#1 Choice For High-Impact Careers · Beginner to Advanced

Cloud Computing & DevOps Program

Ship software continuously with CI/CD, Docker, Kubernetes, Terraform and multi-cloud delivery — and use AI to cut the toil out of operations.

  • ★★★★★4.9learner rating
  • 12 modules
  • 60 live lessons
  • 4 projects
  • 6 MonthsDuration
  • 100% LiveMentor-led
  • Virtual Labs24/7 Practice
  • MicrosoftAligned Cert

Next cohort: SaturdayEvening & weekend batches · Limited seats per cohort

Program overview

About this program

Engineering teams now ship several times a day, and the people who make that safe are DevOps and cloud engineers. This 6-month programme takes you from the Linux command line to running containerised services on Kubernetes across AWS and Azure. You will build real pipelines, define infrastructure in Terraform, monitor what you ship, and apply AI to the parts of operations that used to eat entire afternoons — reading logs, triaging alerts and writing runbooks.

  • Duration6 Months
  • LevelBeginner to Advanced
  • FormatLive Online
  • Curriculum12 modules
  • CertificateAcademy certificate
  • LanguageEnglish
  • Global CertificateMicrosoft Aligned
  • Career FocusedSkills aligned with in-demand roles & industry needs.
  • Hands-on LearningReal-world labs, projects & simulations.
  • Expert InstructorsLearn from industry experts with years of experience.
  • 24/7 SupportGet help anytime from mentors and community.

What you will be able to do

What you will master

A rigorously engineered syllabus designed in partnership with active tech leaders.

  • Work confidently on the Linux command line and with Git branching workflows
  • Build CI/CD pipelines in GitHub Actions and Jenkins that test, build and deploy automatically
  • Package applications with Docker and run them reliably in production
  • Deploy, scale and troubleshoot workloads on Kubernetes
  • Define repeatable infrastructure with Terraform and configure it with Ansible
  • Deliver services on AWS and Azure, including networking, storage and identity
  • Instrument systems with Prometheus and Grafana and act on what they show
  • Apply AI assistants to log analysis, incident triage and runbook authoring
  • Build in security from the start with secrets management and image scanning
  • Control cloud spend with tagging, right-sizing and budget alerts
  • Ship an end-to-end capstone: a containerised service delivered by pipeline to the cloud

Tools & tech stack

Tools you'll master

  • Linux
  • Git
  • GitHub Actions
  • Jenkins
  • Docker
  • Kubernetes
  • Helm
  • Terraform
  • Ansible
  • AWS
  • Azure
  • Prometheus
  • Grafana
  • Bash
  • Python

Curriculum

Module-by-module curriculum

12 in-depth modules covering end-to-end concepts, hands-on lab exercises, and capstone milestones.

12 modules 60 lessons 6 Months

1 Linux, Networking & Shell Scripting5 lessons · Weeks 1–2

Build the operating system and networking foundation every DevOps engineer relies on.

  • Linux architecture, file system and permissions
  • Processes, services and package management
  • Networking fundamentals: DNS, HTTP, TCP/IP and load balancing
  • Bash scripting for automation
  • Lab: automating server setup with shell scripts
2 Git, GitHub & Collaboration Workflows5 lessons · Weeks 3–4

Version-control everything and collaborate like a modern engineering team.

  • Git fundamentals: commits, branches and merges
  • Branching strategies and trunk-based development
  • Pull requests and code review
  • GitHub Actions basics
  • Lab: team workflow on a shared repository
3 Python & Automation for DevOps5 lessons · Weeks 5–6

Use Python to automate infrastructure, APIs and operational tasks.

  • Python essentials for DevOps engineers
  • Working with REST APIs and JSON/YAML
  • Automating cloud tasks with SDKs (boto3)
  • Writing CLI tools and scripts
  • Lab: building an operations automation tool
4 Continuous Integration & Delivery5 lessons · Weeks 7–8

Design CI/CD pipelines that build, test and ship software safely and quickly.

  • CI/CD principles and pipeline design
  • Jenkins pipelines
  • GitHub Actions and GitLab CI
  • Automated testing and quality gates
  • Lab: end-to-end CI/CD pipeline
5 Docker & Containerisation5 lessons · Weeks 9–10

Package applications into portable containers and run them consistently anywhere.

  • Containers vs virtual machines
  • Writing efficient Dockerfiles
  • Docker networking and volumes
  • Docker Compose for multi-service apps
  • Lab: containerising a full-stack application
6 Kubernetes in Production5 lessons · Weeks 11–12

Deploy, scale and operate containerised workloads on Kubernetes.

