Course

Microsoft Azure Cloud & DevOps Engineering with AI

A complete Azure Cloud & DevOps program covering core Azure services and Microsoft Entra ID identity, Linux/PowerShell/Azure CLI scripting, Infrastructure as Code with Terraform and Bicep/ARM, containers and Kubernetes on AKS, CI/CD with Azure DevOps Pipelines and GitHub Actions, configuration management and monitoring with Azure Monitor and Application Insights, advanced Azure services (Functions, Cosmos DB, API Management, Key Vault), AI-augmented DevOps (AIOps) using GitHub Copilot and Azure AI tooling with a verification-first discipline, Site Reliability Engineering and Azure cost/FinOps fundamentals, and focused AZ-104/AZ-400 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

No prior cloud needed

⏱ 4.5 Weeks

★ 4.7/5

Azure Cloud Foundations

Core Azure services, identity with Microsoft Entra ID, and scripting basics — no prior cloud experience needed.

Cloud & Azure Fundamentals
Linux, PowerShell & Scripting for DevOps
Comprehensive Interview Prep & Career Launch

Azure Portal, Azure CLI, PowerShell

View Curriculum →

Most enrolled

⏱ 6 Weeks

★ 4.8/5

Infrastructure as Code Specialist

Terraform and Bicep/ARM, the two IaC stacks Azure interviews expect a candidate to know.

Azure Fundamentals Recap
Linux, PowerShell & Scripting
Infrastructure as Code with Terraform & Bicep/ARM
CI/CD with Azure DevOps & GitHub Actions
Comprehensive Interview Prep & Career Launch

Terraform, Bicep, ARM Templates, Azure Pipelines

View Curriculum →

Platform engineering track

⏱ 8 Weeks

★ 4.8/5

Azure DevOps Core

IaC, containers on AKS and CI/CD pipelines end to end — the full platform-engineering path.

Azure Fundamentals Recap
Infrastructure as Code with Terraform & Bicep/ARM
Containers & Kubernetes on Azure
CI/CD with Azure DevOps & GitHub Actions
Configuration Management & Monitoring
Comprehensive Interview Prep & Career Launch

Azure VMs/VNet/Entra ID, Terraform, Bicep, Docker, AKS, Azure Pipelines

View Curriculum →

AI-specialized

⏱ 5.5 Weeks

★ 4.9/5

AI-Augmented Azure & AIOps

Advanced Azure services plus AI-assisted IaC, pipeline authoring and anomaly detection — with the verification discipline that goes with it.

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

Azure Functions, Azure Monitor, Application Insights, Azure Cost Management, AI-assisted IaC tools

View Curriculum →

Flagship

⏱ 14.5 Weeks

★ 4.9/5

Complete Azure Cloud & DevOps Flagship Program

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

All 11 modules, start to finish
Terraform + Bicep/ARM, AKS, Azure DevOps & GitHub Actions
AI-Augmented DevOps (AIOps) & SRE/FinOps
AZ-104 & AZ-400 certification prep
Comprehensive Interview Prep & Career Launch

Azure VMs/VNet/Entra ID, Terraform, Bicep, Docker, AKS, Azure Pipelines, Ansible, Azure Monitor, GitHub Copilot, Azure Cost Management

View Curriculum →

Customized

⏱ Custom

★ 4.8/5

Build Your Own (Customized)

Pick exactly the modules you need from the full Azure 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

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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

No prior cloud needed

Azure Cloud Foundations

⏱ 4.5 Weeks ★ 4.7

3 modules

Most enrolled

Infrastructure as Code Specialist

⏱ 6 Weeks ★ 4.8

5 modules

Platform engineering track

Azure DevOps Core

⏱ 8 Weeks ★ 4.8

6 modules

AI-specialized

AI-Augmented Azure & AIOps

⏱ 5.5 Weeks ★ 4.9

5 modules

Flagship

Complete Azure Cloud & DevOps Flagship Program

⏱ 14.5 Weeks ★ 4.9

11 modules

Customized

Build Your Own (Customized)

