Course

AWS Cloud & DevOps Engineering with AI

A complete AWS Cloud & DevOps Engineer program: cloud and AWS fundamentals (EC2, S3, VPC, IAM), Linux and scripting for automation, Infrastructure as Code with Terraform and CloudFormation, containers and Kubernetes on Amazon EKS, CI/CD pipelines with Jenkins, GitHub Actions and AWS CodePipeline, configuration management and monitoring with Ansible, CloudWatch, Prometheus and Grafana, advanced AWS services (Lambda, RDS, DynamoDB, API Gateway, security services), AI-augmented DevOps (AIOps) for infrastructure code and incident triage, SRE and FinOps fundamentals, and AWS certification prep — choose from 6 flexible packages, each with mock-interview checkpoints and full career-launch support.

⏱ 14 Weeks 🖥 Online 💻 5 Projects ⭐ 4.8/5

🎓 Book Free Demo 📞 +91 75502 51906

INCLUDED AT NO COST

Everything below is included at no extra cost

🚀 FREE!

Live Project(s)

💼 FREE!

Job Reference(s)

🎓 FREE!

Career Guidance

♾️ FREE!

Life Time Support

PACKAGES

We Offer Responsive Packages With An Unexplored Syllabus

Zero to AWS-ready

⏱ 4.5 Weeks

★ 4.7/5

AWS Cloud Foundations

AWS core services, Linux and scripting fundamentals — the on-ramp for anyone starting a cloud career from zero.

Cloud & AWS Fundamentals
Linux & Scripting for DevOps
Comprehensive Interview Prep & Career Launch

AWS EC2/S3/VPC/IAM, Linux, Bash, Python

View Curriculum →

Most enrolled

⏱ 6 Weeks

★ 4.8/5

Infrastructure as Code Specialist

Terraform and CloudFormation, from first module to a CI-integrated IaC workflow.

AWS Foundations Recap
Linux & Scripting for DevOps
Infrastructure as Code with Terraform & CloudFormation
CI/CD Pipelines
Comprehensive Interview Prep & Career Launch

AWS, Terraform, AWS CloudFormation, GitHub Actions

View Curriculum →

Core DevOps stack

⏱ 8 Weeks

★ 4.8/5

AWS DevOps Core

The full core DevOps stack — IaC, containers, Kubernetes on EKS, CI/CD and monitoring — the most widely hired combination.

Cloud & AWS Fundamentals
Infrastructure as Code with Terraform & CloudFormation
Containers & Kubernetes on AWS
CI/CD Pipelines
Configuration Management & Monitoring
Comprehensive Interview Prep & Career Launch

AWS EC2/VPC/IAM, Terraform, Docker, Kubernetes (EKS), Jenkins, GitHub Actions, CloudWatch

View Curriculum →

Only at Fourcup

⏱ 5.5 Weeks

★ 4.9/5

AI-Augmented Cloud & AIOps

Advanced AWS services plus AI-assisted infrastructure code, anomaly detection and SRE/FinOps discipline — what most catalogues skip entirely.

Advanced AWS Services
Configuration Management & Monitoring
AI-Augmented DevOps (AIOps)
Site Reliability Engineering & Cost Optimization
Comprehensive Interview Prep & Career Launch

AWS Lambda, RDS, CloudWatch, Prometheus, Grafana, AI-assisted IaC tools

View Curriculum →

Flagship

⏱ 15 Weeks

★ 4.9/5

Complete AWS Cloud & DevOps Flagship Program

Every module — AWS, IaC, containers, CI/CD, monitoring, AIOps, SRE/FinOps and certification prep — the full Cloud & DevOps Engineer path.

All 11 core modules, start to finish
Terraform, Docker, Kubernetes (EKS) and full CI/CD
AI-Augmented DevOps (AIOps) & SRE/FinOps
AWS Certification Prep (Solutions Architect & DevOps Professional)
Comprehensive Interview Prep & Career Launch

AWS (EC2, S3, VPC, IAM, Lambda, RDS, DynamoDB, API Gateway, WAF, GuardDuty), Terraform, CloudFormation, Docker, Kubernetes (EKS), Jenkins, GitHub Actions, CodePipeline, Ansible, CloudWatch, Prometheus, Grafana, AI-assisted IaC tools

View Curriculum →

Customized

⏱ Custom

★ 4.8/5

Build Your Own (Customized)

Pick exactly the modules you need from the full AWS Cloud & DevOps module bank, priced and scheduled to match.

Choose any modules from the shared bank
Custom duration & pricing
Same trainers, same mock-interview access
Comprehensive Interview Prep & Career Launch included

Selected per module

View Curriculum →

LEARNING OUTCOMES

What you will be able to do

Concrete skills, not topic names — each one is something you can show an interviewer.

🎯

Design test cases that find real defects

Boundary values, equivalence classes and edge cases — not just happy-path coverage.

🧪

Automate with a real framework

Page Object Model, reusable helpers and a suite you can actually maintain.

📊

Read a defect report the way a developer will

Reproduction steps, severity and evidence — reports that get fixed, not ignored.

🔧

Build and maintain a test suite

Structure tests so they survive the product changing under them.

🔗

Test APIs, not just interfaces

Postman and REST Assured, including auth flows most courses skip.

📈

Run suites in a CI pipeline

Jenkins and GitHub Actions — tests that run on every commit automatically.

