Azure Cloud Security Training Course

This instructor-led, live training in South Africa (online or onsite) is tailored for intermediate to advanced professionals who aim to build and deploy AI-powered cloud applications using Microsoft Azure.

Upon completion of this training, participants will be able to:

• Create event-driven and serverless applications using Azure Functions.
• Administer Azure storage solutions and virtual machines.
• Deploy and scale web applications utilizing Azure App Service and Docker containers.
• Integrate AI, machine learning, and natural language processing capabilities via Azure AI Services.
• Harness GitHub Copilot to support AI-driven cloud application development.

This course equips students with the essential knowledge and skills required to utilise PowerShell for the administration and automation of Windows server environments. Learners will acquire the ability to identify and construct the necessary commands to execute specific tasks. Furthermore, students will learn how to develop scripts to handle advanced operations, such as automating repetitive processes and generating reports. The course provides prerequisite skills that support a wide array of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. Aligned with this objective, the course does not concentrate exclusively on any single product; however, Windows Server serves as the primary platform for demonstrating the techniques taught, as it is the common foundation for all these products.

This course equips IT Professionals with the skills to manage Azure subscriptions, secure identities, administer infrastructure, configure virtual networking, connect Azure to on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, deploy web apps and containers, back up and share data, and monitor solutions.

Designed for Azure Administrators, this training covers the management, implementation, and monitoring of identity, governance, storage, compute, and virtual networks within a cloud environment. Azure Administrators will learn to provision, size, monitor, and adjust resources as required.

This course empowers Azure administrators with the skills to plan, deliver, and manage virtual desktop experiences and remote applications across any device on Azure. Through a combination of demonstrations and hands-on labs, students will gain practical experience in deploying virtual desktops and applications on Azure Virtual Desktop, optimizing their performance in multi-session virtual environments.

This course empowers Solutions Architects to translate business requirements into secure, scalable, and reliable solutions. The curriculum covers virtualization, automation, networking, storage, identity, security, data platforms, and application infrastructure. Participants will gain insights into how decisions in each area impact the overall solution architecture.

Audience profile

This course is designed for IT Professionals with expertise in designing and implementing solutions on Microsoft Azure. Candidates should possess broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, budgeting, and governance. Azure Solution Architects utilise the Azure Portal and, as their proficiency grows, the Command Line Interface. Candidates must demonstrate expert-level skills in Azure administration and have experience with Azure development processes and DevOps practices.

This course equips Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable solutions. The curriculum covers design considerations for logging, cost analysis, authentication, authorisation, governance, security, storage, high availability, and migration. Professionals in this role must make critical decisions across multiple domains to shape a cohesive design strategy.

Skills gained

• 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.

This course equips IT security professionals with the essential knowledge and skills to implement security controls, maintain organizational security postures, and identify and remediate security vulnerabilities. It covers security for identity and access, platform protection, data and applications, and security operations.

Audience profile

This course is designed for Azure Security Engineers planning to take the associated certification exam or performing security tasks in their day-to-day jobs. It is also beneficial for engineers seeking to specialize in securing Azure-based digital platforms and playing an integral role in protecting an organisation'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 secrets.
• 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.

This instructor-led, live training in South Africa (online or on-site) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This training enables delegates to enhance their skills in designing Microsoft Azure solutions.

Upon completion, delegates will gain a clear understanding of Azure service features and capabilities, allowing them to identify trade-offs and make informed decisions when designing public and hybrid cloud solutions.

Throughout the course, participants will define suitable infrastructure and platform solutions to meet functional, operational, and deployment requirements across the solution lifecycle.

This instructor-led, live training in South Africa (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 instructor-led live training, offered South Africa (online or onsite), targets security administrators keen on learning how to configure Azure cloud security for workloads running on the platform.

By the conclusion 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.

Azure Bot Service unites the Microsoft Bot Framework with Azure Functions, offering a robust platform for the rapid development of intelligent bots.

Through this instructor-led live training, participants will discover efficient methods for developing intelligent bots using Microsoft Azure.

Upon completion of the training, participants will be equipped to:

Grasp the fundamental concepts underpinning intelligent bots.

Develop intelligent bots leveraging cloud-based applications.

Acquire practical expertise in the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implement established bot design patterns within real-world contexts.

Construct and deploy their inaugural intelligent bot using Microsoft Azure.

Intended Audience

This course is tailored for developers, enthusiasts, engineers, and IT professionals keen on bot development.

Course Format

The training integrates lectures and discussions with exercises, placing a strong emphasis on practical, hands-on experience.

This instructor-led, live training in South Africa (online or onsite) is designed for intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.

By the end of this training, participants will be able to:

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimise data storage and access for cost and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Develop solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and optimise storage strategies.

About This Course

In this course, learners will gain an understanding of database principles within a cloud setting, acquire fundamental skills in cloud data services, and establish a solid foundation in Microsoft Azure cloud data solutions. Participants will identify and describe essential data concepts, including relational, non-relational, big data, and analytics, while examining how these technologies are applied using Microsoft Azure. They will investigate the roles, tasks, and responsibilities associated with the data industry. Students will delve into relational data offerings, learning how to provision and deploy relational databases, as well as query relational data through Azure cloud solutions. The curriculum also covers non-relational data offerings, including the provisioning and deployment of non-relational databases and data stores on Azure. Learners will explore processing options for developing data analytics solutions in Azure, focusing on Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Additionally, students will understand what Power BI is, its core components, and how these elements function together.

Audience Profile

This course is designed for individuals seeking to learn the fundamentals of database concepts in a cloud environment, develop basic skills in cloud data services, and build foundational knowledge of cloud data services within Microsoft Azure.

At Course Completion

Upon 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