Understand what is Cloud Computing, its deployment models (Public, Private, Hybrid), and service models (IaaS, PaaS, SaaS).

Learn about top cloud vendors and get an overview of Amazon Web Services (AWS).

Step-by-step AWS account creation, exploring free tier benefits, and configuring AWS billing and budget alerts for cost control.

AWS IAM (Identity and Access Management): Users, Groups, Policies, and Roles.

AWS SSO, MFA, and STS for secure identity federation and temporary credentials.

Advanced security services: AWS SCP, AWS Secret Manager.

Network protection tools: AWS WAF, Connect, AWS KMS, and AWS Certificate Manager (ACM).

RESTful APIs using AWS API Gateway, AWS Transfer Family for secure file transfers.

Explore AWS SQS for decoupled application architecture.

High availability services: CDN (CloudFront), Application Load Balancer, AWS Route 53.

Serverless and container-based services:  Lambda, ECS, EKS, Step Functions.

Database and monitoring: RDS Proxy, AWS Backup.

Storage Solutions: Amazon S3, EFS, EBS, and Storage Gateway.

Compute Services: Amazon EC2, Auto Scaling.

Container Orchestration: EKS, and Aurora.

Real-time processing and analytics: AWS DynamoDB, Athena, QuickSight, Lake Formation, AWS Glue.

Global network optimization: CloudFront, Global Accelerator, VPN, PrivateLink, DataSync.

AWS Cost Explorer

AWS Budgets

AWS Cost & Usage Reports (CUR)

Understand What is DevOps, SDLC models, Agile & Lean methodologies.

Learn the importance of DevOps, key terminologies, stakeholders, and popular DevOps tools.

Grasp CI/CD concepts: Continuous Integration, Continuous Delivery, and Continuous Deployment.

Learn Git architecture (local, centralized, and distributed).

Hands-on Git operations: Repository creation, committing, cloning, fetch/pull, branching, and remote repositories.

Installation and configuration on Linux and Windows platforms.

Introduction to Jenkins, CI/CD pipeline concepts.

Installing and configuring Jenkins, managing users, and setting up Jenkins slaves.

Integrating Jenkins with GitHub and exploring plugin management.

Introduction to Ansible’s agentless architecture.

Installing Ansible, writing inventory files, using modules, and creating playbooks for server automation.

Deep dive into Kubernetes cluster architecture.

Deploy and manage applications using YAML, use Kubernetes Dashboard, and practice rolling updates.

Understand container orchestration and Kubernetes fundamentals.

Learn about Docker architecture, its components, and differences between Docker and traditional virtualization.

Install Docker on Linux and Windows, run containers, pull images from Docker Hub.

Create and manage custom Docker images, expose ports, link containers, and manage container networking.

Understand Terraform Architecture – Learn Terraform’s declarative Infrastructure as Code (IaC) model for automating infrastructure deployment.

Core Components – Get familiar with providers (e.g., AWS, Azure), resources (infrastructure elements), and state (tracks deployed infrastructure).

Tool Comparison – Know how Terraform differs from tools like CloudFormation (AWS-only), Ansible (procedural), and Pulumi (uses general-purpose languages).

Install Terraform – Set up Terraform on Linux using apt or on Windows via Chocolatey or manual installation.

Initialize Configuration – Create .tf files and run terraform init to prepare the working directory.

Deploy Infrastructure – Use terraform plan, terraform apply, and terraform destroy to manage the full lifecycle of your infrastructure.

(Optional) Version Control Integration – Use Git to track and manage your .tf files safely and collaboratively.

Understand Splunk Architecture – Learn how Splunk works as a powerful platform for machine data analytics and log management.

Core Components – Explore key Splunk components:

• Forwarders (collect and send data),

• Indexers (store and index data),

• Search Heads (run search queries and visualize results).

Tool Comparison – Compare Splunk with traditional log monitoring tools (e.g., syslog, ELK stack) in terms of scalability, real-time search, and visualization.

Install Splunk – Set up Splunk Enterprise on Linux and Windows systems using official packages or manual installation.

Ingest Machine Data – Add data from files, directories, or streams using Universal Forwarder or direct upload in the Splunk Web UI.

Search with SPL – Use Splunk’s Search Processing Language (SPL) to perform basic searches, filtering, and data visualization.