Developing Intelligent Bots with Azure 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 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 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.

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

This instructor-led, live training in South Africa (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to harness the power of Azure OpenAI to create intelligent applications.

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

• Understand the principles of Generative AI and its applications.
• Set up and manage an Azure OpenAI service.
• Integrate OpenAI's models into Java applications.
• Deploy AI-powered features within web applications.

In this instructor-led, live training in South Africa (onsite or remote), participants will explore the fundamental concepts, components, and services of Microsoft Azure while walking 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

In this instructor-led, live training in South Africa (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 containerised (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.