⏱ Custom ★ 4.8

0 modules

1 Cloud & Azure Fundamentals 2 wks ▾

Topic	What You'll Learn
1. Core Cloud Concepts	IaaS/PaaS/SaaS, regions & availability zones, and how Azure's shared-responsibility model changes what you're actually accountable for.
2. Azure Virtual Machines	Provisioning, sizing, availability sets and scale sets for workloads that still need a full OS.
3. Azure Blob Storage	Storage tiers (hot/cool/archive), access policies, and lifecycle management for cost control.
4. Virtual Networks	Subnets, NSGs, VNet peering and the basics of routing traffic securely between resources.
5. Microsoft Entra ID	Identity and access management: users, groups, role-based access control (RBAC), and why every 2026 Azure job description asks for Entra ID by name, not "Azure AD."
6. Resource Groups & Subscriptions	Organizing resources for billing, governance and blast-radius control across an enterprise tenant.

Topic	What You'll Learn
1. Core Cloud Concepts	IaaS/PaaS/SaaS, regions & availability zones, and how Azure's shared-responsibility model changes what you're actually accountable for.
2. Azure Virtual Machines	Provisioning, sizing, availability sets and scale sets for workloads that still need a full OS.
3. Azure Blob Storage	Storage tiers (hot/cool/archive), access policies, and lifecycle management for cost control.
4. Virtual Networks	Subnets, NSGs, VNet peering and the basics of routing traffic securely between resources.
5. Microsoft Entra ID	Identity and access management: users, groups, role-based access control (RBAC), and why every 2026 Azure job description asks for Entra ID by name, not "Azure AD."
6. Resource Groups & Subscriptions	Organizing resources for billing, governance and blast-radius control across an enterprise tenant.

2 Linux, PowerShell & Scripting for DevOps 1.5 wks ▾

Topic	What You'll Learn
1. Linux Administration Essentials	File systems, permissions, process management and package managers — the OS every container and most Azure VMs run on.
2. PowerShell Scripting	Cmdlets, pipelines and script modules for automating Windows and cross-platform Azure tasks.
3. Azure CLI	Scripting resource creation and management from the command line, the backbone of most real automation.
4. Python Automation Scripting	Using the Azure SDK for Python to script tasks that CLI/PowerShell alone can't cleanly express.
4.1) Real-world starting point	Most DevOps work is glue: a script that checks a condition and calls an API. Fluency here matters more than memorising every Azure service.

3 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

1 Cloud & Azure Fundamentals 1 wk ▾

Topic	What You'll Learn
1. Core Cloud Concepts	IaaS/PaaS/SaaS, regions & availability zones, and how Azure's shared-responsibility model changes what you're actually accountable for.
2. Azure Virtual Machines	Provisioning, sizing, availability sets and scale sets for workloads that still need a full OS.
3. Azure Blob Storage	Storage tiers (hot/cool/archive), access policies, and lifecycle management for cost control.
4. Virtual Networks	Subnets, NSGs, VNet peering and the basics of routing traffic securely between resources.
5. Microsoft Entra ID	Identity and access management: users, groups, role-based access control (RBAC), and why every 2026 Azure job description asks for Entra ID by name, not "Azure AD."
6. Resource Groups & Subscriptions	Organizing resources for billing, governance and blast-radius control across an enterprise tenant.

Topic	What You'll Learn
1. Core Cloud Concepts	IaaS/PaaS/SaaS, regions & availability zones, and how Azure's shared-responsibility model changes what you're actually accountable for.
2. Azure Virtual Machines	Provisioning, sizing, availability sets and scale sets for workloads that still need a full OS.
3. Azure Blob Storage	Storage tiers (hot/cool/archive), access policies, and lifecycle management for cost control.
4. Virtual Networks	Subnets, NSGs, VNet peering and the basics of routing traffic securely between resources.
5. Microsoft Entra ID	Identity and access management: users, groups, role-based access control (RBAC), and why every 2026 Azure job description asks for Entra ID by name, not "Azure AD."
6. Resource Groups & Subscriptions	Organizing resources for billing, governance and blast-radius control across an enterprise tenant.

