AZ-305T00: Designing Microsoft Azure Infrastructure Solutions Training Course

About This Course

In this course, participants will acquire the skills to design and develop services that interact with local and remote data from diverse sources. Additionally, learners will master the process of deploying services to hybrid environments, encompassing both on-premises servers and Microsoft Azure.

Audience Profile

Primary: .NET developers seeking to learn how to create services and deploy them within hybrid environments.
Secondary: .NET developers with prior web application development experience who are interested in building new applications or migrating existing ones to Microsoft Azure.

At Course Completion

Upon finishing this course, students will be equipped to:

• Explain the fundamental concepts of service development and data access strategies using the .NET platform.
• Describe the Microsoft Azure cloud platform, along with its compute, data, and application hosting offerings.
• Design and develop data-centric applications utilizing Visual Studio 2017 and Entity Framework Core.
• Design, implement, and consume HTTP services using ASP.NET Core.
• Extend HTTP services via ASP.NET Core.
• Host services both on-premises and within Microsoft Azure.
• Deploy services to on-premises and cloud environments, and manage their service interfaces and policies.
• Select appropriate data storage solutions, and manage data caching, distribution, and synchronization.
• Monitor, log, and troubleshoot services.
• Describe claim-based identity concepts and standards, and implement authentication and authorization using Azure Active Directory.
• Create scalable service applications.

About This Course

This course provides an introduction to the core concepts of artificial intelligence (AI) and the Microsoft Azure services available for building AI solutions. The program is not intended to train students to become professional data scientists or software developers; instead, it aims to build awareness of common AI workloads and the ability to identify appropriate Azure services to support them. Designed as a blended learning experience, the course combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises are based on 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 designed for anyone interested in understanding the types of solutions that artificial intelligence (AI) enables, and the Microsoft Azure services available to create them. No prior experience with Microsoft Azure is required, though a basic familiarity with computer technology and the Internet is assumed. Some concepts covered require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities involving data work and code execution, 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 live, instructor-led training in Kenya (online or onsite) is designed for intermediate to advanced professionals aiming 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 learners with the essential knowledge and skills required to administer and automate Windows server environments using PowerShell. Participants will develop the ability to identify and construct the necessary commands to execute specific tasks. Furthermore, students will learn to build scripts for advanced operations, such as automating routine activities and generating reports. The course provides prerequisite skills applicable to a wide array of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. Aligning with this objective, the course does not concentrate on a single product; however, Windows Server serves as the primary example platform for the techniques taught, as it is the common foundation for these 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 sites, manage network traffic, implement storage solutions, create and scale virtual machines, deploy web apps and containers, back up and share data, and monitor your solutions.

This course is designed for Azure Administrators. The Azure Administrator manages, implements, and monitors identity, governance, storage, compute, and virtual networks within a cloud environment. The Azure Administrator provisions, sizes, monitors, and adjusts resources as necessary.

This course equips Azure administrators with the skills 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 deploy virtual desktop environments and applications on Azure Virtual Desktop, learning to optimize them for multi-session virtual environments.

This course equips Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable cloud solutions. Key topics include virtualization, automation, networking, storage, identity management, security, data platforms, and application infrastructure. The curriculum explains 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, covering networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, budgeting, and governance. Azure Solution Architects utilize the Azure Portal and, as their proficiency grows, the Command Line Interface. Candidates must demonstrate expert-level skills in Azure administration, along with experience in Azure development and DevOps processes.

This course equips Solutions Architects with the skills to transform business requirements into secure, scalable, and reliable technical solutions. The curriculum covers critical design considerations such as logging, cost management, authentication, authorization, governance, security, storage, high availability, and migration strategies. Professionals in this role must make informed decisions across multiple domains to shape an effective overall design.

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level, intermediate-level, and 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 Kenya (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.

Azure Bot Service unites the strengths of the Microsoft Bot Framework and Azure Functions, delivering a robust platform for rapidly constructing smart bots.

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

Upon completing the training, participants will be able to:

Grasp the fundamental concepts underlying smart bots.

Construct smart bots using cloud-based applications.

Acquire practical insights into the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implement proven bot design patterns in real-world situations.

Build and deploy their first smart 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 blends lectures and discussions with exercises, placing a strong emphasis on hands-on practice.

This instructor-led live training in Kenya (online or on-site) is designed for intermediate-level data engineers who aim to leverage 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.
• 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.

About This Course

This course equips learners with a comprehensive understanding of Azure SQL Database, providing essential guidance on migrating MySQL and PostgreSQL workloads to the Azure SQL Database platform.

Audience Profile

The primary audience comprises database developers planning to transition their MySQL or Postgres database workloads to Azure SQL DB. The secondary audience includes MySQL and Postgres administrators seeking to enhance their awareness of the features and benefits offered by Azure SQL DB.

At Course Completion

Upon completing this course, students will have acquired the ability to:

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

About This Course

In this course, learners will gain an understanding of database concepts within a cloud setting, acquire foundational skills in cloud data services, and develop a solid grasp of cloud data services on Microsoft Azure. Participants will identify and describe essential data concepts, including relational, non-relational, big data, and analytics, and examine how these technologies are applied using Microsoft Azure. The course also covers the roles, tasks, and responsibilities associated with the data field. Students will investigate relational data solutions, including provisioning and deploying relational databases, as well as querying relational data through Azure cloud solutions. Additionally, learners will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores within Microsoft Azure. The curriculum also addresses the processing options available for constructing data analytics solutions in Azure, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Finally, students will learn about Power BI, its core components, and how they function together.

Audience Profile

This course is designed for individuals seeking to understand the fundamentals of database concepts in a cloud environment, acquire basic proficiency 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 instructor-led, live training in Kenya (online or onsite) is designed for intermediate-level Java developers, software engineers, and cloud enthusiasts who want to leverage Azure OpenAI to build intelligent applications.

Upon completing 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.