DevSecOps with Multi Cloud and AI Enabled
Course Description
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DevSecOps with Multi-Cloud and AI Enabled focuses on building secure, automated, and scalable cloud infrastructure for modern applications.
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Learn to design and manage cloud environments across AWS, Azure, and GCP using industry-standard DevOps practices.
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Develop expertise in CI/CD pipelines, containerization, infrastructure automation, and cloud security integration.
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Implement Docker, Kubernetes, and Terraform to build production-ready cloud platforms.
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Apply AI-driven monitoring and observability tools to improve system reliability and operational efficiency.
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Why DevSecOps with Multi-Cloud is in High Demand
Cloud Transformation:
Organizations are rapidly migrating applications to cloud platforms requiring skilled cloud automation engineers.
Integrated Security:
Modern development pipelines require security embedded within the development lifecycle.
Automation at Scale:
Infrastructure automation allows organizations to manage complex systems efficiently.
Multi-Cloud Strategy:
Enterprises deploy applications across multiple cloud providers for resilience and flexibility.
The Role of 100% Placement Assistance
While Working to attain mastering AWS DevOps is undeniably exhilarating, it also presents challenges, demanding the acquisition of a distinctive skill set, hands-on experience, and an in-depth understanding of AWS services. It is precisely where the value of 100% placement assistance shines.
Here’s why Greatcoder institute has 100% placement assistance is an indispensable part of an aspiring AWS DevOps professional’s journey:
- Customized Training: Greatcoder institute provides Placement assistance programs begin with tailored training. They equip candidates with the specific skills necessary for AWS DevOps roles, including competence in AWS services and DevOps best practices.
- Effective Resume Building: Crafting a compelling resume is a pivotal step in securing a job in AWS DevOps. Placement assistance programs guide candidates in creating resumes that highlight their skills and experience effectively.
- Interview Preparation: Interview preparation can be intimidating. Mock interviews, a standard feature of placement assistance, allow candidates to refine their interview skills. Valuable feedback from seasoned professionals bolsters confidence.
- Job Placements: The ultimate goal of placement assistance is to secure job placements. These programs often have well-established connections with various companies, facilitating the matching of candidates with job opportunities that align with their skills and career aspirations.
- Post-Placement Support: Placement assistance doesn’t end with securing a job. Many programs offer ongoing support to help individuals adapt to new roles, tackle challenges, and continuously refine their skills.
Curriculum Summary
- Introduction to SDLC
- Waterfall Model
- Advantages
- Disadvantages
- Agile Methodology
- Scrum Framework
- DevOps History
- DevOps Lifecycle
- Before DevOps vs After DevOps
- Advantages of DevOps
- Road Map to DevOps Engineer
- Add-on Advantages
- What is Cloud
- Scenario with & without Cloud
- Cloud Computing
- Importance of 2008
- Types of Cloud Computing
- Service Models
- Deployment Models
- Cloud Market
- What is AWS
- Top 10 Cloud Providers
- Difference between AWS, AZURE & GCP
- Advantages of AWS
- Main Roles in Cloud
- AWS Certifications Path
- LINUX INTRODUCTION
- FLAVOURS ON LINUX
- LINUX HISTORY
- LINUX ADVANTAGES
- SYSTEM INFORMATION
- HARDWARE INFORMATION
- FILE COMMANDS
- VIM EDITOR
- USERS
- GROUPS
- FILE PERMISSIONS
- NETWORKING
- COMPRESSION/ARCHIVE
- DISK USAGE
- PACKAGE INSTALLATION
- SCRIPTING
- FHS/DIRECTORY SYSTEM
- LINUX FILTERS
- LINUX MAN PAGES
- SED FILTERS
- GREP FILTERS
- PROJECT
- Elastic Compute Cloud (EC2)
- Virtual Private Cloud (VPC)
- Subnets
- Simple Storage Service (S3)
- AWS Pricing Calculator
- Cross Region Replication (CRR)
- Elastic Block Storage (EBS)
- Identity and Access Management (IAM)
- Command Line Interface (CLI)
- Relational Database Service (RDS)
- Elastic Load Balancer (ELB)
- Static Web Hosting
- Auto Scaling
- Elastic Bean Stalk
- Cloud Front & Global Accelerator
- DNS & Route 53
- RDS
- Azure Virtual Machines
- Azure Virtual Network (VNet)
- Azure Blob Storage
- Azure Blob Storage Geo-Replication (GRS / RA-GRS)
- Azure Managed Disks
- Azure Active Directory (Azure AD) + RBAC
- Azure SQL Database / Azure Database Services
- Azure Load Balancer / Azure Application Gateway
- Azure Static Web Apps / Azure Storage Static Website
- Azure Virtual Machine Scale Sets / Auto scale
- Azure App Service
- Azure CDN
- Azure DNS
- VCS History
- Revision Control System
- Subversion
- Git Stages
- Working Directory
- Staging Area
- Repository (Local, Central, Remote)
- Git Installation
- Git Add
- Git Commit
- Git Status
- Commit a File using Git
- Configuration of User
- Ignoring Content
- GitHub
- Git Repositories (Private & Public)
- Git Push
- Git Pull
- Git Cloning
- Git Branch
- Git Merge
- Git Fork
- Git Repositories (Private & Public)
- Git Stash
- Git Revert
- Git Merge (duplicate – do you want me to remove this?)