TOOLS & SKILLS

Tools and skills covered

Java

Selenium

TestNG

Postman

Git

Jenkins

JMeter

SQL

🏆

Certificate of Completion

Awarded once every module and project is complete — recognised by our hiring partners.

IS THIS FOR YOU?

Who this course is for

If none of these describe you, tell us — we will point you at a better fit rather than sell you this one.

🎓

Freshers from any engineering branch

🔁

Manual testers hitting the automation ceiling

💻

Support engineers moving into QA

WHY IN FOURCUP?

Software Testing Program

Practical exposure to actual work environment

Work on live, under-construction projects with the exposure of an actual work environment, alongside a freelancer.

Dynamic syllabus structure

Built with multiple industry experts, so students become genuinely fluent in the subject rather than exam-ready.

Expert teachers who are active practitioners too

Mentors bring real industry experience and share their ups, downs and delivery skills, not just slides.

GET STARTED

Get Started Today

Download our Syllabus and review it thoroughly.

Request Call Back / Apply the Enquiry Form.

Join Our Free Demo Class.

Understand the Opportunity.

Join the Training session and become an expert!

KEEP EXPLORING

Get Your Related Courses

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AI, ML & Soft Skills

AI, ML & Soft Skills — Complete Career Accelerator

A complete AI/ML Engineer flagship program covering Python and statistical foundations, classical machine learning with scikit-learn, XGBoost and LightGBM, deep learning with PyTorch, the full LLM/GenAI engineering stack (Hugging Face, LangChain, LlamaIndex, fine-tuning, end-to-end RAG pipeline design), vector databases (Pinecone, Weaviate, Chroma, Milvus), MLOps (FastAPI, Docker, Kubernetes, MLflow, Airflow, ONNX), AI agent frameworks (LangGraph, AutoGen, CrewAI, MCP) and responsible AI — folded together with professional communication, behavioral interview mastery and resume/portfolio building, so technical depth and interview readiness are built in one program instead of two.

PythonNumPypandasscikit-learnXGBoost+19 more

15% OFF Flagship AI/ML program

AI, ML & Soft Skills

Soft Skills & Interview Readiness Add-On

A focused Soft Skills & Interview Readiness program covering professional communication for technical roles, group discussion and aptitude fundamentals, the STAR method for behavioral interviews, body language and virtual-interview presence, salary negotiation and offer evaluation, workplace professionalism, and resume/LinkedIn optimization — anchored by a mock interview tailored to your own track (developer, tester or cloud/DevOps), not a generic HR-round rehearsal. Designed to work equally well as a standalone short course or as an add-on graduates of other Fourcup tracks bolt onto their main course.

Zoom/Google MeetSlackLinkedInResume templates

22% OFF Standalone or add-on

AI, ML & Soft Skills

AI & GenAI Add-On — Practical AI Skills for Tech Professionals

Works two ways: as a standalone short course in practical AI/GenAI literacy, or as an add-on for graduates of Fourcup's testing, development or cloud/DevOps tracks who want to layer AI skills onto their main course. Covers what LLMs are and aren't, prompt engineering, evaluating AI output critically, using AI coding/testing/ops assistants day to day, RAG (embeddings, vector databases), calling LLM APIs with streaming and tool-calling, a beginner-level intro to AI agents (LangGraph, AutoGen, CrewAI, MCP), and responsible AI use — scoped for practical fluency, not full ML engineering depth.

ChatGPTClaudeGeminiGitHub CopilotClaude Code+10 more

20% OFF Add-on ready

CURRICULUM

Module by module

Open any module to see exactly what it covers. Nothing is hidden behind a "download the syllabus" form.

4.5 Weeks

DURATION

MODULES

REAL-TIME PROJECTS

MOCK INTERVIEWS

Zero to AWS-ready

AWS Cloud Foundations

⏱ 4.5 Weeks ★ 4.7

3 modules

Most enrolled

Infrastructure as Code Specialist

⏱ 6 Weeks ★ 4.8

5 modules

Core DevOps stack

AWS DevOps Core

⏱ 8 Weeks ★ 4.8

6 modules

Only at Fourcup

AI-Augmented Cloud & AIOps

⏱ 5.5 Weeks ★ 4.9

5 modules

Flagship

Complete AWS Cloud & DevOps Flagship Program

⏱ 15 Weeks ★ 4.9

11 modules

Customized

Build Your Own (Customized)

⏱ Custom ★ 4.8

0 modules

1 Cloud & AWS Fundamentals 2 wks ▾

Topic	What You'll Learn
1. AWS Global Infrastructure	Regions, Availability Zones and edge locations, and why placing resources correctly affects both latency and resilience.
2. Compute with EC2	Instance types, AMIs, launch templates, and choosing the right instance family for a workload instead of defaulting to the biggest one.
3. Storage with S3	Buckets, storage classes, lifecycle policies, and versioning, including the access-control mistakes that cause real data exposure incidents.
4. VPC Networking Basics	Subnets, route tables, internet/NAT gateways, and security groups vs. network ACLs — building a network you can actually explain in a diagram.
5. IAM	Users, Groups, Roles and Policies — Least-privilege access design, and why "just attach AdministratorAccess" is the single most common AWS security finding.
5.1) Real-world starting point	Most beginners are handed an existing AWS account, not a blank one. Reading and auditing what's already there is as important as building from scratch.

