Azure Training in San Francisco Bay Area

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to leverage Azure OpenAI for government to create intelligent applications. By the end of this training, participants will be able to: - Understand the principles of Generative AI and its various applications. - Set up and manage an Azure OpenAI service for government use. - Integrate OpenAI's models into Java applications. - Deploy AI-powered features within web applications for government.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for intermediate-level cloud engineers and IT professionals who wish to utilize 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: - Comprehend the fundamentals of Terraform and its advantages in infrastructure as code. - Set up and configure Terraform for use with Azure. - Develop, test, and deploy Terraform configuration files for various Azure services. - Manage and scale Azure resources using Terraform. - Implement best practices for Terraform state management and version control. - Integrate Terraform with Azure DevOps to facilitate automated deployments. - Create reusable Terraform modules for consistent resource provisioning in public sector workflows. - Utilize advanced features of Terraform for complex infrastructure deployments, ensuring alignment with governance and accountability standards for government.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to build and deploy AI-powered cloud applications using Microsoft Azure for government.

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 for efficient data handling.
• Deploy and scale web applications using Azure App Service and Docker containers to ensure robust performance.
• Integrate AI, machine learning, and natural language processing capabilities with Azure AI Services to enhance application functionality.
• Utilize GitHub Copilot to streamline the development process of AI-driven cloud applications for government.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for intermediate-level data engineers who aim to become proficient in leveraging Azure Synapse Analytics for a variety of data processing, analytics, and visualization tasks.

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

• Comprehend the fundamental concepts, architecture, and components of Azure Synapse Analytics.
• Establish, configure, and manage scalable data warehouses using Azure Synapse.
• Acquire expertise in ingesting, transforming, and loading data (ETL) from diverse sources into Azure Synapse.
• Enhance query performance, ensure data security, and integrate Azure Synapse with Power BI and other tools to visualize data and disseminate insights effectively for government use cases.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for intermediate-level data engineers who wish to learn how to leverage Azure Data Lake Storage Gen2 for effective data analytics solutions. By the end 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 enhance cost efficiency and performance. - Integrate Azure Data Lake Storage Gen2 with other Azure services to support analytics and data processing workflows for government. - Develop solutions utilizing the Azure Data Lake Storage Gen2 API. - Troubleshoot common issues and refine storage strategies.

In this instructor-led, live training for government agencies (available online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on Azure Kubernetes Service (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 containerized (Docker) applications on Azure. - Migrate an existing Kubernetes environment from on-premise to the AKS cloud. - Integrate Kubernetes with third-party continuous integration (CI) software. - Ensure high availability and disaster recovery in Kubernetes.

This course is designed to equip Solutions Architects with the skills necessary to translate business requirements into secure, scalable, and reliable solutions for government. The curriculum covers essential design considerations such as logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. Solutions Architects must make informed decisions across these areas to ensure an effective and cohesive design solution that aligns with public sector workflows and accountability standards.

This course equips students with the essential knowledge and skills to utilize PowerShell for the administration and automation of Windows servers. Students will gain the ability to identify and construct the commands necessary to execute specific tasks. Additionally, they will learn to develop scripts to handle advanced tasks, such as automating repetitive processes and generating reports. The course provides foundational skills that support a wide range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. While the focus is not on any single product, Windows Server serves as the primary platform for demonstrating the techniques taught in this course, ensuring relevance and applicability for government IT professionals.

This course equips IT professionals with the skills needed to manage their Azure subscriptions effectively, secure identities, administer infrastructure, configure virtual networking, connect Azure and 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 their solutions. Designed specifically for government Azure Administrators, this course covers the essential tasks of implementing, managing, and monitoring identity, governance, storage, compute, and virtual networks in a cloud environment. Azure Administrators will learn to provision, size, monitor, and adjust resources as needed to ensure optimal performance and compliance with public sector workflows, governance, and accountability standards.

Skills Gained for Government

• Design governance solutions that align with public sector workflows and accountability standards.
• Design compute solutions that meet the performance and security requirements of government operations.
• Design application architectures that support efficient and secure data processing in a governmental context.
• Design storage solutions, both non-relational and relational, to ensure reliable and scalable data management for government agencies.
• Design data integration solutions that facilitate seamless information sharing across different government departments and systems.
• Design authentication, authorization, and identity solutions to enhance security and compliance in government IT environments.
• Design network solutions that ensure robust connectivity and secure data transmission for government operations.
• Design backup and disaster recovery solutions to protect critical government data and ensure business continuity.
• Design monitoring solutions to track system performance and security metrics, ensuring ongoing compliance with government standards.
• Design migration solutions that facilitate the smooth transition of legacy systems to modern, more efficient platforms for government use.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level 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, integrate agents with business knowledge sources, and evaluate and prepare agents for deployment in a government context.

This instructor-led, live training in San Francisco Bay Area (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 more efficiently than with traditional development methods. By the end of this training, participants will be able to: - Understand the essential DevOps terminology and principles. - Install and configure the necessary Azure DevOps tools for software development. - Leverage Azure DevOps tools and services to continuously adapt to market changes. - Develop enterprise applications and assess current development processes using Azure DevOps solutions. - Manage teams more effectively and expedite software deployment times. - Implement DevOps practices within their organization, enhancing workflows and accountability for government projects.