2 Linux, PowerShell & Scripting for DevOps 1 wk ▾

Topic	What You'll Learn
1. Linux Administration Essentials	File systems, permissions, process management and package managers — the OS every container and most Azure VMs run on.
2. PowerShell Scripting	Cmdlets, pipelines and script modules for automating Windows and cross-platform Azure tasks.
3. Azure CLI	Scripting resource creation and management from the command line, the backbone of most real automation.
4. Python Automation Scripting	Using the Azure SDK for Python to script tasks that CLI/PowerShell alone can't cleanly express.
4.1) Real-world starting point	Most DevOps work is glue: a script that checks a condition and calls an API. Fluency here matters more than memorising every Azure service.

3 Infrastructure as Code with Terraform & Bicep/ARM 2 wks ▾

Topic	What You'll Learn
1. IaC Principles	Why infrastructure lives in version control, and the difference between declarative and imperative provisioning.
2. Terraform Fundamentals	Providers, resources, state files and the plan/apply workflow against an Azure subscription.
3. Writing Reusable Terraform Modules for Azure	Structuring modules so a team reuses a network or AKS pattern instead of copy-pasting HCL.
4. Bicep Templates	Azure's native IaC language: syntax, modules and why Microsoft steers new Azure-only projects toward it.
5. ARM Template Basics	Reading and troubleshooting the underlying JSON that Bicep compiles to, for the legacy templates you'll still meet on the job.
6. IaC Best Practices	Remote state, locking, environment separation and code review for infrastructure changes.
6.1) Why this module exists	Interviews increasingly ask for both stacks: Terraform because it's the multi-cloud industry default, Bicep because it's what Microsoft-first shops standardise on — knowing only one is a visible gap.

Topic	What You'll Learn
1. IaC Principles	Why infrastructure lives in version control, and the difference between declarative and imperative provisioning.
2. Terraform Fundamentals	Providers, resources, state files and the plan/apply workflow against an Azure subscription.
3. Writing Reusable Terraform Modules for Azure	Structuring modules so a team reuses a network or AKS pattern instead of copy-pasting HCL.
4. Bicep Templates	Azure's native IaC language: syntax, modules and why Microsoft steers new Azure-only projects toward it.
5. ARM Template Basics	Reading and troubleshooting the underlying JSON that Bicep compiles to, for the legacy templates you'll still meet on the job.
6. IaC Best Practices	Remote state, locking, environment separation and code review for infrastructure changes.
6.1) Why this module exists	Interviews increasingly ask for both stacks: Terraform because it's the multi-cloud industry default, Bicep because it's what Microsoft-first shops standardise on — knowing only one is a visible gap.

4 CI/CD with Azure DevOps & GitHub Actions 1 wk ▾

Topic	What You'll Learn
1. Azure Pipelines (YAML Pipelines)	Writing a build-test-deploy pipeline as code, with stages, jobs and reusable templates.
2. Azure Repos & Boards	Branch policies, pull request workflows and linking work items to the code that closes them.
3. Release Strategies	Blue-green and canary deployments, and choosing one based on what the application can tolerate going wrong.
4. GitHub Actions for Azure Deployments	Deploying to Azure from GitHub Actions workflows, for teams whose source of truth lives outside Azure DevOps.
4.1) Why this module exists	Most Azure shops run one of these two CI/CD platforms, and increasingly both at once during a migration — a DevOps engineer who only knows one is half-employable in that market.

5 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

1 Cloud & Azure Fundamentals 1 wk ▾

Topic	What You'll Learn
1. Core Cloud Concepts	IaaS/PaaS/SaaS, regions & availability zones, and how Azure's shared-responsibility model changes what you're actually accountable for.
2. Azure Virtual Machines	Provisioning, sizing, availability sets and scale sets for workloads that still need a full OS.
3. Azure Blob Storage	Storage tiers (hot/cool/archive), access policies, and lifecycle management for cost control.
4. Virtual Networks	Subnets, NSGs, VNet peering and the basics of routing traffic securely between resources.
5. Microsoft Entra ID	Identity and access management: users, groups, role-based access control (RBAC), and why every 2026 Azure job description asks for Entra ID by name, not "Azure AD."
6. Resource Groups & Subscriptions	Organizing resources for billing, governance and blast-radius control across an enterprise tenant.

