Cloud & DevOps
About This Course
eLearningCurve’s Cloud & DevOps Program is a 16-week intensive training that transforms beginners into job-ready engineers. Master AWS, Azure, Kubernetes, Docker, Terraform, and CI/CD pipelines through 300+ hands-on lab hours and real-world projects. Our industry-expert mentors guide you through infrastructure automation, cloud security, and DevOps best practices. Includes certification prep (AWS DevOps, CKA) and career support with resume building, mock interviews, and access to our hiring network. With 24/7 cloud lab access and a 94% placement rate, we prepare you for high-paying cloud engineering roles.
Why Choose This Program?
- Most Industry-Relevant Curriculum
- Hands-On Cyber Labs – 50+ exercises in attack/defense scenarios
- Mentorship – 1:1 sessions with certified professionals
- Portfolio Development – GitHub repository of your security projects
- Job Support – Resume building, LinkedIn profile optimization, and interview prep
Who Should Enrol
- Students pursuing a career in cloud & devops
- Software Engineers & QA Professionals
- IT professionals looking to specialize in cybersecurity.
- Tech Leads & Architects
Curriculum
19 Modules
What is Cloud Computing
Why Cloud Computing?
Advantages of Cloud Computing
Types of Cloud
Cloud Computing Module
Cloud Service Provider
Introduction to Linux
Command-Line Basics
Users and Permissions
Processes and Services
Package Management
Amazon EC2 (Elastic Compute Cloud)
Amazon S3 (Simple Storage Service)
Amazon IAM (Identity and Access Management)
Amazon Security Services
Amazon RDS (Relational Database Service)
Amazon VPC (Virtual Private Cloud)
Amazon Route 53
Amazon CloudWatch
Amazon SNS (Simple Notification Service)
Amazon SQS (Simple Queue Service)
Amazon Serverless Services (Lambda)
AWS CodeBuild CodeCommit CodeDeploy CodePipeline
Amazon ECS (Elastic Container Service)
Amazon EKS (Elastic Kubernetes Service)
Amazon CloudFormation
Amazon CloudFront
Instance Types
AMI (Amazon Machine Image)
Instance Lifecycle
Elastic IP Addresses
Security Groups and Network ACLs
Storage Options
Auto Scaling
Load Balancing
Instance Metadata and User Data
Placement Groups
Buckets and Objects
Data Consistency and Durability
Data Access and Security
Storage Classes
Lifecycle Policies
Versioning
Event Notifications
Multipart Upload
Data Transfer Acceleration
Data Management and Analytics
Static Website Hosting
Users and Groups
Roles
Policies
Permission Boundaries
Access Keys
Multi-Factor Authentication (MFA)
Password Policies
Resource-Based Policies
Access Analyzer
Amazon IAM (Identity and Access Management)
Amazon VPC (Virtual Private Cloud) Security
AWS Key Management Service (KMS)
Amazon CloudWatch Logs
Amazon GuardDuty
Amazon Macie
Amazon Inspector
Amazon Detective
AWS WAF (Web Application Firewall)
AWS Firewall Manager
AWS Shield
Amazon CloudHSM
You can use database engines that you are already familiar with: IBM Db2, MariaDB, Microsoft SQL Server, MySQL, Oracle Database, and PostgreSQL.
Amazon RDS manages backups, software patching, automatic failure detection, and recovery.
You can turn on automated backups, or manually create your own backup snapshots. You can use these backups to restore a database. The Amazon RDS restore process works reliably and efficiently.
You can get high availability with a primary DB instance and a synchronous secondary DB instance that you can fail over to when problems occur. You can also use read replicas to increase read scaling.
In addition to the security in your database package, you can control access by using AWS Identity and Access Management (IAM) to define users and permissions. You can also help protect your databases by putting them in a virtual private cloud (VPC).
VPC Basics
Subnets
Routing
Internet Gateway
NAT Gateway/NAT Instance
Security Groups
Network ACLs
VPC Peering
VPN (Virtual Private Network) Connections
VPC Endpoints
Flow Logs
Domain Registration
Domain Hosting
Resource Record Sets
Routing Policies
Metrics
Dashboards
Alarms
Logs
Events
Topics
Subscriptions
Protocols
Message Filtering
Mobile Push Notifications
SMS Notifications
Email Notifications
Queues
Decoupling Components
Message Delivery Retry
Message Size Limits
Serverless Computing
AWS Lambda
Event-Driven Architecture
Supported Languages
Triggers and Events
Auto-Scaling
Pay-as-You-Go Pricing
Lambda Layers
Event Logging and Monitoring
AWS CodeBuild
AWS CodeCommit
AWS CodeDeploy
AWS CodePipeline
Integration with AWS Services
Containers
Container Orchestration
Clusters
ECS Exec
Kubernetes
Control Plane Management
Kubernetes Dashboard
Infrastructure as Code (IaC)
Templates
Stacks
Declarative Syntax
Resource Types
Parameters
Automation and Consistency
Content Delivery Network (CDN)
Edge Locations
Distribution
Access Logs
Content Compression
Real-time Monitoring
Preview This Course
Rs. 16,999/-
Rs. 32,999/-
Job Profile to Work
- Cloud Engineer
- DevOps Engineer
- Site Reliability Engineer
- Kubernetes Administrator
- Infrastructure Engineer
- Cloud Security Engineer
Program Structure
- Duration: 4 Months
- Format: Live Lectures
- Schedule: Weekend OR Weekdays
- Capstone Projects
- LMS Access of Recorded Sessions
Placement Support
- Mock Interview Preparation
- Cover Letter & Resume Building
- Professional Social Profile Building
- HR Connections
- Interview Line-up
Learning Outcome
- Cloud Computing Mastery
- DevOps Engineering Skills
- Containerization Expertise
- Real-World Problem Solving