Azure Training in Botswana

This instructor-led, live training in Botswana (online or onsite) is designed for intermediate-level Java developers, software engineers, and cloud enthusiasts eager to leverage Azure OpenAI to build intelligent applications.

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

• Grasp the core principles of Generative AI and its practical applications.
• Configure and manage Azure OpenAI services.
• Integrate OpenAI models into Java applications.
• Deploy AI-driven features within web applications.

This instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level cloud engineers and IT professionals who wish to use Terraform to automate the deployment, management, and scaling of infrastructure on the Azure cloud platform.

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

• Understand the basics of Terraform and its benefits in infrastructure as code.
• Set up and configure Terraform for Azure.
• Develop, test, and deploy Terraform configuration files for various Azure services.
• Use Terraform for managing and scaling Azure resources.
• Implement best practices for Terraform state management and version control.
• Integrate Terraform with Azure DevOps for automated deployments.
• Create reusable Terraform modules for consistent resource provisioning.
• Utilize advanced features of Terraform for complex infrastructure deployments.

This instructor-led, live training in Botswana (online or on-site) caters to intermediate to advanced professionals seeking to build and deploy AI-powered cloud applications using Microsoft Azure.

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

• Develop event-driven and serverless applications using Azure Functions.
• Manage Azure storage solutions and virtual machines.
• Deploy and scale web applications using Azure App Service and Docker containers.
• Integrate AI, machine learning, and natural language processing using Azure AI Services.
• Leverage GitHub Copilot to assist in AI-driven cloud application development.

This instructor-led, live training in Botswana (online or onsite) is designed for intermediate-level data engineers who aim to become proficient in utilizing Azure Synapse Analytics for a wide array of data processing, analytics, and visualization tasks.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led live training in Botswana (online or on-site) is designed for intermediate-level data engineers aiming to learn how to utilize Azure Data Lake Storage Gen2 for effective data analytics solutions.

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

• Comprehend the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize data storage and access to balance 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 optimize storage strategies.

In this instructor-led, live training in Botswana (online or on-site), 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.

This course equips Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable solutions. Lessons cover design considerations related to logging, cost analysis, authentication and authorisation, governance, security, storage, high availability, and migration. In this role, professionals must make decisions across multiple areas that influence an overall design solution.

Acquire the skills to investigate, respond to, and hunt for cyber threats using Microsoft Azure Sentinel, Azure Defender, and Microsoft 365 Defender. This course teaches you how to mitigate cyber threats by leveraging these technologies. Specifically, you will learn to configure and utilise Azure Sentinel, as well as employ the Kusto Query Language (KQL) for detection, analysis, and reporting. This course is tailored for professionals in Security Operations roles and assists learners in preparing for the SC-200: Microsoft Security Operations Analyst exam.

Audience Profile

A Microsoft Security Operations Analyst works with organizational stakeholders to secure the entity's information technology systems. Their objective is to reduce organizational risk by rapidly remediating active attacks, advising on enhancements to threat protection practices, and referring policy violations to relevant stakeholders. Key responsibilities include threat management, monitoring, and response across various security solutions. The role primarily involves investigating, responding to, and hunting for threats using Microsoft Azure Sentinel, Azure Defender, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst relies on the operational outputs of these tools, they play a critical stakeholder role in configuring and deploying 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
• Use queries to hunt for threats
• Observe threats over time with livestream

This course equips learners with the essential knowledge and competencies required to utilise PowerShell for the administration and automation of Windows server environments. Participants will develop the ability to identify and construct the necessary commands to execute specific tasks. Furthermore, students will acquire the skills to develop scripts that facilitate advanced operations, such as automating routine processes and producing reports. The content provides prerequisite capabilities 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 on any single product; however, Windows Server serves as the exemplar for teaching these techniques, as it functions as the common platform for all the aforementioned products.

This course instructs Azure administrators on how to plan, deliver, and manage virtual desktop experiences and remote applications for any device on Azure. Through a combination of demonstrations and hands-on labs, students will learn to deploy virtual desktop experiences and apps on Azure Virtual Desktop, optimizing them for multi-session virtual environments.

About This Course

In this course, participants will acquire the skills to design and build services that retrieve data from both local and remote sources. Additionally, students will learn how to develop and deploy services within hybrid settings, encompassing on-premises servers and Microsoft Azure.

Audience Profile

Primary: .NET developers seeking to understand how to create services and deploy them to hybrid environments.
Secondary: .NET developers with experience in Web application development who are considering the development of new applications or migrating existing ones to Microsoft Azure.

