This course covers the fundamentals of AWS cloud services and DevOps practices. It focuses on deploying and managing scalable applications using tools like EC2, S3, Lambda, Docker, Jenkins, and Kubernetes. Learners gain hands-on experience with CI/CD pipelines, infrastructure as code, and cloud automation. Ideal for those preparing for roles in cloud engineering or certifications like AWS Solutions Architect or DevOps Engineer.
Propgram Duration
3.5 Months
Time Commitment
12-15 Hrs/Week
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Master AWS and DevOps together—learn to deploy, automate, and manage cloud-native applications using EC2, S3, Docker, Jenkins, and Kubernetes. Build CI/CD pipelines and adopt Infrastructure as Code with real-world tools like Terraform and CloudFormation.
Work hands-on in live AWS environments while applying DevOps principles. Set up pipelines, containerize apps with Docker, orchestrate with Kubernetes, and automate workflows with Jenkins and Lambda.
Start with core AWS services and scale up to advanced DevOps automation. Learn to provision infrastructure, manage deployments, and monitor performance—all aligned with industry best practices and certification goals.
This module introduces the fundamentals of DevOps, focusing on its purpose, principles, and role in modern software development. You'll explore why DevOps is important, how it bridges the gap between development and operations, and the skills required to become a DevOps engineer. The module also covers the DevOps delivery pipeline and ecosystem, along with current market trends.
1.Understanding the need for DevOps in modern software development
2.Exploring the definition, principles, and goals of DevOps
3.Current trends, adoption stats, and industry insights
4.Key technical and soft skills required for DevOps roles
5.Overview of the DevOps delivery pipeline from development to deployment
6.Tools, platforms, and practices that make up the DevOps environment
This module introduces version control systems with a focus on Git, the most widely used version control tool in the DevOps ecosystem. You'll learn the fundamentals of version control, understand Git’s role in collaborative development, and explore common Git commands. The module also covers working with remote repositories and installing Git for your development environment.
1.What is version control and why it's essential in software development
2.Understanding what Git is and how it works
3.Why Git is a valuable tool for your organization
4.How to install and configure Git on different operating systems
5.Common Git commands for managing repositories
6.Working with remote repositories for collaboration and code sharing
This module covers advanced Git practices and introduces key DevOps tools—Jenkins and Maven. You'll explore branching and merging strategies, learn standard Git workflows, and utilize a Git cheatsheet for efficient usage. The module also introduces Continuous Integration (CI), its importance in modern development, and how Jenkins automates builds and deployments. Additionally, you'll gain insight into Maven for project build and dependency management.
1.Working with branches and merging changes in Git
2.Understanding common Git workflows like GitFlow and feature branching
3.Quick reference guide to essential Git commands
4.What is CI and why it is important in modern development pipelines
5.Overview of Jenkins with its architecture and use in CI
6.Understanding Maven for project build automation and dependency management
This module dives deeper into Continuous Integration by focusing on Jenkins. You’ll learn how to manage Jenkins, configure slave nodes, and implement a complete CI pipeline. The module emphasizes 'Pipeline as Code' for automating workflows and walks through building and executing pipelines to streamline the delivery process.
1.Managing Jenkins configurations and system settings
2.Adding and configuring slave nodes in Jenkins
3.Building a continuous delivery pipeline in Jenkins
4.Implementing pipelines using Jenkinsfile and scripted/declarative syntax
5.Setting up and running Jenkins for CI workflows
6.Creating and managing a series of pipeline jobs using Jenkins
This module introduces Docker as a tool for containerization in the deployment phase of DevOps. You’ll learn the fundamentals of Docker containers, how to create and manage them, and how to build custom images using Dockerfiles. The module also covers Docker Compose for managing multi-container applications and publishing images to Docker Hub for sharing.
1.Understanding Docker and the role of containerization in DevOps
2.Differences between Docker images and containers
3.Running 'Hello World' in Docker
4.Introduction to containers and their life cycle
5.Sharing and copying base images
6.Creating custom images using Dockerfile
7.Running and managing Docker containers
8.Publishing Docker images to Docker Hub
9.Using Docker Compose to manage multi-container applications
This module focuses on Kubernetes, the leading container orchestration platform. You'll learn the fundamentals of Kubernetes architecture, how to install and configure a cluster, and work with essential concepts like pods, namespaces, and replica sets. The module also covers deploying applications using YAML and Helm, managing services, and using the Kubernetes Dashboard for visualization and control.
1.Overview of Kubernetes and its role in container orchestration
2.Understanding the components of Kubernetes architecture
3.Installing and setting up Kubernetes
4.Working with Pods, Namespaces, Clusters, and Replica Sets
5.Spinning up a Kubernetes cluster on Ubuntu VMs
6.Exploring and interacting with your Kubernetes cluster
7.Using YAML files for resource configuration
8.Introduction to HELM and managing applications with Helm Charts
9.Creating deployments using YAML files
10.Creating and managing services in Kubernetes
11.Installing and using the Kubernetes Dashboard
12.Deploying applications through the Kubernetes Dashboard
13.Implementing rolling updates in Kubernetes
14.Understanding container orchestration and Kubernetes's role
This module introduces Ansible, an open-source automation tool for configuration management, application deployment, and task automation. You’ll learn about Ansible's architecture, installation, and the essential concepts like inventory, hosts, and groups. The module also covers YAML scripting and writing effective Ansible playbooks to automate tasks across your infrastructure.