Topic	What You'll Learn
1. AWS Global Infrastructure	Regions, Availability Zones and edge locations, and why placing resources correctly affects both latency and resilience.
2. Compute with EC2	Instance types, AMIs, launch templates, and choosing the right instance family for a workload instead of defaulting to the biggest one.
3. Storage with S3	Buckets, storage classes, lifecycle policies, and versioning, including the access-control mistakes that cause real data exposure incidents.
4. VPC Networking Basics	Subnets, route tables, internet/NAT gateways, and security groups vs. network ACLs — building a network you can actually explain in a diagram.
5. IAM	Users, Groups, Roles and Policies — Least-privilege access design, and why "just attach AdministratorAccess" is the single most common AWS security finding.
5.1) Real-world starting point	Most beginners are handed an existing AWS account, not a blank one. Reading and auditing what's already there is as important as building from scratch.

2 Linux & Scripting for DevOps 1.5 wks ▾

Topic	What You'll Learn
1. Linux Administration Essentials	File systems, permissions, process management and systemd, on the distributions actually running in production (Amazon Linux, Ubuntu).
2. Bash Scripting for Automation	Writing scripts that provision, deploy and clean up infrastructure reliably, with proper error handling instead of silent failures.
3. Python for Infrastructure Automation	Using Python and boto3 to script AWS operations that the console and CLI alone don't make easy.
4. Cron, Logs & System Troubleshooting	Reading system and application logs under pressure, and scheduling recurring maintenance jobs correctly.
4.1) Why this module exists	Every DevOps tool in this course — Terraform, Kubernetes, CI/CD — assumes comfort with a Linux shell. Skipping this is why many "DevOps" hires stall in their first month.

3 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

1 Cloud & AWS Fundamentals 1.5 wks ▾

Topic	What You'll Learn
1. AWS Global Infrastructure	Regions, Availability Zones and edge locations, and why placing resources correctly affects both latency and resilience.
2. Compute with EC2	Instance types, AMIs, launch templates, and choosing the right instance family for a workload instead of defaulting to the biggest one.
3. Storage with S3	Buckets, storage classes, lifecycle policies, and versioning, including the access-control mistakes that cause real data exposure incidents.
4. VPC Networking Basics	Subnets, route tables, internet/NAT gateways, and security groups vs. network ACLs — building a network you can actually explain in a diagram.
5. IAM	Users, Groups, Roles and Policies — Least-privilege access design, and why "just attach AdministratorAccess" is the single most common AWS security finding.
5.1) Real-world starting point	Most beginners are handed an existing AWS account, not a blank one. Reading and auditing what's already there is as important as building from scratch.

Topic	What You'll Learn
1. AWS Global Infrastructure	Regions, Availability Zones and edge locations, and why placing resources correctly affects both latency and resilience.
2. Compute with EC2	Instance types, AMIs, launch templates, and choosing the right instance family for a workload instead of defaulting to the biggest one.
3. Storage with S3	Buckets, storage classes, lifecycle policies, and versioning, including the access-control mistakes that cause real data exposure incidents.
4. VPC Networking Basics	Subnets, route tables, internet/NAT gateways, and security groups vs. network ACLs — building a network you can actually explain in a diagram.
5. IAM	Users, Groups, Roles and Policies — Least-privilege access design, and why "just attach AdministratorAccess" is the single most common AWS security finding.
5.1) Real-world starting point	Most beginners are handed an existing AWS account, not a blank one. Reading and auditing what's already there is as important as building from scratch.

2 Linux & Scripting for DevOps 1 wk ▾

Topic	What You'll Learn
1. Linux Administration Essentials	File systems, permissions, process management and systemd, on the distributions actually running in production (Amazon Linux, Ubuntu).
2. Bash Scripting for Automation	Writing scripts that provision, deploy and clean up infrastructure reliably, with proper error handling instead of silent failures.
3. Python for Infrastructure Automation	Using Python and boto3 to script AWS operations that the console and CLI alone don't make easy.
4. Cron, Logs & System Troubleshooting	Reading system and application logs under pressure, and scheduling recurring maintenance jobs correctly.
4.1) Why this module exists	Every DevOps tool in this course — Terraform, Kubernetes, CI/CD — assumes comfort with a Linux shell. Skipping this is why many "DevOps" hires stall in their first month.

3 Infrastructure as Code with Terraform & CloudFormation 2 wks ▾

Topic	What You'll Learn
1. Terraform Fundamentals	Providers, resources, variables and outputs, and why infrastructure defined in code beats console clicking for anything real.
2. Writing Reusable Terraform Modules	Structuring a module so a teammate can consume it without reading its internals first.
3. Terraform State Management	Remote state in S3 with DynamoDB locking, state drift, and recovering safely when state and reality disagree.
4. AWS CloudFormation Basics	Stacks, templates and change sets, and when a team chooses CloudFormation over Terraform (or has to live with both).
5. IaC Best Practices & Code Review	Plan-before-apply discipline, environment separation, and reviewing a Terraform diff the way you'd review application code.
5.1) Why this module exists	"I can write a Terraform file" and "I can be trusted to run terraform apply against production" are different skills — this module teaches the second one.

Topic	What You'll Learn
1. Terraform Fundamentals	Providers, resources, variables and outputs, and why infrastructure defined in code beats console clicking for anything real.
2. Writing Reusable Terraform Modules	Structuring a module so a teammate can consume it without reading its internals first.
3. Terraform State Management	Remote state in S3 with DynamoDB locking, state drift, and recovering safely when state and reality disagree.
4. AWS CloudFormation Basics	Stacks, templates and change sets, and when a team chooses CloudFormation over Terraform (or has to live with both).
5. IaC Best Practices & Code Review	Plan-before-apply discipline, environment separation, and reviewing a Terraform diff the way you'd review application code.
5.1) Why this module exists	"I can write a Terraform file" and "I can be trusted to run terraform apply against production" are different skills — this module teaches the second one.

