Duration4–5 months9–11 hours per week
All Levels · AWS · Azure · GCP
Cloud Engineer Program
Design, deploy, secure, automate and manage cloud infrastructure using AWS, Microsoft Azure, Google Cloud, DevOps practices, containers, infrastructure as code and monitoring tools.
Follow a structured 4–5 months roadmap from foundations to applied cloud engineer capability. Practise through 10+ projects, guided labs, case studies and mentor-reviewed assignments. Use AWS, Microsoft Azure, Google Cloud, Linux in realistic workflows rather than disconnected demonstrations.
A-56, Sector-64, Noida, Uttar Pradesh – 201301 Transparent program guidance
AWSMicrosoft AzureGoogle Cloud
Flagship pathway10+ projects and a portfolio-ready capstone
Program at a glance
Next batch23 Aug 2026Open for Registration
Learning modeLive Online / ClassroomAWS · Azure · GCP
LevelAll LevelsFoundations and guided progression
Projects10+ projectsGuided work plus capstone
CertificateCompletion certificatesubject to published attendance, assignment, project and assessment criteria.
Designed for applied outcomes
Why learners choose this program.
01
Follow a structured 4–5 months roadmap from foundations to applied cloud engineer capability.
02
Practise through 10+ projects, guided labs, case studies and mentor-reviewed assignments.
03
Use AWS, Microsoft Azure, Google Cloud, Linux in realistic workflows rather than disconnected demonstrations.
04
Build a portfolio-ready capstone and explain the decisions, validation and results.
05
Prepare for Cloud Engineer and Junior DevOps Engineer role conversations with structured career guidance.
Flagship program curriculum
Review every module and the skills covered.
Open each module to compare the detailed syllabus with your current skills and target role before enrolment. Curriculum reviewed 08 Jul 2026.01Module 1Cloud Computing Foundations
What learners master
Service models, deployment models, global infrastructure, shared responsibility, compute, storage, networking, identity, availability and cost.
Detailed syllabus
9 focused topicsTopics covered
- 01
Service models
- 02
deployment models
- 03
global infrastructure
- 04
shared responsibility
- 05
compute
- 06
storage
- 07
networking
- 08
identity
- 09
availability and cost
02Module 2Linux and Networking
What learners master
Linux commands, shell scripting, processes, permissions, TCP/IP, DNS, HTTP, load balancing, VPN, firewalls and troubleshooting.
Detailed syllabus
10 focused topicsTopics covered
- 01
Linux commands
- 02
shell scripting
- 03
processes
- 04
permissions
- 05
TCP/IP
- 06
DNS
- 07
HTTP
- 08
load balancing
- 09
VPN
- 10
firewalls and troubleshooting
03Module 3AWS Cloud
What learners master
EC2, S3, IAM, VPC, RDS, Lambda, CloudWatch, Route 53, ELB, Auto Scaling, CloudFormation and security controls.
Detailed syllabus
11 focused topicsTopics covered
- 01
EC2
- 02
S3
- 03
IAM
- 04
VPC
- 05
RDS
- 06
Lambda
- 07
CloudWatch
- 08
Route 53
- 09
ELB
- 10
Auto Scaling
- 11
CloudFormation and security controls
04Module 4Microsoft Azure
What learners master
Azure VMs, Storage, VNets, Entra ID, App Services, Azure SQL, Functions, Monitor, Key Vault and ARM templates.
Detailed syllabus
9 focused topicsTopics covered
- 01
Azure VMs
- 02
Storage
- 03
VNets
- 04
Entra ID
- 05
App Services
- 06
Azure SQL
- 07
Functions
- 08
Monitor
- 09
Key Vault and ARM templates
05Module 5Google Cloud Platform
What learners master
Compute Engine, Cloud Storage, IAM, VPC, Cloud SQL, BigQuery, Cloud Functions, Cloud Run and monitoring.
Detailed syllabus
8 focused topicsTopics covered
- 01
Compute Engine
- 02
Cloud Storage
- 03
IAM
- 04
VPC
- 05
Cloud SQL
- 06
BigQuery
- 07
Cloud Functions
- 08
Cloud Run and monitoring
06Module 6Containers and Kubernetes
What learners master
Docker, images, registries, Kubernetes architecture, pods, deployments, services, ingress, configuration, secrets and Helm.
Detailed syllabus
10 focused topicsTopics covered
- 01
Docker
- 02
images
- 03
registries
- 04
Kubernetes architecture
- 05
pods
- 06
deployments
- 07
services
- 08
ingress
- 09
configuration
- 10
secrets and Helm
07Module 7Infrastructure as Code
What learners master
Terraform providers, modules, state management, variables, reusable infrastructure patterns and environment provisioning.
Detailed syllabus
5 focused topicsTopics covered
- 01
Terraform providers
- 02
modules
- 03
state management
- 04
variables
- 05
reusable infrastructure patterns and environment provisioning
08Module 8DevOps and CI/CD
What learners master
Git, GitHub Actions, Jenkins fundamentals, build and deployment pipelines, artifacts, release strategies and rollback planning.
Detailed syllabus
6 focused topicsTopics covered
- 01
Git
- 02
GitHub Actions
- 03
Jenkins fundamentals
- 04
build and deployment pipelines
- 05
artifacts
- 06
release strategies and rollback planning
09Module 9Cloud Security
What learners master
IAM best practices, network segmentation, encryption, secrets, vulnerability management, logging, compliance and incident response.
Detailed syllabus
7 focused topicsTopics covered
- 01
IAM best practices
- 02
network segmentation
- 03
encryption
- 04
secrets
- 05
vulnerability management
- 06
logging
- 07
compliance and incident response
Tools and platforms
Use the practical stack behind the program.