  • Kubernetes architecture and core objects
  • Deployments, services and ingress
  • ConfigMaps, secrets and storage
  • Helm charts and GitOps with Argo CD
  • Lab: deploying and autoscaling a microservice
7 Infrastructure as Code with Terraform & Ansible5 lessons · Weeks 13–14

Provision and configure infrastructure repeatably with code.

  • Infrastructure-as-code principles
  • Terraform providers, resources and modules
  • Terraform state and workspaces
  • Configuration management with Ansible
  • Lab: provisioning a cloud environment with Terraform
8 AWS Cloud Engineering5 lessons · Weeks 15–16

Design and build secure, scalable architectures on Amazon Web Services.

  • AWS global infrastructure and IAM
  • Compute: EC2, Auto Scaling and Lambda
  • Networking: VPC, subnets and load balancers
  • Storage and databases: S3, RDS and DynamoDB
  • Lab: highly available web architecture on AWS
9 Azure & Multi-Cloud5 lessons · Weeks 17–18

Extend your cloud skills to Microsoft Azure and multi-cloud strategies.

  • Azure fundamentals and resource management
  • Azure compute, networking and storage
  • Azure DevOps pipelines
  • AKS and managed Kubernetes services
  • Multi-cloud strategy and cost optimisation (FinOps)
10 Observability & Site Reliability Engineering5 lessons · Weeks 19–20

Keep systems healthy with monitoring, logging, alerting and SRE practices.

  • Monitoring with Prometheus and Grafana
  • Centralised logging with the ELK stack
  • Distributed tracing with OpenTelemetry
  • SLIs, SLOs, error budgets and on-call
  • Lab: building an observability dashboard
11 AI for DevOps: AIOps, MLOps & LLMOps5 lessons · Weeks 21–22

Use AI to run operations smarter and learn to deploy and operate AI workloads.

  • AIOps: anomaly detection and incident prediction
  • AI assistants for infrastructure and pipelines
  • MLOps pipelines and model deployment
  • LLMOps: serving and monitoring LLM applications
  • Lab: AI-assisted incident triage
12 DevSecOps & Capstone5 lessons · Weeks 23–24

Build security into every stage of delivery and deliver a production-grade capstone.

  • Shift-left security and DevSecOps principles
  • Container and image scanning
  • Secrets management and policy as code
  • Certification roadmap: AWS, Azure and CKA
  • Capstone: secure, observable cloud platform with CI/CD
Want the full syllabus?A career advisor will walk you through every module and the schedule.
Talk to an advisor

Projects

Projects that build your portfolio

Build practical, portfolio-ready work for real enterprise challenges.

  1. 01

    Automated Delivery Pipeline

    Take an application from a Git push to a deployed environment with automated tests, build, and rollback.

    Mentor reviewedPortfolio ready
  2. 02

    Microservices on Kubernetes

    Run a multi-service application with health checks, autoscaling, and zero-downtime rolling updates.

    Mentor reviewedPortfolio ready
  3. 03

    Infrastructure as Code on Two Clouds

    Provision the same environment on AWS and Azure from a single Terraform codebase.

    Mentor reviewedPortfolio ready
  4. 04

    AI-Assisted Incident Response

    Wire monitoring to an AI assistant that summarises alerts, surfaces likely causes, and drafts the runbook.

    Mentor reviewedPortfolio ready

Getting started

Everything you need to get started

No advanced experience required — just bring your curiosity and ambition.

Who this is for

Built for Ambitious Professionals

  1. Software developers who want to own how their code reaches production
  2. IT support, system administrators and network engineers moving into cloud roles
  3. QA and manual testers automating build and release work
  4. Career changers targeting a first cloud or platform engineering role

Prerequisites

What You Need to Begin

  • Graduates or working professionals comfortable using a computer daily
  • No prior DevOps experience required — the programme starts with Linux and Git basics
  • A laptop with internet access for cloud labs and free-tier accounts

Why YugalTech

Why learn this with Yugal Tech Academy

We focus on practical hands-on capability, virtual lab execution, and real mentorship to ensure you stand out in competitive global markets.

  • Live Instructor-Led Cohort

    Weekend sessions with an engineer who runs production systems, with recordings if you miss one.

  • Hands-On Cloud Labs

    Every module is practised in real AWS and Azure accounts, not on slides.

  • Mentor & Doubt Support

    Bring broken pipelines and failing clusters to dedicated troubleshooting sessions.

  • Four Portfolio Projects

    Ship a pipeline, a Kubernetes deployment, multi-cloud Terraform, and an AI-assisted incident workflow.