Topic	What You'll Learn
1. Core Cloud Concepts	IaaS/PaaS/SaaS, regions & availability zones, and how Azure's shared-responsibility model changes what you're actually accountable for.
2. Azure Virtual Machines	Provisioning, sizing, availability sets and scale sets for workloads that still need a full OS.
3. Azure Blob Storage	Storage tiers (hot/cool/archive), access policies, and lifecycle management for cost control.
4. Virtual Networks	Subnets, NSGs, VNet peering and the basics of routing traffic securely between resources.
5. Microsoft Entra ID	Identity and access management: users, groups, role-based access control (RBAC), and why every 2026 Azure job description asks for Entra ID by name, not "Azure AD."
6. Resource Groups & Subscriptions	Organizing resources for billing, governance and blast-radius control across an enterprise tenant.

2 Infrastructure as Code with Terraform & Bicep/ARM 2 wks ▾

Topic	What You'll Learn
1. IaC Principles	Why infrastructure lives in version control, and the difference between declarative and imperative provisioning.
2. Terraform Fundamentals	Providers, resources, state files and the plan/apply workflow against an Azure subscription.
3. Writing Reusable Terraform Modules for Azure	Structuring modules so a team reuses a network or AKS pattern instead of copy-pasting HCL.
4. Bicep Templates	Azure's native IaC language: syntax, modules and why Microsoft steers new Azure-only projects toward it.
5. ARM Template Basics	Reading and troubleshooting the underlying JSON that Bicep compiles to, for the legacy templates you'll still meet on the job.
6. IaC Best Practices	Remote state, locking, environment separation and code review for infrastructure changes.
6.1) Why this module exists	Interviews increasingly ask for both stacks: Terraform because it's the multi-cloud industry default, Bicep because it's what Microsoft-first shops standardise on — knowing only one is a visible gap.

Topic	What You'll Learn
1. IaC Principles	Why infrastructure lives in version control, and the difference between declarative and imperative provisioning.
2. Terraform Fundamentals	Providers, resources, state files and the plan/apply workflow against an Azure subscription.
3. Writing Reusable Terraform Modules for Azure	Structuring modules so a team reuses a network or AKS pattern instead of copy-pasting HCL.
4. Bicep Templates	Azure's native IaC language: syntax, modules and why Microsoft steers new Azure-only projects toward it.
5. ARM Template Basics	Reading and troubleshooting the underlying JSON that Bicep compiles to, for the legacy templates you'll still meet on the job.
6. IaC Best Practices	Remote state, locking, environment separation and code review for infrastructure changes.
6.1) Why this module exists	Interviews increasingly ask for both stacks: Terraform because it's the multi-cloud industry default, Bicep because it's what Microsoft-first shops standardise on — knowing only one is a visible gap.

3 Containers & Kubernetes on Azure 2 wks ▾

Topic	What You'll Learn
1. Docker Fundamentals	Images, containers, Dockerfiles and multi-stage builds for a production-sized application.
2. Kubernetes Core Concepts	Pods, deployments, services and namespaces — the vocabulary every AKS job description assumes you already have.
3. Running Workloads on Azure Kubernetes Service (AKS)	Cluster creation, node pools, autoscaling and deploying a real application to AKS.
4. Azure Container Registry	Building, scanning and pushing images into a private registry wired into your AKS cluster.
4.1) Where this shows up in real jobs	Platform engineering roles now expect a candidate to operate an existing AKS cluster on day one, not just explain what Kubernetes is in theory.

