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Key Features

Course Duration : 3.5 months

Real-Time Projects : 2

Instructor-Led Training

EMI Option Available

Certification & Job Assistance

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Our Industry Expert Trainer

We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.

DevOps with AWS Training Overview

DevOps with AWS Course Overview

Our AWS & DevOps Course is designed to provide comprehensive training in the integration of AWS cloud services with DevOps practices, ensuring that you gain the expertise needed to excel in cloud and automation. The AWS DevOps course is ideal for professionals looking to specialize in AWS Cloud and DevOps methodologies. Whether you’re seeking AWS certification training or aiming for an AWS Cloud Practitioner certification, this course has it all.

The AWS DevOps courses offer a detailed curriculum that covers essential topics, including automation, continuous integration/continuous delivery (CI/CD), and infrastructure as code. The DevOps AWS course provides you with a practical understanding of DevOps tools like Jenkins, Docker, and Kubernetes, integrated with AWS. We also offer AWS training and certification to help you prepare for industry-recognized certifications.

Our training includes AWS DevOps classes in Pune, with 100% job assistance, ensuring that students receive guidance throughout the job search process. You’ll also benefit from placement support to help you get placed in top tech companies. This course is perfect for those looking to enhance their career with AWS & DevOps training, offering real-world application and skills. Enroll now to get started on your journey to AWS certification and a successful career in cloud computing.

What does it mean by Short Term Job Oriented DevOps with AWS Package Course?

The AWS Package Course for Short-Term Job-Oriented DevOps is a specialized educational program that imparts the knowledge and abilities required to pursue a profession in DevOps. The course focuses on utilizing Amazon Web Services (AWS) as a foundational infrastructure and delivery platform for software development. Students will be prepared for immediate employment in the dynamic and fast-paced disciplines of DevOps and cloud computing through this one-of-a-kind course.

Essential aspects of this course consist of the following:

 

DevOps Fundamentals: This course covers the ideas, techniques, and practices fundamental to DevOps. To improve software development and delivery processes, including continuous integration and continuous delivery (CI/CD), it places a strong emphasis on the cooperation between development and operations teams.

 

AWS Infrastructure: This course explores the AWS ecosystem because it is a top cloud service provider. The skills of setting up, configuring, and managing AWS resources—such as virtual servers, storage, databases, and networking services—are taught to students.

 

Automation and Orchestration: Ansible, Puppet, and Terraform are a few examples of configuration management systems and automation technologies that are frequently introduced. Students become proficient in software deployment and infrastructure provisioning automation.

Containerization: Topics such as Kubernetes container orchestration and Docker containerization may be covered. Modern application deployment and DevOps practices are only possible with these tools.

Monitoring and Logging: To find problems and maximize efficiency, DevOps practices that are effective rely on monitoring and logging. For these reasons, students are taught how to use technologies such as AWS CloudWatch and ELK Stack.

 

Security: Throughout the DevOps process, safety is of utmost importance. Best practices for protecting DevOps pipelines and AWS resources are frequently covered in the course.

Projects in the real world: Relevant experience is necessary. Usually, students engage in practical projects that simulate real-world situations. Through these initiatives, they may put their knowledge and expertise to use in solving real-world DevOps problems.

Help with Job Placement: Many institutes that offer these courses also provide career services like interview training, resume development, and help with job placement. With this assistance, students can land DevOps jobs in AWS-using companies.

 By utilizing the strength and scalability of Amazon Web Services, a Short-term Oriented DevOps with AWS Package Course offers a quick route to a career in DevOps. Graduates are highly sought after for DevOps roles in various businesses where cloud computing and continuous integration are essential to success. They possess the abilities required to manage infrastructure, automate tasks, and optimize software delivery processes. This course is an excellent option for people who want to get into or grow in the DevOps profession since it blends practical knowledge, AWS competence, and job-oriented training.

Course Features

Key Features

  • job assistance
  • Real-time module training
  • Interactive sessions
  • Additional self-development sessions
  • Flexible timings

DURATION:

  • 8 Weeks

PREREQUISITES:

  • Basic knowledge of Accounting.

WHO CAN JOIN THIS COURSE?

  • Professionals seeking career in SAP Consulting.
  • SAP End Users
  • SAP Consultants
Why DevOps with AWS Course from 3RI?

Practical Projects

3RI offers you a hands-on project that is a part of every Specialization. To earn your certificate and complete the Specialization, you must complete the project(s). You must complete each of the other courses before beginning the hands-on project course if your Specialization includes such a course.