- GitHub File Add
- Advantages & Disadvantages
- Interview Questions
- Introduction
- Java Project Structure
- Problems without Maven
- What Maven Does
- What is Build Tool?
- pom.xml File
- Requirements for Build
- Maven Architecture
- Maven Build Life Cycle
- Maven Compile
- Maven Test
- Maven Package
- Maven Deploy
- Maven Clean
- Maven Directory Structure
- Generating WAR File
- Generating JAR File
- Maven vs Ant
- Interview Questions
- INTRODUCTION
- WORKFLOW
- ADVANTAGES
- JENKINS ALTERNATIVES
- MASTER – SLAVE CONCEPT
- JENKINS SETUP
- JAVA INSTALLATION
- GIT INTEGRATION
- MAVEN INTEGRATION
- JOBS IN JENKINS
- MAVEN JOB, TASK
- PARAMETER BUILDING
- CHOICE PARAMETER
- FILE PARAMETER
- BRANCH BUILDING
- SCHEDULE PROJECT
- CRON SYNTAXES
- WEBHOOKS
- POLL SCM
- LINKED PROJECTS
- UP STREAM
- DOWN STREAM
- PIPELINES WORKFLOW
- DECLARATIVE PIPELINE
- DISABLING THE PROJECT
- CONSOLE OUTPUT VIEWS
- SHELL EXECUTING
- PLUGIN MANAGEMENT
- PERMALINKS
- PIPELINES
- JENKINS FILE
- JENKINS PIPELINE COMPONENTS
- PIPELINE VIEW
- SCRIPTED PIPELINE
- DECLARATIVE PIPELINE
- HELLO WORLD PIPELINE
- INTEGRATION PIPELINE
- PERMALINKS
- EDITING BUILD INFO
- LABELS
- Maven vs Ant
- USER MANAGEMENT
- INTERVIEW QUESTION
- INTRODUCTION
- LEVEL VIRTUALIZATION
- DOCKER ARCHITECTURE
- DOCKER COMPONENTS
- DOCKER COMMANDS
- BUILD IMAGE FROM CONTAINER
- CREATING CUSTOM IMAGES
- DOCKER FILE
- DOCKER FILE COMPONENTS
- DOCKER FILE CREATION
- DOCKER VOLUMES
- USES OF VOLUMES
- CREATING VOLUMES
- CREATING VOLUMES BY USING COMMANDS
- VOLUMES (CONTAINER – CONTAINER)
- VOLUMES (HOST – CONTAINER)
- CREATING A VOLUME FROM FILE
- DOCKER PORT MAPPING
- CONNECTING JENKINS DASHBOARD
- DOCKER HUB
- DOCKER PUSH
- DOCKER PULL
- DOCKER LOGIN
- SOME ADVANCE COMMANDS
- DOCKER SWARM INTRODUCTION
- DOCKER SWARM ARCHITECTURE
- DOCKER SWARM COMPONENTS
- DOCKER SWARM MANAGER NODES
- DOCKER SWARM WORKER NODES
- CREATING A SERVICE
- DOCKER SWARM VS K8S
- INTERVIEW QUESTIONS
- HISTORY
- WHY PROMETHEUS
- FEATURES
- PHASES OF MONITORING
- PROMETHEUS ARCHITECTURE
- HOW IT WORKS
- PREREQUISITES
- DASHBOARD OVERVIEW
- INSTALLATION OF PROMETHEUS
- INTEGRATION WITH NODE
- PROM QL
- INTEGRATION WITH ALERTMANAGER
- INTERVIEW QUESTIONS
- WHY GRAFANA
- FEATURES
- GRAFANA INSTALLATION
- GRAFANA INTEGRATION WITH PROMETHEUS
- HOW IT WORKS
- PREREQUISITES
- HISTORY
- ADVANTAGES & DISADVANTAGES
- ANSIBLE WORKFLOW
- CHEF WORKFLOW
- ANSIBLE INVENTORY HOST PATTERN
- HOST PATTERNS
- Ad-Hoc COMMANDS
- ANSIBLE MODULES
- PLAYBOOKS
- YAML
- VARIABLES
- HANDLERS
- LOOPS
- CONDITIONS
- VAULT
- ROLES
- GALAXY
- ANSIBLE TAGS
- ANALYSIS WITH DIFFERENT TOOLS
- INTERVIEW QUESTIONS
- HISTORY
- ONLINE PLATFORM FOR K8s
- CLOUD BASED K8s
- INSTALLATION TOOLS
- CONTAINER SCALE-UP PROBLEMS
- FEATURES
- DOCKER SWARM Vs K8s
- ARCHITECTURE
- MASTER COMPONENTS
- NODE COMPONENTS
- WORKING WITH K8s
- ROLE OF MASTER
- COMPONENTS OF CONTROL PLANE
- KUBE-API SERVER
- ETDC
- FEATURES
- KUBE-SCHEDULER
- CONTROL MANAGER
- NODE COMPONENTS
- KUBELET
- CONTAINER ENGINE
- KUBE-PROXY
- POD
- MULTI CONTAINER POD
- LIMITATIONS
- HIGHER LEVEL K8s OBJECTS
- IMPORTANT NOTATIONS
- WORKING
- MINIKUBE INSTALLATION
- KUBECTL INSTALLATION
- DEPLOYING AN APP
- REPLICATION CONTROLLER
- SERVICE
- DEPLOYMENT
- VOLUMES
- INTERVIEW QUESTIONS
Student Reviews
★★★★★ Excellent course with practical projects.

