Building AI Cloud Apps with Microsoft Azure Training Course

This course provides participants with the fundamental knowledge and skills necessary to leverage PowerShell for the administration and automation of Windows server environments. It equips IT professionals with the ability to identify and construct the specific commands required for designated operational tasks. Additionally, participants learn to develop scripts for advanced functions, such as automating repetitive procedures and generating reports. The curriculum establishes prerequisite skills applicable to a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. While the course does not focus exclusively on any single product, Windows Server serves as the primary platform for demonstrating techniques relevant to government IT infrastructure.

This curriculum is designed to equip IT professionals with the capabilities required to administer Azure subscriptions, enforce identity security, oversee infrastructure operations, configure virtual networking, establish connectivity between Azure and on-premises environments, regulate network traffic, deploy storage architectures, provision and scale virtual machines, implement web applications and containers, execute data backup and sharing protocols, and monitor solution performance for government operations.

Targeted at Azure Administrators, this training addresses the responsibilities of implementing, managing, and monitoring identity, governance, storage, compute, and virtual network resources within cloud environments. Azure Administrators are responsible for provisioning, sizing, observing, and adjusting resources to ensure compliance and operational efficiency.

This course trains Solutions Architects to convert business requirements into secure, scalable, and reliable solutions suitable for government operations. It addresses design factors such as logging, cost analysis, authentication, governance, security, storage, high availability, and migration. The curriculum emphasizes the multidisciplinary decisions necessary to achieve a comprehensive and accountable design outcome.

This instructor-led, live training in US (delivered online or on-site) is designed for entry-level IT professionals seeking to acquire knowledge of Microsoft Azure and cloud computing principles.

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

• Comprehend fundamental cloud computing concepts.
• Recognize core Azure service offerings.
• Explain core solutions and administrative tools available in Azure.
• Understand general security and network security protocols.
• Understand identity management, governance, privacy, and compliance frameworks.
• Understand Azure cost management practices and Service Level Agreements (SLAs).

This instructor-led, live training in US (delivered online or on-site) is designed for developers and technical professionals at beginner, intermediate, and advanced levels who intend to leverage Microsoft Azure to build, test, and deploy AI agents for business applications.

Upon completion of this training, participants will be equipped to: understand AI agent architecture on Azure, create and configure a functional agent, connect agents to business knowledge sources, and evaluate and prepare agents for deployment.

This instructor-led, live training conducted in US (available online or on-site) is intended for DevOps engineers, developers, and project managers aiming to utilize Azure DevOps to build and deploy optimized enterprise applications with greater speed than traditional development approaches.

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

• Master the fundamental DevOps vocabulary and governing principles.
• Install and configure essential Azure DevOps tools for software development.
• Leverage Azure DevOps tools and services to maintain continuous adaptability to market demands.
• Construct enterprise applications and assess current development processes using Azure DevOps solutions.
• Enhance team management efficiency and reduce software deployment timelines.
• Implement DevOps development practices within the organizational framework.

This instructor-led training session, conducted in US via online or onsite mediums, is designed for intermediate-level data engineers seeking to proficiently utilize Azure Data Lake Storage Gen2 to implement effective data analytics solutions for government entities.

Upon completion of this instructional module, participants will be positioned to:

• Interpret the architectural framework and critical features of Azure Data Lake Storage Gen2.
• Enhance data storage and access efficiency to achieve optimal cost and performance metrics.
• Coordinate the integration of Azure Data Lake Storage Gen2 with complementary Azure services for analytics and data processing tasks.
• Construct functional solutions leveraging the Azure Data Lake Storage Gen2 API.
• Identify and remediate common technical issues while refining storage methodologies.

This instructor-led, live training in US (online or onsite) is designed for intermediate-level Java developers, software engineers, and cloud technology professionals seeking to leverage Azure OpenAI for the creation of intelligent applications for government use cases.

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

• Comprehend the foundational principles of Generative AI and its operational applications.
• Establish and administer an Azure OpenAI service.
• Integrate OpenAI models into Java-based applications.
• Deploy AI-driven features within web applications.

This instructor-led live training, delivered in US (online or onsite), provides the knowledge required to establish and manage production-scale container environments utilizing Kubernetes on AKS.

Upon completion, participants will be proficient in:

• Configuring and managing Kubernetes on AKS.
• Deploying, monitoring, and scaling Kubernetes clusters.
• Implementing containerized (Docker) applications on Azure.
• Migrating existing Kubernetes environments from on-premise to the AKS cloud.
• Integrating Kubernetes with third-party continuous integration (CI) platforms.
• Ensuring high availability and disaster recovery capabilities in Kubernetes.

This instructor-led, live training session, conducted in US (available online or onsite), is directed at intermediate-level data engineers seeking to achieve proficiency in leveraging Azure Synapse Analytics for diverse data processing, analytics, and visualization tasks.

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

• Grasp the core concepts, architectural design, and key components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses utilizing Azure Synapse.
• Acquire mastery of techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse for government operations.
• Optimize query performance, safeguard data integrity, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led, live training program in US (delivered online or onsite) is targeted at intermediate-level cloud engineers and information technology professionals who intend to use Terraform to automate the deployment, management, and scaling of infrastructure on the Azure cloud platform.

Upon completion of this training, participants will be capable of:

• Understanding the fundamentals of Terraform and its benefits in infrastructure as code.
• Setting up and configuring Terraform for Azure.
• Developing, testing, and deploying Terraform configuration files for various Azure services.
• Utilizing Terraform for managing and scaling Azure resources.
• Implementing best practices for Terraform state management and version control.
• Integrating Terraform with Azure DevOps for automated deployments.
• Creating reusable Terraform modules for consistent resource provisioning.
• Employing advanced Terraform features for complex infrastructure deployments.