Introduction to Azure Training Course

About This Course

This course teaches students how to design and build services that retrieve local and remote data from diverse sources. Learners will also acquire the skills to develop and deploy services across hybrid environments, covering both on-premises servers and Microsoft Azure.

Audience Profile

Primary: .NET developers looking to learn service development and deployment in hybrid environments.
Secondary: .NET developers with Web application development experience who are interested in creating 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 within the .NET platform.
• Describe the Microsoft Azure cloud platform along with its compute, data, and application hosting offerings.
• Design and build a data-focused application using Visual Studio 2017 and Entity Framework Core.
• Design, implement, and consume HTTP services using ASP.NET Core.
• Extend HTTP services with ASP.NET Core.
• Host services in on-premises settings and within Microsoft Azure.
• Deploy services to on-premises and cloud environments, managing their interfaces and policies.
• Select appropriate data storage solutions, and manage caching, distribution, and synchronization of data.
• Monitor, log, and troubleshoot services.
• Explain claim-based identity concepts and standards, implementing authentication and authorization via Azure Active Directory.
• Create scalable service applications.

Acquire the essential expertise required to design Azure AI solutions by constructing a customer support chatbot powered by artificial intelligence on the Microsoft Azure platform. The curriculum covers language comprehension and the utilisation of pre-built AI capabilities within Azure Cognitive Services.

About This Course

This course provides an introduction to the core concepts of artificial intelligence (AI) and highlights the Microsoft Azure services available for developing AI solutions. It is not intended to train students to become professional data scientists or software developers; instead, it aims to raise awareness of typical AI workloads and equip learners with the ability to identify suitable Azure services for those tasks. Designed as a blended learning experience, the course combines instructor-led sessions with online resources on the Microsoft Learn platform (https://azure.com/learn). The practical exercises are derived from Learn modules, and students are encouraged to use Learn content as a reference to reinforce classroom learning and explore topics in greater depth.

Audience Profile

The Azure AI Fundamentals course is tailored for anyone eager to understand the types of solutions enabled by artificial intelligence (AI) and the Microsoft Azure services used to build them. Prior experience with Microsoft Azure is not required, but a basic familiarity with computer technology and the Internet is expected. Some course concepts require a fundamental understanding of mathematics, such as the ability to interpret charts. Since the course includes hands-on activities involving data manipulation and code execution, knowledge of basic programming principles will be beneficial.

At Course Completion

Upon 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 Nigeria (available online or onsite) is designed for intermediate to advanced-level professionals who aspire to build and deploy AI-powered cloud applications using Microsoft Azure.

By the end 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 students with the fundamental knowledge and skills needed to use PowerShell for administering and automating Windows server management. Learners will gain the ability to identify and construct the specific commands required to execute particular tasks. Additionally, students will learn to create scripts for advanced operations, such as automating repetitive processes and generating reports. This course provides prerequisite skills that support a wide range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. While the course does not focus on any single product, it uses Windows Server as the primary example since it serves as the common platform for these technologies.

This programme 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 solutions.

Designed for Azure Administrators, this course 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 necessary.

This course instructs Azure administrators on how to plan, deliver, and manage virtual desktop experiences and remote applications for any device within Azure. Through a blend of demonstrations and hands-on lab exercises, students will learn to deploy and optimize virtual desktop environments and applications on Azure Virtual Desktop, ensuring efficient operation in multi-session virtual settings.

This course equips Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable solutions. Key topics include virtualization, automation, networking, storage, identity management, security, data platforms, and application infrastructure. The curriculum outlines how decisions in each of these areas impact the overall solution architecture.

Audience profile

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

This course equips Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable cloud solutions. Key lessons cover design considerations for logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration strategies. Professionals in this role must make critical decisions across multiple areas to shape a cohesive overall design.

Skills Gained

• Design a governance solution.
• Design a compute solution.
• Design an application architecture.
• Design storage solutions, covering both non-relational and relational data.
• 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 Nigeria (online or onsite) targets beginner, intermediate, and advanced developers and technical professionals who wish to utilize Microsoft Azure to build, test, and deploy AI agents for business applications.

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

This instructor-led, live training in Nigeria (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 Nigeria (online or onsite) is tailored for security administrators who want 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 merges the capabilities of the Microsoft Bot Framework and Azure Functions to offer a robust platform for rapidly developing intelligent bots.

Through this instructor-led live training, attendees will learn how to efficiently create intelligent bots using Microsoft Azure.

Upon completing the training, participants will be able to:

Grasp the fundamental concepts underpinning intelligent bots.

Construct intelligent bots leveraging cloud-based applications.

Acquire hands-on expertise in the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implement established bot design patterns in practical, real-world situations.

Create and deploy their inaugural intelligent bot using Microsoft Azure.

Target 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 Nigeria (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.

Participants will achieve the following learning outcomes by the end of this training:

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize 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 optimize storage strategies.