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Enroll in Cloud Computing & DevOps

This live, mentor-led course covers cloud fundamentals, Linux, Git, Docker, Kubernetes, CI/CD pipelines, Terraform and monitoring on AWS. You learn through guided labs, weekly assignments and nine deployment projects, finishing with a job-ready portfolio and the confidence to apply for DevOps and cloud roles.
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  • Students from any engineering or science degree stream
  • Fresh graduates seeking cloud or DevOps roles
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Before you start

Prerequisites

  • Basic computer and internet usage
  • Familiarity with any programming language is helpful
  • Willingness to practise in the command line
  • A laptop with at least 8 GB RAM and a stable internet connection
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Hands-on skills you will practise in live classes, assignments and projects throughout the course.

AWS Linux Shell Scripting Git GitHub Docker Kubernetes Jenkins GitHub Actions CI/CD Terraform Ansible Prometheus Grafana Networking Basics Cloud Security
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Course Curriculum

What You Will Learn

A carefully sequenced curriculum - every section breaks into modules and hands-on topics taught live by industry experts.

6

Sections

Structure

30

Modules

Depth

180

Topics

Coverage

9

Projects

Practice

Open a section to see its modules and topics.

01 Section 1 Cloud Fundamentals and Linux Essentials This section builds the foundation of cloud computing concepts and hands-on Linux command line skills that every DevOps engineer relies on. 5 modules 30 topics
M1.1 Introduction to Cloud Computing Learners understand what the cloud is, why organizations adopt it, and how its core models work.
  1. 1

    What Is Cloud Computing

    Explore the definition of cloud computing and how it differs from traditional on-premises infrastructure. Review real examples of companies that moved to the cloud.

    Cloud Basics Infrastructure Concepts
  2. 2

    Service Models IaaS PaaS and SaaS

    Compare the three main service models and the responsibilities that belong to the provider and the customer. Match common products to each model.

    IaaS PaaS SaaS
  3. 3

    Deployment Models Public Private and Hybrid

    Learn when organizations choose public, private, hybrid, or multi-cloud strategies. Discuss tradeoffs in cost, control, and compliance.

    Hybrid Cloud Multi-Cloud Cloud Strategy
  4. 4

    Cloud Economics and Pricing

    Understand pay-as-you-go pricing, reserved capacity, and total cost of ownership. Estimate the cost of a small workload.

    Cloud Pricing TCO Cost Estimation
  5. 5

    Major Cloud Providers Overview

    Tour AWS, Microsoft Azure, and Google Cloud and see how their core services compare. Create a free tier account for upcoming labs.

    AWS Azure Google Cloud
  6. 6

    Shared Responsibility and Cloud Security Basics

    Learn the shared responsibility model and basic security practices such as least privilege and multi-factor authentication.

    Shared Responsibility IAM Basics Cloud Security
M1.2 Core Cloud Infrastructure Services Learners get acquainted with the building blocks of compute, storage, and networking in the cloud.
  1. 1

    Virtual Machines and Compute Instances

    Launch and connect to a virtual machine while learning about instance types and sizing. Understand how images and regions affect deployments.

    Virtual Machines EC2 Instance Sizing
  2. 2

    Cloud Storage Types

    Compare object, block, and file storage and their typical use cases. Create a storage bucket and upload files.

    Object Storage Block Storage File Storage
  3. 3

    Virtual Networks and Subnets

    Learn how virtual private clouds, subnets, and IP ranges are designed. Build a simple network layout.

    VPC Subnets CIDR
  4. 4

    Security Groups and Firewalls

    Control inbound and outbound traffic using security groups and network access rules. Troubleshoot a blocked connection.

    Security Groups Firewall Rules Troubleshooting
  5. 5

    Load Balancing and Auto Scaling

    Distribute traffic across servers and scale capacity automatically as demand changes. Observe scaling behavior in a demo.

    Load Balancer Auto Scaling High Availability
  6. 6

    Cloud Databases and Managed Services

    Explore managed relational and NoSQL databases and the benefits of offloading maintenance. Provision a small database instance.

    RDS NoSQL Managed Services
M1.3 Linux Basics and the Command Line Learners gain confidence navigating Linux systems and working in the terminal.
  1. 1

    Linux Overview and Distributions

    Learn the history of Linux and how distributions such as Ubuntu and CentOS differ. Set up a Linux environment for practice.

    Linux Basics Ubuntu Environment Setup
  2. 2

    Navigating the File System

    Move through directories and understand the Linux file system hierarchy. Practice with pwd, ls, and cd.

    File System Navigation Terminal
  3. 3

    Working with Files and Directories

    Create, copy, move, and delete files and folders from the command line. Use wildcards to work efficiently.

    cp and mv mkdir Wildcards
  4. 4

    Viewing and Searching Text

    Read file contents with cat, less, head, and tail, and search using grep and find. Apply these tools to log files.

    grep find Log Reading
  5. 5

    Pipes and Redirection

    Combine commands with pipes and redirect input and output to files. Build short command chains to process data.

    Pipes Redirection Command Chaining
  6. 6

    Text Editing with Nano and Vim

    Edit configuration files directly in the terminal using nano and the basics of vim. Learn essential shortcuts.

    Vim Nano Config Editing
M1.4 Linux Administration Essentials Learners manage users, permissions, processes, and software on Linux servers.
  1. 1

    Users and Groups

    Create and manage user accounts and groups and understand the role of the root user. Use sudo safely.

    User Management Groups sudo
  2. 2

    File Permissions and Ownership

    Read and change permissions with chmod and chown using symbolic and numeric modes. Apply secure defaults.

    chmod chown Permissions
  3. 3

    Package Management

    Install, update, and remove software using apt and yum. Learn how repositories work.

    apt yum Repositories
  4. 4

    Processes and Resource Monitoring

    View and control running processes and monitor CPU and memory use with top, ps, and kill. Identify a runaway process.

    Process Management top Monitoring
  5. 5

    Services and Systemd

    Start, stop, enable, and inspect services using systemctl. Read service logs with journalctl.

    systemctl journalctl Services
  6. 6

    Disk Management and Archiving

    Check disk usage, mount storage, and create compressed archives with tar. Plan simple backups.

    Disk Usage tar Mounting
M1.5 Networking and Shell Scripting Foundations Learners connect to remote servers, understand networking basics, and automate tasks with shell scripts.
  1. 1

    Networking Fundamentals for Cloud Engineers

    Understand IP addressing, DNS, ports, and common protocols such as HTTP and SSH. Relate them to cloud architectures.

