Cloud & DevOps

IT Courses

This comprehensive 120-hour curriculum provides a complete journey from Cloud and DevOps fundamentals to advanced AI-powered operations.…

AdminElevate
24
120h
0
(0)

This comprehensive 120-hour curriculum provides a complete journey from Cloud and DevOps fundamentals to advanced AI-powered operations. The project-based approach ensures practical skills with industry-standard tools, while the extensive AI integration modules prepare students for the future of intelligent DevOps where AI copilots and automated operations transform how we build, deploy, and manage infrastructure . Students will graduate with a robust portfolio of 8+ projects demonstrating their expertise across the entire Cloud and DevOps spectrum and will be prepared for roles such as DevOps Engineer, Cloud Engineer, Site Reliability Engineer, and AI-Enhanced DevOps Specialist.

What Will You Learn?

Master cloud computing fundamentals across AWS and Azure platforms including compute, storage, networking, and security services
Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps for automated software delivery
Implement Infrastructure as Code (IaC) using Terraform and AWS CloudFormation to provision and manage cloud resources reproducibly
Containerize applications with Docker and orchestrate containers using Kubernetes for scalable, resilient deployments
Configure and manage configuration management tools like Ansible for automated server provisioning
Leverage AI-powered DevOps tools including GitHub Copilot, AI copilots for monitoring, and intelligent incident response systems to enhance productivity and reduce downtime
Implement AI-driven monitoring and observability using AI copilots to transform raw telemetry into actionable insights and reduce alert fatigue
Apply MLOps principles to manage machine learning workflows in production environments

Course Curriculum

Linux Basics & System Administration

Linux architecture, kernel, and distributions (CentOS, Ubuntu, Red Hat)
Filesystem Hierarchy Standard (FHS) and directory structure
Essential Linux commands for file management, process control, and system monitoring
File permissions and ownership (chmod, chown, umask)
User and group management
Package management with yum and apt
Service management with systemd
Networking commands (ifconfig, netstat, ss, telnet)

Shell Scripting & Automation

Bash scripting fundamentals: variables, conditionals, loops, functions
Input/output redirection and piping
Regular expressions and text processing with grep, sed, awk
Scheduling tasks with cron and at
Script debugging and error handling
Automating system administration tasks

Project 1: Linux System Administration & Automation

Set up a Linux server with required services
Create user accounts with appropriate permissions
Write shell scripts to automate
Document all scripts with usage instructions

Git Fundamentals

Version control concepts and benefits
Git architecture and workflow
Installing and configuring Git
Basic Git commands: init, add, commit, status, log
Working with remote repositories (GitHub, GitLab)
Branching and merging strategies
Resolving merge conflicts
Git workflow best practices

GitHub Actions & Collaboration

GitHub Actions basics and workflow syntax

Building CI/CD pipelines with GitHub Actions
Understanding YAML configuration
Triggering workflows with events
Using GitHub secrets for secure credentials
GitHub collaboration best practices

Project 2: Git-Based DevOps Workflow

Create a GitHub repository with branching strategy
Implement feature branch workflow with pull requests
Set up GitHub Actions for automated testing
Configure branch protection rules
Document Git workflow for team collaboration

AWS Cloud Fundamentals

AWS Global Infrastructure: regions, availability zones, edge locations
Identity and Access Management (IAM): users, groups, roles, policies
Compute: EC2 instances, AMIs, instance types, security groups, key pairs
Storage: S3 buckets, storage classes, lifecycle policies, EBS volumes
Networking: VPC, subnets, route tables, internet gateways, NAT gateways
Load balancing: ELB, target groups, health checks
Auto Scaling: launch templates, scaling policies
Database: RDS, DynamoDB basics

Azure Cloud Fundamentals

Azure architecture: regions, resource groups, subscriptions
Azure Virtual Machines: creation, configuration, availability sets
Azure Storage: blob storage, file shares, disks
Azure Networking: VNet, subnets, network security groups, load balancers
Azure Databases: SQL Database, Cosmos DB basics
Azure Resource Manager (ARM) and templates
Azure DevOps overview

Project 3: Multi-Cloud Application Deployment

Deploy a sample web application on AWS
Deploy same application on Azure
Compare deployment processes across clouds
Document architecture and deployment steps

