Cloud Computing
This course provides an overview of the essential principles, technologies, and applications associated with cloud computing.
Certificate :
After Completion
Start Date :
10-Jan-2025
Duration :
30 Days
Course fee :
$150
COURSE DESCRIPTION:
- This course provides an overview of the essential principles, technologies, and applications associated with cloud computing.
- Participants will investigate the design, development, and implementation of cloud-based solutions while acquiring hands-on experience with prominent cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
- Key topics include cloud architecture, virtualization, infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS).
- Additionally, the course addresses cloud security, cost management, containerization (including Docker and Kubernetes), and emerging trends like serverless computing and edge computing.
- Through practical labs and projects, participants will cultivate skills necessary for creating scalable, reliable, and cost-efficient cloud environments.
CERTIFICATION:
- Upon completion of the course, participants will be able to: – Comprehend cloud service models and deployment strategies.
- Design and execute cloud-based applications and services.
- Configure and manage cloud infrastructure to enhance scalability and performance.
- Ensure security and compliance within a cloud environment.
- Implement strategies for cloud cost optimization. This course is ideal for IT professionals, software developers, and individuals looking to enhance their careers in cloud computing.
LEARNING OUTCOMES:
By the conclusion of the course, participants will possess the skills to:
1. Mobile Development Essentials
Gain insight into the architecture of mobile operating systems, specifically iOS and Android.
Explore the distinctions between native, hybrid, and cross-platform development approaches.
2. Programming Languages and Frameworks
Create applications using Swift for iOS and Kotlin for Android.
Achieve expertise in cross-platform frameworks such as React Native and Flutter.
3. UI/UX Design for Mobile Applications
Implement design principles to develop user-friendly and visually attractive mobile interfaces.
Craft responsive layouts that function effectively across various screen sizes.
4. Backend Integration
Link mobile applications to cloud services and APIs for efficient data transfer.
Utilize databases such as Firebase, MongoDB, or SQLite for data management.
5. Performance Enhancement
Enhance application performance by optimizing memory usage, battery life, and network efficiency. Adopt testing methodologies to guarantee a seamless user experience.
6. App Deployment and Ongoing Support
Prepare applications for launch on Google Play and the Apple App Store. Familiarize yourself with app store regulations, version control, and update procedures.
Course Curriculum
- Objective: Understand the basic concepts of cloud computing, its benefits, and different cloud service models.
- Topics: Cloud computing definition, deployment models (Public, Private, Hybrid), service models (IaaS, PaaS, SaaS).
- Outcome: Learners will gain an understanding of cloud concepts and their applications in modern business and technology.
- Objective: Learn about major cloud providers and their services, including AWS, Microsoft Azure, and Google Cloud Platform.
- Topics: Overview of cloud services from AWS, Azure, and GCP, cloud storage, compute resources, and networking.
- Outcome: Students will be familiar with the core services provided by each cloud platform and how to utilize them.
- Objective: Learn the principles of designing scalable, resilient, and secure cloud infrastructure.
- Topics: Cloud architecture patterns, microservices, scalability, high availability, fault tolerance, and security.
- Outcome: Learners will understand how to design cloud-based solutions that meet business requirements for scalability and reliability.
- Objective: Understand the role of virtualization and containers in cloud computing and application deployment.
- Topics: Virtual machines (VMs), hypervisors, containerization with Docker, container orchestration with Kubernetes.
- Outcome: Students will be able to implement containerized solutions for scalable application deployment in the cloud.
- Objective: Learn how to secure cloud infrastructure and manage network traffic in cloud environments.
- Topics: Virtual private clouds (VPCs), security groups, firewalls, IAM (Identity and Access Management), encryption, and best practices for cloud security.
- Outcome: Students will be proficient in managing network architecture and implementing security measures in the cloud.
- Objective: Learn cloud-based storage and database solutions, including relational and NoSQL databases.
- Topics: Cloud storage options (S3, Azure Blob Storage, GCP Storage), database services (RDS, DynamoDB, Cloud SQL, Bigtable).
- Outcome: Learners will be able to select and implement the appropriate storage and database services for their cloud applications.
- Objective: Understand the processes involved in migrating on-premises systems to the cloud.
- Topics: Lift and shift, replatforming, refactoring, cloud migration tools, cost optimization.
- Outcome: Students will learn how to assess and plan a migration strategy to move existing systems to the cloud effectively.
- Objective: Explore serverless computing and how it simplifies infrastructure management.
- Topics: AWS Lambda, Azure Functions, Google Cloud Functions, use cases for serverless applications.
- Outcome: Learners will understand how to build scalable applications without managing servers using serverless technologies.
- Objective: Learn how to automate cloud resource provisioning and integrate DevOps practices in cloud environments.
- Topics: Infrastructure as Code (IaC) with tools like Terraform, AWS CloudFormation, CI/CD pipelines, monitoring, and logging.
- Outcome: Students will be able to automate the provisioning of cloud resources and integrate DevOps tools for continuous delivery.
Training Features
Introduction to Cloud Service Models
Understand the core cloud computing service models (IaaS, PaaS, SaaS) and their applications.
Hands-on with Leading Cloud Providers (AWS, Azure, GCP)
Gain practical experience using services from AWS, Microsoft Azure, and Google Cloud Platform to build cloud solutions.
Cloud Architecture and Security Design
Learn to design secure, scalable, and resilient cloud architectures that meet business needs.
Containerization and Virtualization Techniques
Master the use of virtual machines, containers, and Kubernetes for efficient cloud deployments.
Cloud Automation and DevOps Integration
Learn how to automate cloud resource provisioning and integrate DevOps practices to improve efficiency and productivity.
Cost Management and Optimization Strategies
Understand cloud cost management tools and techniques to optimize your cloud spending while maintaining performance.
