AWS And DevOps Real-Time Project Training

DevOps And AWS REAL-TIME PROJECT TRAINING 

ANY GRADUATE CAN JOIN THIS COURSE

Duration: Typically, these training programs can range from a few weeks to a few months, depending on the depth and complexity of the projects.

Overview: This training program is aimed at individuals or teams who want to gain practical experience in deploying, managing, and automating infrastructure and applications on the AWS cloud platform while following a DevOps approach. The program is structured around real-world projects that simulate the challenges and complexities faced by professionals working in the field.

Key Components:

1. AWS Fundamentals: The training often begins with an introduction to AWS services, architecture, and best practices. Participants will get a foundational understanding of the AWS ecosystem.
2. DevOps Fundamentals: An overview of DevOps principles, practices, and tools is provided, emphasizing automation, collaboration, and continuous improvement.
3. Project Selection: Participants are introduced to real-world use cases and are involved in selecting a project. These projects could include building a scalable web application, setting up a CI/CD pipeline, managing serverless applications, or creating infrastructure as code (IaC) templates.
4. Infrastructure as Code (IaC): In this phase, participants learn how to write infrastructure as code using tools like AWS CloudFormation, Terraform, or AWS CDK.
5. Continuous Integration and Continuous Deployment (CI/CD): Implementing CI/CD pipelines for application deployment, testing, and monitoring. Tools like Jenkins, AWS CodePipeline, and AWS CodeBuild are often used.
6. Containerization and Orchestration: Introduction to containerization with Docker and container orchestration with Kubernetes or AWS ECS (Elastic Container Service).
7. Serverless Computing: Participants learn to build and deploy serverless applications using AWS Lambda and API Gateway.
8. Monitoring and Logging: Setting up monitoring and logging solutions using tools like Amazon CloudWatch and AWS CloudTrail.
9. Security and Compliance: Understanding security best practices in AWS and ensuring compliance in your infrastructure.
10. Scaling and Load Balancing: Implementing auto-scaling and load balancing for high availability and performance.
11. Project Execution: Participants work on their chosen project, applying the knowledge and skills they've gained throughout the training program.
12. Project Presentation and Review: Each participant or team presents their project, and feedback is provided. This phase encourages collaboration and sharing of knowledge.

Certification: Many training programs offer certification upon successful completion of the training and project work.

Prerequisites:

• Basic knowledge of Linux/Unix operating systems.
• Familiarity with at least one programming language.
• Understanding of fundamental DevOps concepts is beneficial.

Outcome: Participants completing this training program should be equipped with the skills and knowledge needed to manage AWS infrastructure and applications using DevOps practices. They should be able to automate, scale, and optimize AWS-based solutions, making them well-prepared for real-world AWS and DevOps projects.

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AWS Topics and Descriptions:

1. AWS Fundamentals:Description: Introduction to AWS, its global infrastructure, and essential services.
   Important Commands: None
   
2. Amazon EC2 (Elastic Compute Cloud):Description: Virtual server instances in the cloud.
   
   Important Commands:aws ec2 run-instances: Launch an EC2 instance.
   aws ec2 describe-instances: Get information about running instances.
   aws ec2 create-key-pair: Create an SSH key pair.
   aws ec2 security-group: Manage security groups.
   
3. Amazon S3 (Simple Storage Service):Description: Object storage service for storing and retrieving data.
   
   Important Commands:aws s3 ls: List S3 buckets and objects.
   aws s3 cp: Copy files to/from S3.
   aws s3 rm: Delete objects from S3.
   aws s3api create-bucket: Create an S3 bucket.
   
4. AWS Lambda:Description: Serverless compute service for running code without provisioning or managing servers.
   Important Commands: None (Lambda is typically managed via the AWS Management Console).
   
5. AWS IAM (Identity and Access Management):Description: Manage user access and permissions to AWS resources.
   
   Important Commands:aws iam create-user: Create an IAM user.
   aws iam attach-policy: Attach a policy to an IAM user or group.
   aws iam create-role: Create an IAM role.
   aws iam list-users: List IAM users.
   
6. Amazon RDS (Relational Database Service):Description: Managed relational database service.
   Important Commands: None (RDS instances are created and managed via the AWS Management Console).
   
7. Amazon VPC (Virtual Private Cloud):Description: Isolated network for your AWS resources.
   
   Important Commands:aws ec2 create-vpc: Create a VPC.
   aws ec2 create-subnet: Create a subnet within a VPC.
   aws ec2 create-security-group: Create a security group.
   aws ec2 create-route-table: Create a route table.
   
8. AWS CloudFormation:Description: Infrastructure as Code (IaC) service for provisioning and managing AWS resources.
   
   Important Commands:aws cloudformation create-stack: Create a CloudFormation stack.
   aws cloudformation update-stack: Update an existing CloudFormation stack.
   aws cloudformation delete-stack: Delete a CloudFormation stack.
   
9. Amazon ECS (Elastic Container Service):Description: Docker container orchestration service.
   
   Important Commands:aws ecs create-cluster: Create an ECS cluster.
   aws ecs create-task-definition: Define a task to run in ECS.
   aws ecs create-service: Create an ECS service.
   
10. Amazon EC2 Auto Scaling:Description: Automatically adjust the number of EC2 instances in response to changes in demand.
    
    Important Commands:aws autoscaling create-launch-configuration: Create a launch configuration.
    aws autoscaling create-auto-scaling-group: Create an Auto Scaling group.
    aws autoscaling attach-instances: Attach EC2 instances to an Auto Scaling group.
    

DevOps Topics and Descriptions:

1. DevOps Culture and Practices:Description: Understanding DevOps principles, collaboration, and cultural aspects.
   
2. Version Control:Description: Managing source code with tools like Git.
   Important Commands: Git commands like git clone, git commit, git push, and git pull.
   
3. Continuous Integration (CI):Description: Automating code integration, testing, and building.
   Important Commands: CI/CD tools specific commands (e.g., Jenkins, Travis CI, CircleCI).
   
4. Continuous Deployment (CD):Description: Automating the deployment of applications to production.
   Important Commands: CD pipeline configuration, scripts, and release management tools.
   
5. Containerization:Description: Packaging applications and dependencies into containers (e.g., Docker).
   Important Commands: Docker commands like docker build, docker run, and docker push.
   
6. Container Orchestration:Description: Managing and scaling containerized applications (e.g., Kubernetes).
   Important Commands: kubectl commands for Kubernetes.
   
7. Infrastructure as Code (IaC):Description: Managing and provisioning infrastructure using code (e.g., Terraform).
   Important Commands: Terraform commands like terraform init, terraform plan, and terraform apply.
   
8. Configuration Management:Description: Automating server configuration and maintenance (e.g., Ansible, Puppet).
   Important Commands: Ansible playbooks and modules, Puppet manifests.
   
9. Monitoring and Logging:Description: Tools for tracking application performance and issues.
   Important Commands: Configuration of monitoring tools and log analysis.
   
10. Security and Compliance:Description: Integrating security into the DevOps process and ensuring compliance.
    Important Commands: Security policies, scanning, and compliance checks.
    
11. Collaboration Tools:Description: Using tools like Slack, Jira, and Confluence for effective team collaboration.
    
12. DevOps Best Practices:Description: Implementing best practices for infrastructure, code, and automation.