Achieve a Certificate

Upon completing each course and completing the hands-on project, you’ll earn a certificate to share with potential employers and your professional network. Flexible Schedule

Flexible scheduling

Ensure flexible deadlines are set and maintained.

Advanced Intermediate

This Specialization requires no prior experience with AWS cloud since the first course teaches the fundamentals.

Growth in your career

It is imperative to up-scale yourself these days, particularly with rapidly evolving technology.

You must prove your value to the company, where DevOps can benefit. Your career will grow as a result.

It’s easy to find a job:

DevOps with AWS classes are in high demand, but there are not enough to meet the required roles and responsibilities. Any individual seeking to make a mark for himself has a huge opportunity here, and DevOps can potentially offer a good career opportunity. The DevOps field provides the benefits we all require in today’s market, and a person who excels in this field will enjoy an enriching career.

Due to the increased hiring demand for DevOps professionals, your chances of getting hired quickly increase if you have good hands-on experience with DevOps tools and technologies.

How the Short Term Job Oriented DevOps with AWS Package Course can help you in your career?

A short-term job-oriented DevOps with AWS package course has the potential to change careers entirely. With its focus on expediting the software development and deployment processes, DevOps is in high demand, and one of the top cloud providers is Amazon Web Services (AWS). This course offers a concentrated and practical path to acquire the knowledge and abilities required to succeed in the DevOps and AWS fields.

 

This program, first and foremost, helps development and operations teams work together by giving you a strong foundation in DevOps practises and philosophies. The techniques of automation, continuous integration, and continuous delivery (CI/CD), which are crucial in contemporary software development, will be covered.

 

The course also explores AWS, showing you how to use its cloud services to build, maintain, and grow infrastructure as needed. Because AWS is used by many businesses, becoming proficient with it will increase your employability.

 

Usually discussed topics include automation tools and containerization using Docker and Kubernetes. These are crucial abilities for DevOps professionals to have to manage and roll out apps effectively.

 

The curriculum incorporates real-world projects and hands-on experience to help you apply what you’ve learned in real-world situations. These projects assist you in developing a portfolio that shows off your proficiency in handling actual DevOps problems.

 

Additionally, many institutes that offer these courses help students get jobs by assisting them in customizing their resumes, getting ready for interviews, and making connections with companies in the DevOps and AWS fields.

 

A Short-Term Job Oriented DevOps with AWS Package Course gives you the knowledge, practical experience, and AWS expertise you need to succeed in DevOps roles, whether you’re looking to enter the IT industry or advance your current career. It also offers rewarding and well-compensated career opportunities in an industry where DevOps practices and AWS services are critical.

Future scope of Cloud Computing

It goes beyond what can be effectively communicated on your resume, namely the soft skills. As the link between development, operations, and quality assurance, the DevOps practitioner personally acts in this capacity. Then DevOps might not be a good career choice for you, but it is an excellent career. DevOps can be defined as the merging of software and IT operations development. SDLC, also called the system development life cycle, was sped up with the introduction of DevOps. Agile led to the development of DevOps.

As a result of the DevOps methodology, many software development teams, all working on the same software simultaneously, do not maintain their isolation between them. Each team works collaboratively together to create software. Software developers work on all phases of software development, including implementation, testing, and deployment. Azure DevOps, also known as Microsoft DevOps, is a software-as-a-service platform from Microsoft. It offers a comprehensive set of DevOps tools for software deployment and development and provides end-to-end DevOps support. Additionally, it integrates with other tools as well as includes customization.

Because of the Digital transformation in businesses, many advancements have been made with this job-oriented course. Similarly, the following trends have been observed after adopting cloud computing:

 Improved Agility through AgileOps:

In the last few years, a trend has been hybrid cloud management and multi-cloud management. These strategies have proven highly successful for businesses around the world. AgileOps uses agile working methods to implement IT, operational models, in IT operations.

It leads to the development of high-quality and high-performing applications. As a result, the applications become incredibly stable.

 Microservices Are Getting More Popular:

Using the term “Microservice” means a system can be viewed as a set of services that individuals can work on. In the context of DevOps, it can concentrate on individually formed aspects of the system.

Even though the resultant system is highly complex, this feature ensures that it is delivered on time. When the teams use this approach, they can save time, cost, and resources when developing the system.

The software also provides scalability, quick testing, and ease of maintenance to be deployed quickly. Furthermore, the teams can also customize the solutions according to the needs of the businesses.

