About this course
Cloud Computing & DevOps Internship Program: 6-Week Structured Learning and Experience
Introduction
Cloud computing and DevOps are essential for modern software development, enabling scalability, automation, and efficiency. This internship program provides hands-on experience with cloud infrastructure, automation, DevOps pipelines, and cloud security best practices. Participants will work with AWS, Azure, GCP, Terraform, Docker, Kubernetes, CI/CD pipelines, monitoring tools, and security frameworks to deploy and manage cloud-native applications efficiently.
This program is designed for aspiring cloud engineers, DevOps professionals, and system administrators who want to gain practical experience in cloud computing, automation, and DevOps practices. The course concludes with a fully automated cloud-based DevOps pipeline as a capstone project.
Program Highlights
Week 1: Introduction to Cloud Computing & DevOps
· Cloud Computing Concepts: Explore IaaS, PaaS, SaaS models and real-world use cases.
· Deploying a Virtual Machine: Launch a VM on AWS, Azure, or GCP with a basic web server.
· DevOps Principles: Research DevOps culture, tools, and methodologies with industry examples.
· Version Control with Git: Manage branches, merges, and commits in a GitHub repository.
Week 2: Containerization & Continuous Integration
· Docker for Containerization: Create a Dockerfile and containerize a web application.
· CI/CD Pipeline Setup: Implement GitHub Actions or Jenkins to automate builds and deployments.
· Infrastructure as Code (IaC) with Terraform: Deploy cloud infrastructure using Terraform scripts.
Week 3: Cloud Storage, Monitoring, and Serverless Computing
· Cloud Storage & Backup: Configure cloud storage buckets with versioning and backup policies.
· Monitoring with Prometheus & Grafana: Set up a monitoring dashboard for a containerized app.
· Serverless Computing: Deploy a Lambda function triggered by an event in AWS.
Week 4: Kubernetes, Security, and Configuration Management
· Kubernetes Basics: Deploy a Kubernetes cluster and run a sample pod.
· Cloud Networking & Security: Configure security groups, firewalls, and access policies.
· Ansible for Configuration Management: Automate web server setup using Ansible playbooks.
Week 5: Hybrid Cloud, Logging, and Scaling
· Hybrid Cloud Implementation: Analyze hybrid cloud challenges and write a case study report.
· Logging & Tracing with ELK Stack: Set up an Elasticsearch, Logstash, and Kibana (ELK) stack.
· Load Balancing & Auto Scaling: Configure auto-scaling and load balancing in AWS/Azure.
Week 6: Cloud Cost Optimization & Final Project
· Cloud Cost Optimization: Research cost-saving strategies for cloud infrastructure.
· API Gateway & Microservices: Deploy an API gateway to manage microservices.
· Security & Compliance: Research cloud security best practices and compliance frameworks.
· Final Project: Develop and deploy a fully automated DevOps pipeline with CI/CD, cloud infrastructure, monitoring, and security.
Expected Outcomes
By the end of this internship, participants will:
· Understand cloud computing models (IaaS, PaaS, SaaS) and DevOps best practices.
· Deploy and manage cloud resources using AWS, Azure, or GCP.
· Containerize applications with Docker and manage them with Kubernetes.
· Implement Infrastructure as Code using Terraform and Ansible.
· Set up CI/CD pipelines using GitHub Actions or Jenkins.
· Deploy serverless applications using AWS Lambda.
· Monitor applications using Prometheus, Grafana, and ELK Stack.
· Implement security best practices and cloud cost optimization strategies.
· Build a fully automated DevOps pipeline with cloud deployment, CI/CD, and monitoring.
Requirements
Laptop
Internet Connection
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To understand cloud computing concepts, benefits, and service models by researching key principles and real-world applications.
To gain hands-on experience in deploying and configuring a cloud-based virtual machine.
To explore the core principles, practices, and benefits of DevOps in modern software development.
To learn the fundamentals of Git for version control and collaborative software development.
To understand Docker containerization and create a simple web application in a Docker container.
To implement a Continuous Integration and Continuous Deployment (CI/CD) pipeline for automating software development workflows.
To understand Infrastructure as Code (IaC) and automate cloud resource provisioning using Terraform.
To explore cloud storage services and configure backup strategies using versioning.
To set up application monitoring and logging using Prometheus and Grafana.
To understand serverless computing by deploying a function in AWS Lambda.
To learn Kubernetes fundamentals by deploying a simple pod inside a Kubernetes cluster.
To configure cloud networking and security policies for secure access control.
To learn configuration management using Ansible by automating software installation on a remote server.
To understand hybrid cloud strategies and evaluate their benefits and challenges.
To set up a log management system using the ELK stack (Elasticsearch, Logstash, Kibana) for real-time monitoring.
To implement scalability and high availability using auto-scaling and load balancing in a cloud environment.
To understand and apply cost-saving techniques in cloud infrastructure while maintaining performance and scalability.
To learn how API gateways manage and secure communication between microservices in a cloud-native architecture.
To understand cloud security best practices and compliance frameworks to protect cloud-based applications.
To integrate all DevOps concepts into a fully automated pipeline, covering development, testing, CI/CD, monitoring, and deployment.