4 CI/CD Pipelines 0.5 wk ▾

Topic	What You'll Learn
1. CI/CD Concepts & Pipeline Design	Build, test and deploy stages, and designing a pipeline that fails fast instead of failing in production.
2. Jenkins Pipelines	Declarative pipelines, Jenkinsfiles, and integrating Jenkins with AWS deployment targets.
3. GitHub Actions	Workflows, reusable actions and secrets management for a fully cloud-native CI/CD setup.
4. AWS CodePipeline & CodeBuild	Building an AWS-native pipeline end to end, from a Git push to a deployed artifact.
5. Deployment Strategies	Blue-green and canary deployments, and rolling back safely when a bad deploy is already live.

5 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

1 Cloud & AWS Fundamentals 1.5 wks ▾

Topic	What You'll Learn
1. AWS Global Infrastructure	Regions, Availability Zones and edge locations, and why placing resources correctly affects both latency and resilience.
2. Compute with EC2	Instance types, AMIs, launch templates, and choosing the right instance family for a workload instead of defaulting to the biggest one.
3. Storage with S3	Buckets, storage classes, lifecycle policies, and versioning, including the access-control mistakes that cause real data exposure incidents.
4. VPC Networking Basics	Subnets, route tables, internet/NAT gateways, and security groups vs. network ACLs — building a network you can actually explain in a diagram.
5. IAM	Users, Groups, Roles and Policies — Least-privilege access design, and why "just attach AdministratorAccess" is the single most common AWS security finding.
5.1) Real-world starting point	Most beginners are handed an existing AWS account, not a blank one. Reading and auditing what's already there is as important as building from scratch.

Topic	What You'll Learn
1. AWS Global Infrastructure	Regions, Availability Zones and edge locations, and why placing resources correctly affects both latency and resilience.
2. Compute with EC2	Instance types, AMIs, launch templates, and choosing the right instance family for a workload instead of defaulting to the biggest one.
3. Storage with S3	Buckets, storage classes, lifecycle policies, and versioning, including the access-control mistakes that cause real data exposure incidents.
4. VPC Networking Basics	Subnets, route tables, internet/NAT gateways, and security groups vs. network ACLs — building a network you can actually explain in a diagram.
5. IAM	Users, Groups, Roles and Policies — Least-privilege access design, and why "just attach AdministratorAccess" is the single most common AWS security finding.
5.1) Real-world starting point	Most beginners are handed an existing AWS account, not a blank one. Reading and auditing what's already there is as important as building from scratch.

2 Infrastructure as Code with Terraform & CloudFormation 2 wks ▾

Topic	What You'll Learn
1. Terraform Fundamentals	Providers, resources, variables and outputs, and why infrastructure defined in code beats console clicking for anything real.
2. Writing Reusable Terraform Modules	Structuring a module so a teammate can consume it without reading its internals first.
3. Terraform State Management	Remote state in S3 with DynamoDB locking, state drift, and recovering safely when state and reality disagree.
4. AWS CloudFormation Basics	Stacks, templates and change sets, and when a team chooses CloudFormation over Terraform (or has to live with both).
5. IaC Best Practices & Code Review	Plan-before-apply discipline, environment separation, and reviewing a Terraform diff the way you'd review application code.
5.1) Why this module exists	"I can write a Terraform file" and "I can be trusted to run terraform apply against production" are different skills — this module teaches the second one.

Topic	What You'll Learn
1. Terraform Fundamentals	Providers, resources, variables and outputs, and why infrastructure defined in code beats console clicking for anything real.
2. Writing Reusable Terraform Modules	Structuring a module so a teammate can consume it without reading its internals first.
3. Terraform State Management	Remote state in S3 with DynamoDB locking, state drift, and recovering safely when state and reality disagree.
4. AWS CloudFormation Basics	Stacks, templates and change sets, and when a team chooses CloudFormation over Terraform (or has to live with both).
5. IaC Best Practices & Code Review	Plan-before-apply discipline, environment separation, and reviewing a Terraform diff the way you'd review application code.
5.1) Why this module exists	"I can write a Terraform file" and "I can be trusted to run terraform apply against production" are different skills — this module teaches the second one.

3 Containers & Kubernetes on AWS 2 wks ▾

Topic	What You'll Learn
1. Docker Fundamentals	Images, containers, volumes and networking, and the mental model shift from "a server" to "a portable, disposable process."
2. Writing Production-Grade Dockerfiles	Multi-stage builds, image size and layer caching, and the security basics of not running containers as root.
3. Kubernetes Core Concepts	Pods, Deployments, Services and ConfigMaps/Secrets, and how Kubernetes decides what "healthy" means for your app.
4. Running Workloads on Amazon EKS	Cluster setup, node groups, IAM for service accounts (IRSA), and the AWS-specific parts that differ from a local Kubernetes cluster.
5. Scaling & Rolling Updates	Horizontal Pod Autoscaling and zero-downtime deployments, and diagnosing a pod stuck in CrashLoopBackOff.
5.1) Real-world starting point	Most teams don't hand-write Kubernetes manifests from scratch; they inherit a cluster and a Helm chart. Reading and safely modifying an existing setup is the actual day-one task.

