Cloud Computing

HRDC Reg. No: To be Announced
Duration: 4 Days

Course Overview

This Microsoft Azure expert-level course provides hands-on training for designing and implementing Azure-based infrastructure solutions. Participants will learn how to design governance, compute, storage, networking, security, and data integration solutions on Azure. The course aligns with industry best practices and prepares professionals for the AZ-305 certification exam.

Who Should Attend?

This course is ideal for:

Cloud Architects – Designing scalable and secure Azure infrastructure.
IT Professionals – Managing enterprise cloud environments.
Solution Architects – Creating cloud-based solutions for businesses.
Database Administrators – Designing scalable and available data solutions.

Why Choose This Course?

HRDC Claimable (Check with HRDC for eligibility)
Covers real-world Azure infrastructure solutions
Hands-on training with practical design scenarios
Prepares for Microsoft AZ-305 certification

Prerequisites

Knowledge of Azure Active Directory
Understanding of Azure Compute Technologies (VMs, Containers, Serverless)
Familiarity with Azure Virtual Networking and Load Balancers
Understanding of Azure Storage (structured & unstructured data)
Basic knowledge of application design concepts (messaging, high availability)

Cloud Computing

HRDC Reg. No: 10001465529

Duration: 14 hours (2 days)

Course Overview

This advanced course provides a comprehensive understanding of SQL Azure, focusing on performance optimization, security, scalability, and automation within Microsoft's Azure SQL Database. Designed for database administrators, developers, and IT professionals, this course equips participants with the skills needed to manage and optimize cloud-based databases effectively.

Who Should Attend

Ideal for:

• Database Administrators
• Data Engineers
• SQL Developers
• Cloud Solution Architects

Learning Outcomes

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

1. Optimize database performance and scalability in SQL Azure.
2. Implement advanced security features like encryption and threat detection.
3. Automate database management tasks using Azure tools.
4. Design high availability and disaster recovery solutions.
5. Integrate SQL Azure with other Azure services.
6. Perform query tuning and index management.
7. Utilize monitoring and alerting tools for database health.

Prerequisites

• Basic understanding of SQL and SQL Azure.
• Familiarity with cloud computing concepts.
• Experience with database management and development.

Lab Setup

• Access to Azure Portal with SQL Database services.
• SQL Server Management Studio (SSMS) installed.
• Pre-configured Azure SQL Database for hands-on labs.

Teaching Methodology

• Instructor-led presentations and demonstrations.
• Hands-on labs and real-world scenarios.
• Interactive discussions and Q&A sessions.
• Case studies and problem-solving exercises.

Cloud Computing

HRDC Reg. No: 10001465531

Duration: 35 hours (5 days)

Course Overview

This 5-day course provides a comprehensive understanding of Microsoft Azure architecture, focusing on designing and implementing secure, scalable, and efficient cloud solutions. Participants will learn about Azure infrastructure, networking, security, compute, storage, data management, and application services using best practices and Azure tools.

Who Should Attend

Ideal for:

• Cloud Architects
• Solutions Architects
• IT Professionals
• Developers seeking Azure architecture expertise

Learning Outcomes

Upon completing this course, participants will be able to:

1. Understand core architectural components of Microsoft Azure.
2. Design secure and scalable Azure solutions.
3. Implement networking configurations for Azure environments.
4. Integrate on-premises infrastructure with Azure services.
5. Optimize performance and cost-efficiency.
6. Monitor, manage, and maintain Azure infrastructure.
7. Develop Azure applications and microservices.

Prerequisites

• Basic understanding of cloud computing concepts.
• Familiarity with the Microsoft Azure platform.
• Knowledge of networking fundamentals.
• Experience with IT architecture and design principles.

Lab Setup Requirements

• Microsoft Azure subscription.
• Configured environment with resource creation permissions.
• Tools: Azure CLI, Visual Studio, Azure Portal.

Teaching Methodology

• Instructor-led lectures.
• Hands-on labs with practical scenarios.
• Real-world case studies.
• Interactive discussions and Q&A sessions.

Cloud Computing

HRDC Reg. No: 10001465533

Duration: 7 hours (1 day)

Course Overview

This 1-day course provides a high-level overview of Amazon Web Services (AWS) and its key services, focusing on cloud computing benefits for business decision-makers. It covers financial advantages, security and compliance, and cloud migration strategies, helping participants make informed decisions on cloud adoption.