4 CI/CD with Azure DevOps & GitHub Actions 1.5 wks ▾

Topic	What You'll Learn
1. Azure Pipelines (YAML Pipelines)	Writing a build-test-deploy pipeline as code, with stages, jobs and reusable templates.
2. Azure Repos & Boards	Branch policies, pull request workflows and linking work items to the code that closes them.
3. Release Strategies	Blue-green and canary deployments, and choosing one based on what the application can tolerate going wrong.
4. GitHub Actions for Azure Deployments	Deploying to Azure from GitHub Actions workflows, for teams whose source of truth lives outside Azure DevOps.
4.1) Why this module exists	Most Azure shops run one of these two CI/CD platforms, and increasingly both at once during a migration — a DevOps engineer who only knows one is half-employable in that market.

5 Configuration Management & Monitoring 0.5 wk ▾

Topic	What You'll Learn
1. Ansible Basics for Azure	Playbooks and inventories for configuring VMs post-provisioning, and how it complements rather than replaces Terraform.
2. Azure Monitor	Metrics, alerts and dashboards for tracking the health of infrastructure and applications in one place.
3. Log Analytics	Writing Kusto Query Language (KQL) queries to find the one log line that explains an incident.
4. Application Insights	Instrumenting an application for distributed tracing, dependency tracking and performance monitoring.
5. Centralized Logging & Alerting	Designing an alerting strategy that pages a human for the right things and stays silent for the rest.

6 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

1 Advanced Azure Services 1.5 wks ▾

Topic	What You'll Learn
1. Azure Functions & Serverless Architecture	Event-driven compute, triggers/bindings, and when serverless beats a always-on VM or container.
2. Azure SQL & Cosmos DB	Managed relational and NoSQL data services, and picking the right one for a workload's consistency and scale needs.
3. API Management	Fronting backend services with throttling, versioning and policy enforcement at the gateway layer.
4. Security Services	Microsoft Defender for Cloud for posture management, and Key Vault for secrets, keys and certificates that should never live in a pipeline variable.

2 Configuration Management & Monitoring 1 wk ▾

Topic	What You'll Learn
1. Ansible Basics for Azure	Playbooks and inventories for configuring VMs post-provisioning, and how it complements rather than replaces Terraform.
2. Azure Monitor	Metrics, alerts and dashboards for tracking the health of infrastructure and applications in one place.
3. Log Analytics	Writing Kusto Query Language (KQL) queries to find the one log line that explains an incident.
4. Application Insights	Instrumenting an application for distributed tracing, dependency tracking and performance monitoring.
5. Centralized Logging & Alerting	Designing an alerting strategy that pages a human for the right things and stays silent for the rest.

3 AI-Augmented DevOps (AIOps) 1.5 wks ▾

Topic	What You'll Learn
1. AI Coding Assistants for Infrastructure Code	Using GitHub Copilot and Azure AI-assisted tooling to draft Terraform/Bicep modules and pipeline YAML faster.
2. AI-Assisted Pipeline Authoring	Generating a first-draft Azure Pipelines/GitHub Actions workflow from a plain-English description, then hardening it.
3. AI-Based Anomaly Detection with Azure Monitor	Using Azure Monitor's built-in anomaly detection to surface incidents before a threshold alert would fire.
4. Verifying AI-Generated Infrastructure Changes	Plan-review discipline: reading every line of an AI-suggested Terraform diff before it touches a subscription, and why "the AI wrote it" is never a valid answer in an incident review.
4.1) Why this module exists	By 2026, AI-assisted authoring is assumed baseline skill in DevOps hiring, not a differentiator — what actually differentiates a hire is whether they can catch what the AI got wrong before it ships.

Topic	What You'll Learn
1. AI Coding Assistants for Infrastructure Code	Using GitHub Copilot and Azure AI-assisted tooling to draft Terraform/Bicep modules and pipeline YAML faster.
2. AI-Assisted Pipeline Authoring	Generating a first-draft Azure Pipelines/GitHub Actions workflow from a plain-English description, then hardening it.
3. AI-Based Anomaly Detection with Azure Monitor	Using Azure Monitor's built-in anomaly detection to surface incidents before a threshold alert would fire.
4. Verifying AI-Generated Infrastructure Changes	Plan-review discipline: reading every line of an AI-suggested Terraform diff before it touches a subscription, and why "the AI wrote it" is never a valid answer in an incident review.
4.1) Why this module exists	By 2026, AI-assisted authoring is assumed baseline skill in DevOps hiring, not a differentiator — what actually differentiates a hire is whether they can catch what the AI got wrong before it ships.