Topic	What You'll Learn
1. Docker Fundamentals	Images, containers, volumes and networking, and the mental model shift from "a server" to "a portable, disposable process."
2. Writing Production-Grade Dockerfiles	Multi-stage builds, image size and layer caching, and the security basics of not running containers as root.
3. Kubernetes Core Concepts	Pods, Deployments, Services and ConfigMaps/Secrets, and how Kubernetes decides what "healthy" means for your app.
4. Running Workloads on Amazon EKS	Cluster setup, node groups, IAM for service accounts (IRSA), and the AWS-specific parts that differ from a local Kubernetes cluster.
5. Scaling & Rolling Updates	Horizontal Pod Autoscaling and zero-downtime deployments, and diagnosing a pod stuck in CrashLoopBackOff.
5.1) Real-world starting point	Most teams don't hand-write Kubernetes manifests from scratch; they inherit a cluster and a Helm chart. Reading and safely modifying an existing setup is the actual day-one task.

4 CI/CD Pipelines 1.5 wks ▾

Topic	What You'll Learn
1. CI/CD Concepts & Pipeline Design	Build, test and deploy stages, and designing a pipeline that fails fast instead of failing in production.
2. Jenkins Pipelines	Declarative pipelines, Jenkinsfiles, and integrating Jenkins with AWS deployment targets.
3. GitHub Actions	Workflows, reusable actions and secrets management for a fully cloud-native CI/CD setup.
4. AWS CodePipeline & CodeBuild	Building an AWS-native pipeline end to end, from a Git push to a deployed artifact.
5. Deployment Strategies	Blue-green and canary deployments, and rolling back safely when a bad deploy is already live.

5 Configuration Management & Monitoring 0.5 wk ▾

Topic	What You'll Learn
1. Ansible Basics	Playbooks, inventories and idempotent configuration management for servers that Terraform doesn't fully manage.
2. Amazon CloudWatch	Metrics, alarms, dashboards and log groups, and setting an alarm that actually pages someone before customers notice.
3. Prometheus & Grafana	Scraping metrics from infrastructure and applications, and building a dashboard someone other than you can read at 3 a.m.
4. Centralized Logging	Aggregating logs across services with CloudWatch Logs and the ELK/OpenSearch stack, and searching them fast during an incident.
4.1) Why this module exists	Monitoring bolted on after launch is why most outages are discovered by a customer, not a dashboard. This module treats observability as part of the build, not an afterthought.

6 Comprehensive Interview Preparation & Career Launch 0.5 wk ▾

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

1 Advanced AWS Services 1.5 wks ▾

Topic	What You'll Learn
1. AWS Lambda & Serverless Architecture	Event-driven functions, cold starts, and when serverless genuinely beats running a server.
2. RDS & DynamoDB	Managed relational databases vs. a managed NoSQL store, and choosing correctly based on access patterns, not familiarity.
3. API Gateway	Fronting Lambda and backend services with a managed API layer, including throttling and request validation.
4. AWS Security Services	WAF, GuardDuty and Security Hub — Automated threat detection and web application protection, and what an actual finding in GuardDuty looks like.
4.1) Real-world starting point	Advanced AWS services are usually introduced to fix a specific pain point (a scaling database, an unprotected API) rather than learned all at once — this module is taught the same way.

2 Configuration Management & Monitoring 1 wk ▾

Topic	What You'll Learn
1. Ansible Basics	Playbooks, inventories and idempotent configuration management for servers that Terraform doesn't fully manage.
2. Amazon CloudWatch	Metrics, alarms, dashboards and log groups, and setting an alarm that actually pages someone before customers notice.
3. Prometheus & Grafana	Scraping metrics from infrastructure and applications, and building a dashboard someone other than you can read at 3 a.m.
4. Centralized Logging	Aggregating logs across services with CloudWatch Logs and the ELK/OpenSearch stack, and searching them fast during an incident.
4.1) Why this module exists	Monitoring bolted on after launch is why most outages are discovered by a customer, not a dashboard. This module treats observability as part of the build, not an afterthought.

3 AI-Augmented DevOps (AIOps) 1.5 wks ▾

Topic	What You'll Learn
1. AI Coding Assistants for Infrastructure Code	Using AI tools to draft Terraform modules and CI/CD pipeline configs faster, then reading every line before it ships.
2. AI-Assisted Code Review for IaC	Catching an over-permissive IAM policy or a missing state lock an AI assistant suggested, not just accepting its output.
3. AI-Based Anomaly Detection & Log Analysis	Using AI-driven tools to surface the one unusual log line in a million routine ones.
4. ChatOps-Style Incident Triage Assistants	Wiring an AI assistant into Slack/Teams to summarize an incident's timeline and suggest a first diagnosis while a human stays in control.
4.1) Where AI gets it wrong	An AI assistant will confidently propose a Terraform change that provisions the wrong resource, widens a security group, or misreads a metric spike as normal. Verifying every AI-generated infrastructure change before applying it — plan, diff, review — is the discipline this module is built around, the same standard taught across every Fourcup AI-augmented module.

