Introduction to Azure Training Course

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.

Acquire the essential skills required to design an Azure AI solution by constructing a customer support chatbot using artificial intelligence on the Microsoft Azure platform. This includes leveraging language understanding and pre-built AI capabilities available within Azure Cognitive Services.

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 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 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 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 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.

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.

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.

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.

This instructor-led live training in Botswana (online or onsite) is designed for security administrators who wish to learn how to configure Azure cloud security to protect 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.

Azure Bot Service integrates the features of the Microsoft Bot Framework and Azure Functions, offering a robust platform for rapidly constructing intelligent bots.

In this instructor-led live training, attendees will discover how to efficiently develop intelligent bots using Microsoft Azure.

Upon completion of the training, attendees will be able to:

Grasp the fundamental concepts underpinning intelligent bots.

Construct intelligent bots leveraging cloud-based applications.

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

Implement recognised bot design patterns in practical scenarios.

Create and deploy their inaugural intelligent bot using Microsoft Azure.

Target Audience

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

Course Format

The training blends lectures and discussions with exercises, placing a strong emphasis on hands-on practice.

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.