4 Site Reliability Engineering & Cost Optimization 1 wk ▾

Topic	What You'll Learn
1. SLIs, SLOs & Error Budgets	Defining reliability targets that engineering and the business actually agree on, and what an error budget changes about release decisions.
2. Incident Response Basics	On-call rotations, severity levels, and running a blameless postmortem that produces real action items.
3. Azure Cost Management	Reading cost analysis, budgets and cost alerts to catch a runaway resource before the monthly bill does.
4. FinOps Fundamentals	Tagging strategy, reserved instances vs. pay-as-you-go, and rightsizing as an ongoing practice, not a one-time cleanup.

5 Comprehensive Interview Preparation & Career Launch 0.5 wk ▾

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

1 Cloud & Azure Fundamentals 1.5 wks ▾

Topic	What You'll Learn
1. Core Cloud Concepts	IaaS/PaaS/SaaS, regions & availability zones, and how Azure's shared-responsibility model changes what you're actually accountable for.
2. Azure Virtual Machines	Provisioning, sizing, availability sets and scale sets for workloads that still need a full OS.
3. Azure Blob Storage	Storage tiers (hot/cool/archive), access policies, and lifecycle management for cost control.
4. Virtual Networks	Subnets, NSGs, VNet peering and the basics of routing traffic securely between resources.
5. Microsoft Entra ID	Identity and access management: users, groups, role-based access control (RBAC), and why every 2026 Azure job description asks for Entra ID by name, not "Azure AD."
6. Resource Groups & Subscriptions	Organizing resources for billing, governance and blast-radius control across an enterprise tenant.

Topic	What You'll Learn
1. Core Cloud Concepts	IaaS/PaaS/SaaS, regions & availability zones, and how Azure's shared-responsibility model changes what you're actually accountable for.
2. Azure Virtual Machines	Provisioning, sizing, availability sets and scale sets for workloads that still need a full OS.
3. Azure Blob Storage	Storage tiers (hot/cool/archive), access policies, and lifecycle management for cost control.
4. Virtual Networks	Subnets, NSGs, VNet peering and the basics of routing traffic securely between resources.
5. Microsoft Entra ID	Identity and access management: users, groups, role-based access control (RBAC), and why every 2026 Azure job description asks for Entra ID by name, not "Azure AD."
6. Resource Groups & Subscriptions	Organizing resources for billing, governance and blast-radius control across an enterprise tenant.

2 Linux, PowerShell & Scripting for DevOps 1 wk ▾

Topic	What You'll Learn
1. Linux Administration Essentials	File systems, permissions, process management and package managers — the OS every container and most Azure VMs run on.
2. PowerShell Scripting	Cmdlets, pipelines and script modules for automating Windows and cross-platform Azure tasks.
3. Azure CLI	Scripting resource creation and management from the command line, the backbone of most real automation.
4. Python Automation Scripting	Using the Azure SDK for Python to script tasks that CLI/PowerShell alone can't cleanly express.
4.1) Real-world starting point	Most DevOps work is glue: a script that checks a condition and calls an API. Fluency here matters more than memorising every Azure service.

3 Infrastructure as Code with Terraform & Bicep/ARM 2 wks ▾

Topic	What You'll Learn
1. IaC Principles	Why infrastructure lives in version control, and the difference between declarative and imperative provisioning.
2. Terraform Fundamentals	Providers, resources, state files and the plan/apply workflow against an Azure subscription.
3. Writing Reusable Terraform Modules for Azure	Structuring modules so a team reuses a network or AKS pattern instead of copy-pasting HCL.
4. Bicep Templates	Azure's native IaC language: syntax, modules and why Microsoft steers new Azure-only projects toward it.
5. ARM Template Basics	Reading and troubleshooting the underlying JSON that Bicep compiles to, for the legacy templates you'll still meet on the job.
6. IaC Best Practices	Remote state, locking, environment separation and code review for infrastructure changes.
6.1) Why this module exists	Interviews increasingly ask for both stacks: Terraform because it's the multi-cloud industry default, Bicep because it's what Microsoft-first shops standardise on — knowing only one is a visible gap.