Topic	What You'll Learn
1. AI Coding Assistants for Infrastructure Code	Using AI tools to draft Terraform modules and CI/CD pipeline configs faster, then reading every line before it ships.
2. AI-Assisted Code Review for IaC	Catching an over-permissive IAM policy or a missing state lock an AI assistant suggested, not just accepting its output.
3. AI-Based Anomaly Detection & Log Analysis	Using AI-driven tools to surface the one unusual log line in a million routine ones.
4. ChatOps-Style Incident Triage Assistants	Wiring an AI assistant into Slack/Teams to summarize an incident's timeline and suggest a first diagnosis while a human stays in control.
4.1) Where AI gets it wrong	An AI assistant will confidently propose a Terraform change that provisions the wrong resource, widens a security group, or misreads a metric spike as normal. Verifying every AI-generated infrastructure change before applying it — plan, diff, review — is the discipline this module is built around, the same standard taught across every Fourcup AI-augmented module.

4 Site Reliability Engineering & Cost Optimization 1 wk ▾

Topic	What You'll Learn
1. SLIs, SLOs & Error Budgets	Defining reliability in numbers a business can actually make decisions from, instead of a vague "the site was down."
2. Incident Response Basics	On-call fundamentals, severity levels, and writing a blameless postmortem that actually prevents a repeat.
3. AWS Cost Optimization Fundamentals	Right-sizing instances, Savings Plans/Reserved Instances, and finding the orphaned resources quietly costing money.
4. FinOps Fundamentals	Tagging for cost allocation, showback/chargeback basics, and being the engineer who can explain a cloud bill to a finance team.
4.1) Why this module exists	"Keep it running" and "keep it running affordably" are both now part of the DevOps job description — teams increasingly expect the same engineer to own both.

5 Comprehensive Interview Preparation & Career Launch 0.5 wk ▾

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

1 Cloud & AWS Fundamentals 1.5 wks ▾

Topic	What You'll Learn
1. AWS Global Infrastructure	Regions, Availability Zones and edge locations, and why placing resources correctly affects both latency and resilience.
2. Compute with EC2	Instance types, AMIs, launch templates, and choosing the right instance family for a workload instead of defaulting to the biggest one.
3. Storage with S3	Buckets, storage classes, lifecycle policies, and versioning, including the access-control mistakes that cause real data exposure incidents.
4. VPC Networking Basics	Subnets, route tables, internet/NAT gateways, and security groups vs. network ACLs — building a network you can actually explain in a diagram.
5. IAM	Users, Groups, Roles and Policies — Least-privilege access design, and why "just attach AdministratorAccess" is the single most common AWS security finding.
5.1) Real-world starting point	Most beginners are handed an existing AWS account, not a blank one. Reading and auditing what's already there is as important as building from scratch.

Topic	What You'll Learn
1. AWS Global Infrastructure	Regions, Availability Zones and edge locations, and why placing resources correctly affects both latency and resilience.
2. Compute with EC2	Instance types, AMIs, launch templates, and choosing the right instance family for a workload instead of defaulting to the biggest one.
3. Storage with S3	Buckets, storage classes, lifecycle policies, and versioning, including the access-control mistakes that cause real data exposure incidents.
4. VPC Networking Basics	Subnets, route tables, internet/NAT gateways, and security groups vs. network ACLs — building a network you can actually explain in a diagram.
5. IAM	Users, Groups, Roles and Policies — Least-privilege access design, and why "just attach AdministratorAccess" is the single most common AWS security finding.
5.1) Real-world starting point	Most beginners are handed an existing AWS account, not a blank one. Reading and auditing what's already there is as important as building from scratch.

2 Linux & Scripting for DevOps 1 wk ▾

Topic	What You'll Learn
1. Linux Administration Essentials	File systems, permissions, process management and systemd, on the distributions actually running in production (Amazon Linux, Ubuntu).
2. Bash Scripting for Automation	Writing scripts that provision, deploy and clean up infrastructure reliably, with proper error handling instead of silent failures.
3. Python for Infrastructure Automation	Using Python and boto3 to script AWS operations that the console and CLI alone don't make easy.
4. Cron, Logs & System Troubleshooting	Reading system and application logs under pressure, and scheduling recurring maintenance jobs correctly.
4.1) Why this module exists	Every DevOps tool in this course — Terraform, Kubernetes, CI/CD — assumes comfort with a Linux shell. Skipping this is why many "DevOps" hires stall in their first month.

3 Infrastructure as Code with Terraform & CloudFormation 2 wks ▾

Topic	What You'll Learn
1. Terraform Fundamentals	Providers, resources, variables and outputs, and why infrastructure defined in code beats console clicking for anything real.
2. Writing Reusable Terraform Modules	Structuring a module so a teammate can consume it without reading its internals first.
3. Terraform State Management	Remote state in S3 with DynamoDB locking, state drift, and recovering safely when state and reality disagree.
4. AWS CloudFormation Basics	Stacks, templates and change sets, and when a team chooses CloudFormation over Terraform (or has to live with both).
5. IaC Best Practices & Code Review	Plan-before-apply discipline, environment separation, and reviewing a Terraform diff the way you'd review application code.
5.1) Why this module exists	"I can write a Terraform file" and "I can be trusted to run terraform apply against production" are different skills — this module teaches the second one.

Topic	What You'll Learn
1. Terraform Fundamentals	Providers, resources, variables and outputs, and why infrastructure defined in code beats console clicking for anything real.
2. Writing Reusable Terraform Modules	Structuring a module so a teammate can consume it without reading its internals first.
3. Terraform State Management	Remote state in S3 with DynamoDB locking, state drift, and recovering safely when state and reality disagree.
4. AWS CloudFormation Basics	Stacks, templates and change sets, and when a team chooses CloudFormation over Terraform (or has to live with both).
5. IaC Best Practices & Code Review	Plan-before-apply discipline, environment separation, and reviewing a Terraform diff the way you'd review application code.
5.1) Why this module exists	"I can write a Terraform file" and "I can be trusted to run terraform apply against production" are different skills — this module teaches the second one.

