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Devops, Cloud Engineering

Streamline development and operations with our DevOps and Cloud Engineering course. Learn cutting-edge tools and practices at igeeks technologies. Enroll now

  • • Project Based Learning
  • • Industry Expert Trainers
  • • 1:1 Mentorship
  • • Internship Opportunities
  • • Placement Assistance
  • • Project Based Learning
  • • Industry Expert Trainers
  • • 1:1 Mentorship
  • • Internship Opportunities
  • • Placement Assistance

AWS DevOps Master Program

The AWS DevOps Course is a comprehensive and cutting- edge program that empowers participants with the skills and expertise required to excel in the dynamic realm of DevOps within the Amazon Web Services (AWS) ecosystem. This course covers a wide array of topics, including infrastructure automation, continuous integration and continuous delivery (CI/CD), cloud architecture, security, and monitoring.
Through practical exercises and real-world projects, participants will cultivate the practical skills necessary to effectively manage and deploy applications on AWS infrastructure. They will learn how to ensure security and compliance in a cloud environment, implement automated testing strategies, and utilize monitoring and logging tools to maintain and improve application performance.
Designed for individuals aiming to enhance their DevOps skills or pursue a career in AWS DevOps, this course equips participants with the tools and knowledge to thrive in a rapidly evolving field. As organizations increasingly seek professionals capable of bridging the gap between development and operations using AWS technologies, this course provides a solid foundation to excel in the realm of DevOps within the AWS landscape. With the combination of AWS expertise and DevOps principles, participants will be well-prepared to contribute to the success of organizations across diverse industries.

Program Highlights

Comprehensive Curriculum
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  • The Cloud and devops Course offers a well-rounded and comprehensive curriculum that covers all key aspects of Cloud Engineering such as AWS / Azure / GCP
Hands-on Exercises and Real-world Projects
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  • The course emphasizes practical application and provides numerous hands-on exercises and real-world projects. This approach allows participants to apply their knowledge to actual cloud and scenarios, gaining valuable experience and building confidence in their cloud computing skills.
Experienced Instructors
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  • The program is led by experienced instructors who have in-depth expertise in Devops. They provide guidance, support, and feedback throughout the course, ensuring that participants have a clear understanding of the concepts and techniques covered.
Mentorship
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  • The program offers personalized one-to-one mentorship to participants. Each participant is paired with an experienced cloud Expert who serves as their mentor throughout the course. The mentor provides individualized guidance, support, and feedback, helping participants address specific challenges, deepen their understanding of concepts, and refine their cloud and Devops skills
Dedicated Career Assistance
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  • The course provides dedicated career support and assistance, including resume building, interview preparation, and job search strategies specific to data analysis roles. Participants also receive insights into the latest trends and job market demands in Cloud Devops, helping them align their skills with industry needs