Topic	What You'll Learn
1. IaC Principles	Why infrastructure lives in version control, and the difference between declarative and imperative provisioning.
2. Terraform Fundamentals	Providers, resources, state files and the plan/apply workflow against an Azure subscription.
3. Writing Reusable Terraform Modules for Azure	Structuring modules so a team reuses a network or AKS pattern instead of copy-pasting HCL.
4. Bicep Templates	Azure's native IaC language: syntax, modules and why Microsoft steers new Azure-only projects toward it.
5. ARM Template Basics	Reading and troubleshooting the underlying JSON that Bicep compiles to, for the legacy templates you'll still meet on the job.
6. IaC Best Practices	Remote state, locking, environment separation and code review for infrastructure changes.
6.1) Why this module exists	Interviews increasingly ask for both stacks: Terraform because it's the multi-cloud industry default, Bicep because it's what Microsoft-first shops standardise on — knowing only one is a visible gap.

4 Containers & Kubernetes on Azure 2 wks ▾

Topic	What You'll Learn
1. Docker Fundamentals	Images, containers, Dockerfiles and multi-stage builds for a production-sized application.
2. Kubernetes Core Concepts	Pods, deployments, services and namespaces — the vocabulary every AKS job description assumes you already have.
3. Running Workloads on Azure Kubernetes Service (AKS)	Cluster creation, node pools, autoscaling and deploying a real application to AKS.
4. Azure Container Registry	Building, scanning and pushing images into a private registry wired into your AKS cluster.
4.1) Where this shows up in real jobs	Platform engineering roles now expect a candidate to operate an existing AKS cluster on day one, not just explain what Kubernetes is in theory.

5 CI/CD with Azure DevOps & GitHub Actions 1.5 wks ▾

Topic	What You'll Learn
1. Azure Pipelines (YAML Pipelines)	Writing a build-test-deploy pipeline as code, with stages, jobs and reusable templates.
2. Azure Repos & Boards	Branch policies, pull request workflows and linking work items to the code that closes them.
3. Release Strategies	Blue-green and canary deployments, and choosing one based on what the application can tolerate going wrong.
4. GitHub Actions for Azure Deployments	Deploying to Azure from GitHub Actions workflows, for teams whose source of truth lives outside Azure DevOps.
4.1) Why this module exists	Most Azure shops run one of these two CI/CD platforms, and increasingly both at once during a migration — a DevOps engineer who only knows one is half-employable in that market.

6 Configuration Management & Monitoring 1 wk ▾

Topic	What You'll Learn
1. Ansible Basics for Azure	Playbooks and inventories for configuring VMs post-provisioning, and how it complements rather than replaces Terraform.
2. Azure Monitor	Metrics, alerts and dashboards for tracking the health of infrastructure and applications in one place.
3. Log Analytics	Writing Kusto Query Language (KQL) queries to find the one log line that explains an incident.
4. Application Insights	Instrumenting an application for distributed tracing, dependency tracking and performance monitoring.
5. Centralized Logging & Alerting	Designing an alerting strategy that pages a human for the right things and stays silent for the rest.

7 Advanced Azure Services 1.5 wks ▾

Topic	What You'll Learn
1. Azure Functions & Serverless Architecture	Event-driven compute, triggers/bindings, and when serverless beats a always-on VM or container.
2. Azure SQL & Cosmos DB	Managed relational and NoSQL data services, and picking the right one for a workload's consistency and scale needs.
3. API Management	Fronting backend services with throttling, versioning and policy enforcement at the gateway layer.
4. Security Services	Microsoft Defender for Cloud for posture management, and Key Vault for secrets, keys and certificates that should never live in a pipeline variable.

