Blended Learning • 8 Weeks • 320 Hours4.92 / 5Reviews

Cloud & DevOps Engineer Track (Azure Administrator - AZ-104 Aligned)

A beginner-friendly, industry-led program that equips learners with practical cloud engineering, DevOps and operations skills across Azure and AWS. The track covers Linux, networking, cloud infrastructure, CI/CD pipelines, containerisation (Docker, Kubernetes), automation (Ansible, Terraform fundamentals), monitoring and cloud operations. The curriculum is designed to prepare participants for the Microsoft AZ-104 (Azure Administrator) certification and real-world cloud & DevOps roles.

  • 320 hours of instructor-led sessions, practical labs and guided project work
  • Hands-on Azure & AWS operations, CI/CD, Kubernetes and automation
  • Practical assessments (written + hands-on) for each module
  • Job-ready outcomes mapped to cloud & DevOps entry-level roles
☁️

Cloud & DevOps Engineer Track (Azure Administrator - AZ-104 Aligned)

Start your journey today

8 weeks • 320 hours

Our knowledge partners

Kanban
AWS
Microsoft
Agile
PeopleCert
Comptia
ISACA

Course Overview

A beginner-friendly, industry-led program that equips learners with practical cloud engineering, DevOps and operations skills across Azure and AWS. The track covers Linux, networking, cloud infrastructure, CI/CD pipelines, containerisation (Docker, Kubernetes), automation (Ansible, Terraform fundamentals), monitoring and cloud operations. The curriculum is designed to prepare participants for the Microsoft AZ-104 (Azure Administrator) certification and real-world cloud & DevOps roles.

Course Syllabus

M1: Infrastructure & Cloud Foundations

Core infrastructure fundamentals: Linux, networking, basic cloud concepts, scripting, databases and AI-assisted infra operations to run and validate cloud workloads.

Linux essentials & system operationsNetworking fundamentals (IP, DNS, routing, firewalls)Cloud VPC concepts, public/private subnetsShell scripting & automation basicsDatabases (MySQL, MongoDB) CRUDWeb server deployment and DNSAI-assisted infra operations

M2: DevOps Foundations Mastery

Foundational DevOps toolchain, containerisation and CI/CD pipelines with practical labs in Git, Jenkins, Docker, Kubernetes basics, monitoring and configuration automation.

DevOps principles and CI/CD designGit, Jenkins, GitLab CI and pipeline creationDocker fundamentals and image managementKubernetes basics and deployment patternsMonitoring fundamentals (Prometheus & Grafana)Ansible automation basicsTerraform fundamentalsAI-assisted DevOps troubleshooting

M3: Cloud Operations Mastery — AWS & Azure

Hands-on operations on AWS (EC2, EBS, VPC, ELB, Route53) and Azure (VNets, NSGs, VMs, disks, load balancers, Azure Monitor, storage, backup & lifecycle), including scaling and reliability patterns.

AWS EC2, EBS, snapshots, IAM and VPC basicsAzure VNets, NSGs, routing, NAT and VM managementLoad balancing, autoscaling and VM scale setsAzure SQL / MySQL / PostgreSQL basicsStorage accounts, blob lifecycle and backupsMonitoring & Log Analytics (Azure Monitor, CloudWatch)Backup, restore and lifecycle managementCross-cloud equivalence and troubleshooting

M4: Cloud DevOps Foundations — AWS & Azure Pipelines

Build and operate cloud-native CI/CD pipelines and container deployment workflows using AWS DevOps services and Azure DevOps, with deployments to managed Kubernetes (EKS & AKS).

AWS DevOps toolchain: CodeCommit, CodeBuild, CodeDeploy, CodePipelineAWS ECR & EKS deployment workflowsAzure DevOps: Repos, Pipelines, CI/CDContainer deployment to Azure AKS and AWS EKSPipeline monitoring, artifact management and securityOperationalising CI/CD in cloud environments

Why This Bootcamp?

🛠️

Practical, Job-Ready Training

Hands-on labs and practical assessments that build deployable artifacts and operational runbooks.

🎯

Certification-Aligned

Curriculum mapped to Microsoft AZ-104 Azure Administrator objectives for certification readiness. :contentReference[oaicite:2]{index=2}

☁️

Cross-Cloud & DevOps Tooling

Covers both Azure and AWS concepts plus mainstream DevOps tooling (Jenkins, GitLab CI, Terraform, Ansible).

🤝

Train-and-Place Model

Part of Garranto’s Train-and-Place approach — learning, consulting-style practice and job placement support.

Fees & Schedule

8-Week Intensive Cloud & DevOps Program

SGD 10,000

Duration: 8 weeks (full-time) / 320 hours

Format: Instructor-led + hands-on labs + project sessions

Mode: Blended (virtual & in-person)

What's Included

  • 320 hours of structured learning
  • Instructor-led sessions and practical labs
  • Hands-on CI/CD and Kubernetes exercises
  • Azure & AWS lab exercises and templates
  • Module assessments and practical operations testing
  • Career coaching and job readiness support

How to Apply

1

Submit online application

2

Meet minimum prerequisites (basic computer literacy)

3

Interview or advisory session

4

Enrollment confirmation and fee arrangement

5

Pre-course onboarding

6

Program kick-off

Ready to Start?

Join our next cohort and launch your career in data science and machine learning. No prior experience required.

Our Instructors

Garranto Academy Cloud & DevOps Trainers

Cloud, DevOps & Operations Instructors

Industry practitioners with practical experience delivering cloud, DevOps and operations programs. :contentReference[oaicite:3]{index=3}

Azure administration & AZ-104AWS operations (EC2, VPC, EKS)CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps)Containerisation (Docker, Kubernetes), Automation (Ansible, Terraform)Monitoring & observability (Prometheus, Grafana, Azure Monitor)

Frequently Asked Questions

What are the prerequisites for this bootcamp?
No particular prerequisites. Knowledge of business domains and data analysis is helpful.
What is the course duration and schedule?
This is an 8-week program with 80 hours of training. Classes run Monday-Friday with 2 hours daily.
What certification will I receive?
Prepares you for the GSDC Certified Data Science Professional (CDSP).
What job roles can I pursue after completion?
Data Scientist, ML Engineer, Data Analyst, BI Analyst, Data Engineer, NLP Engineer, etc.
Is there career support provided?
Yes: interview prep, resume building and job placement assistance.

Build Your Career in Cloud & DevOps

This program prepares learners for operational and DevOps roles across cloud platforms, with a strong focus on Azure Administrator skills and multi-cloud techniques.

📈

High-Demand Career Paths

Start your journey with solid grounding in Python, SQL, machine learning, and data visualization.

Azure Administrator (AZ-104)
Cloud Support Engineer / Cloud Operations Engineer
Azure Cloud Engineer / Infrastructure Engineer
DevOps Engineer (Entry-Level)
Site Reliability Engineer (Junior SRE)
Systems Administrator (Linux/Cloud)
Cloud Migration & Deployment Specialist
Technical Support Engineer (Cloud Platforms)
Infrastructure Operations Analyst

Course outcomes align with industry demand for cloud operations, platform engineering and DevOps roles. :contentReference[oaicite:1]{index=1}

Ready to Transform Your Career?

Join our Data Science and Machine Learning Bootcamp and acquire the skills in demand by major employers.

📖

Explore Bootcamp Details

Find out more about curriculum and modules.

📊

Data Science Fundamentals

Learn fundamentals of data analysis.

👥

Talk to Our Team

Have questions? Schedule a call.

Book a Free Consultation
!