version history, assets, and more.
Deploy production ready machine learning models anywhere.
This instructor-led, live training in Morocco (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
Install and configure Kubernetes, Kubeflow and other needed software on Azure.
Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
Leverage other AWS managed services to extend an ML application.
This instructor-led, live training in Morocco (online or onsite) is aimed at engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without having to purchase software and hardware and without having to worry about maintenance and deployment.
By the end of this training, participants will be able to:
Write highly-accurate machine learning models using Python, R, or zero-code tools.
Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
Use Azures interactive workspace to collaboratively develop ML models.
Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
This instructor-led, live training in Morocco (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications faster than traditional development approaches.
By the end of this training, participants will be able to:
Understand the fundamental DevOps vocabulary and principles.
Install and configure the necessary Azure DevOps tools for software development.
Utilize Azure DevOps tools and services to continuously adapt to the market.
Build enterprise applications and evaluate current development processes upon Azure DevOps solutions.
Manage teams more efficiently and accelerate software deployment time.
Adopt DevOps development practices within the organization.
This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.
This course is for Azure Administrators. The Azure Administrator implements manages and monitors identity, governance, storage, compute, and virtual networks in a cloud environment. The Azure Administrator will provision, size, monitor, and adjust resources as appropriate.
This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each of these areas affect an overall solution.
Audience profile
This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes.
About This Course
In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
Audience Profile
The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.
At Course Completion
After completing this course, students will be able to:
Describe core data concepts in Azure
Explain concepts of relational data in Azure
Explain concepts of non-relational data in Azure
Identify components of a modern data warehouse in Azure
About This Course
In this course, students will learn how to design and develop services that access local and remote data from various sources. Students will also learn how to develop and deploy services to hybrid environments, including on-premises servers and Microsoft Azure.
Audience Profile
Primary: .NET developers who want to learn how to develop services and deploy them to hybrid environments.
Secondary: .NET developers with Web application development experience who are exploring developing new applications or porting existing applications to Microsoft Azure.
At Course Completion
After completing this course, students will be able to:
Describe the basic concepts of service development and data access strategies using the .NET platform.
Describe the Microsoft Azure cloud platform and its compute, data, and application hosting offerings.
Design and develop a data-centric application using Visual Studio 2017 and Entity Framework Core.
Design, implement, and consume HTTP services using ASP.NET Core.
Extend HTTP services using ASP.NET Core.
Host services on-premises and in Microsoft Azure.
Deploy services to both on-premises and cloud environments and manage the interface and policy for their services.
Choose a data storage solution, cache, distribute, and synchronize data.
Monitor, log, and troubleshoot services.
Describe claim-based identity concepts and standards, and implement authentication and authorization with Azure Active Directory.
Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.
About This Course
This two-day course is designed for AWS Sysops administrators interested in learning how Azure is different from AWS, and how Azure is administered. The workshops main topics are Azure Administration, Azure Networking, Azure Compute, Azure Storage, and Azure Governance. This workshop combines lecture with hands-on practical exercises and discussion/review. During the workshop students will build an end-to-end architecture that demonstrates the main features discussed in the course.
Audience Profile
The audience for this course is an AWS Sysops Administrator Associate or equivalent. This person has one to two years of experience in AWS deployment, management, and operations. Students taking this course are interested in learning how Azure is different from AWS, and how Azure is administered. Students may also be interested in taking the AZ-103 Microsoft Azure Administrator certification exam, or the AZ-900 Azure Fundamentals exam.
About This Course
A three-day course designed to teach AWS (Amazon Web Services) developers how to prepare end-to-end solutions in Microsoft Azure. In this course you will construct Azure App Service Web App solutions and Azure Functions, use blob or Cosmos DB storage in solutions, implement secure cloud solutions that include user authentication and authorization, implement API management, and develop event- and message-based solutions, and monitor, troubleshoot, and optimize your Azure solutions. You will learn how developers use Azure services, with additional focus on features and tasks that differ from AWS, and what that means for you as you develop applications that will be hosted by using Azure services.
Audience Profile
Students in this course are experienced AWS developers interested in Azure development.
About This Course
This course will enable the students to understand Azure SQL Database, and educate the students on what is required to migrate MySQL and PostgreSQL workloads to Azure SQL Database.
Audience Profile
The primary audience for this course is database developers who plan to migrate their MySQL or Postgres DB workloads to Azure SQL DB. The secondary audience for this course is MySQL/Postgres administrators to raise awareness of the features and benefits of Azure SQL DB.
At Course Completion
At the end of this course, the students will have learned:
Migrate on-premises MySQL to Azure SQL DB for MySQL
Migrate on-premises PostgreSQL to Azure SQL DB for PostgreSQL
This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. This course includes security for identity and access, platform protection, data and applications, and security operations.
Audience profile
This course is for Azure Security Engineers who are planning to take the associated certification exam, or who are performing security tasks in their day-to-day job. This course would also be helpful to an engineer that wants to specialize in providing security for Azure-based digital platforms and play an integral role in protecting an organization's data.
Skills gained
Implement enterprise governance strategies including role-based access control, Azure policies, and resource locks.
Implement an Azure AD infrastructure including users, groups, and multi-factor authentication.
Implement Azure AD Identity Protection including risk policies, conditional access, and access reviews.
Implement Azure AD Privileged Identity Management including Azure AD roles and Azure resources.
Implement Azure AD Connect including authentication methods and on-premises directory synchronization.
Implement perimeter security strategies including Azure Firewall.
Implement network security strategies including Network Security Groups and Application Security Groups.
Implement host security strategies including endpoint protection, remote access management, update management, and disk encryption.
Implement container security strategies including Azure Container Instances, Azure Container Registry, and Azure Kubernetes.
Implement Azure Key Vault including certificates, keys, and secretes.
Implement application security strategies including app registration, managed identities, and service endpoints.
Implement storage security strategies including shared access signatures, blob retention policies, and Azure Files authentication.
Implement database security strategies including authentication, data classification, dynamic data masking, and always encrypted.
Implement Azure Monitor including connected sources, log analytics, and alerts.
Implement Azure Security Center including policies, recommendations, and just in time virtual machine access.
Implement Azure Sentinel including workbooks, incidents, and playbooks.
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