The Softlogic Systems AWS DevOps Engineer Course Syllabus is specifically designed for College Students, Freshers, and Job Seekers. Our AWS DevOps Engineer Course Syllabus covers the key concepts, including CI/CD pipelines, infrastructure as code with AWS CloudFormation and Terraform, configuration management with Ansible and AWS Systems Manager, containerization using Docker and Kubernetes, and monitoring with CloudWatch and CloudTrail. Our AWS DevOps Engineer Course Content helps you learn AWS DevOps Engineer Course Step by Step with real-time projects and Interview Preparations.
AWS DevOps Engineer Course syllabus
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Syllabus for The AWS DevOps Engineer Course
PYTHON BASICS
- Introduction
- Why Python?
- Installing Python
- Types in Python
- Integers & Floats
- String
- Booleans
- None
- Lists
- Dictionary
- Other Data Types
- Statements in Python
- If
- Loops
- Break & Continue
- While
- Exceptions in Python
- Functions
- File Management in Python
- Yield
- Lambda Functions
- Object Oriented Programming with Python
- Classes
- Methods
- Constructors
- Instance & Class Attributes
- Inheritance & Polymorphism
- Python Tips & Tricks
- Strings & Collections
- Modularity
- Handling Exceptions
LINUX BASICS
- Overview
- Understanding Linux Architecture
- Shell and Kernel Overview
- Linux Distributions
- Using Shell
- Exploring Filesystems
- Working with Text Files
- Process Management
- Package Management
- Managing User Accounts
- Disk & Filesystem management
- Linux Networking
- Service Management in Linux
- Server Configurations in Linux
- Troubleshooting in Linux
SHELL SCRIPTING
- Why and What of Shell Scripting
- Shell Terminals
- Creation & Execution of Shell Scripts
- Variables & Variable Scopes
- Conditions in Shell Scripts
- Iterating with loops
- Functions in Shell Scripts
- Regular Expressions
- Command Piping with grep
- AWK Fundamentals
AWS
- Global Infrastructure
- Backbone Network
- Regions
- Availability Zones
- Points of Presence
- Custom Hardware
VIRTUAL PRIVATE CLOUD (VPC)
- VPC
- Subnets
- Network ACLs and Security Groups
- Elastic Network Interfaces (ENI)
- Internet Gateways
- NAT Gateway
- VPC Peering
- Elastic Ips
LOAD BALANCING
- Basics
- Classic Load Balancer
- Application Load Balancer
- Network Load Balancer
- Auto Scaling Groups
- Route 53
- Content Delivery Network (CDN)
IDENTITY AND ACCESS MANAGEMENT (IAM)
- Users
- Groups
- Roles
- Policies
- Custom Policies
- Multi Factor Authentication
- AWS Organizations and Service Control Policies
- Operation Modes
AMAZON ELASTIC COMPUTE CLOUD (EC2)
- Instance Types
- EC2 Instance Families
- EC2 Purchasing Options
CLOUDWATCH
- Monitoring and logging basics
- CloudWatch Metrics
- CloudWatch Alarms
- CloudWatch Billing Alarms
- CloudWatch Free tier Billing Alerts
- CloudWatch Logs
- CloudWatch Log Agent
- CloudWatch Log Insights
- CloudWatch Events
- CloudWatch and Simple Notification Services Integration
CLOUDTRAIL
- CloudTrail Workflow
- Concepts
- CloudTrail Log Files
- CloudTrail Events
SIMPLE NOTIFICATION SERVICE (SNS)
- Introduction
- SNS Topics
- SNS Push Notifications
AMAZON RELATIONAL DATABASE SERVICES
- Overview of Relational Databases
- RDS Instances and RDS Instance Sizes
- Supported Databases
- Option Groups
- Subnet Groups
- Parameter Groups
- Why Aurora Database?
