Cloud Computing in USA

This course provides a comprehensive understanding of requirements engineering (RE) principles, processes, and best practices.

It covers key topics such as infrastructure services, security, storage, networking, and database management.

It provides in-depth knowledge of security best practices, compliance frameworks, and AWS security services like Identity and Access Management (IAM), AWS Shield, and AWS WAF.

It covers key concepts such as compute, storage, database, networking, and security capabilities of AWS.

It covers essential topics such as virtual machines, storage, networking, databases, and Azure security.

It covers critical topics such as identity and access management, network security, data protection, and threat detection.

It covers essential concepts such as writing Terraform configuration files, managing infrastructure provisioning, and using modules for reusable code.

It covers core components like Nova for compute, Neutron for networking, Cinder for storage, and Horizon for the dashboard interface.

The course covers data loading techniques, query optimization, and managing large datasets for fast, complex queries.

Participants will learn to deploy, manage, and scale applications on GCP using best practices and industry standards.

This course provides a comprehensive understanding of AWS Lambda, a serverless computing service.

This course provides an in-depth understanding of Azure Functions, a serverless compute service that enables event-driven execution of code.

By the end of the course, learners will be equipped to deploy scalable, repeatable, and version-controlled infrastructure using Terraform.

Participants will learn how to navigate SharePoint sites, manage lists and libraries, set permissions, and use SharePoint effectively for daily business activities.

Participants will learn to design IoT solutions using AWS services, create secure data pipelines, manage fleets of connected devices, and integrate with analytics and AI services for intelligent processing.

This course covers Terraform basics, state management, modules, remote backends, and integrations with popular cloud providers like AWS, Azure, and GCP.

This covers the end-to-end ML lifecycle including data preparation, model training, evaluation, and deployment using Azure ML Studio and SDKs.

This course provides participants with comprehensive knowledge and hands-on experience in deploying and managing private and hybrid clouds using OpenNebula.

Participants will understand key concepts, benefits, service models, deployment options, and practical use cases of cloud technology.

Participants will learn how to set up development environments, collaborate in real time, and integrate Cloud9 with various AWS services such as Lambda, EC2, and S3.

This course equips participants with the knowledge and hands-on experience required to use Terraform for automating and managing AWS cloud infrastructure.

Participants will learn how to containerize applications, define task definitions, create clusters, and automate deployments using ECS and other AWS services such as CloudWatch, IAM, and ALB.

Participants will learn how to create scalable and secure infrastructure, use custom modules effectively, manage complex state, and integrate Terraform with CI/CD and policy-as-code tools.

The course focuses on scalability, high availability, automation, cost optimization, and advanced networking.

Participants will learn how to use the Colab Pro environment for data science, machine learning, and AI projects.

This course is designed to equip participants with the skills to perform data visualization using Python libraries within the Google Colab environment.

This course provides a hands-on introduction to time series analysis using Python in the Google Colab environment.

This course focuses on core concepts, architecture, installation, and hands-on administration of compute, networking, and storage resources.

Participants will explore the key components, interactions, deployment models, and best practices to diagnose and resolve common OpenStack issues.

Participants will gain experience in customizing ServiceNow to meet organizational needs and ensuring smooth IT service management operations.

The course covers MinIO’s architecture, installation, configuration, and management essentials.

Participants will explore advanced configuration, high availability, multi-node deployments, monitoring, automation, and integration of MinIO.

This combined training covers the foundational concepts of Microsoft Azure (AZ-900) along with core Azure administration skills (AZ-104).

This course covers identity and access management, platform protection, network security, data security, threat protection, and governance using native Azure security services.

This training provides administrators with the knowledge and hands-on skills to manage Windows Server environments in hybrid infrastructures.

This course provides a deep, practical understanding of Google Willow, Google’s next-generation experimental Quantum AI architecture.

This course provides a comprehensive introduction to Microsoft Sentinel and modern SOC operations, covering key concepts, deployment, and management.

This comprehensive training program equips participants with the skills to design and implement robust security strategies across AWS, Azure, and GCP. It covers identity management, network security, data protection, and compliance in multi-cloud environments.

This training provides a comprehensive framework for auditing cloud security controls in financial institutions, covering regulatory compliance, risk assessment, and continuous monitoring.