8 AI-Augmented DevOps (AIOps) 1 wk ▾

Topic	What You'll Learn
1. AI Coding Assistants for Infrastructure Code	Using GitHub Copilot and Azure AI-assisted tooling to draft Terraform/Bicep modules and pipeline YAML faster.
2. AI-Assisted Pipeline Authoring	Generating a first-draft Azure Pipelines/GitHub Actions workflow from a plain-English description, then hardening it.
3. AI-Based Anomaly Detection with Azure Monitor	Using Azure Monitor's built-in anomaly detection to surface incidents before a threshold alert would fire.
4. Verifying AI-Generated Infrastructure Changes	Plan-review discipline: reading every line of an AI-suggested Terraform diff before it touches a subscription, and why "the AI wrote it" is never a valid answer in an incident review.
4.1) Why this module exists	By 2026, AI-assisted authoring is assumed baseline skill in DevOps hiring, not a differentiator — what actually differentiates a hire is whether they can catch what the AI got wrong before it ships.

Topic	What You'll Learn
1. AI Coding Assistants for Infrastructure Code	Using GitHub Copilot and Azure AI-assisted tooling to draft Terraform/Bicep modules and pipeline YAML faster.
2. AI-Assisted Pipeline Authoring	Generating a first-draft Azure Pipelines/GitHub Actions workflow from a plain-English description, then hardening it.
3. AI-Based Anomaly Detection with Azure Monitor	Using Azure Monitor's built-in anomaly detection to surface incidents before a threshold alert would fire.
4. Verifying AI-Generated Infrastructure Changes	Plan-review discipline: reading every line of an AI-suggested Terraform diff before it touches a subscription, and why "the AI wrote it" is never a valid answer in an incident review.
4.1) Why this module exists	By 2026, AI-assisted authoring is assumed baseline skill in DevOps hiring, not a differentiator — what actually differentiates a hire is whether they can catch what the AI got wrong before it ships.

9 Site Reliability Engineering & Cost Optimization 1 wk ▾

Topic	What You'll Learn
1. SLIs, SLOs & Error Budgets	Defining reliability targets that engineering and the business actually agree on, and what an error budget changes about release decisions.
2. Incident Response Basics	On-call rotations, severity levels, and running a blameless postmortem that produces real action items.
3. Azure Cost Management	Reading cost analysis, budgets and cost alerts to catch a runaway resource before the monthly bill does.
4. FinOps Fundamentals	Tagging strategy, reserved instances vs. pay-as-you-go, and rightsizing as an ongoing practice, not a one-time cleanup.

10 Azure Certification Prep 1 wk ▾

Topic	What You'll Learn
1. AZ-104 Exam Domains	Focused prep for Microsoft Certified: Azure Administrator Associate, mapped module-by-module to identity, storage, compute and networking objectives.
2. AZ-400 Exam Domains	Focused prep for Microsoft Certified: Azure DevOps Engineer Expert, covering source control, build/release pipelines and dependency management objectives.
3. Hands-On Labs Mapped to Exam Domains	Practising the exact task types (not just multiple-choice recall) each exam actually tests.
4. Mock Exams & Time Management	Full-length practice runs under exam time pressure, with a review of every missed question.

11 Comprehensive Interview Preparation & Career Launch 1 wk ▾

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure Cloud & DevOps Engineer interview, end to end.

Topic	What You'll Learn
1. Interview Question Bank for Azure/DevOps/SRE Roles	Terraform, AKS, pipelines, monitoring and incident-response questions asked in real interviews, 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 Azure 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:

Azure PortalAzure CLIPowerShellPython (Azure SDK)TerraformBicepARM TemplatesDockerKubernetesAzure Kubernetes Service (AKS)Azure Container RegistryAzure PipelinesAzure Repos & BoardsGitHub ActionsAnsibleAzure MonitorLog Analytics (KQL)Application InsightsAzure FunctionsAzure SQLCosmos DBAPI ManagementMicrosoft Defender for CloudKey VaultGitHub CopilotAzure Cost Management

⬇️ 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 Azure Cloud Faculty

Real Industry Trainers, Not Just Instructors

Every Fourcup trainer has a minimum of 8+ 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.

8+ 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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