Electronics and Communication

Cloud Computing & Network Fundamentals

Cloud computing and network fundamentals are two pillars of modern technology infrastructure, revolutionizing the way businesses and individuals access, store, and process data. Cloud computing enables users to access computing resources and services over the internet, while network fundamentals form the backbone of connectivity, enabling data transmission and communication between devices and systems.
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Descriptions

Cloud computing refers to the delivery of computing services over the internet, providing users with access to a range of resources and applications without the need for local infrastructure. This innovative approach allows businesses and individuals to leverage powerful computing resources, such as servers, storage, databases, networking, and software, on-demand and at scale. Cloud computing providers manage and maintain these resources in data centers, offering flexibility, scalability, and cost-effectiveness to users.

The benefits of cloud computing include increased efficiency, agility, and innovation, as well as reduced costs and maintenance efforts. By shifting workloads and applications to the cloud, organizations can streamline operations, accelerate time-to-market, and improve scalability to meet fluctuating demand. Additionally, cloud computing enables collaboration, data analytics, and machine learning capabilities, empowering businesses to harness the full potential of digital technologies and drive growth and innovation in today’s fast-paced business environment.

Course content

"Introduction to Cloud Computing" provides an overview of cloud technology, covering its benefits, service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), and popular platforms like AWS, Azure, and GCP. Students learn how to leverage cloud services for building scalable applications.

"Introduction to AWS" provides an overview of Amazon Web Services (AWS), covering core services like EC2, S3, RDS, and VPC. Students learn essential concepts and best practices for deploying and managing applications on AWS, gaining foundational knowledge for cloud computing.

"AWS Compute Services" covers key services like EC2, Lambda, Elastic Beanstalk, and Batch. Students learn their features, use cases, and best practices for deploying and managing compute resources on AWS.

"AWS Storage Services" introduces students to the range of storage solutions offered by Amazon Web Services (AWS). This course covers services such as Amazon S3 (Simple Storage Service), Amazon EBS (Elastic Block Store), Amazon EFS (Elastic File System), and Amazon Glacier. Students learn about the features, use cases, and best practices for each storage service, enabling them to design and implement scalable and durable storage solutions on AWS.

"AWS Networking Services" covers key networking solutions like VPC, Direct Connect, Route 53, and CloudFront. Students learn about networking concepts and best practices for building secure and scalable network architectures on AWS.

"AWS Databases" explores the database solutions available on Amazon Web Services (AWS). This course covers services such as Amazon RDS (Relational Database Service), Amazon DynamoDB, Amazon Redshift, and Amazon Aurora. Students learn about the features, use cases, and best practices for each database service, enabling them to design and deploy scalable and highly available database solutions on AWS.

"AWS Security and Identity" covers essential security features and identity management services on Amazon Web Services (AWS), such as IAM, KMS, WAF, and Shield. Students learn best practices for securing resources, managing user access, encrypting data, and protecting against security threats.

"AWS Monitoring and Management" covers tools like CloudWatch, CloudTrail, Config, and Systems Manager. Students learn to monitor, manage, and automate tasks for their AWS resources effectively.

"AWS DevOps and Development Tools" covers services like CodePipeline, CodeBuild, CodeDeploy, and CodeCommit. Students learn to automate software delivery, streamline development workflows, and implement CI/CD practices on AWS.

"AWS Analytics Services" covers solutions like Athena, EMR, Redshift, and QuickSight. Students learn to process, analyze, and visualize data effectively on AWS.

"AWS Machine Learning and AI Services" covers offerings like SageMaker, Rekognition, Comprehend, and Polly. Students learn to build, train, and deploy ML models and develop AI applications on AWS.

"AWS Migration and Transfer" covers services like Snowball, DMS, SMS, and DataSync. Students learn to plan and execute migrations of applications, databases, and large datasets to AWS effectively.

"AWS Cost Management" covers tools like Cost Explorer, Budgets, and Trusted Advisor. Students learn to monitor, analyze, and control their AWS spending effectively, optimizing costs and maximizing value.

"AWS IoT Services" covers offerings like IoT Core, Device Management, Greengrass, and IoT Analytics. Students learn to connect devices, manage deployments, and analyze IoT data securely on AWS.

"Real-world Case Studies and Scenarios" provides practical examples of AWS in action. Through industry use cases, students learn how organizations leverage AWS to solve problems and drive innovation.

Final Projects

₹ 5000/-
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