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 South Africa or in NobleProg corporate training centers in South Africa.
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.
Tomasz Czajka - Unit4 Polska sp. z o.o.
Course: Introduction to Azure
Machine Translated
Microsoft Azure Subcategories in South Africa
Azure Course Outlines in South Africa
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.
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
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
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
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
In this instructor-led, live training, participants will learn how to get started using the Azure CLI.
By the end of this training, participants will be able to:
- Understand the basics of using the Azure CLI
- Learn techniques for managing resources using the Azure CLI
- Apply their learnings to practical real-world problems involving virtual machines, resource management, storage accounts, web apps, and SQL databases
- Automate their API using Azure service principals
Audience
- Developers
- IT Professionals
- Technicians
- DevOps E
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure
By the end of this training, participants will be able to:
- Learn the fundamentals of intelligent bots
- Learn how to create intelligent bots using cloud applications
- Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
- Understand how to design bots using bot patterns
- Develop their first intelligent bot using Microsoft Azure
Audience
- Developers
- Hobbyists
- Engineers
- IT Professionals
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.
By the end of this training, participants will be able to:
- Understand the fundamentals of IoT architecture
- Install and configure Azure IoT Suite
- Learn the benefits of using Azure in programming IoT systems
- Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
- Build, test, deploy, and troubleshoot an IoT system using Azure
Audience
- Developers
- Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
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.
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.
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.
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.
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.
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.
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 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.
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.
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
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.
- Design a governance solution.
- Design a compute solution.
- Design an application architecture.
- Design storage, non-relational and relational.
- Design data integration solutions.
- Design authentication, authorization, and identity solutions.
- Design network solutions.
- Design backup and disaster recovery solutions.
- Design monitoring solutions.
- Design migration solutions.
In this instructor-led, live training, participants will learn how to build microservices on Microsoft Azure Service Fabric (ASF).
By the end of this training, participants will be able to:
- Use ASF as a platform for building and managing microservices
- Understand key microservices programming concepts and models.
- Create a cluster in Azure
- Deploy microservices on premises or in the cloud
- Debug and troubleshoot a live microservice application
Audience
- Developers
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.
- To learn more about Service Fabrice, please see: https://github.com/Microsoft/service-fabric
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