4 Containers & Kubernetes on AWS 2 wks ▾

Topic	What You'll Learn
1. Docker Fundamentals	Images, containers, volumes and networking, and the mental model shift from "a server" to "a portable, disposable process."
2. Writing Production-Grade Dockerfiles	Multi-stage builds, image size and layer caching, and the security basics of not running containers as root.
3. Kubernetes Core Concepts	Pods, Deployments, Services and ConfigMaps/Secrets, and how Kubernetes decides what "healthy" means for your app.
4. Running Workloads on Amazon EKS	Cluster setup, node groups, IAM for service accounts (IRSA), and the AWS-specific parts that differ from a local Kubernetes cluster.
5. Scaling & Rolling Updates	Horizontal Pod Autoscaling and zero-downtime deployments, and diagnosing a pod stuck in CrashLoopBackOff.
5.1) Real-world starting point	Most teams don't hand-write Kubernetes manifests from scratch; they inherit a cluster and a Helm chart. Reading and safely modifying an existing setup is the actual day-one task.

Topic	What You'll Learn
1. Docker Fundamentals	Images, containers, volumes and networking, and the mental model shift from "a server" to "a portable, disposable process."
2. Writing Production-Grade Dockerfiles	Multi-stage builds, image size and layer caching, and the security basics of not running containers as root.
3. Kubernetes Core Concepts	Pods, Deployments, Services and ConfigMaps/Secrets, and how Kubernetes decides what "healthy" means for your app.
4. Running Workloads on Amazon EKS	Cluster setup, node groups, IAM for service accounts (IRSA), and the AWS-specific parts that differ from a local Kubernetes cluster.
5. Scaling & Rolling Updates	Horizontal Pod Autoscaling and zero-downtime deployments, and diagnosing a pod stuck in CrashLoopBackOff.
5.1) Real-world starting point	Most teams don't hand-write Kubernetes manifests from scratch; they inherit a cluster and a Helm chart. Reading and safely modifying an existing setup is the actual day-one task.

5 CI/CD Pipelines 1.5 wks ▾

Topic	What You'll Learn
1. CI/CD Concepts & Pipeline Design	Build, test and deploy stages, and designing a pipeline that fails fast instead of failing in production.
2. Jenkins Pipelines	Declarative pipelines, Jenkinsfiles, and integrating Jenkins with AWS deployment targets.
3. GitHub Actions	Workflows, reusable actions and secrets management for a fully cloud-native CI/CD setup.
4. AWS CodePipeline & CodeBuild	Building an AWS-native pipeline end to end, from a Git push to a deployed artifact.
5. Deployment Strategies	Blue-green and canary deployments, and rolling back safely when a bad deploy is already live.

6 Configuration Management & Monitoring 1 wk ▾

Topic	What You'll Learn
1. Ansible Basics	Playbooks, inventories and idempotent configuration management for servers that Terraform doesn't fully manage.
2. Amazon CloudWatch	Metrics, alarms, dashboards and log groups, and setting an alarm that actually pages someone before customers notice.
3. Prometheus & Grafana	Scraping metrics from infrastructure and applications, and building a dashboard someone other than you can read at 3 a.m.
4. Centralized Logging	Aggregating logs across services with CloudWatch Logs and the ELK/OpenSearch stack, and searching them fast during an incident.
4.1) Why this module exists	Monitoring bolted on after launch is why most outages are discovered by a customer, not a dashboard. This module treats observability as part of the build, not an afterthought.

7 Advanced AWS Services 1.5 wks ▾

Topic	What You'll Learn
1. AWS Lambda & Serverless Architecture	Event-driven functions, cold starts, and when serverless genuinely beats running a server.
2. RDS & DynamoDB	Managed relational databases vs. a managed NoSQL store, and choosing correctly based on access patterns, not familiarity.
3. API Gateway	Fronting Lambda and backend services with a managed API layer, including throttling and request validation.
4. AWS Security Services	WAF, GuardDuty and Security Hub — Automated threat detection and web application protection, and what an actual finding in GuardDuty looks like.
4.1) Real-world starting point	Advanced AWS services are usually introduced to fix a specific pain point (a scaling database, an unprotected API) rather than learned all at once — this module is taught the same way.

8 AI-Augmented DevOps (AIOps) 1.5 wks ▾

Topic	What You'll Learn
1. AI Coding Assistants for Infrastructure Code	Using AI tools to draft Terraform modules and CI/CD pipeline configs faster, then reading every line before it ships.
2. AI-Assisted Code Review for IaC	Catching an over-permissive IAM policy or a missing state lock an AI assistant suggested, not just accepting its output.
3. AI-Based Anomaly Detection & Log Analysis	Using AI-driven tools to surface the one unusual log line in a million routine ones.
4. ChatOps-Style Incident Triage Assistants	Wiring an AI assistant into Slack/Teams to summarize an incident's timeline and suggest a first diagnosis while a human stays in control.
4.1) Where AI gets it wrong	An AI assistant will confidently propose a Terraform change that provisions the wrong resource, widens a security group, or misreads a metric spike as normal. Verifying every AI-generated infrastructure change before applying it — plan, diff, review — is the discipline this module is built around, the same standard taught across every Fourcup AI-augmented module.

