Cloud Computing Internship Program

Learn Cloud Computing, delivering scalable resources on-demand, Virtualization, Data Backup, Storing and serving website content using cloud services, Verifying and managing user access to cloud resources, Data Encryption, Load Balancer, Storing and retrieving data in the cloud instead of on local devices.

CERTIFICATION PROGRAM!


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1000+

Students Trained

50+

Hours of Lectures

Google Ratings:

4.8

Duration

1 to 2 Months

Hybrid Mode

Online + Offline

Micro Batches

15 Students Only Batch Size

Eligibility

Anyone

Beginner Friendly

Beginner to Advance Training

Course Curriculum

Introduction to Cloud and Virtualization :

Cloud Computing Overview: Cloud Computing Models: IaaS, PaaS, SaaS. On-demand resource access. Cloud Reference Model: "Cloud" definition. System architecture basics. Benefits: On-demand services. Cost efficiency. Scalability, agility. Challenges & Solutions: Security, data privacy. Downtime mitigation. Virtualization Basics: Foundation technology. Creating virtual resources. Characteristics: Abstraction, isolation. Flexibility, multiple workloads. Techniques: Server, storage, network virtualization.

Cloud Reference Model and Architecture :

Cloud Reference Model and Architecture: Explore Cloud Reference Model, architectural components, and interactions. Service Models (IaaS, PaaS, SaaS): Understand IaaS, PaaS, and SaaS, focusing on components and advantages. Cloud Deployment Models: Distinguish public, private, hybrid, and community clouds. Discuss use cases and challenges. Economics of the Cloud: Examine cost models, pricing structures, and financial considerations. Interoperability and Standards: Discuss importance of interoperability and adherence to standards for seamless integration between different cloud services. Scalability and Fault Tolerance: Explore scalability strategies, load balancing, auto-scaling, and fault tolerance measures. Web Application and Machine Image Design: Cover design considerations for web applications, including microservices, serverless architecture, and machine image creation for consistent deployment. Security (Privacy, Database, Data, Network, Host): Address security concerns, covering privacy considerations, database security, data encryption, network security measures, and host security practices. Compromise Response: Develop an effective response plan for security compromises, including incident detection, analysis, containment, eradication, recovery, and lessons learned.

Defining Clouds for Enterprise :

SStorage: Overview of cloud storage. Different types: object, block. Focus on data durability. Database: Managed databases in the cloud. Types supported: SQL, NoSQL. Basics of scalability and backups. Process Automation: Simplifying tasks with automation. Introduction to serverless computing. Integrating with workflow tools. Information Services: Cloud-based data services. Basics of analytics and privacy. Real-time data streaming. Integration: Connecting cloud and on-premises systems. Introduction to middleware and APIs. Ensuring data consistency. Testing Services: Cloud-based testing basics. Focus on performance and security. Introduction to test automation. Capacity Planning: Strategies for cloud resource planning. Auto-scaling and optimizing resources. Handling demand fluctuations. Disaster Recovery: Importance in the cloud. Identifying critical assets and risks. Basics of testing recovery plans. Disasters in the Cloud: Understanding potential issues. Incident response basics. Clarifying provider vs. customer roles. Continuous improvement in disaster strategies.

Cloud Computing(AWS) :

Introduction to AWS: Overview of Amazon Web Services. IAM (Identity and Access Management): Managing user access and permissions. EC2 Instances: Introduction to virtual servers in the cloud. AWS Networking (VPC): Basics of Virtual Private Cloud. AWS Route 53: Overview of Amazon's scalable DNS web service. Secure VPC Setup with EC2 Instances: Ensuring secure Virtual Private Cloud configuration. Amazon S3: Introduction to Simple Storage Service. AWS CLI: Basics of AWS Command Line Interface. AWS CloudFormation: Automating infrastructure deployment. AWS Code Tools: CodeCommit, CodePipeline, CodeBuild, CodeDeploy. AWS Monitoring: CloudWatch for monitoring resources. AWS Serverless: Introduction to Lambda for serverless computing. AWS CloudFront: Content Delivery Network service basics. AWS Container Services: ECR, ECS, EKS for container management. AWS Systems Manager: Managing hybrid cloud environments. Infrastructure as Code (IaC): Creating infrastructure using Terraform. AWS CloudTrail and Config: Logging and monitoring AWS resources. AWS Elastic Load Balancer: Distributing incoming application traffic across multiple targets.

Once you have completed the course you will be able to generate the certificate

  1. Attendance of at least 80% of the classes.

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