Who Should Attend

Ideal for:

• Business Leaders
• IT Decision-Makers
• Finance Managers
• Cloud Adoption Stakeholders

Learning Outcomes

By the end of the course, participants will be able to:

1. Understand the key concepts and benefits of cloud computing with AWS.
2. Identify the main AWS services and their business applications.
3. Evaluate the financial advantages of cloud adoption with AWS.
4. Understand AWS security, compliance, and the shared responsibility model.
5. Make informed decisions about cloud migration strategies and service selection.

Prerequisites

• Basic understanding of IT concepts and business fundamentals.
• No prior AWS knowledge is required.

Lab Setup

• AWS Free Tier account for demonstrations.
• Basic internet-enabled computer for AWS Management Console access.

Teaching Methodology

• Interactive lectures with real-world examples.
• Live demonstrations of AWS services.
• Group discussions and Q&A sessions.
• Case studies highlighting successful AWS adoption.

Cloud Computing

HRDC Reg. No: 10001468114

Duration: 7 hours (1 day)

Course Overview

This one-day course offers a comprehensive introduction to AWS Cloud concepts, services, security, architecture, pricing, and support. Designed for business professionals and those new to cloud technologies, it covers key AWS services and foundational principles of cloud computing.

Who Should Attend

Ideal for:

• Business Professionals working with AWS.
• Sales, Marketing, Legal, and Management Teams.
• Individuals new to the cloud and AWS technologies.

Learning Outcomes

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

1. Describe the AWS Cloud infrastructure and its global reach.
2. Explain AWS core services and their use cases.
3. Understand cloud architecture principles.
4. Articulate the value proposition of AWS.
5. Identify security and compliance features and the shared responsibility model.
6. Understand billing models and cost management tools.
7. Locate technical support resources and documentation.

Prerequisites

• No prior AWS or cloud computing experience required.

Lab Setup

• AWS Free Tier account or instructor-provided account.
• Stable internet connection and web browser.

Teaching Methodology

• Interactive lectures with real-world demonstrations.
• Hands-on labs and guided exercises.
• Scenario-based discussions to reinforce concepts.
• Q&A sessions for participant engagement.

Cloud Computing

HRDC Reg. No: 10001465535

Duration: 35 hours (5 days)

Course Overview

This comprehensive 5-day course covers AWS Cloud Computing concepts, focusing on essential services, architecture best practices, and hands-on experience with AWS tools. Participants will gain the skills to design, deploy, and manage secure, scalable, and resilient cloud-based solutions using Amazon Web Services (AWS).

Who Should Attend

Ideal for:

• IT Professionals and System Administrators
• Developers and Cloud Engineers
• AWS Certification Candidates

Learning Outcomes

By the end of the course, participants will be able to:

1. Understand core cloud computing concepts and AWS architecture.
2. Set up and manage AWS accounts and services.
3. Design and deploy scalable cloud architectures.
4. Implement security and compliance best practices.
5. Utilize AWS services like EC2, S3, RDS, Lambda, and VPC.
6. Automate cloud deployments using AWS tools.

Prerequisites

• Basic knowledge of networking and server management.
• Familiarity with command-line interfaces and scripting.
• Experience with IT infrastructure concepts.

Lab Setup

• AWS Free Tier account setup.
• Virtual lab environment for hands-on practice.
• Internet access for AWS Management Console.

Teaching Methodology

• Instructor-led lectures for theoretical understanding.
• Hands-on labs for practical experience.
• Group discussions and Q&A sessions.
• Case studies for real-world applications.

Cloud Computing

HRDC Reg. No: 10001465537

Duration: 35 hours (5 days)

Course Overview

This 5-day comprehensive course provides an in-depth exploration of Google Cloud Platform (GCP), focusing on core cloud services, data management, security, DevOps practices, and machine learning. Participants will gain hands-on experience in building, deploying, and managing scalable applications using GCP tools and best practices.

Who Should Attend

Ideal for:

• IT Professionals and Developers
• Cloud Architects and System Administrators
• Data Engineers and Data Scientists

Learning Outcomes

By the end of the course, participants will be able to:

1. Understand Google Cloud architecture and core concepts.
2. Utilize GCP's Compute, Storage, and Database Services.
3. Deploy and manage scalable applications on GCP.
4. Implement networking and security best practices.
5. Manage data using BigQuery, Cloud SQL, and Spanner.
6. Automate infrastructure using Cloud Build and Terraform.
7. Explore Machine Learning services on GCP.