    TCP/IP DNS Ports
  2. 2

    Remote Access with SSH

    Connect securely to cloud servers using SSH keys and transfer files with scp. Configure a simple SSH config file.

    SSH Key Pairs scp
  3. 3

    Network Troubleshooting Tools

    Diagnose connectivity issues using ping, curl, netstat, and traceroute. Follow a structured troubleshooting approach.

    curl ping Diagnostics
  4. 4

    Introduction to Bash Scripting

    Write first scripts using variables, input, and basic commands. Make scripts executable and run them.

    Bash Variables Script Execution
  5. 5

    Conditionals and Loops in Bash

    Add decision making and repetition to scripts with if statements and for and while loops. Automate a repetitive task.

    Conditionals Loops Automation
  6. 6

    Scheduling Tasks and Section Project

    Schedule scripts with cron and combine skills from the section in a small project that provisions and configures a cloud server.

    cron Automation Project Work
02 Section 2 Version Control and Scripting Automation Learners master Git-based collaboration and Bash and Python scripting to automate everyday infrastructure and development tasks. 5 modules 30 topics
M2.1 Git Fundamentals This module introduces the core concepts and daily commands of Git for tracking changes in code and configuration files.
  1. 1

    Version Control Concepts and Git Setup

    Understand why version control matters and how distributed systems work. Install Git and configure identity and editor settings.

    Git installation Version control Configuration
  2. 2

    Repositories, Staging and Commits

    Initialize repositories and move changes through the working directory, staging area and commit history. Practice writing clear commit messages.

    git init git add Commit messages
  3. 3

    Inspecting History and Differences

    Use log, diff and show to explore how a project evolved over time. Filter history by author, date and file.

    git log git diff History analysis
  4. 4

    Ignoring Files and Managing Project Hygiene

    Write gitignore rules and keep secrets and build artifacts out of repositories. Learn conventions for clean and maintainable repos.

    gitignore Secrets hygiene Repo structure
  5. 5

    Undoing Changes Safely

    Use restore, reset and revert to correct mistakes at different stages of the workflow. Compare the risks of each approach.

    git reset git revert Recovery
  6. 6

    Tags and Release Versioning

    Mark milestones with lightweight and annotated tags. Apply semantic versioning to software releases.

    Git tags Semantic versioning Releases
M2.2 Branching and Collaboration Workflows This module covers how teams work in parallel using branches, merges and review processes.
  1. 1

    Creating and Switching Branches

    Create feature branches and move between them without losing work. Understand how branch pointers work internally.

    git branch git switch Feature branches
  2. 2

    Merging and Resolving Conflicts

    Perform fast-forward and three-way merges and resolve conflicting changes by hand. Use merge tools to confirm correct results.

    git merge Conflict resolution Merge tools
  3. 3

    Rebasing and Clean History

    Rebase branches and squash commits to keep history linear and readable. Learn when rebasing is unsafe.

    git rebase Squash Interactive rebase
  4. 4

    Working with Remotes

    Clone, fetch, pull and push against remote repositories. Track upstream branches and keep local copies in sync.

    git clone git push Remotes
  5. 5

    Pull Requests and Code Review

    Open pull requests and give and receive constructive review feedback. Use protected branches and required checks.

    Pull requests Code review Branch protection
  6. 6

    Team Branching Strategies

    Compare Git Flow, GitHub Flow and trunk-based development. Choose a strategy that fits team size and release cadence.

    Git Flow Trunk-based Workflow design
M2.3 Bash Scripting Essentials This module builds practical shell scripting skills for automating repetitive command-line work.
  1. 1

    Shell Script Basics

    Write the first script with a shebang line and set execute permissions. Run scripts and understand exit codes.

    Shebang Permissions Exit codes
  2. 2

    Variables, Input and Arguments

    Use variables, command substitution, user prompts and positional parameters. Quote values correctly to avoid common bugs.

    Variables Arguments Quoting
  3. 3

    Conditionals and Test Expressions

    Control script flow with if statements, case blocks and file and string tests. Combine conditions with logical operators.

    if statements case Test operators
  4. 4

    Loops and Iteration

    Process lists, files and command output with for and while loops. Handle line-by-line input reliably.

    for loops while loops Iteration
  5. 5

    Functions and Reusable Scripts

    Organize logic into functions and source shared libraries. Return values and manage variable scope.

    Functions Scope Code reuse
  6. 6

    Error Handling and Debugging Bash

    Use set options, traps and logging to build robust scripts. Debug with trace mode and ShellCheck.

    set -euo pipefail trap ShellCheck
M2.4 Text Processing and Task Scheduling This module teaches tools that transform data and run automation on a schedule.
  1. 1

    Pipes and Redirection in Practice

    Chain commands with pipes and redirect standard streams to files. Build useful one-line data pipelines.

    Pipes Redirection stdout and stderr
  2. 2

    Searching with grep and Regular Expressions

    Match patterns in logs and configuration files using grep and regex syntax. Extract exactly the lines that matter.

    grep Regex Log searching
  3. 3

    Transforming Text with sed and awk

    Edit streams with sed substitutions and summarize columnar data with awk. Apply both tools to real log files.

    sed awk Text transformation
  4. 4

    Working with JSON and YAML on the Command Line

    Parse and modify structured data using jq and yq. Prepare for reading cloud API output and configuration files.

    jq yq Structured data
  5. 5

    Scheduling with Cron and Systemd Timers

    Schedule recurring jobs using crontab syntax and systemd timers. Capture output and handle failures.

    cron systemd timers Job scheduling
  6. 6

    Automating Backups and Log Rotation

    Build a script that archives data and rotates old logs. Schedule it and verify the results.

    Backups Log rotation tar
M2.5 Python Automation for DevOps This module applies Python to infrastructure tasks that outgrow shell scripts.
  1. 1

    Python Environment and Virtual Environments

    Set up Python and isolate project dependencies with venv and pip. Manage requirements files for repeatable setups.

    venv pip Dependencies
  2. 2

    Python Syntax for Automation

    Review data types, control flow and functions with a focus on operational scripts. Write small utilities for daily tasks.

