11 Courses
Cloud Computing
Advanced SQL Azure
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:
- Optimize database performance and scalability in SQL Azure.
- Implement advanced security features like encryption and threat detection.
- Automate database management tasks using Azure tools.
- Design high availability and disaster recovery solutions.
- Integrate SQL Azure with other Azure services.
- Perform query tuning and index management.
- 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
Architecting Microsoft Azure Solutions
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:
- Understand core architectural components of Microsoft Azure.
- Design secure and scalable Azure solutions.
- Implement networking configurations for Azure environments.
- Integrate on-premises infrastructure with Azure services.
- Optimize performance and cost-efficiency.
- Monitor, manage, and maintain Azure infrastructure.
- 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
AWS Business Essentials
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:
- Understand the key concepts and benefits of cloud computing with AWS.
- Identify the main AWS services and their business applications.
- Evaluate the financial advantages of cloud adoption with AWS.
- Understand AWS security, compliance, and the shared responsibility model.
- 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
AWS Cloud Practitioner Essentials
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:
- Describe the AWS Cloud infrastructure and its global reach.
- Explain AWS core services and their use cases.
- Understand cloud architecture principles.
- Articulate the value proposition of AWS.
- Identify security and compliance features and the shared responsibility model.
- Understand billing models and cost management tools.
- 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
Cloud Computing with AWS
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:
- Understand core cloud computing concepts and AWS architecture.
- Set up and manage AWS accounts and services.
- Design and deploy scalable cloud architectures.
- Implement security and compliance best practices.
- Utilize AWS services like EC2, S3, RDS, Lambda, and VPC.
- 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
Cloud Computing with Google Cloud
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:
- Understand Google Cloud architecture and core concepts.
- Utilize GCP's Compute, Storage, and Database Services.
- Deploy and manage scalable applications on GCP.
- Implement networking and security best practices.
- Manage data using BigQuery, Cloud SQL, and Spanner.
- Automate infrastructure using Cloud Build and Terraform.
- 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
Cloud Patterns and Architecture
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:
- Understand core cloud architecture principles and concepts.
- Implement cloud design patterns for scalability, security, and resilience.
- Build highly available and fault-tolerant cloud applications.
- Design architectures to meet business and technical requirements.
- Implement disaster recovery and auto-scaling strategies.
- Optimize performance and cost-efficiency in cloud solutions.
- 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
Developing Applications with Google Cloud Platform (GCP)
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:
- Understand GCP core services for application development.
- Develop and deploy cloud-native applications using GCP tools.
- Implement Google Compute Engine, App Engine, Kubernetes, and Cloud Functions.
- Apply security and performance optimization best practices.
- Use Cloud SDK, Cloud Build, and Cloud Monitoring for efficient deployment.
- 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
Developing Windows Azure Solutions
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:
- Understand Azure core services and their applications in cloud development.
- Design and implement Azure compute services (App Services, Functions, VMs).
- Manage Azure Storage solutions for cloud-based applications.
- Deploy and optimize Azure applications using Azure DevOps.
- Implement security best practices with IAM and encryption.
- 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
Google Cloud Architect- Engineer on Apigee
HRDC Reg. No: 10001465548
Duration: 35 hours (5 days)
Course Overview
This 5-day comprehensive course equips cloud architects and engineers with the skills to design, build, and manage API gateways and microservices using Google Cloud Apigee. The course covers API design, security, deployment, and monitoring best practices within Google Cloud Platform (GCP).
Who Should Attend
Ideal for:
- Cloud Architects
- DevOps Engineers
- API Developers
- IT Professionals specializing in API Management
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, security, and caching.
- Utilize OAuth2.0, SAML, and OpenID Connect for API security.
- Monitor and troubleshoot API performance using Apigee tools.
- Integrate Apigee with other Google Cloud services.
- Design scalable and secure API gateways for enterprise solutions.
Prerequisites
- Basic understanding of cloud computing and networking.
- Familiarity with REST APIs and API development principles.
- Basic programming knowledge (Java, Python, or Node.js recommended).
- Experience with GCP is beneficial but not mandatory.
Lab Setup
- GCP account with administrative privileges.
- Apigee Edge account for API management.
- IDE for API development (VS Code, IntelliJ).
- Sample APIs and datasets.
Teaching Methodology
- Lectures and live demonstrations.
- Hands-on labs for practical experience.
- Group discussions and collaborative problem-solving.
- Real-world case studies and project assignments.
- Continuous assessments through quizzes and feedback.
Cloud Computing
Google Cloud Fundamentals Core Infrastructure
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:
- Understand Google Cloud infrastructure and its services.
- Explore Compute Engine, Kubernetes Engine, App Engine, and Cloud Functions.
- Implement Google Cloud storage solutions such as Cloud Storage, Persistent Disks, and Cloud SQL.
- Understand Google Cloud networking, including VPC and security models.
- Deploy and manage applications on GCP.
- 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.