At Course Completion

Upon finishing this course, students will be able to:

• Explain the fundamental concepts of service development and data access strategies utilising the .NET platform.
• Describe the Microsoft Azure cloud platform, including its compute, data, and application hosting capabilities.
• Design and develop a data-driven 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 interfaces and policies for these services.
• Select appropriate data storage solutions, and manage data caching, distribution, and synchronization.
• Monitor, log, and troubleshoot services.
• Explain claim-based identity concepts and standards, and implement authentication and authorisation with Azure Active Directory.
• Create scalable service applications.

About This Course

This course introduces fundamental concepts relating to artificial intelligence (AI), alongside the services available in Microsoft Azure that can be leveraged to build AI solutions. The course is not designed to train students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services that support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The practical exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in class and to explore topics in more depth.

Audience Profile

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You do not need to have any prior experience using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes practical activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

At Course Completion

After completing this course, you will be able to:

• Describe Artificial Intelligence workloads and considerations
• Describe fundamental principles of machine learning on Azure
• Describe features of computer vision workloads on Azure
• Describe features of Natural Language Processing (NLP) workloads on Azure
• Describe features of conversational AI workloads on Azure

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

Designed for Azure Administrators, this training covers the implementation, management, 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 programme equips Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable solutions. Key topics cover virtualisation, automation, networking, storage, identity, security, data platforms, and application infrastructure. Participants will explore how decisions in each of these areas impact the overall solution architecture.

Audience profile

This course is designed for IT Professionals who possess expertise in designing and implementing solutions on Microsoft Azure. Ideal candidates have broad knowledge of IT operations, encompassing networking, virtualisation, identity, security, business continuity, disaster recovery, data platforms, budgeting, and governance. While Azure Solution Architects primarily utilise the Azure Portal, they also employ the Command Line Interface as their proficiency grows. Candidates must demonstrate expert-level skills in Azure administration, along with practical experience in Azure development and DevOps processes.

Skills Gained

• Design a governance solution.
• Design a compute solution.
• Design an application architecture.
• Design storage, including non-relational and relational options.
• Design data integration solutions.
• Design authentication, authorisation, and identity solutions.
• Design network solutions.
• Design backup and disaster recovery solutions.
• Design monitoring solutions.
• Design migration solutions.

This instructor-led, live training in Botswana (online or onsite) targets developers and technical professionals at beginner, intermediate, and advanced levels who wish to utilise Microsoft Azure to build, test, and deploy AI agents for business applications.

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

This instructor-led, live training in Botswana (online or onsite) is designed for DevOps engineers, developers, and project managers who wish to utilise Azure DevOps to build and deploy optimised 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.
• Utilise 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.

About This Course

This course equips students with a solid understanding of Azure SQL Database and educates them on the requirements for migrating MySQL and PostgreSQL workloads to Azure SQL Database.

Audience Profile

The primary audience for this course comprises database developers who intend to migrate their MySQL or Postgres DB workloads to Azure SQL DB. The secondary audience includes MySQL/Postgres administrators seeking to raise awareness of the features and benefits of Azure SQL DB.

At Course Completion

Upon finishing this course, students will have learned how to:

• Migrate on-premises MySQL to Azure SQL DB for MySQL
• Migrate on-premises PostgreSQL to Azure SQL DB for PostgreSQL

About This Course

This course introduces students to the core principles of database concepts within a cloud setting, provides essential skills in cloud data services, and establishes a solid foundation for understanding cloud data services in Microsoft Azure. Participants will identify and describe key data concepts, including relational, non-relational, big data, and analytics, while exploring their implementation via Microsoft Azure. The curriculum also covers the roles, tasks, and responsibilities associated with the data sector. Students will examine relational data offerings, including the provisioning and deployment of relational databases, as well as querying relational data through cloud solutions in Azure. Furthermore, they will investigate non-relational data offerings, covering the provisioning and deployment of non-relational databases and data stores in Azure. The course explores available processing options for developing data analytics solutions in Azure, with a focus on Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Finally, students will gain an understanding of Power BI, its fundamental components, and how these elements interact.

Audience Profile

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

At Course Completion

Upon finishing 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 intensive three-day programme is designed mainly for IT professionals who possess hands-on experience in managing on-premises Windows Server environments. Its goal is to equip these professionals with the skills needed to plan, deploy, and manage environments that incorporate Azure IaaS-hosted Windows Server-based workloads. The curriculum explores how to harness the hybrid capabilities of Azure, migrate both virtual and physical server workloads to Azure IaaS, and effectively manage and secure Azure VMs running Windows Server 2019.