    Python basics Functions Data types
  3. 3

    File System and Process Automation

    Use os, pathlib and subprocess to manage files and run system commands. Capture output and handle errors.

    pathlib subprocess File handling
  4. 4

    Calling REST APIs with Requests

    Send authenticated HTTP requests and parse JSON responses. Handle status codes, retries and timeouts.

    REST APIs requests JSON parsing
  5. 5

    Automating Cloud Resources with Python SDKs

    Use a cloud provider SDK to list, create and tag resources programmatically. Apply least-privilege credentials.

    Cloud SDK boto3 Credentials
  6. 6

    Building a Command-Line Automation Tool

    Package a script as a CLI tool using argparse and logging. Add tests and publish the code to a Git repository.

    argparse Logging Testing
03 Section 3 AWS Core Services and Networking Learners gain hands-on experience with the foundational AWS compute, storage, database, and networking services needed to design and run secure cloud environments. 5 modules 30 topics
M3.1 AWS Account Setup and Identity Management This module covers how to set up and secure an AWS account and control access using identity and permission tools.
  1. 1

    AWS Global Infrastructure and Console Tour

    Explore regions, availability zones, and edge locations while navigating the AWS Management Console. Learners practice choosing regions based on latency, cost, and compliance.

    AWS Regions Availability Zones Console Navigation
  2. 2

    Creating and Securing an AWS Account

    Set up a new account with root user protection and multi-factor authentication. Learners configure billing alerts and budgets to avoid surprise charges.

    Account Security MFA Budgets
  3. 3

    IAM Users, Groups, and Roles

    Learn how IAM identities are created and organized for least-privilege access. Learners build users, groups, and roles for common team scenarios.

    IAM Least Privilege Roles
  4. 4

    IAM Policies and Permission Boundaries

    Read and write JSON policies that allow or deny actions on resources. Learners test policies using the IAM policy simulator.

    JSON Policies Permissions Policy Simulator
  5. 5

    AWS CLI and SDK Access

    Configure the AWS CLI with named profiles and access keys or temporary credentials. Learners run basic commands and a short SDK script to manage resources.

    AWS CLI Credentials Boto3
  6. 6

    Shared Responsibility and Governance Basics

    Understand which security tasks belong to AWS and which belong to the customer. Learners review CloudTrail logs and tagging strategies for governance.

    Shared Responsibility CloudTrail Tagging
M3.2 Compute with EC2 and Serverless This module introduces virtual servers and serverless options for running applications on AWS.
  1. 1

    Launching EC2 Instances

    Choose instance types, AMIs, and key pairs to launch a virtual server. Learners connect over SSH and verify the running instance.

    EC2 AMI SSH
  2. 2

    Instance Storage and EBS Volumes

    Attach, format, and snapshot EBS volumes for persistent storage. Learners compare EBS with instance store and restore from a snapshot.

    EBS Snapshots Persistent Storage
  3. 3

    EC2 Pricing Models and Cost Optimization

    Compare on-demand, reserved, spot, and savings plan options. Learners estimate costs for sample workloads using the pricing calculator.

    Spot Instances Savings Plans Cost Estimation
  4. 4

    Load Balancing and Auto Scaling

    Distribute traffic with an Application Load Balancer and scale instances automatically. Learners configure scaling policies based on CPU metrics.

    ALB Auto Scaling High Availability
  5. 5

    AWS Lambda and Event-Driven Functions

    Build serverless functions triggered by events such as file uploads or schedules. Learners deploy a Lambda function and review its logs.

    Lambda Serverless Event Triggers
  6. 6

    Containers on AWS with ECR and ECS

    Push a container image to a registry and run it as a managed service. Learners understand task definitions and basic service deployment.

    ECR ECS Containers
M3.3 Storage and Databases This module explores AWS options for storing objects, files, and structured data.
  1. 1

    Amazon S3 Buckets and Objects

    Create buckets, upload objects, and organize data with prefixes. Learners explore storage classes and durability guarantees.

    S3 Storage Classes Object Storage
  2. 2

    S3 Security, Versioning, and Lifecycle Rules

    Protect data with bucket policies, encryption, and versioning. Learners set lifecycle rules to move or expire older objects.

    Bucket Policies Encryption Lifecycle
  3. 3

    Static Website Hosting with S3 and CloudFront

    Host a static site from S3 and speed up delivery through a CDN. Learners configure caching and HTTPS for the site.

    CloudFront Static Hosting CDN
  4. 4

    Relational Databases with Amazon RDS

    Launch a managed database and configure backups and multi-AZ deployment. Learners connect to the database from an EC2 instance.

    RDS Multi-AZ Backups
  5. 5

    NoSQL with DynamoDB

    Model data with tables, partition keys, and indexes. Learners perform basic read and write operations and understand capacity modes.

    DynamoDB Data Modeling NoSQL
  6. 6

    File Storage and Data Transfer Options

    Compare EFS and FSx for shared file systems and review tools for moving data into AWS. Learners choose the right storage service for given use cases.

    EFS Data Transfer Storage Selection
M3.4 VPC Networking Fundamentals This module teaches how to design and build isolated, well-structured networks in AWS.
  1. 1

    VPC Design and CIDR Planning

    Plan IP address ranges and create a custom VPC. Learners practice subnetting and avoiding overlapping CIDR blocks.

    VPC CIDR Subnetting
  2. 2

    Public and Private Subnets with Route Tables

    Build subnets across availability zones and control traffic paths using route tables. Learners decide which resources belong in each subnet type.

    Subnets Route Tables Network Design
  3. 3

    Internet Gateways and NAT Gateways

    Give public resources internet access and let private resources reach out safely. Learners test connectivity from both subnet types.

    Internet Gateway NAT Gateway Connectivity
  4. 4

    Security Groups and Network ACLs

    Compare stateful and stateless traffic filtering at the instance and subnet levels. Learners write rules and troubleshoot blocked connections.

    Security Groups NACLs Troubleshooting
  5. 5

    VPC Peering and Transit Connectivity

    Connect separate VPCs using peering and learn when a transit gateway fits better. Learners configure routes between two VPCs.

    VPC Peering Transit Gateway Routing
  6. 6

    Bastion Hosts and Secure Remote Access

    Reach private instances through a bastion host or Session Manager. Learners compare approaches and apply secure access practices.

    Bastion Host Session Manager Secure Access
M3.5 DNS, Monitoring, and Resilient Architecture This module combines traffic routing, observability, and design practices that keep AWS workloads reliable.
  1. 1

    DNS with Route 53

    Register domains and create hosted zones with common record types. Learners point a domain name to a load balancer or website.

