Summer Internship Course-2026

Course number :	SI-2026-06
Eligible students to participate :	B.Tech 1st year
Prerequisites :	Anybody who has interest in cloud computing
Resource person(s) :	Sumit Sah, Nitish Kumar Suraj kumar, Sibashish and other Industry experts
Duration of the Course :	4 weeks – 100 hrs (Theory : 50 hrs, Hands-on :30 hrs, Project/assignment : 20 hrs)
Course Outcome :	Proficiency in AWS Data Engineering and DevOps tools such as Amazon S3, Glue, Athena, Lambda, SQS, SNS, Git, GitLab CI/CD, Terraform, Docker, Kubernetes, and Amazon EKS. Ability to design, build, and manage scalable data pipelines using batch and event-driven architectures on AWS. Hands-on experience in ETL development, data lake architecture, and serverless data processing using AWS services. Practical knowledge of Infrastructure as Code (IaC) and CI/CD automation for data engineering workloads. Experience in deploying and managing data-related applications using Docker, Kubernetes, and Amazon EKS
Course Content :	Part 0: Introduction to Cloud Computing Part 1: Introduction to AWS Virtual Machine Part 2: AWS Load Balancer and AutoScaling Part 3: AWS Storage and Backup Part 4: AWS Network and Security Part 5: AWS Cloud formation and terraform
Methodology of Course Delivery :	Online Live Class Hands-on Lab practices
Batch Size :	100
Course Fees :	5,500.00/-
Residence Fee (optional) :	0.00/-

Proficiency in AWS Data Engineering and DevOps tools such as Amazon S3, Glue, Athena, Lambda, SQS, SNS, Git, GitLab CI/CD, Terraform, Docker, Kubernetes, and Amazon EKS.
Ability to design, build, and manage scalable data pipelines using batch and event-driven architectures on AWS.
Hands-on experience in ETL development, data lake architecture, and serverless data processing using AWS services.
Practical knowledge of Infrastructure as Code (IaC) and CI/CD automation for data engineering workloads.
Experience in deploying and managing data-related applications using Docker, Kubernetes, and Amazon EKS