Topic	What You'll Learn
1. AI Coding Assistants for Infrastructure Code	Using AI tools to draft Terraform modules and CI/CD pipeline configs faster, then reading every line before it ships.
2. AI-Assisted Code Review for IaC	Catching an over-permissive IAM policy or a missing state lock an AI assistant suggested, not just accepting its output.
3. AI-Based Anomaly Detection & Log Analysis	Using AI-driven tools to surface the one unusual log line in a million routine ones.
4. ChatOps-Style Incident Triage Assistants	Wiring an AI assistant into Slack/Teams to summarize an incident's timeline and suggest a first diagnosis while a human stays in control.
4.1) Where AI gets it wrong	An AI assistant will confidently propose a Terraform change that provisions the wrong resource, widens a security group, or misreads a metric spike as normal. Verifying every AI-generated infrastructure change before applying it — plan, diff, review — is the discipline this module is built around, the same standard taught across every Fourcup AI-augmented module.

9 Site Reliability Engineering & Cost Optimization 1 wk ▾

Topic	What You'll Learn
1. SLIs, SLOs & Error Budgets	Defining reliability in numbers a business can actually make decisions from, instead of a vague "the site was down."
2. Incident Response Basics	On-call fundamentals, severity levels, and writing a blameless postmortem that actually prevents a repeat.
3. AWS Cost Optimization Fundamentals	Right-sizing instances, Savings Plans/Reserved Instances, and finding the orphaned resources quietly costing money.
4. FinOps Fundamentals	Tagging for cost allocation, showback/chargeback basics, and being the engineer who can explain a cloud bill to a finance team.
4.1) Why this module exists	"Keep it running" and "keep it running affordably" are both now part of the DevOps job description — teams increasingly expect the same engineer to own both.

10 AWS Certification Prep 1 wk ▾

Topic	What You'll Learn
1. AWS Certified Solutions Architect – Associate	Focused review mapped directly to the exam's domains: design resilient, high-performing, secure and cost-optimized architectures.
2. AWS Certified DevOps Engineer – Professional	Exam-objective review covering CI/CD automation, monitoring, incident response and governance at the professional level.
3. Hands-On Labs Mapped to Exam Domains	Practising the exact scenario types both exams test, not just memorizing service names.
4. Exam Strategy & Practice Tests	Timed practice exams and question-pattern recognition to walk in prepared, not guessing.
4.1) Real-world starting point	Certification isn't the end goal — it's a structured forcing function to close gaps in exactly the services and patterns this course has already covered.

11 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. AWS/DevOps/SRE Interview Question Bank	Real questions on IaC, Kubernetes, CI/CD, monitoring and incident response, reviewed and explained.
2. Resume & LinkedIn Building for Cloud & DevOps Roles	Framing infrastructure and automation projects the way a hiring manager actually scans a resume.
3. Live Mock Interviews with Feedback	Recorded, one-on-one mock interviews with a working cloud/DevOps engineer, with specific, actionable feedback.
4. Whiteboard-Style "Design a CI/CD Pipeline for This Scenario" Rounds	Practising the system-level question that trips up otherwise-strong candidates.
5. Salary Negotiation & Offer Evaluation	Reading an offer letter and negotiating from an informed position.
6. Placement Assistance	Referrals and interview opportunities where available, resume review, and continued mentor access after the course ends. Placement assistance is support, not a guarantee of a job or a specific salary — see full terms.
7. 🚀 Final Mock Interview	A full-length, role-realistic Cloud & DevOps Engineer interview, end to end.

The curriculum for this package has not been added yet.

WHAT YOU GET

This Course Includes

💻

Online

🎯

14 Weeks Duration (Flexible)

🖥

5 Real Industry Projects

🏆

Certificate on Completion

♾️

Lifetime Access to Recordings

💼

Job References to 50+ Companies

🎯

5 Mock Interview Rounds

🗣

Soft Skills & Communication

📱

WhatsApp Batch Support

📥

Brochure & Syllabus Download

🛠 Tools Covered:

AWS EC2S3VPCIAMLambdaRDSDynamoDBAPI GatewayWAFGuardDutySecurity HubTerraformAWS CloudFormationDockerKubernetes (EKS)JenkinsGitHub ActionsAWS CodePipeline/CodeBuildAnsibleCloudWatchPrometheusGrafanaLinuxBashPython (boto3)AI-assisted IaC & AIOps toolsGit & GitHubJIRA

⬇️ Download Syllabus 💬 Enquire About This Course

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YOUR MENTOR

Who teaches this course

Sessions are taught by someone who does this work, not by a full-time trainer reading slides.

👨‍🏫

Fourcup Cloud & DevOps Faculty

Real Industry Trainers, Not Just Instructors

Every Fourcup trainer has a minimum of 9+ years of total IT industry experience and 5+ years of specific, hands-on experience in the exact tool or domain they teach. They are currently working professionals — the frameworks, edge cases and interview questions taught are what's actually used in live projects today. Mock-interview mentors are the same trainers who conduct real technical interviews at their day jobs.

9+ years experience Active practitioner

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BATCHES

When you can start

Weekday, weekend and fast-track options. Seats are limited so sessions stay small enough to ask questions in.

Batch dates for this course have not been added yet.

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FAQ

Questions people actually ask

If yours is not here, call us — a working engineer will answer, not a call centre.

No questions have been added for this course yet.

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