    Route 53 DNS Records Domains
  2. 2

    Routing Policies and Health Checks

    Use weighted, latency-based, and failover routing to direct users. Learners configure health checks to trigger automatic failover.

    Failover Health Checks Traffic Routing
  3. 3

    Monitoring with CloudWatch Metrics and Logs

    Collect metrics and logs from AWS resources and view them on dashboards. Learners create custom metrics and log filters.

    CloudWatch Metrics Log Analysis
  4. 4

    Alarms and Notifications with SNS

    Set alarms on key metrics and send alerts through email or messaging topics. Learners build a simple alerting workflow for an EC2 instance.

    CloudWatch Alarms SNS Alerting
  5. 5

    Well-Architected Framework Principles

    Review the pillars of reliability, security, performance, cost, and operational excellence. Learners assess a sample architecture against these pillars.

    Well-Architected Architecture Review Best Practices
  6. 6

    Capstone Lab: Building a Highly Available Web Tier

    Combine VPC, EC2, load balancing, a database, and monitoring into one working deployment. Learners present the design and explain their choices.

    High Availability Hands-On Lab Solution Design
04 Section 4 Containers with Docker and Kubernetes Learners package applications into containers and then deploy, scale and operate them on Kubernetes clusters using production-style practices. 5 modules 30 topics
M4.1 Container Fundamentals Learners understand what containers are and how they differ from virtual machines while running their first containers.
  1. 1

    Containers versus Virtual Machines

    Compare container and VM architectures and learn when each is the right choice. Explore namespaces and cgroups at a conceptual level.

    Containerization Namespaces Cgroups
  2. 2

    Installing Docker and Running Containers

    Set up Docker on a workstation and run containers from public images. Practice starting, stopping and removing containers.

    Docker CLI Container Lifecycle Setup
  3. 3

    Working with Images and Registries

    Pull, tag and push images using Docker Hub and Amazon ECR. Learn how image layers and tags work.

    Docker Hub Amazon ECR Image Tagging
  4. 4

    Inspecting and Debugging Containers

    Use logs, exec, inspect and stats to diagnose a misbehaving container. Learn common exit codes and their meanings.

    Docker Logs Troubleshooting Exec
  5. 5

    Container Networking Basics

    Understand bridge, host and none networks and how published ports work. Connect containers to each other by name.

    Docker Networks Port Mapping DNS
  6. 6

    Persisting Data with Volumes and Bind Mounts

    Keep data beyond the container lifecycle using volumes and bind mounts. Compare storage options and backup approaches.

    Volumes Bind Mounts Data Persistence
M4.2 Building Production-Ready Images Learners write efficient and secure Dockerfiles and orchestrate multi-container applications locally.
  1. 1

    Writing Your First Dockerfile

    Learn core instructions such as FROM, COPY, RUN, CMD and ENTRYPOINT. Containerize a simple web application.

    Dockerfile Build Web App
  2. 2

    Layer Caching and Build Optimization

    Order instructions to take advantage of the build cache and use dockerignore files. Measure build time and image size improvements.

    Build Cache Dockerignore Optimization
  3. 3

    Multi-Stage Builds

    Separate build and runtime stages to produce small final images. Apply the pattern to a compiled and an interpreted application.

    Multi-Stage Builds Slim Images Runtime
  4. 4

    Image Security and Scanning

    Use minimal base images, non-root users and vulnerability scanners. Fix findings reported by a scan tool.

    Trivy Non-Root Vulnerability Scanning
  5. 5

    Docker Compose for Multi-Container Apps

    Define a web app, database and cache in one Compose file. Manage environment variables, networks and dependencies.

    Docker Compose Multi-Container Environment Config
  6. 6

    Automating Image Builds in CI

    Build, test and push images automatically on every commit using a CI workflow. Apply versioned tagging conventions.

    CI Pipeline GitHub Actions Image Publishing
M4.3 Kubernetes Architecture and Core Objects Learners grasp how a Kubernetes cluster works and deploy workloads using its core API objects.
  1. 1

    Kubernetes Architecture Overview

    Study the control plane, worker nodes, kubelet and etcd. Understand how a request flows through the cluster.

    Control Plane Nodes etcd
  2. 2

    Setting Up a Local Cluster and kubectl

    Create a local cluster with kind or minikube and configure kubectl contexts. Run basic commands to explore cluster state.

    kubectl Minikube Contexts
  3. 3

    Pods and Their Lifecycle

    Write Pod manifests in YAML and observe how Pods start, restart and terminate. Add probes to check health.

    Pods YAML Manifests Health Probes
  4. 4

    Deployments and ReplicaSets

    Run replicated applications and perform rolling updates and rollbacks. Understand how ReplicaSets maintain desired state.

    Deployments Rolling Updates Rollbacks
  5. 5

    Services and Cluster Networking

    Expose applications with ClusterIP, NodePort and LoadBalancer Services. Learn how service discovery and kube-proxy work.

    Services Service Discovery Load Balancing
  6. 6

    Namespaces, Labels and Selectors

    Organize and isolate resources using namespaces and labels. Query objects efficiently with selectors.

    Namespaces Labels Selectors
M4.4 Configuration, Storage and Application Operations Learners manage configuration, state and traffic routing for real applications running on Kubernetes.
  1. 1

    ConfigMaps and Secrets

    Decouple configuration from images using ConfigMaps and Secrets. Inject values as environment variables and mounted files.

    ConfigMaps Secrets Twelve-Factor
  2. 2

    Persistent Volumes and Claims

    Provision durable storage with PersistentVolumes, claims and storage classes. Attach storage to a database Pod.

    PersistentVolumes PVC StorageClass
  3. 3

    StatefulSets and Stateful Workloads

    Run ordered, stable-identity workloads such as databases with StatefulSets. Compare them with Deployments.

    StatefulSets Stable Identity Databases
  4. 4

    Ingress and Traffic Routing

    Route external HTTP traffic to multiple services using an Ingress controller. Configure host and path rules.

    Ingress NGINX Controller Routing Rules
  5. 5

    Resource Requests, Limits and Autoscaling

    Set CPU and memory requests and limits and configure the Horizontal Pod Autoscaler. Observe scaling under simulated load.