 Increasing Adoption of DevOps:

When a team is concerned with achieving a certain level of security within the system, then the DevOps paradigm is applied. Since the pandemic started, many teams worked remotely, opening many security loopholes. In addition, the number of cyberattacks has increased and security has become a primary concern.

DevOps will help businesses maintain agile security measures by implementing them rapidly. Additionally, it offers early vulnerability detection.

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Diploma in DevOps with AWS Course Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

AWS
  1. Introduction to Cloud & AWS
  • Define cloud computing.
  • Cloud computing Infrastructure.
  • Cloud service and deployment models.
  • Common misconceptions about cloud computing.
  • Common cloud Implementations.
  • Architecture discussion
  • Lab preparation
  • AWS account creation
  • Overview of major AWS services
  • Benefits of studying AWS
  1. Identity And Access Management Techniques (IAM)
  • Understand Users, Groups, and Roles
  • Policies and Policy documents
  • Lab creating roles, user, and groups
  • Access control
  • Policy management
  • Lab policy creation
  • Restricting different services for users.
  1. Amazon Elastic Compute Cloud (EC2)
  • Defining EC2 Instances
  • Different type of Images (AMI)
  • Lab creation Linux/Windows EC2 instances
  • Lab connecting to EC2 instances
  • Lab AMI creation
  • Volumes (EBS)
  • Lab volume creation
  • The lab set up a volume once attached to Ec2
  • Lab snapshot creation
  • Lab security Groups
  • Key Pairs
  • Elastic Load Balancing
  • Lab Elastic load balancing
  • Launch configuration
  • Auto-scaling concepts
  • Lab Autoscaling
  • Lab creation of billing alerts
  • Lab Cloud Watch
  1. S3
  • S3 buckets and their usage
  • Lab creating an S3 Bucket
  • Lab uploads and retrieve data from the S3 bucket.
  • Lab giving privileges on to  S3 bucket.
  • Lab on S3 policies and ACLs
  • Lab Life Cycle Management
  • Lab object expiration in S3
  • Lab S3 Versioning
  • S3-RRS, S3-IA and Glacier
  • CORS
  • Lab S3 Policy
  • Lab hosting a website on S3
  1. Networking: Setting up VPC and NAT
  • Lab creation of custom VPC
  • Default VPC concepts
  • Lab CIDR notation
  • Subnets and routing concepts
  • Different methods to connect to custom VPC
  • Lab to create Subnets
  • Lab  ACLs
  • Lab Routing rules.
  • Lab to create security groups at an instance.
  • A lab setting up public and private subnets
  • A lab setting up Internet/Nat gateway
  • Lab Securing your network.
  • Lab Network ACLs
  1. AWS Databases RDS and Dynamodb
  • AWS Database services overview – RDS, DynamoDB, Elasticache, Redshift
  • Lab creating RDS instances
  • Read Replicas
  • RDS scaling concepts
  • RDS Postgres SQL server
  • RDS Oracle Server
  • Database migration Service
  • Lab configuring Multi-AZ failover
  • Lab accessing a database hosted on RDS
  • DynamoDb Core knowledge
  • Scaling with Dynamodb
  • DynamoDb write and read unit calculation
  • Elasticache concepts
  1. SNS, SWF, and SQS
  • Working with the simple notification system.
  • Understanding queuing service.
  • SNS and SQS real-time use case
  • Introduction to SWF and use case
  • Lab on SNS
  1. Application Services
  • R53 and DNS
  • Domain registration
  • R53 routing policies
  • Lab on routing policy setup
  • Routing policies in detail
  • AWS CloudFront
  • AWS Cloud Formation
  • Deployment Using Cloud Formation
  • Direct Connect

PROJECT: WORK AND CASE STUDIES

  • Hands-on workshop/Project: Deploying a web application using AWS services
  • Deploy a Python/Java application to access/create/upload files on S3 through EC2
  • Deploy a Python/Java application to create tables, insert values in DynamoDb through EC2
  • Lab on Kinesis, through cloud formation
  • Designing Fault-tolerant and Highly Available architecture
  • Data Security
  • Backup and Disaster Recovery
  • Deployment on AWS
  • Cost Optimization in AWS

PREPARATION FOR AWS ASSOCIATE CERTIFICATIONS

  • 500+ Practice Questions, in-line with certification.
  • Doubts Clarification Session
  • Resume Preparation Guidance by Expert
  • Interview Preparation by Certified AWS Trainer
DevOps Engineering
  1. DevOps Introduction
  • What is DevOps
  • Need of DevOps
  • DevOps Transition
  • Technical challenges
  • DevOps Market trends
  • DevOps Tools in Market
  • CI-CD overview