Docker Fundamentals

Containerization concepts and benefits
Docker architecture: daemon, client, registries, objects
Docker images and containers
Dockerfile instructions and best practices
Building and tagging custom images
Running and managing containers
Docker Hub and private registries
Container networking basics

Advanced Docker Concepts

Docker networking: bridge, host, overlay networks
Docker volumes for persistent data
Environment variables and configuration
Docker Compose for multi-container applications
Docker Compose YAML structure
Managing multi-container stacks
Docker resource constraints (CPU, memory)
Docker security best practices

Project 4: Microservices Containerization

Containerize a multi-tier application (frontend, backend, database)
Write Dockerfiles for each service
Create Docker Compose file for local development
Implement volume mounts for database persistence
Configure networking between services
Set up environment-specific configurations
Document containerization process and commands

Kubernetes Fundamentals

Kubernetes architecture: control plane, nodes, etcd, kubelet
Pods: smallest deployable units
Deployments and ReplicaSets for scaling
Services for networking and discovery
ConfigMaps and Secrets for configuration
Namespaces for resource isolation
kubectl commands and YAML manifests

Advanced Kubernetes Concepts

Ingress controllers for HTTP routing
Persistent volumes and claims for stateful applications
StatefulSets for stateful workloads
Helm package manager for Kubernetes
Kubernetes monitoring with Prometheus
Kubernetes security: RBAC, service accounts, network policies
Horizontal Pod Autoscaling
Kubernetes best practices

Project 5: Kubernetes Production Deployment

Deploy a complete application stack on Kubernetes
Create deployments for frontend, backend, and database
Configure services for internal and external access
Implement Ingress for domain-based routing
Use ConfigMaps and Secrets for configuration
Set up persistent volumes for database storage
Create Helm chart for repeatable deployments
Document Kubernetes manifests and deployment steps

Terraform Fundamentals

Infrastructure as Code concepts and benefits
Terraform architecture and workflow
HCL (HashiCorp Configuration Language) syntax
Providers: AWS, Azure, Kubernetes
Resources and data sources
State management and remote backends
Variables and outputs
Terraform modules for reusability

Advanced Terraform & CloudFormation

Terraform workspaces for environment isolation
Terraform functions and expressions
Handling secrets with Terraform
AWS CloudFormation basics and YAML syntax
CloudFormation stacks and change sets
Comparing Terraform vs CloudFormation
Best practices for IaC

Project 6: Infrastructure Automation Project

Design complete infrastructure for a web application
Write Terraform configurations
Use Terraform modules for reusability
Implement remote state storage in S3
Create CloudFormation template for same architecture
Compare both approaches and document

Jenkins for CI/CD

Continuous Integration and Continuous Delivery concepts
Jenkins architecture: master-agent setup
Installing and configuring Jenkins
Jenkins jobs and pipelines
Pipeline as Code with Jenkinsfile
Integrating Jenkins with Git
Build triggers and webhooks
Jenkins plugins and ecosystem

GitHub Actions & Advanced CI/CD

GitHub Actions workflow syntax deep dive
Custom actions and reusable workflows
Matrix builds for multiple environments
Deployment to cloud platforms
Integrating security scanning
CI/CD best practices and patterns
Configuration Management with Ansible

Configuration Management with Ansible

Configuration management concepts
Ansible architecture: control node, inventory, modules
Playbooks and tasks
Variables and templates
Roles for reusable automation
Ansible Galaxy

Project 7: End-to-End CI/CD Pipeline

Design complete CI/CD pipeline

Implement pipeline using Jenkins and GitHub Actions
Add automated rollback strategy
Document pipeline stages and configuration

AI in DevOps & SRE Fundamentals

How AI is redefining Cloud and DevOps landscape
Evolution from automation to cognitive infrastructure
AI copilots: GitHub Copilot, Azure OpenAI Service, and their impact
Key AI applications across DevOps lifecycle
SRE evolution for AI-driven infrastructure
Ethical considerations and governance for AI in DevOps