    Resource Limits HPA Load Testing
  6. 6

    Jobs, CronJobs and Package Management with Helm

    Run batch and scheduled tasks and package applications as Helm charts. Install and upgrade a chart with custom values.

    Jobs CronJobs Helm
M4.5 Kubernetes in the Cloud and Operations Learners run Kubernetes on managed cloud services and apply security, observability and troubleshooting practices.
  1. 1

    Managed Kubernetes with Amazon EKS

    Provision an EKS cluster and connect to it with kubectl. Understand node groups and the shared responsibility model.

    Amazon EKS Node Groups Cluster Provisioning
  2. 2

    Deploying an Application to EKS

    Push an image to ECR and deploy it to EKS behind a cloud load balancer. Validate the release end to end.

    ECR Load Balancer Deployment
  3. 3

    RBAC and Kubernetes Security

    Control access with roles, role bindings and service accounts. Apply network policies and Pod security settings.

    RBAC Network Policies Service Accounts
  4. 4

    Monitoring and Logging with Prometheus and Grafana

    Collect cluster and application metrics and build dashboards. Set up a basic alert rule.

    Prometheus Grafana Alerting
  5. 5

    Troubleshooting Kubernetes Workloads

    Diagnose CrashLoopBackOff, ImagePullBackOff and pending Pods using describe, logs and events. Follow a repeatable debugging workflow.

    Debugging kubectl describe Events
  6. 6

    Capstone: Containerize and Deploy a Microservices App

    Containerize a multi-service application and deploy it to Kubernetes with configuration, ingress and autoscaling. Present the architecture and lessons learned.

    Microservices End-to-End Deployment Presentation
05 Section 5 CI/CD Pipelines and Infrastructure as Code Learners build automated delivery pipelines and provision cloud infrastructure through code using industry standard tools and practices. 5 modules 30 topics
M5.1 CI/CD Principles and Pipeline Design This module introduces the concepts and design patterns behind continuous integration and continuous delivery.
  1. 1

    Continuous Integration Fundamentals

    Understand why teams integrate code frequently and how automated builds catch defects early. Map the stages of a typical CI workflow from commit to build artifact.

    CI concepts Build automation Code integration
  2. 2

    Continuous Delivery versus Continuous Deployment

    Compare delivery and deployment models along with their approval gates and risk profiles. Decide which approach fits different team and product contexts.

    Release strategy Deployment models Risk management
  3. 3

    Designing Pipeline Stages

    Structure pipelines into build, test, scan, package and deploy stages. Learn how to keep stages fast, isolated and repeatable.

    Pipeline design Stage isolation Repeatability
  4. 4

    Automated Testing in Pipelines

    Integrate unit, integration and smoke tests into automated workflows. Learn how to fail fast and report results clearly.

    Test automation Quality gates Fail fast
  5. 5

    Artifact Management and Versioning

    Store build outputs in registries and repositories with consistent version tags. Practice semantic versioning and artifact promotion across environments.

    Artifact registry Semantic versioning Promotion
  6. 6

    Branching Strategies for Delivery

    Examine trunk based development and GitFlow in the context of automated delivery. Choose a branching model that supports frequent and safe releases.

    Trunk based development GitFlow Release branches
M5.2 Building Pipelines with GitHub Actions and Jenkins This module gives learners hands-on practice creating pipelines in two widely used CI/CD platforms.
  1. 1

    GitHub Actions Workflows and Triggers

    Write workflow files that respond to pushes, pull requests and schedules. Understand jobs, steps and runners.

    GitHub Actions YAML workflows Event triggers
  2. 2

    Reusable Actions and Matrix Builds

    Create reusable workflows and run builds across multiple versions and platforms. Reduce duplication while widening test coverage.

    Reusable workflows Matrix builds Caching
  3. 3

    Secrets and Environment Management

    Store credentials securely and scope them to specific environments. Apply protection rules and manual approvals for production.

    Secrets handling Environments Approvals
  4. 4

    Jenkins Architecture and Setup

    Install Jenkins and configure controllers, agents and plugins. Understand how Jenkins schedules and executes builds.

    Jenkins Agents Plugin management
  5. 5

    Declarative Jenkins Pipelines

    Author Jenkinsfiles using declarative syntax with stages, conditions and post actions. Store pipeline definitions alongside application code.

    Jenkinsfile Declarative syntax Pipeline as code
  6. 6

    Building and Pushing Docker Images in CI

    Automate container image builds and publish them to a registry from a pipeline. Tag images using commit hashes and release versions.

    Docker in CI Image tagging Registry push
M5.3 Infrastructure as Code with Terraform This module teaches learners to define and provision cloud resources declaratively using Terraform.
  1. 1

    Infrastructure as Code Concepts

    Learn the benefits of declarative infrastructure including consistency, auditability and speed. Compare imperative and declarative approaches.

    IaC principles Declarative model Idempotency
  2. 2

    Terraform Workflow and HCL Basics

    Use init, plan and apply to manage resources written in HashiCorp Configuration Language. Read plan output to predict changes.

    Terraform CLI HCL syntax Plan and apply
  3. 3

    Providers, Resources and Data Sources

    Configure the AWS provider and define resources such as instances and buckets. Query existing infrastructure with data sources.

    AWS provider Resources Data sources
  4. 4

    Variables, Outputs and Locals

    Parameterize configurations to make them reusable across environments. Expose useful values through outputs.

    Input variables Outputs Locals
  5. 5

    Remote State and Locking

    Store state in remote backends with locking to enable safe team collaboration. Understand state files and how to protect them.

    Remote state State locking S3 backend
  6. 6

    Terraform Modules and Workspaces

    Package configurations into reusable modules and manage multiple environments with workspaces. Apply conventions for clean project layout.

    Modules Workspaces Code reuse
M5.4 Configuration Management and GitOps This module covers configuring servers with Ansible and managing deployments through Git driven workflows.
  1. 1

    Configuration Management Overview

    Understand the role of configuration management alongside provisioning tools. Compare Ansible, Chef and Puppet at a high level.

    Configuration management Tool comparison Desired state
  2. 2

    Ansible Inventory and Ad Hoc Commands

    Define inventories of hosts and run quick commands across them over SSH. Learn how Ansible operates without agents.

    Ansible Inventory SSH automation
  3. 3

    Writing Ansible Playbooks

    Create playbooks with tasks, handlers and variables to configure servers. Practice writing idempotent and readable automation.

