Online Azure Training in India

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.

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.

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 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 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, 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.

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 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 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.

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.

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

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.