 2. Basic Linux and Networking Concepts

  • Architecture and Filesystem of Linux
  • Linux Bash Commands
  • Services, User & Group management
  • Sed, Awk, Cut, Find, echo, printf, cron, etc
  • Loops – while, ForLoop
  • Shell scripting
  • Networking & OS management
  1. Cloud Computing with AWS
  • Fundamentals of Cloud Computing
  • Hypervisors, Bare Metals, KVM/XEN
  • AWS introduction
  • IAAS, SAAS, PAAS
  • EC2, AMI, Securitygroups, Keypair,
  • S3, Public, Elastic IP
  • IAM, Roles, Cloudwatch
  • VPC: Segreatting public, private infrastructure
  • Introduction to ASG, ELB
  1. Source Code Management & Version Control
  • Source Code Management using GitHub
  • UI
  • History & Need of Version Control
  • Centralized VS Distributed version control system
  • Github CommandLine
  • Cloning, Commit, Forking, Merge, ReBase, PullRequest,GitDiff, Logs
  • Exposure to CherryPick
  1. Continuous Integration with Jenkins
  • Jenkins – Installation
  • Jenkins – Configuration
  • Jenkins – Management
  • Jenkins – Setup Build Jobs
  • Integration of JENKINS with GIT
  • Integration of Maven with Jenkins
  • Jenkins Dashboard
  • Remote Builds and user management in Jenkins
  • Exposure to backup & Jenkins Security
  • Build Tools – Maven & exposure to Gradle
  • Pipelines
  1. Monitoring
  • Virtualized infrastructure
  • monitoring using Nagios
  • Installation & maintenance
  • Exposure to Prometheus & Grafana
  1. Ansible
  • Understanding Configuration Management
  • Understanding Configuration Automation
  • Understanding Desired State Configuration Management
  • Understanding Continuous Configuration Automation
  • Understanding Server Client-based Configuration Automation
  • Understanding Remote Configuration Automation
  • Introduction to Ansible tools
  • Ad Hoc commands and Modules
  • Yaml templates
  • Playbooks
  1. Terraform
  • Understanding Infrastructure As A Code
  • What is Terraform
  • JSon templates
  • Managing infrastructure using Terraform
  • Multiple modules
  • Integrating Terraform with AWS
  • Update existing templates
  1. Docker Containers
  • Understanding MicroServices
  • Introduction to Docker & Containers
  • Working with containers
  • Docker CLI
  • Dockerfile templates
  • Docker Hub – Repo, Push, Pull
  1. Kubernetes
  • What is Kubernetes and Need
  • Technical overview of Control
  • Plane & Data Plane
  • Kubernetes cluster provisioning using Kubeadm
  • POD, Deployment, ReplicaSet, Nodes, DaemonSets, InitContainers
  • Command & Args
  • Multi Master architecture and exposure
  • ScaleIn/ScaleOut Ad Hoc on Demand of Microservices
  • Services, Secret, ConfigMap, Volumes, PVC, PV,StorageClass

PROJECT WORK

  • WebBased application using Tomcat, Apache, EC2, Maven, Jenkins, Git for CI-CD flow.
  • CI-CD flow using EC2 with Git,Jenkins, Ansible.
  • CI-CD flow using EC2 with Git,Jenkins, Docker/Containers & and Ansible.

OTHER LEARNINGS

  • Multiple examples of JenkinsFile for Jenkins Pipeline – production grade
  • Integrating DockerFile with Jenkinsfile
  • Inducing Shell scripts with DockerFile and jenkinsfile
  • Push existing code of Container ImageBuild to DockerHUb
  • Induce Continuous Deployment using Shell script via an EC2 instance
  • Exposure to GitOps model
  • Induce Githook to automate the CD part
  • Exposure to other industry-standard tools like FLUX, Travis
  • Continuous Deployment on a Kubernetes Cluster
  • Exposure and demo on Prometheus & Grafana implementation on
  • Kubernetes
  • Induce load on MySQL microservice and monitor throughput,IOPS,
  • Latency from Grafana
  • UI, metrics being sent by Prometheus
  • Other industries used security measures for Containers
  • Best real-time practices wrt CI-CD model for microservices on Kubernetes
  • General talks wrt Interview Questions for each topic
  •  

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