    Playbooks Handlers Idempotent tasks
  4. 4

    Ansible Roles and Vault

    Organize automation into roles and protect sensitive data with Ansible Vault. Share and reuse roles across projects.

    Roles Ansible Vault Reusability
  5. 5

    GitOps Principles

    Treat Git as the single source of truth for infrastructure and application state. Explore pull based reconciliation and drift detection.

    GitOps Drift detection Source of truth
  6. 6

    Continuous Deployment to Kubernetes with Argo CD

    Install Argo CD and sync application manifests from a Git repository to a cluster. Practice rollbacks and automated sync policies.

    Argo CD Kubernetes deployment Rollbacks
M5.5 Secure and Reliable Delivery Practices This module focuses on securing pipelines and releasing software safely with confidence.
  1. 1

    Shifting Security Left with DevSecOps

    Embed security checks early in the development lifecycle. Understand shared responsibility between developers and operations.

    DevSecOps Shift left Security culture
  2. 2

    Static Analysis and Dependency Scanning

    Add code quality and vulnerability scans to pipelines using SAST and software composition analysis tools. Triage findings and set pass or fail thresholds.

    SAST Dependency scanning Vulnerability triage
  3. 3

    Container Image and IaC Scanning

    Scan container images and Terraform code for misconfigurations and known vulnerabilities. Block risky changes before they reach production.

    Image scanning Policy checks Misconfiguration
  4. 4

    Blue Green and Canary Deployments

    Release changes gradually or in parallel environments to reduce risk. Compare traffic shifting techniques and rollback speed.

    Blue green Canary release Traffic shifting
  5. 5

    Feature Flags and Rollback Strategies

    Decouple deployment from release using feature flags. Plan reliable rollback procedures for failed releases.

    Feature flags Rollback Release safety
  6. 6

    Capstone Pipeline Build and Review

    Assemble an end to end pipeline that tests, scans, provisions infrastructure and deploys an application. Present the design and receive structured feedback.

    End to end pipeline Integration Technical presentation
06 Section 6 Monitoring, Security and Capstone Deployment Learners master observability, cloud security and cost governance, then apply everything by designing, deploying and presenting a production-grade capstone project. 5 modules 30 topics
M6.1 Observability and Monitoring Foundations Learners build visibility into cloud applications using metrics, logs and traces.
  1. 1

    Principles of Observability

    Understand the difference between monitoring and observability and the role of metrics, logs and traces. Learn how golden signals guide what to measure.

    Observability Golden Signals Metrics
  2. 2

    Amazon CloudWatch Metrics and Alarms

    Create custom metrics, dashboards and alarms for EC2 and managed services. Configure notifications through SNS.

    CloudWatch Alarms SNS
  3. 3

    Centralized Logging with CloudWatch Logs and ELK

    Ship application and system logs to a central store and query them effectively. Compare managed logging with the ELK stack.

    Logging ELK Stack Log Insights
  4. 4

    Prometheus and Grafana for Kubernetes

    Deploy Prometheus and Grafana on a cluster to scrape metrics and build dashboards. Write basic PromQL queries.

    Prometheus Grafana PromQL
  5. 5

    Distributed Tracing and Application Performance

    Trace requests across microservices using OpenTelemetry and AWS X-Ray. Identify latency bottlenecks in service calls.

    OpenTelemetry X-Ray Tracing
  6. 6

    Alerting, SLIs, SLOs and Incident Response

    Define service level indicators and objectives and design actionable alerts. Practice an incident workflow with a blameless postmortem.

    SLO Incident Response On-Call
M6.2 Cloud Security and Identity Management Learners secure identities, access and data across cloud environments.
  1. 1

    Shared Responsibility and Security Fundamentals

    Learn the shared responsibility model and core security principles such as least privilege and defense in depth.

    Shared Responsibility Least Privilege Threat Basics
  2. 2

    IAM Policies Roles and Federation

    Write IAM policies and configure roles for services and cross-account access. Review MFA and single sign-on options.

    IAM Roles MFA
  3. 3

    Data Protection with KMS and Encryption

    Encrypt data at rest and in transit using KMS and TLS certificates. Manage key rotation and access to keys.

    KMS Encryption TLS
  4. 4

    Secrets Management and Secure Configuration

    Store and rotate credentials with AWS Secrets Manager and Parameter Store. Keep secrets out of code and pipelines.

    Secrets Manager Parameter Store Config Security
  5. 5

    Network Security and Perimeter Defense

    Harden VPCs using security groups, NACLs, WAF and Shield. Apply private connectivity patterns to reduce exposure.

    Security Groups WAF VPC Security
  6. 6

    Threat Detection with GuardDuty and CloudTrail

    Enable audit logging and threat detection to spot suspicious activity. Respond to findings with automated remediation.

    GuardDuty CloudTrail Auto Remediation
M6.3 DevSecOps and Compliance Automation Learners embed security checks and governance into delivery pipelines and infrastructure.
  1. 1

    Shifting Security Left in CI/CD

    Integrate security gates into pipelines from commit to deploy. Understand where each type of scan fits.

    DevSecOps Pipeline Gates Shift Left
  2. 2

    Static and Dependency Scanning

    Run SAST and software composition analysis to catch code flaws and vulnerable libraries. Triage and fix findings.

    SAST Dependency Scanning Vulnerability Triage
  3. 3

    Container Image and Kubernetes Security

    Scan images with Trivy and apply pod security standards, network policies and RBAC. Reduce the container attack surface.

    Trivy RBAC Network Policies
  4. 4

    Infrastructure as Code Policy Checks

    Validate Terraform with tools like Checkov and enforce rules using policy as code. Block risky changes before they reach production.

    Checkov Policy as Code Terraform
  5. 5

    Compliance and Governance with AWS Config

    Use AWS Config and Security Hub to track configuration drift and compliance posture. Map controls to common frameworks.

    AWS Config Security Hub Compliance
  6. 6

    Backup, Disaster Recovery and Resilience

    Design backup and recovery strategies with defined RTO and RPO targets. Compare pilot light, warm standby and multi-region approaches.

    Disaster Recovery RTO and RPO Backups
M6.4 Cost Optimization and Operational Excellence Learners control cloud spend and improve reliability and performance of running systems.
  1. 1

    Cloud Financial Management Basics

    Understand cost drivers and use Cost Explorer, budgets and tagging to gain spend visibility.