Program Curriculum

  • • What is cloud computing?
  • • Various cloud computing products offered by AWS
  • • Introduction to AWS S3, EC2, VPC, EBS, ELB, AMI
  • • Getting a detailed understanding of the AWS architecture and the AWS Management Console
  • • Introduction to AWS EC2
  • •Comparing Public IP and Elastic IP
  • •Demonstrating how to launch an AWS EC2 instance What is autoscaling?
  • •Understanding various concepts of backup services in AWS
  • • Elastic Block Storage (EBS) for block-level persistent storage volumes with S3 buckets
  • • Understanding Amazon RDS and Amazon Aurora which are relational databases Amazon DynamoDB which is a NoSQL database
  • • Understanding Amazon Redshift which is a data warehousing product
  • • Amazon ElasticCache which is an in-memory data store
  • • Deploying AWS database migration service
    • • Introduction to AWS storage
    • • AWS S3 (Simple Storage Service)
    • • Creating an AWS S3 bucket
    • • AWS Storage Gateway
    • • Understanding the Command Line Interface (CLI)
    • • Hosting a static website using Amazon S3
    • • Amazon Glacier storage for long-term data backup and archiving3
    • • Amazon Snowball for data import/export
  • • Understanding Fault Tolerance in AWS
  • • In-depth study of Elastic Load Balancing
  • • The types of Load Balancers viz. Classic and Application
  • • AWS Auto Scaling mechanism
  • • Studying AWS SDK, AWS CLI, and Https Query API
  • • What is Amazon VPC?
  • • VPC as a networking layer for EC2
  • • VPC and Subnets
  • • Default and non-default VPCs
  • • Components of VPC networking
  • • IP Addressing
  • • Security
  • • VPN connections
  • • Accessing the internet
  • • Using AWS PrivateLink to access the services
  • • VPC supported platforms
  • • Performance testing
  • • Load testing
  • • Stress testing
  • • Security testing
  • • Compatibility testing
  • Introduction to various AWS application services
  • • Elastic Beanstalk
  • • Simple Email Services (SES)
  • • Simple Notification Service (SNS)
  • • AWS Lambda Elastic OpsWorks and CLI
  • •Authentication (who can use) and Authorization (level of access)
  • •IAM Policies – JSON structure, users, groups, and their Roles
  • •IAM HTTPS API
  • •Logging IAM events with AWS CloudTrail
  • •Monitoring and managing AWS resources using CloudWatch
  • •Deploying configuration alerts and notifications with CloudWatch
  • •Billing for CloudWatch
  • • Configuration management and automation of server configuration using OpsWorks
  • • Determining how servers are configured, managed, and deployed across EC2 instances Creating a virtual machine using Amazon Machine Image (AMI)
  • • Introduction to the Domain Name Registration Service AWS Route 53
  • •How to route internet traffic to resources?
  • •Checking the health of resources automatically Provisioning of infrastructure resources using AWS CloudFormation
  • • What is software development?
  • • Development Life Cycle
  • •Traditional Models for SDLC
  • •Why and What is DevOps?
  • •DevOps Lifecycle
  • • DevOps Tools
  • •Installation of DevOps Tools Git, Docker, Selenium, Maven, Jenkins, Ansible, Kubernetes
  • • What is Version Control?
  • • Types of Version Control Systems
  • • Introduction to SVN
  • • Introduction to Git
  • • Git Lifecycle
  • • Common Git Commands
  • • Working with Branches in Git
  • • Merging Branches
  • • Resolving Merge Conflicts
  • • Git Workflow
  • •Containerization using Docker
  • •Introduction to Docker Understanding Docker Lifecycle
  • •Components of the Docker Ecosystem
  • •Common Docker Operations
  • • Creating a DockerHub Account
  • • Committing changes in a Container
  • •Pushing a Container Image to DockerHub
  • • Creating Custom Docker Images using Dockerfile What are Docker volumes?
  • • Deploying a Multi-Tier Application using Docker Network Using Docker Compose to deploy containers
  • •What is container orchestration?
  • •Container Orchestration Tools
  • •Introduction to Docker Swarm
  • • Deploying a 2-Node Cluster using Docker Swarm
  • •What is Ansible?
  • • Ansible Architecture
  • • Setting up Master Slave using Ansible Ansible Playbook Ansible Roles
  • •Applying configuration using Ansible
  • • What is continuous testing?
  • • What is Maven?
  • • Running Test Cases on Chromium Web Driver What is Headless Mode?
  • •Introduction to Continuous Integration
  • •Jenkins Master Slave Architecture
  • • Understanding CI/CD Pipelines
  • • Creating an end to end automated CI/CD Pipeline
  • •Introduction to Kubernetes
  • •Docker Swarm vs. Kubernetes
  • •Kubernetes Architecture
  • •Deploying Kubernetes using Kubeadms
  • •Alternate ways of deploying Kubernetes
  • • YAML Files
  • •Creating a Deployment in Kubernetes using YAML
  • •Services in Kubernetes
  • •Ingress in Kubernetes
  • •How to deploy DevOps principles and methodology on the AWS platform DevOps lifecycle and the important stages in the DevOps methodology What is AWS CodeBuild?
  • •AWS CodeCommit
  • •AWS CodePipeline
  • •AWS CodeDeploy
  • •Installing Terraform – Windows Users
  • •Installing Terraform – Linux Users
  • •Choosing Right IDE for Terraform IAC development Creating first EC2 instance with Terraform
  • • Terraform Code – First EC2 Instance
  • • Understanding Resources and Providers
  • • Destroying Infrastructure with Terraform
  • •Destroying Specific Resource
  • •Understanding Terraform State files
  • •Understanding Desired and Current States
  • •Challenges with the current state of computed values Terraform Commands – State Files
  • •Terraform Provider Versioning
  • •Types of Terraform Providers
  • •Understanding Attributes and Output Values in Terraform
  • • Attribute Resource (Document)
  • •Referencing Cross-Account Resource Attributes
  • • Terraform Variables
  • •Data Types for Variables
  • •Fetching Data from Maps and List in Variable
  • •Terraform Format
  • •Validating Terraform Configuration Files
  • •Deploying and end-to-end architecture on AWS using Terraform

Career Opportunities

  • AWS DevOps offers a wide range of opportunities as organizations continue to adopt cloud computing and DevOps practices to improve their software development and IT operations. Here are some career opportunities you can explore within the AWS DevOps domain:
1.DevOps Engineer:
  •   DevOps engineers are responsible for bridging the gap between development and operations teams by implementing and managing CI/CD pipelines, automation tools, and infrastructure as code. They ensure smooth and efficient collaboration to deliver high-quality software.
2.Cloud Engineer:
  •   Cloud engineers specialize in designing, deploying, and managing cloud infrastructure. In an AWS DevOps context, they work on creating scalable and resilient architectures using AWS services while implementing best practices for security and performance.
3.AWS Infrastructure Architect:
  •   Infrastructure architects design and implement AWS based solutions, considering factors like scalability, security, and cost optimization. They create blueprints for cloud infrastructure and work closely with development and operations teams.
4.Automation Engineer:
  •   Automation engineers develop and maintain scripts and tools that automate various processes, including provisioning, configuration management, and deployment. They help reduce manual efforts and increase efficiency.
5.Continuous Integration/Continuous Deployment (CI/CD) Specialist:
  •   Specialists in CI/CD focus on building and maintaining automated pipelines for code integration, testing, and deployment. They help development teams achieve faster and more reliable software releases.
  •   The demand for professionals with AWS DevOps expertise is consistently growing as more businesses adopt cloud solutions and DevOps practices. These roles often require a mix of technical skills, collaboration abilities, and a deep understanding of AWS services and best practices. Continuous learning and staying up-to-date with the evolving AWS ecosystem will be crucial for longterm success in this field.
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IGeeks provides internship training on the latest cutting-edge technologies in the industry for easy placements of students. We provide hands-on experience on our real-time projects to expose the students to the real-world challenges and industry standards of implementing a project. IGeeks will provide the internship certificate on successful completion of internship parameters.
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