Prerequisites

• Basic understanding of cloud computing concepts.
• Familiarity with networking and databases.
• Programming knowledge (Python/Java) recommended but not mandatory.

Lab Setup

• Access to Google Cloud Console with permissions for creating projects and billing.
• Stable internet connection and modern web browser.

Teaching Methodology

• Interactive lectures with real-world case studies.
• Hands-on labs and guided exercises.
• Group activities and collaborative projects.
• Quizzes and assessments for concept reinforcement.

Cloud Computing

HRDC Reg. No: 10001465542

Duration: 35 hours (5 days)

Course Overview

This 5-day course explores the principles, design patterns, and best practices essential for building scalable, resilient, and cost-efficient cloud architectures. Participants will gain hands-on experience designing solutions using AWS, Azure, and Google Cloud while addressing real-world architectural challenges.

Who Should Attend

Ideal for:

• Cloud Architects
• DevOps Engineers
• Software Developers
• IT Professionals managing cloud migration or deployments

Learning Outcomes

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

1. Understand core cloud architecture principles and concepts.
2. Implement cloud design patterns for scalability, security, and resilience.
3. Build highly available and fault-tolerant cloud applications.
4. Design architectures to meet business and technical requirements.
5. Implement disaster recovery and auto-scaling strategies.
6. Optimize performance and cost-efficiency in cloud solutions.
7. Leverage cloud-native tools for automation and deployment.

Prerequisites

• Basic knowledge of cloud platforms (AWS, Azure, GCP).
• Familiarity with networking, databases, and operating systems.
• Basic understanding of software development and system architecture.

Lab Setup

• Access to AWS, Azure, or GCP accounts.
• Tools: IDE, SDKs, CLI, and cloud-native services.
• Virtual environments for simulating real-world use cases.

Teaching Methodology

• Lectures and interactive discussions.
• Hands-on labs and live demonstrations.
• Case studies and real-world scenarios.
• Group projects for architectural design challenges.

Cloud Computing

HRDC Reg. No: 10001465544

Duration: 21 hours (3 days)

Course Overview

This 3-day course is designed for developers who want to design, develop, and deploy applications using Google Cloud Platform (GCP) services. Participants will gain hands-on experience with cloud storage, compute engines, Kubernetes, serverless services, and APIs, enabling them to build scalable, secure, and cloud-native applications.

Who Should Attend

Ideal for:

• Application Developers
• Cloud Engineers
• DevOps Professionals
• IT Professionals seeking GCP certification

Learning Outcomes

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

1. Understand GCP core services for application development.
2. Develop and deploy cloud-native applications using GCP tools.
3. Implement Google Compute Engine, App Engine, Kubernetes, and Cloud Functions.
4. Apply security and performance optimization best practices.
5. Use Cloud SDK, Cloud Build, and Cloud Monitoring for efficient deployment.
6. Integrate GCP APIs and databases into applications.

Prerequisites

• Familiarity with application development (Python, Java, or Node.js).
• Basic knowledge of cloud computing.
• Experience with web frameworks and databases (optional).

Lab Setup

• Google Cloud Platform account (trial or paid).
• Google Cloud SDK installed.
• IDE (Visual Studio Code, IntelliJ IDEA).

Teaching Methodology

• Instructor-led presentations with demonstrations.
• Hands-on labs for real-world application.
• Group discussions and Q&A sessions.
• Project-based learning and case studies.

Cloud Computing

HRDC Reg. No: 10001468116

Duration: 28 hours (4 days)

Course Overview

This 4-day course provides a deep dive into Microsoft Azure, focusing on developing, deploying, and managing cloud applications. Participants will gain expertise in Azure compute, storage, networking, and security services, ensuring they can build scalable, secure, and resilient Azure-based solutions.

Who Should Attend

Ideal for:

• Software Developers
• Cloud Engineers
• Solutions Architects
• IT Professionals working with Azure applications

Learning Outcomes

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

1. Understand Azure core services and their applications in cloud development.
2. Design and implement Azure compute services (App Services, Functions, VMs).
3. Manage Azure Storage solutions for cloud-based applications.
4. Deploy and optimize Azure applications using Azure DevOps.
5. Implement security best practices with IAM and encryption.
6. Utilize advanced services like API Management, Logic Apps, and AKS.