- Snapshots
- Automated Backups
- Reserved Instances
- Replications
SIMPLE STORAGE SERVICE (S3)
- Architectural Overview
- Buckets
- Objects and Folders
- Storage Tiers
- Lifecycle policies
- Versioning
- Locking
- Access to S3 Buckets
- Static Website Hosting
- S3 Cross Region Replications
- S3 Bucket Policies
ELASTIC BLOCK STORAGE
- Hard disk Basics
- EBS Types
- EBS vs Instance Storage
- Volume
- EBS Snapshots
- Backups & Replications
- Mounting EBS Volumes
- Troubleshooting
- ELASTIC BLOCK STORAGE
- Operating Modes
CLOUD FORMATION
- Concepts
- How CloudFormation Works
- Templating Basics
- Json/YAML
- Template Anatomy
- Resources
- Helper Scripts
- Stacks
Devops
- Why DevOps
- What is DevOps
- What is SDLC
- What is Agile and Scrum
- Problem That DevOps Solves
GIT
- Version Control Basics
- Commits and Revisions
- Branches
- Stashing
- Branching In Depth
- Rebase
- Tagging
- Sub-Projects with Sub-Modules and SubTrees
- Git Hooks
- Git Administration
- Git Flow
JENKINS
- Jenkins Installation
- Jenkins Distributed Build Setup (Multi node configuration)
- Jenkins Administration
- Jenkins Views and Free Style Projects
- Parametrization and Up/DownStream Projects
- Jenkins Pipelines , Groovy and Jenkins DSL
- Jenkins Integrations
- Multi Branch Jenkins Pipelines
- Jenkins Agents
DOCKER
- Docker Overview
- Building Container Images
- Storing and Distributing Images
- Managing Containers
- Docker Networking
- Docker Volumes (Storage)
ANSIBLE ESSENTIALS
- Static Inventories
- Common Modules
- Playbook syntax
- Conditionals
- Error Handling
- Variables and Facts
- Templates
- Roles and Ansible Galaxy
Conclusion
The AWS DevOps Engineer Course Syllabus above is for college students, people who have just graduated, and those looking for a job. Our Softlogic Systems provides a syllabus about AWS DevOps Engineer, including CI/CD pipelines, infrastructure as code with AWS CloudFormation and Terraform, configuration management with Ansible and AWS Systems Manager, containerization using Docker and Kubernetes, and monitoring with CloudWatch and CloudTrail. After completing this syllabus, you will do projects, prepare for job interviews, and apply for jobs. By learning step by step, AWS DevOps Engineer will help students get a job placement. The goal is to make students learn AWS DevOps Engineer in a way that helps them get a job.
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FAQs
Differentiating AWS CodePipeline from AWS CodeDeploy
AWS CodePipeline functions as a continuous integration and continuous delivery (CI/CD) service connecting the build, test, and deployment phases within your release process. It manages the flow of code alterations throughout your CI/CD pipeline.
The deployment of code is automated by AWS CodeDeploy to various environments including Amazon EC2 instances, on-premises setups, or serverless Lambda functions. It ensures consistent and reproducible application deployment, offering features such as blue-green deployments and canary deployments.
What are the skills required for AWS DevOps engineer?
An AWS DevOps engineer needs skills in AWS services (like EC2, S3), infrastructure as code tools (like CloudFormation or Terraform), CI/CD pipelines, scripting languages (like Python, Shell), and good problem-solving abilities.
Is AWS DevOps a good career?
Yes, AWS DevOps is a promising career choice. With the increasing demand for cloud-based solutions and automation in software development, expertise in AWS services combined with DevOps practices can lead to rewarding opportunities in the tech industry with good pay and job security.
Is AWS DevOps a good career?
Yes, AWS DevOps offers a promising career path due to high demand and the need for streamlined development and operations.
Implementing Infrastructure as Code (IaC) in AWS DevOps:
Infrastructure as code (IaC) does the managing and provisioning of infrastructure resources using code, without using manual configurations. In AWS DevOps, you can utilize services like AWS CloudFormation, AWS CDK (Cloud Development Kit), or Terraform for declaratively managing AWS resources through code.
