Summer Internship Course-2026

Course Number :	SI-2026-05
Eligible students to participate :	B. Tech. 2nd and 3rd year
Prerequisites :	Python programming and AWS fundamentals (Not mandatory)
Resource person(s) :	Sumit Sah ( Industry Expert and Alumni) Sibashish ( Industry Expert and Alumni) Suraj Kumar ( Industry Expert and Alumni)
Duration of the Course :	4 weeks – 100 hrs (Theory : 50 hrs, Hands-on :30 hrs, Project/assignment : 20 hrs)
Course Outcome :	Proficiency in AWS Services: Gain a strong understanding of various AWS services and tools, enabling you to effectively utilize cloud computing and AWS resources. Deployment and Management Skills: Acquire hands-on experience in launching and managing EC2 instances, configuring storage volumes, setting up private cloud infrastructure, and implementing security measures. Scalability and Performance Optimization: Learn to scale applications using Elastic Load Balancer and Auto Scaling, monitor resources with CloudWatch, and optimize performance for enhanced user experience. Data Management and Analytics: Understand how to manage and migrate databases, utilize AWS data analytics services like Glue, Athena, and Lambda, and set up ETL pipelines for efficient data processing. Cost Optimization and Resource Planning: Develop skills to optimize costs by utilizing AWS Free Tier, understanding pricing models for EC2 instances and reserved instances, and implementing effective resource management strategies.
Course Content :	Part 0: Introduction to Cloud, AWS & Data Engineering Part 1: Linux, Python Basics, Git & GitLab Part 2: AWS Core Services (EC2, VPC, S3) & Data Lake Concepts Part 3: AWS Data Engineering Services (Glue, Athena, Lambda, SQS, SNS) Part 4: Data Pipeline Architecture & Data Quality (Pylint, Pytest) Part 5: Infrastructure as Code & CI/CD (Terraform, GitLab CI/CD) Part 6: Docker, Kubernetes & Application Deployment on Amazon EKS Part 7: Capstone Projects (End-to-End Data Engineering Pipelines) Details...
Methodology of Course Delivery :	Online Live Class Hands-on Lab practices
Batch Size :	100
Course Schedule :	25th May 2026 -4th July 2026
Course Fees :	5500 INR
Residence Fee (optional) :	0 INR

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