    Cost Explorer Budgets Tagging
  2. 2

    Right-Sizing and Pricing Models

    Choose between on-demand, reserved, savings plans and spot capacity. Right-size compute based on utilization data.

    Right-Sizing Spot Instances Savings Plans
  3. 3

    Autoscaling and Performance Tuning

    Configure autoscaling policies and load test applications to tune capacity. Balance performance against cost.

    Autoscaling Load Testing Performance
  4. 4

    Reliability Engineering and Chaos Testing

    Apply reliability patterns such as retries, circuit breakers and health checks. Run simple chaos experiments to validate resilience.

    Reliability Chaos Engineering Health Checks
  5. 5

    Well-Architected Framework Review

    Evaluate a workload against the six pillars of the AWS Well-Architected Framework. Produce an improvement plan from the findings.

    Well-Architected Architecture Review Best Practices
  6. 6

    Runbooks and Operational Automation

    Write runbooks and automate routine operations with Systems Manager and Lambda. Reduce toil through repeatable procedures.

    Runbooks Systems Manager Automation
M6.5 Capstone Project Deployment and Career Launch Learners design, deploy, secure and present an end-to-end cloud project and prepare for DevOps roles.
  1. 1

    Capstone Planning and Architecture Design

    Define requirements and design the capstone architecture covering networking, compute, pipeline and monitoring. Document decisions in a diagram and design brief.

    Architecture Design Requirements Documentation
  2. 2

    Building Infrastructure and Pipeline for the Capstone

    Provision the capstone environment with Terraform and set up a CI/CD pipeline. Apply version control workflows in a team setting.

    Terraform CI/CD Git Workflow
  3. 3

    Deploying the Application to Kubernetes

    Containerize the application and deploy it to a cluster with rolling updates and configuration management. Expose it securely through an ingress.

    Kubernetes Helm Ingress
  4. 4

    Adding Monitoring and Security Controls

    Instrument the capstone with dashboards, alerts and security scans. Verify IAM, secrets and network controls against a checklist.

    Monitoring Security Hardening Alerting
  5. 5

    Capstone Demo and Peer Review

    Present the deployed solution live and explain design trade-offs. Give and receive structured feedback from peers and mentors.

    Presentation Peer Review Technical Communication
  6. 6

    Certification Roadmap and DevOps Interview Preparation

    Map a path to AWS and Kubernetes certifications and practice common DevOps interview questions. Build a portfolio and resume that showcase the capstone.

    Certifications Interview Prep Portfolio

Everything about Cloud Computing & DevOps in one PDF

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Placement Training

Our Placement Support Services

Placement Training comes with the Placement Assistance plan. Once your course is completed, our placement trainers take you through these six live sessions one by one - finish all six to earn the Placement Training Completion Certificate.

  1. Complete your coursePlacement Training starts after course completion
  2. 6 sessions, one by oneEach step is scheduled after the previous one is done
  3. Get certifiedPlacement Training Completion Certificate
Step 1

1:1 Mock Interview

A live one-to-one mock interview with an industry expert, followed by honest feedback on your answers, confidence and presence.

1:1 Live
Online
Feedback
What You Get:
  • Technical & HR round simulation
  • Questions from your course domain
  • Body language & confidence pointers
  • Personal improvement checklist
After course completion Live Session
Choose Placement Assistance
Step 1 of 6 · live with a placement trainer
Step 2

Resume Optimization

Your resume reviewed line by line and reshaped into a clear, ATS-friendly profile that highlights your projects and skills.

ATS-Ready
Projects
Rewrite
What You Get:
  • Structure & format review
  • Impact-focused bullet points
  • Course projects showcased
  • Keywords for your target roles
After course completion Expert Review
Choose Placement Assistance
Step 2 of 6 · live with a placement trainer
Step 3

LinkedIn Optimization

Headline, About, skills and featured work tuned so recruiters can find you and quickly see what you can do.

Discoverable
Skills
Network
What You Get:
  • Headline & About section
  • Skills & endorsements plan
  • Featured projects & certificates
  • Networking & outreach tips
After course completion Profile Makeover
Choose Placement Assistance
Step 3 of 6 · live with a placement trainer
Step 4

Career-Led Workshop

A practical workshop on job search strategy, applications, interviews and how hiring works in your domain.

Job Search
Live
Hiring Process
What You Get:
  • Finding the right openings
  • Applications that get replies
  • Interview rounds explained
  • Offer & joining essentials
After course completion Industry-Led
Choose Placement Assistance
Step 4 of 6 · live with a placement trainer
Step 5

Career-Led Mentorship

Personal guidance from an industry mentor on roles, growth paths and your next career moves.

1:1 Mentor
Career Path
Growth
What You Get:
  • Role & domain fit discussion
  • Personal career roadmap
  • Skill gaps to close next
  • Answers to your career questions
After course completion Mentor-Led
Choose Placement Assistance
Step 5 of 6 · live with a placement trainer
Step 6

Industrial Communication Training

Workplace communication that employers expect: emails, meetings, presentations and professional etiquette.

Emails
Speaking
Workplace
What You Get:
  • Professional emails & messages
  • Meetings & stand-up updates
  • Presenting your work clearly
  • Workplace etiquette & teamwork
After course completion Communication
Choose Placement Assistance
Step 6 of 6 · live with a placement trainer

Placement Training Completion Certificate

Complete all six sessions to receive a verifiable certificate listing every training you finished - share it with recruiters along with your course certificate.

Subject Matter Experts

Meet Our SME Board Members

Expert professionals guiding your journey through real-world industry knowledge and practical experience.

Harshavardhan Kumar
Verified Expert
Intern Stump Solutions logo SME Board Member

Harshavardhan Kumar

Senior SME

Lead Consultant

Intern Stump Solutions

Computer Science professional specializing in AI, software development, education, and UI/UX consulting.

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Sri Satya Lokesh
Verified Expert
Dhan AI logo SME Board Member

Sri Satya Lokesh

Senior SME

Lead Engineer

Dhan AI

Strategic Lead Engineer specializing in scalable microservices, AI automation, and Conversational AI.

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Tools and Techniques

Key Tools and Techniques

Master industry-standard methodologies used by top-tier professionals, gaining practical exposure to tools, frameworks, and strategies for results.

01

Amazon Web Services

Industry Standard

The leading cloud platform used to run compute, storage, database and networking workloads.

02

Linux and Bash

Core Skill

The command line and scripting skills that underpin almost every server and DevOps task.