  • Security Built In

    Secrets management, image scanning, and least-privilege access practised from the first module.

  • Career & Interview Guidance

    Portfolio review, resume positioning, and mock interviews for DevOps and cloud roles.

Learning format

How the program runs

  • Live sessionsEvening and weekend cohorts, taught live.
  • RecordingsEvery session recorded and available in the LMS.
  • Mentor & doubt supportWeekly doubt-clearing and personalised technical help.
  • Assignments & code reviewReviewed exercises with actionable feedback.
  • CommunityCohort channel with peers, alumni and mentors.
  • Fast Track optionSame curriculum, compressed schedule, weekly private mentorship.

Career prospects

Roles this program prepares you for

High-demand job roles and average salaries unlocked after completing this program.

DevOps Engineer

Own the pipelines, environments, and automation that move code from a merge to production safely.

Cloud Engineer

Design and run compute, networking, storage, and identity on AWS and Azure.

Site Reliability Engineer (SRE)

Set service level objectives, run on-call, and keep systems available under real load.

Platform Engineer

Build the internal tooling and paved paths other engineering teams deploy on.

Build & Release Engineer

Manage versioning, artifacts, release trains, and rollback strategy across environments.

Cloud Infrastructure Specialist

Define infrastructure as code, control cloud spend, and enforce security baselines.

Salary figures are indicative market averages and vary by location, experience and employer.

Certification

Finish with a credential

Earn the academy certificate and prepare for the Microsoft AZ-104 exam.

Academy certificate
Sample Yugal Tech Academy certificate for Cloud Computing & DevOps Program

Yugal Tech Academy Certificate

Cloud Computing & DevOps Program

Issued by Yugal Tech Academy on completion of the assessed work, signed by the Managing Director.

Vendor exam preparation

Microsoft AZ-104

Azure Administrator Associate

The vendor credential this program prepares you to sit. The exam is taken by the learner; YugalTech does not award it.

Parent company · YugalTech Staffing

Our global hiring partners

Through YugalTech Staffing, our dedicated hiring partner, Yugal Tech Academy supports students beyond learning by connecting them with organizations worldwide — a streamlined path from skills to real opportunities.

YugalTech Staffing Parent company · In-house recruitment

USA · UK · India

Core Value Proposition

“Bridging the gap between education and employment.”

While Yugal Tech Academy delivers live training and academy certificates, YugalTech Staffing handles recruitment, employer relationships and placements for graduates.

  • 250+Hiring partners
  • 3Markets
  • 1:1Placement coordinator

Dedicated placement coordinators

A named coordinator assists each learner through their job search.

Resume building & mock interviews

A powerful resume plus mock interview sessions with industry experts that simulate real scenarios.

Hiring partner network

Introductions across an extensive network of hiring partners when a real opening fits.

Curated job openings

Roles from the network are published on the Job Openings page and updated by the placement team.

Direct referrals and priority screening for Yugal Tech Academy graduates.

View job openings

Standard vs Fast Track

One curriculum. Two ways to learn.

Fixed USD pricing for United States — not converted. Change market in the header to see other prices.

Pay the full program fee

Standard Program

Full live cohort

$2,499 USD

  • 6-month live cohort, evenings and weekends
  • Hands-on projects and guided labs
  • Career support: CV, portfolio and mock interviews
  • Lifetime LMS access with recordings
Enroll in Standard

or

Pay the registration fee only

Only $99 is charged today. It is deducted automatically when you pay the full fee with the same email address. Registration fee reserves your seat; balance in instalments where offered.

Evening and weekend batches; recordings in the LMS. Refund policy.

Program FAQ

Frequently asked questions

Do I need prior experience before enrolling in this program?

No advanced background is required. The curriculum begins with fundamental concepts and systematically progresses to advanced industry practices with step-by-step guidance.

Are classes live or pre-recorded?

You get interactive live mentor-led classes where you can ask questions in real time, plus 24/7 lifetime access to high-definition recordings of every session, lab guides, and code repositories.

Will I receive a globally recognized certificate?

Yes! Upon successful completion of the course and capstone projects, you will receive an official verifiable certificate from Yugal Tech Academy aligned with Microsoft Certified standards.

What kind of career and placement support is provided?

We offer dedicated career coaching, resume reviews, LinkedIn profile branding, portfolio reviews, mock technical interviews, and direct referral opportunities through our global hiring partner network.

What happens if I miss a live session?

All live sessions are recorded and uploaded to your student portal within hours. You also have 24/7 access to our community and mentors to get your doubts answered.

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