1.Overview of Ansible and its role in configuration management
2.Installing and setting up Ansible on your system
3.Understanding the architecture and components of Ansible
4.Requirements for the Ansible control machine
5.Setting up and configuring node machines for Ansible management
6.Working with Ansible inventory files to define hosts and groups
7.Organizing hosts and grouping them for easier management
8.Introduction to YAML for writing Ansible scripts
9.Writing and executing Ansible playbooks to automate tasks
10.Best practices for writing efficient and maintainable Ansible playbooks
This module covers continuous monitoring using Nagios and the ELK stack. You'll learn the fundamentals of monitoring, how to install Nagios and ELK, and configure Nagios plugins for enhanced monitoring. The module also explores using Nagios commands and notifications, and working with the ELK stack for log management and visualization.
1.Introduction to continuous monitoring and its importance in DevOps
2.Overview of Nagios and the ELK stack for monitoring and logging
3.Installing and setting up Nagios and the ELK stack
4.Using Nagios plugins (NRPE) for extended monitoring capabilities
5.Configuring Nagios commands and setting up notifications for alerts
6.Leveraging the ELK stack (Elasticsearch, Logstash, Kibana) for log collection, storage, and visualization
This module introduces cloud computing and the role of DevOps in cloud environments. You will learn why cloud adoption is essential in modern development and how DevOps enhances the cloud experience. The module covers an overview of AWS, its services, and how to use AWS for implementing DevOps practices.
1.Understanding the need for cloud computing in modern software development
2.Introduction to cloud computing concepts and models (IaaS, PaaS, SaaS)
3.Why DevOps is crucial in cloud environments and its benefits
4.Introduction to Amazon Web Services (AWS) and its significance in DevOps
5.Overview of key AWS services used in DevOps workflows (EC2, S3, Lambda, etc.)
6.Implementing DevOps practices using AWS tools and services
Learn how to detect, classify, communicate, and resolve production issues, along with providing a workaround and RCA.
Set up and manage scalable infrastructure on AWS using EC2, VPC, and IAM, ensuring high availability and performance.
Implement a CI/CD pipeline using AWS CodePipeline and CodeBuild to automate testing and deployment of applications.
Start in a customized cohort and forge meaningful connections who will be your allies on this journey.
Select the right mentor for guidance and gain invaluable insights to boost your career.
Engage with instructors and connect with your peers in real-time
Assignments & Home Works
Guidance from Pro Mentors
Hands-on practice in real-world cloud environment
Problem-solving support
Problem & Solution
1:1 Teaching Assistant over chat & video call
Engage with instructors and connect with your peers in real-time
Assignments & Home Works
Guidance from Pro Mentors
Hands-on practice in real-world cloud environment
Problem-solving support
Problem & Solution
1:1 Teaching Assistant over chat & video call
Assignments & Home Works
Guidance from Pro Mentors
Problem & Solution
Engage with instructors and connect with your peers in real-time
Hands-on practice in real-world cloud environment
Problem-solving support
1:1 Teaching Assistant over chat & video call
Practically apply your skills through interview simulations post-module.
Build an impactful, professional resume with expert mentorship.
Focused training to excel in tech recruitment processes.
End-to-end assistance to secure your dream job.
This course is a must for anyone preparing for system design interviews! The real-world case studies on Uber, Netflix, and WhatsApp helped me understand how large-scale applications work. The explanations on microservices and database scaling were crystal clear. Highly recommended!.
Great content with detailed coverage of caching, message queues, and load balancing. The instructor explained concepts in a structured way, making them easy to grasp. I just wish there were more coding exercises to practice system design problems.
As a backend developer, this course helped me improve my architectural thinking. Learning about CAP theorem, database sharding, and security best practices gave me a deeper understanding of system scalability. Definitely worth it!.
The course is specifically designed for Engineering students doing bachelor and master degree who wish to expand their knowledge in Automation Industrial persons and faculty members who would like to develop capabilities in Automation Individuals seeking career in domains in Industrial automation applications Graduates who seek job in electrical, instrumentation, automation domain.
This course is designed to include all requirements for a power electronic / Automation engineer or those required for research level jobs.
With the evolution of automation technologies, the importance of Instrumentation, Control and Automation usage is increased significantly. Therefore, it is essential for an electrical / instrumentation engineer to understand this field thoroughly. In this course, students will get detailed theoretical knowledge and design insights with their control schemes. With this knowledge, students will be able to design, simulate and analyze the machine or process better.
As mentioned earlier as well, this course is designed to not only cover the basic concepts but also applications in the industrial systems. Further, from basic switching mode converter to details on the modulation scheme principle, all basics are covered in detail. Additionally, the techniques to control the industry scale products are also discussed. The challenges and projects given in this course, which students will be solving are indegineously designed to train them in handling any industrial problem. Therefore, the skill sets obtained by the student as a part of this course will help him to not only crack the entrance or technical interview for such jobs but also to lead any industrial challenge as a part of his job profile related to this field.
Today, Automation components are prominently used in majorly all industrial system since the industrial revolution in Industry 4.0 has taken by storm. The major players in this area are ABB, Siemens, Fuji, Rockwell, Emerson, Mitsubishi, Alstom, Hitachi etc. These companies supply and use various products like PLC, HMI, DCS, SCADA, HMI, IIoT, Field Instrumentation, Analyzers etc. The techniques taught in this course will be directly applied to design and analyse these systems and thus in above mentioned industries.