Prerequisites

• Basic understanding of cloud computing concepts.
• Familiarity with .NET programming and web development.
• Experience with databases and RESTful APIs.

Lab Setup

• Microsoft Azure subscription with resource group creation permissions.
• Visual Studio or Visual Studio Code installed.
• Azure CLI or Azure PowerShell installed.

Teaching Methodology

• Lectures: Interactive concept explanations.
• Hands-on Labs: Real-world Azure exercises.
• Case Studies: Practical use cases and problem-solving.
• Group Activities: Collaborative learning projects.
• Q&A Sessions: Interactive discussions and clarifications.

Cloud Computing

HRDC Reg. No: 10001468849

Duration: 35 hours (5 days)

Course Overview

This 35-hour comprehensive course is designed to equip cloud architects and engineers with the foundational knowledge and practical skills required to design, build, and manage API gateways and microservices using Google Cloud Apigee. Participants will explore the essential concepts of API design, development, security, and deployment while understanding the architecture and best practices of Apigee within Google Cloud Platform (GCP).

Who Should Attend?

• Cloud architects
• DevOps engineers
• API developers
• IT professionals looking to specialize in API management with Apigee

Why Choose This Course?

This HRDC-claimable course (HRDC Reg. No: 10001468849) provides hands-on experience in designing, securing, and managing APIs using Google Cloud Apigee, with real-world case studies and projects.

Learning Outcomes

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

Understand Apigee architecture and its components
Design, secure, and manage APIs using Google Cloud Apigee
Implement API policies for rate-limiting, quotas, security, and caching
Utilize OAuth2.0, SAML, and OpenID Connect for securing APIs
Monitor, troubleshoot, and optimize API performance on Apigee
Integrate Apigee with other Google Cloud services
Implement and manage API monetization models
Design scalable, secure, and reliable API gateways for enterprise solutions

Prerequisites

• Basic knowledge of cloud computing and networking
• Familiarity with REST APIs and their implementation
• Basic programming knowledge (preferably in Java, Python, or Node.js)
• Experience with GCP is an advantage but not mandatory

Lab Setup

• A GCP account with administrative privileges
• Apigee Edge account with developer permissions
• IDE for API development (VS Code, IntelliJ, or similar)
• Sample APIs and datasets for hands-on practice
• (Optional) Docker for running microservices and API services locally

Teaching Methodology

Instructor-led Lectures – In-depth explanations of Apigee and API concepts
Hands-on Labs & Exercises – Practical implementation of API management techniques
Group Discussions & Problem-Solving – Collaborative approach to real-world API issues
Case Studies & Project-Based Assignments – Industry use cases and applications
Continuous Assessments – Quizzes, feedback sessions, and a final project

Cloud Computing

HRDC Reg. No: 10001465549
Duration: 7 hours (1 day)

Course Overview

This 1-day foundational course introduces participants to key concepts and core services within Google Cloud Platform (GCP). It covers networking, storage, compute, security, and application development, providing essential knowledge for leveraging cloud technology in business environments.

Who Should Attend

Ideal for:

• IT Professionals exploring cloud technologies.
• System Administrators and Network Engineers.
• Developers working with cloud-based solutions.
• Individuals pursuing Google Cloud certifications.

Learning Outcomes

Upon completing this course, participants will be able to:

1. Understand Google Cloud infrastructure and its services.
2. Explore Compute Engine, Kubernetes Engine, App Engine, and Cloud Functions.
3. Implement Google Cloud storage solutions such as Cloud Storage, Persistent Disks, and Cloud SQL.
4. Understand Google Cloud networking, including VPC and security models.
5. Deploy and manage applications on GCP.
6. Gain hands-on experience using GCP tools.

Prerequisites

• Basic understanding of networking and IT infrastructure concepts.
• Familiarity with command-line tools.

Lab Setup

• Google Cloud account with project creation permissions.
• Cloud Console access.
• Basic configurations for compute, storage, and networking resources.

Teaching Methodology

• Instructor-led lectures and demonstrations.
• Hands-on labs and practical exercises.
• Interactive Q&A sessions.