Is AWS DevOps easy to learn?
AWS DevOps can be challenging to learn, depending on your background. It involves mastering AWS services, automation tools, CI/CD pipelines, and infrastructure management, requiring dedication and practice.
Does AWS DevOps need coding?
Yes, coding is crucial in AWS DevOps. It involves using languages like Python or Bash to automate tasks such as setting up and managing AWS resources. This helps streamline processes and collaboration between development and operations teams.
Does AWS DevOps need coding?
Yes, coding is crucial in AWS DevOps. It involves using languages like Python or Bash to automate tasks such as setting up and managing AWS resources. This helps streamline processes and collaboration between development and operations teams.
Is AWS DevOps still in demand?
Yes, AWS DevOps remains highly in demand as companies increasingly adopt cloud infrastructure and automation. Businesses seek professionals who can effectively manage and optimize AWS services, implement DevOps practices, and streamline development processes. This demand is expected to continue due to the ongoing growth of cloud computing technologies.
Do we need coding for AWS DevOps?
Yes, knowing how to code is important for AWS DevOps. You’ll use languages like Python or Shell scripts to automate tasks and manage AWS resources efficiently.
Best Practices for Securing AWS Resources in a DevOps Environment
- Enforce least privilege access by utilizing AWS IAM roles and policies.
- Enable encryption for data at rest and in transit, leveraging AWS services such as AWS Key Management Service (KMS) and Amazon VPC.
- Perform regular security scans using AWS Inspector or third-party tools.
- Implement logging and monitoring through services like AWS CloudWatch Logs and AWS CloudTrail for tracking and auditing changes to your AWS environment.
Is AWS DevOps still in demand?
Yes, AWS DevOps remains highly in demand as companies increasingly adopt cloud infrastructure and automation. Businesses seek professionals who can effectively manage and optimize AWS services, implement DevOps practices, and streamline development processes. This demand is expected to continue due to the ongoing growth of cloud computing technologies.
Is AWS DevOps a good career?
Yes, pursuing a career in AWS DevOps is promising because there’s high demand for professionals skilled in managing cloud infrastructure, automation, and CI/CD practices.
How does SLA deal with student grievances?
SLA has a specially and specifically designated HR department with an HR officer onboard who will look into students grievances and issues.
How does SLA deal with student grievances?
SLA has a specially and specifically designated HR department with an HR officer onboard who will look into students grievances and issues.
Achieving High Availability and Fault Tolerance in AWS DevOps Architecture
- Ensure fault tolerance by distributing your application across multiple AWS Availability Zones (AZs).
- Utilize AWS Auto Scaling to dynamically adjust the number of EC2 instances or containers based on demand.
- Implement health checks and load balancers, like AWS Elastic Load Balancing, for evenly distributing traffic across instances and AZs.
- Design your application to be stateless and horizontally scalable, facilitating easy recovery and scaling.
Can I still join job placement events if I already have a job offer?
Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading AWS DevOps course in Chennai, featuring placement support.
Can I still join job placement events if I already have a job offer?
Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading AWS DevOps online course, featuring placement support.
Can I still join job placement events if I already have a job offer?
Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading AWS DevOps course in OMR, featuring placement support.
Benefits of AWS Elastic Beanstalk in AWS DevOps
- AWS Elastic Beanstalk offers a platform as a service (PaaS) solution simplifying the deployment and management of applications.
- It automates the provisioning of resources such as EC2 instances, load balancers, and databases based on your application’s needs.
- Supporting various programming languages and frameworks, Elastic Beanstalk streamlines the deployment of diverse applications.
- It seamlessly integrates with other AWS services like CloudWatch, providing monitoring and auto-scaling functionalities right out of the box

