03

Git and GitHub

Must Have

Version control and collaboration workflows including branching, pull requests and code reviews.

04

Docker

Highly Demanded

Package applications and dependencies into portable containers that run the same everywhere.

05

Kubernetes

In Demand

Orchestrate, scale and manage containerised applications across clusters.

06

Jenkins

Widely Used

Automation server for building continuous integration and delivery pipelines.

07

Terraform

IaC Leader

Define and provision cloud infrastructure through declarative, version-controlled code.

08

Ansible

Automation

Agentless configuration management for automating server setup and application deployment.

09

Prometheus and Grafana

Observability

Collect metrics and build dashboards and alerts to keep systems observable and reliable.

Many More Tools Integrated in Curriculum
Course Projects

Projects You Will Work On

Build a strong portfolio by working on industry-relevant projects that simulate real job scenarios, helping you gain confidence and career-ready skills.

Linux Server Setup and Hardening

Industry-Led Project

Provision a Linux virtual machine and configure users, permissions, SSH keys and a firewall. Automate routine checks with shell scripts.

Duration: 6-10 hours

Static Website on AWS S3 and CloudFront

Industry-Led Project

Host a static website on S3 with a CDN and a custom domain setup. Configure HTTPS and access policies.

Duration: 6-10 hours

Three-Tier Application on AWS

Industry-Led Project

Deploy a web app using EC2, RDS and a load balancer inside a custom VPC. Configure security groups and auto scaling.

Duration: 6-10 hours

Dockerised Microservices App

Industry-Led Project

Containerise a multi-service application with Dockerfiles and Docker Compose. Push images to a container registry.

Duration: 6-10 hours

Kubernetes Cluster Deployment

Industry-Led Project

Deploy an application on Kubernetes with deployments, services and ingress. Practise rolling updates, rollbacks and scaling.

Duration: 6-10 hours

Jenkins CI/CD Pipeline

Industry-Led Project

Build a pipeline that tests, builds and deploys code on every commit. Add approval stages and notifications.

Duration: 6-10 hours

GitHub Actions Deployment Workflow

Industry-Led Project

Create automated workflows that build Docker images and deploy to AWS. Manage secrets and environments safely.

Duration: 6-10 hours

Infrastructure as Code with Terraform

Industry-Led Project

Write Terraform modules to provision a VPC, compute and storage resources. Manage remote state and multiple environments.

Duration: 6-10 hours

Monitoring Dashboard with Prometheus and Grafana

Industry-Led Project

Collect metrics from servers and containers and visualise them on Grafana dashboards. Configure alerts for key thresholds.

Duration: 6-10 hours
Choose your plan

Plans & pricing

Every plan includes live classes with industry SMEs and a verified course completion certificate. Pick the depth of support you want - your plan also unlocks discounts across Intern Stump.

StartsTo be announced
Enrolment closesBatch details soon
Duration4 Months
TimingsTo be announced

Plan 1

Course Only

Live classes with your SME, SME AI and live doubt chat.

₹9,999 ₹20,000 50% OFF

One-time fee · inclusive of GST

Batch status Batch open

Batch dates announced soon

Select plan

What's included

  • Live classes & completion certificate
  • Live projects - not included
  • Live work experience certificate - not included
  • 8C appraisal (rated by your SME)
  • SME AI (Insyrio)
  • Live chat with SME
  • Placement assistance - not included

Plan perks

10% off across Intern Stump - coins, self-paced courses, masterclasses, mock interviews

15% off membership plans

  • Live classes with industry SMEs
  • Course completion certificate
  • 8C appraisal rated by your SME
Most popular

Plan 2

Course + Live Work Experience

Build real projects and earn a live work experience certificate.

₹17,799 ₹60,000 70% OFF

One-time fee · inclusive of GST

Batch status Batch open

Batch dates announced soon

Select plan

What's included

  • Live classes & completion certificate
  • Live projects
  • Live work experience certificate
  • 8C appraisal report
  • SME AI (Insyrio)
  • Live chat with SME - not included
  • Placement assistance - not included

Plan perks

15% off across Intern Stump - coins, self-paced courses, masterclasses, mock interviews

20% off membership plans

  • Live classes with industry SMEs
  • Course completion certificate
  • Live projects reviewed by your SME

Plan 3

Placement Assistance

Everything in Live Work Experience, plus placement training.

₹25,999 ₹50,000 48% OFF

One-time fee · inclusive of GST

Batch status Batch open

Batch dates announced soon

Select plan

What's included

  • Live classes & completion certificate
  • Live projects
  • Live work experience certificate
  • 8C appraisal report
  • SME AI (Insyrio)
  • Live chat with SME
  • Placement assistance

Plan perks

20% off across Intern Stump - coins, self-paced courses, masterclasses, mock interviews

25% off membership plans

  • Live classes with industry SMEs
  • Course completion certificate
  • Six live placement training sessions
8C Appraisal SystemHow the eight Cs work
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Help & Learner Advisory Center

FAQs and Talk to our Consultant

Find answers to common questions about our learning tracks, placement assistance, and 8C evaluation model, or connect directly with an academic consultant.

Frequently Asked Questions

Click any question to view the answer.

No advanced coding is required. Basic computer skills are enough, and we teach Linux, scripting and automation from the ground up. Familiarity with any programming language will help you move faster.
The course runs for 4 Months with live mentor-led sessions, hands-on labs and project work. The schedule is designed so you can balance it with college or a job.
The next batch is the next batch and starts on soon. Sessions are held at to be announced. Recordings are shared if you miss a class.
The course fee is ₹17,799, down from the actual fee of ₹60,000, which gives you a saving of 70%. Please check the enrolment page for the latest offers.
Yes. Every module includes live labs on AWS and related tools, and you complete nine projects. We guide you on staying within free-tier limits to avoid unexpected costs.
The curriculum aligns with topics in AWS Cloud Practitioner, AWS Solutions Architect Associate, Kubernetes CKA and Terraform Associate. Exam fees are separate and not included in the course.
You can apply for roles such as DevOps Engineer, Cloud Engineer, Site Reliability Engineer trainee, Build and Release Engineer and Cloud Support Engineer. We also help with resume building and mock interviews.
Yes. After completing the required sessions and projects in Cloud Computing & DevOps, you receive an Intern Stump certificate of completion that you can add to your resume and LinkedIn profile.

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