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Master AWS DevOps with our comprehensive certification course. Elevate your skills and advance your career.

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CURRICULUM & PROJECTS

AI-Integrated AWS DevOps Training Program

    Objective: Build a strong foundation in cloud concepts and AWS ecosystem.

    • Cloud Computing Concepts (IaaS, PaaS, SaaS)
    • AWS Global Infrastructure (Regions, AZs)
    • Pricing Models & Cost Optimization Basics
    • Shared Responsibility Model
    • Consolidated Billing

    Outcome: Understand how cloud platforms operate and how AWS services are structured.

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    Objective: Develop strong command-line and automation skills required for DevOps.

    • Linux File System & Process Management
    • User & Permission Handling
    • Networking Commands
    • App installation and configureation

    Outcome: Ability to manage servers and automate tasks efficiently.

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    Objective: Gain hands-on expertise in essential AWS services.

    • EC2 (Instance Types, AMI, Auto Recovery)
    • EBS & Storage Optimization
    • S3 (Versioning, Lifecycle, Security)
    • IAM (RBAC, Policies, Best Practices)
    • VPC (Subnets, NAT, Gateways, Routing)
    • Lambda automation
    • Cloudformation hands-on
    • Cross-Region Replication
    • AWS CLI Practicals

    Outcome: Deploy and manage production-level cloud infrastructure

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    Objective: Learn scalable and highly available cloud architecture.

    • Load Balancers & Auto Scaling
    • RDS, DynamoDB (Database Design)
    • Route 53 (DNS + Routing Policies)
    • CloudFront (CDN Optimization)
    • Storage Gateway

    Outcome: Design fault-tolerant and scalable applications.

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    Objective: Master modern serverless application design.

    • AWS Lambda (Function Design & Deployment)
    • API Gateway Integration
    • EventBridge & Step Functions
    • Automation with Lambda

    Outcome: Build cost-efficient, scalable serverless applications.

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    Objective: Master source code management and collaboration.

    • Git Internals & Workflows
    • Branching Strategies (GitFlow)
    • Merge vs Rebase
    • GitHub Integration & PR workflows
    • Hands-on on Bitbucket and GitHub both with command line.

    Outcome: Manage enterprise-level code repositories effectively.

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    Objective: Package and deploy applications using containers.

    • Docker Architecture & Lifecycle
    • Dockerfile Optimization (Multi-stage builds)
    • Docker Compose (Multi-container apps)
    • Networking & Volumes

    Outcome: Containerize applications for scalable deployments.

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    Objective: Orchestrate containers at scale.

    • Kubernetes Architecture (Control Plane + Nodes)
    • Deployments, Services, Ingress
    • Pod creation
    • Deployment and Replicate deployment via Pipeline
    • Scaling & Auto-healing

    Outcome: Deploy and manage production-grade Kubernetes clusters.

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    Objective: Automate infrastructure provisioning.

    • Topics Covered:
    • Terraform Core Concepts & Workflow
    • State Management & Backends
    • Modules & Reusability
    • Multi-cloud Deployment

    Outcome: Provision infrastructure programmatically.

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    Objective: Automate configuration and deployments.

    • Topics Covered:
    • Ansible Architecture & Playbooks
    • Roles & Templates
    • Dynamic Inventory
    • Cloud Automation with Ansible

    Outcome: Manage large-scale infrastructure configurations.

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    Objective: Implement real-time monitoring systems.

    • Grafana (Visualization)
    • Cloud Watch
    • Cloud Trail

    Outcome: Build full observability systems.

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    Objective: Integrate security into DevOps pipelines.

    • IAM & Access Control Best Practices
    • Secrets Management
    • Route Table

    Outcome: Implement secure DevOps workflows.

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    Objective: Leverage AI to enhance DevOps productivity.

    • Introduction to AIOps
    • Generative AI Concepts
    • Amazon Bedrock (FM, RAG, Fine-tuning)
    • Prompt Engineering
    • Amazon Q (Developer Productivity)
    • AI-based Log Analysis & Automation
    • Responsible AI & Governance

    Outcome: Apply AI in real DevOps scenarios.

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    Objective: Implement next-gen deployment strategies.

    • GitOps Principles
    • ArgoCD Deployment

    Outcome: Automate deployments using Git-based workflows.

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    Objective: Apply all concepts in real-world scenarios.

    • Serverless Application Deployment
    • AI-based Log Analyzer (GenAI + CloudWatch)
    • Multi-cloud Infrastructure using Terraform

    Outcome: Build a strong portfolio for job interviews.

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Course Design By

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Course Offered By

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65 Hrs.
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Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
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