Architecting Microsoft Azure Solutions Training Course

This live, instructor-led training in India (available online or onsite) is designed for intermediate to advanced professionals seeking to build and deploy AI-powered cloud applications using Microsoft Azure.

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

• Create event-driven and serverless applications using Azure Functions.
• Administer Azure storage solutions and virtual machines.
• Deploy and scale web applications utilizing Azure App Service and Docker containers.
• Incorporate AI, machine learning, and natural language processing capabilities via Azure AI Services.
• Utilize GitHub Copilot to support the development of AI-driven cloud applications.

This course equips Solutions Architects with the skills to transform business requirements into secure, scalable, and reliable Azure solutions. Key topics cover design considerations for logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. Professionals in this role must make informed decisions across multiple domains to shape the overall architectural solution.

This course equips IT Security Professionals with the essential knowledge and skills to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. The curriculum covers identity and access management, platform protection, data and application security, and security operations.

Audience profile

This course is designed for Azure Security Engineers who are preparing for the associated certification exam or who perform security tasks in their daily roles. It is also beneficial for engineers wishing to specialize in securing Azure-based digital platforms and playing a pivotal role in protecting an organization’s data.

Skills gained

• Implement enterprise governance strategies, including role-based access control, Azure policies, and resource locks.
• Implement an Azure AD infrastructure encompassing users, groups, and multi-factor authentication.
• Implement Azure AD Identity Protection, covering risk policies, conditional access, and access reviews.
• Implement Azure AD Privileged Identity Management, including Azure AD roles and Azure resources.
• Implement Azure AD Connect, focusing on authentication methods and on-premises directory synchronization.
• Implement perimeter security strategies, such as Azure Firewall.
• Implement network security strategies, including Network Security Groups and Application Security Groups.
• Implement host security strategies, including endpoint protection, remote access management, update management, and disk encryption.
• Implement container security strategies, including Azure Container Instances, Azure Container Registry, and Azure Kubernetes.
• Implement Azure Key Vault for certificates, keys, and secrets.
• Implement application security strategies, including app registration, managed identities, and service endpoints.
• Implement storage security strategies, including shared access signatures, blob retention policies, and Azure Files authentication.
• Implement database security strategies, including authentication, data classification, dynamic data masking, and Always Encrypted.
• Implement Azure Monitor, including connected sources, log analytics, and alerts.
• Implement Azure Security Center, including policies, recommendations, and just-in-time virtual machine access.
• Implement Azure Sentinel, including workbooks, incidents, and playbooks.

This instructor-led, live training in India (online or onsite) is designed for beginner, intermediate, 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 functional agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This instructor-led, live training in India (online or on-site) 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 in India (online or onsite) is aimed at security administrators who wish to secure Azure workloads.

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

• Administrate host security, network security, and more.
• Set up storage and database security in Azure.
• Implement security monitoring using Azure resources.
• Prevent malicious cyber attacks on data and infrastructures.

This instructor-led live training, held in India (online or onsite), targets security administrators who want to learn how to configure Azure cloud security to protect workloads running in Azure.

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

• Configure host and network security.
• Set up Azure advanced security options.
• Use Azure to secure cloud computing workloads.
• Employ endpoint protection services to secure against malware and viruses.
• Secure container workloads that are running in Azure.

Azure Bot Service integrates the capabilities of the Microsoft Bot Framework with Azure Functions, offering a robust platform for rapidly constructing intelligent chatbots.

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

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

Comprehend the fundamental principles behind intelligent bots.

Develop smart bots using cloud-based applications.

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

Implement proven bot design patterns in real-world situations.

Create and deploy their first intelligent bot using Microsoft Azure.

Target Audience

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

Training Format

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

This instructor-led live training in India (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.

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.

This instructor-led, live training in India (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 completion of this training, participants will be capable of:

• Grasping the fundamental principles of Generative AI and its practical applications.
• Configuring and managing an Azure OpenAI service.
• Integrating OpenAI models into Java applications.
• Deploying AI-driven features within web applications.

During this instructor-led, live training in India (onsite or remotely), participants will learn the core concepts, components, and services of Microsoft Azure while creating a sample cloud application.

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

• Understand the basics of Microsoft Azure
• Understand the different Azure tools and services
• Learn how to use Azure for building cloud applications

In this instructor-led live training in India (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on 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 AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

This instructor-led, live training, available either online or onsite, is aimed at machine learning engineers who wish to utilise Azure Machine Learning and Azure DevOps to facilitate MLOps practices.

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

• Build reproducible workflows and machine learning models.
• Manage the machine learning lifecycle.
• Track and report model version history, assets, and more.
• Deploy production ready machine learning models anywhere.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level cloud engineers and IT professionals who wish to use 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:

• Understand the basics of Terraform and its benefits in infrastructure as code.
• Set up and configure Terraform for Azure.
• Develop, test, and deploy Terraform configuration files for various Azure services.
• Use Terraform for managing and scaling Azure resources.
• Implement best practices for Terraform state management and version control.
• Integrate Terraform with Azure DevOps for automated deployments.
• Create reusable Terraform modules for consistent resource provisioning.
• Utilize advanced features of Terraform for complex infrastructure deployments.