AI-Powered Coding & Infrastructure

GitHub Copilot for Infrastructure as Code
AI-assisted Terraform and CloudFormation generation
Automated code reviews and security fixes
Generating documentation from code
AI for dependency upgrades and vulnerability fixes

Intelligent Monitoring & Observability

Transforming monitoring from noise to actionable insights
AI copilots for log analysis and anomaly detection
Azure Monitor with AI capabilities
AWS CloudWatch intelligent insights
Predictive analytics for resource scaling
Reducing alert fatigue with AI-powered filtering

AI-Powered Incident Response

AI-driven incident detection and response
Reducing Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR)
Automated containment and remediation
AI-generated post-incident reports
Self-healing infrastructure concepts

Project 8: AI-Enhanced DevOps Dashboard

Build comprehensive DevOps dashboard with AI capabilities
Integrate with cloud platforms (AWS/Azure)
Use AI APIs for intelligent features
Document AI applications in DevOps workflows
Present findings with actionable recommendations

Final Project: Complete DevOps Implementation with AI Integration

Phase 1: Infrastructure as Code
Phase 2: Containerization & Orchestration
Phase 3: CI/CD Pipeline
Phase 4: Monitoring & Observability

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Cloud & DevOps

What Will You Learn?

Course Curriculum

Linux Basics & System Administration

Linux architecture, kernel, and distributions (CentOS, Ubuntu, Red Hat)

Filesystem Hierarchy Standard (FHS) and directory structure

Essential Linux commands for file management, process control, and system monitoring

File permissions and ownership (chmod, chown, umask)

User and group management

Package management with yum and apt

Service management with systemd

Networking commands (ifconfig, netstat, ss, telnet)

Shell Scripting & Automation

Bash scripting fundamentals: variables, conditionals, loops, functions

Input/output redirection and piping

Regular expressions and text processing with grep, sed, awk

Scheduling tasks with cron and at

Script debugging and error handling

Automating system administration tasks

Project 1: Linux System Administration & Automation

Set up a Linux server with required services

Create user accounts with appropriate permissions

Write shell scripts to automate

Document all scripts with usage instructions

Git Fundamentals

Version control concepts and benefits

Git architecture and workflow

Installing and configuring Git

Basic Git commands: init, add, commit, status, log

Working with remote repositories (GitHub, GitLab)

Branching and merging strategies

Resolving merge conflicts

Git workflow best practices

GitHub Actions & Collaboration

GitHub Actions basics and workflow syntax

Building CI/CD pipelines with GitHub Actions

Understanding YAML configuration

Triggering workflows with events

Using GitHub secrets for secure credentials

GitHub collaboration best practices

Project 2: Git-Based DevOps Workflow

Create a GitHub repository with branching strategy

Implement feature branch workflow with pull requests

Set up GitHub Actions for automated testing

Configure branch protection rules

Document Git workflow for team collaboration

AWS Cloud Fundamentals

AWS Global Infrastructure: regions, availability zones, edge locations

Identity and Access Management (IAM): users, groups, roles, policies

Compute: EC2 instances, AMIs, instance types, security groups, key pairs

Storage: S3 buckets, storage classes, lifecycle policies, EBS volumes

Networking: VPC, subnets, route tables, internet gateways, NAT gateways

Load balancing: ELB, target groups, health checks

Auto Scaling: launch templates, scaling policies

Database: RDS, DynamoDB basics

Azure Cloud Fundamentals

Azure architecture: regions, resource groups, subscriptions

Azure Virtual Machines: creation, configuration, availability sets

Azure Storage: blob storage, file shares, disks

Azure Networking: VNet, subnets, network security groups, load balancers

Azure Databases: SQL Database, Cosmos DB basics

Azure Resource Manager (ARM) and templates

Azure DevOps overview

Project 3: Multi-Cloud Application Deployment

Deploy a sample web application on AWS

Deploy same application on Azure

Compare deployment processes across clouds

Document architecture and deployment steps

Docker Fundamentals

Containerization concepts and benefits

Docker architecture: daemon, client, registries, objects

Docker images and containers

Dockerfile instructions and best practices

Building and tagging custom images

Running and managing containers

Docker Hub and private registries

Container networking basics

Advanced Docker Concepts

Docker networking: bridge, host, overlay networks

Docker volumes for persistent data