Platform access and software requirements are confirmed before the cohort begins.AWSMicrosoft AzureGoogle CloudLinuxDockerKubernetesTerraformGitHub Actions
Portfolio-ready capstone
Build work you can explain, validate and present.
Deploy a highly available web application, secure cloud landing zone, Kubernetes application, automated infrastructure environment or production monitoring system.Final applied project
Cloud Engineer capstone
- Project direction
- Deploy a highly available web application, secure cloud landing zone, Kubernetes application, automated infrastructure environment or production monitoring system.
- Evidence 01
- A documented problem statement, scope and success criteria.
- Evidence 02
- A working implementation with architecture or process documentation.
- Evidence 03
- Testing, validation and limitations recorded against a review checklist.
Portfolio evidenceA documented problem statement, scope and success criteria.
Portfolio evidenceA working implementation with architecture or process documentation.
Portfolio evidenceTesting, validation and limitations recorded against a review checklist.
Portfolio evidenceA portfolio case study and presentation-ready project walkthrough.
Who should enrol
Confirm that this program matches your goals and starting point.
IT learners, freshers, system administrators, support engineers and infrastructure professionals.- Live online classes, hands-on labs, mentor-led projects, case studies, assessments, a capstone project, interview preparation and portfolio building.
- Plan for 9–11 hours per week.
Learning methodology
Live guidance, deliberate practice and reviewable outputs.
Live expert instruction
Live online classes, hands-on labs, mentor-led projects, case studies, assessments, a capstone project, interview preparation and portfolio building.
Guided hands-on practice
Apply each major concept through labs, case studies and 10+ projects.
Milestone feedback
Progress is reviewed through cloud service knowledge checks, guided infrastructure labs, security and architecture reviews, capstone deployment and operations review.
Portfolio validation
Document implementation decisions, test results, limitations and business or technical value.
Assessment approachEvidence-based progress, not passive attendance
Cloud service knowledge checks · Guided infrastructure labs · Security and architecture reviews · Capstone deployment and operations review
Career direction
Translate program work into a credible professional story.
Build role-aligned skills, project evidence and interview confidence for Cloud Engineer, Junior DevOps Engineer, Cloud Support Engineer, Site Reliability Associate, Infrastructure Engineer, Cloud Operations Engineer opportunities.- Cloud Engineer
- Junior DevOps Engineer
- Cloud Support Engineer
- Site Reliability Associate
- Infrastructure Engineer
- Cloud Operations Engineer
Portfolio and project review
Improve project structure, documentation, evidence and the clarity of each walkthrough.
Resume and profile guidance
Connect verified program capabilities and project outputs to a focused professional profile.
Interview preparation
Practise explaining technical decisions, trade-offs, results and limitations with confidence.
Application planning
Identify relevant role families and create a practical, consistent application plan.
Career support is not an employment guarantee. Outcomes depend on experience, participation, project quality, interviews, employer requirements and market conditions.
Noida learning centre
Local guidance for learners across Delhi NCR.
FutureEdgeAI Academy supports live online and classroom-guided flagship program cohorts according to each published batch format.A-56, Sector-64, Noida, Uttar Pradesh – 201301Program FAQs
Clear answers before you enrol.
Who should join the Cloud Engineer Program?
IT learners, freshers, system administrators, support engineers and infrastructure professionals.
Do I need prior experience?
No cloud certification is required. Basic computer, operating-system and networking awareness is recommended; Linux and networking foundations are included.
How much time should I plan each week?
Plan approximately 9–11 hours per week, including live sessions, guided labs, assignments, revision and portfolio work.
Are classes live or recorded?
The program includes live instructor-led classes. Recording access, notes, assignments and learning resources are provided according to the published cohort format.
What practical work will I complete?
10+ projects are included across guided labs, applied assignments and portfolio builds. The capstone direction is: Deploy a highly available web application, secure cloud landing zone, Kubernetes application, automated infrastructure environment or production monitoring system.
How will my progress be assessed?
Cloud service knowledge checks; Guided infrastructure labs; Security and architecture reviews; Capstone deployment and operations review. Learners receive feedback at key milestones before the capstone review.
Which tools will I use?
Learners practise with AWS, Microsoft Azure, Google Cloud, Linux, Docker, Kubernetes, Terraform, GitHub Actions. Published tools may be updated to reflect current workflows and platform availability.
Is career and placement assistance included?
Career support includes roadmap guidance, resume and profile improvement, portfolio reviews, mock interviews and opportunity visibility. Employment or placement is not guaranteed.
Will I receive a certificate?
A program completion certificate may be issued after the learner meets the published attendance, assignment, project and assessment requirements.
Current fee: ₹30,000. Payment options and refund terms are explained before payment. Review the academy's refund policy for published terms.
Learner proof
Practical learning, explained by the people who experienced it.
Published learner feedback from FutureEdgeAI pathways shows how guided projects, mentor review and career preparation can help learners communicate their work with greater confidence.5.0
“The SOC project helped me practise alert triage, investigation notes, incident response and the professional reporting expected from analysts.”
Arjun MehtaCybersecurity Learner
5.0
“Building one product end to end—React, APIs, authentication, databases, testing and deployment—made my portfolio much more credible.”
Priya MenonFull Stack Developer
5.0
“I progressed from AI fundamentals to building GenAI applications and a source-aware RAG assistant I could confidently demonstrate.”
Neha SinghApplied AI Learner
Individual learning and career outcomes vary by starting point, participation, project quality, experience and market conditions. Testimonials do not guarantee employment or placement.
Ready to explore Cloud Engineer Program?