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AWS DevOps Engineer Course syllabus

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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.

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Syllabus for The AWS DevOps Engineer Course

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  • 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
  • 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
  • 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
  • Global Infrastructure
  • Backbone Network
  • Regions
  • Availability Zones
  • Points of Presence
  • Custom Hardware
  • VPC
  • Subnets
  • Network ACLs and Security Groups
  • Elastic Network Interfaces (ENI)
  • Internet Gateways
  • NAT Gateway
  • VPC Peering
  • Elastic Ips
  • Basics
  • Classic Load Balancer
  • Application Load Balancer
  • Network Load Balancer
  • Auto Scaling Groups
  • Route 53
  • Content Delivery Network (CDN)
  • Users
  • Groups
  • Roles
  • Policies
  • Custom Policies
  • Multi Factor Authentication
  • AWS Organizations and Service Control Policies
  • Operation Modes
  • Instance Types
  • EC2 Instance Families
  • EC2 Purchasing Options
  • 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 Workflow
  • Concepts
  • CloudTrail Log Files
  • CloudTrail Events
  • Introduction
  • SNS Topics
  • SNS Push Notifications
  • 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
  • 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
  • Hard disk Basics
  • EBS Types
  • EBS vs Instance Storage
  • Volume
  • EBS Snapshots
  • Backups & Replications
  • Mounting EBS Volumes
  • Troubleshooting
  • ELASTIC BLOCK STORAGE
  • Operating Modes
  • Concepts
  • How CloudFormation Works
  • Templating Basics
  • Json/YAML
  • Template Anatomy
  • Resources
  • Helper Scripts
  • Stacks
  • Why DevOps
  • What is DevOps
  • What is SDLC
  • What is Agile and Scrum
  • Problem That DevOps Solves
  • 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 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 Overview
  • Building Container Images
  • Storing and Distributing Images
  • Managing Containers
  • Docker Networking
  • Docker Volumes (Storage)
  • 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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Google Reviews

Rating
4.8
1,053 Google reviews

Shaaru Menan

I had a 3 year career break. Joined SLA on Java Full Stack course and completed it.Did projects with the help of my Mentor. They…
Click here for Full Review

 Surya

 Special thanks to Vishal Sir, the Placement Officer, for his interview guidance, resume support, and continuous motivation throughout the placement process. I would also like…
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NalluKumar Ravichandran

Hi, I recently completed the DOT NET Full Stack Development course at SLA, and I had a great learning experience. The teaching style and student…
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MATHAN KUMAR G EEE

SLA Institute provides a structured learning environment for data analytics. The syllabus is relevant, and trainers are knowledgeable. Some sessions were very useful practically, while…
Click here for Full Review

SARAN M

SLA Institute provides training in communication and aptitude along with strong technical skills. The trainers explain concepts clearly with a practical approach, which helps build…
Click here for Full Review

Nithish Sahoo

I had an excellent experience taking this DevOps course. The curriculum is well-structured and covers both fundamental and advanced DevOps concepts in a clear manner.…
Click here for Full Review

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FAQs

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.

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.

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.

Yes, AWS DevOps offers a promising career path due to high demand and the need for streamlined development and operations.

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.

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.

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.

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.

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.

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.

  • 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.

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.

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.

SLA has a specially and specifically designated HR department with an HR officer onboard who will look into students grievances and issues.

SLA has a specially and specifically designated HR department with an HR officer onboard who will look into students grievances and issues.

  • 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.

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.

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.

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.

  • 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

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Google Reviews

Rating
4.8
1,053 Google reviews

Shaaru Menan

I had a 3 year career break. Joined SLA on Java Full Stack course and completed it.Did projects with the help of my Mentor. They…
Click here for Full Review

 Surya

 Special thanks to Vishal Sir, the Placement Officer, for his interview guidance, resume support, and continuous motivation throughout the placement process. I would also like…
Click here for Full Review

NalluKumar Ravichandran

Hi, I recently completed the DOT NET Full Stack Development course at SLA, and I had a great learning experience. The teaching style and student…
Click here for Full Review

MATHAN KUMAR G EEE

SLA Institute provides a structured learning environment for data analytics. The syllabus is relevant, and trainers are knowledgeable. Some sessions were very useful practically, while…
Click here for Full Review

SARAN M

SLA Institute provides training in communication and aptitude along with strong technical skills. The trainers explain concepts clearly with a practical approach, which helps build…
Click here for Full Review

Nithish Sahoo

I had an excellent experience taking this DevOps course. The curriculum is well-structured and covers both fundamental and advanced DevOps concepts in a clear manner.…
Click here for Full Review

Discover What Our Students Have To Say

See More Reviews

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