D24
Advanced SpecializationGrowthIntermediate6 weeks
Azure Cloud Engineering
Azure Cloud Engineering is a 6-week course giving hands-on experience with Microsoft Azure — App Service, Azure Functions, Azure SQL, and Entra ID (Azure AD) identity management — building and deploying serverless and web applications, and monitoring them, for developers who want Azure-specific skills for enterprise, Microsoft-stack cloud roles.
Get hands-on with Microsoft Azure — App Service, Azure Functions, Azure SQL, and Entra ID (Azure AD) — building and deploying real applications on the cloud platform most common in enterprise environments.
What you'll learn
Core Azure compute, storage, and database services
Entra ID (Azure AD) identity and access management
Serverless apps with Azure Functions
Deploying and monitoring production workloads on Azure
Course details
Duration
6 weeks
Best for
Developers who want Azure-specific skills for cloud roles in enterprise/Microsoft-stack companies
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in Azure Cloud Engineering.
01Getting Started & Environment Setup
4 topicsWeek 1
- Setting up a free-tier Azure account
- Installing the Azure CLI
- Signing in and setting an active subscription
- Verifying access with az account show
02Basic
4 topicsWeek 2
- Resource groups, regions, and subscriptions
- Entra ID (Azure AD) users, roles, and RBAC
- Azure Virtual Machines basics
- Blob Storage and storage tiers
03Intermediate
4 topicsWeek 3
- Deploying web apps with App Service
- Azure SQL Database basics
- Connection strings and managed identities
- Scaling App Service plans
04Advanced
4 topicsWeek 4
- Writing and deploying Azure Functions
- HTTP triggers and bindings
- Event-driven triggers (Blob, Queue, Timer)
- Consumption vs. Premium plans
05Pro
8 topicsWeek 5
- ARM Templates / Terraform Basics on Azure
- Azure Monitor and Application Insights
- Cost Management and Budgets
- Production Readiness Checklist
- Use managed identity with explicit resource permissions
- Design a managed application around configuration and health
- Match storage and access to the data's lifecycle
- Design recovery from a stated failure scenario
06AI Pro
3 topicsWeek 6
- Using Claude, ChatGPT, and Perplexity for Azure Infrastructure Work
- Verifying AI-Suggested Azure Configurations Before Applying Them
- Project: AI-Assisted Azure Configuration with Scope and What-If Verification
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
AzuAzure
AppApp Service
AzuAzure Functions
AzuAzure SQL
EntEntra ID
AzuAzure Monitor
TFTerraform
ChaChatGPT
ClaClaude
PerPerplexity
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
Deployed web app on Azure App Service
Serverless API using Azure Functions
Azure SQL-backed application with managed identity auth
Application Insights dashboard tracking performance and cost
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in Azure Cloud Engineering get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, Azure Cloud Engineering, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track.
Course Completion Certificate
SAMPLE
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
Azure Cloud Engineering
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 6 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
SAMPLE
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
Azure Cloud Engineering
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 6 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the Azure Cloud Engineering course?
You'll learn: Core Azure compute, storage, and database services; Entra ID (Azure AD) identity and access management; Serverless apps with Azure Functions; Deploying and monitoring production workloads on Azure.
What tools and technologies does the Azure Cloud Engineering course cover?
This course covers: Azure, App Service, Azure Functions, Azure SQL, Entra ID, Azure Monitor, Terraform, ChatGPT, Claude, Perplexity.
Is the Azure Cloud Engineering course beginner-friendly?
This is a intermediate-level course, so it assumes some prior familiarity with the subject. It starts with a "Getting Started & Environment Setup" module covering tool installation before the main curriculum.
How long does the Azure Cloud Engineering course take to complete?
The course is designed to be completed in approximately 6 weeks, depending on your pace.
What enrollment options are available for Azure Cloud Engineering?
Internship (₹2,499) — Work through real projects with our team and earn an internship certificate (course certificate not included). Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Azure Cloud Engineering?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing Azure Cloud Engineering?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile.
What kind of projects will I build in Azure Cloud Engineering?
You'll work on real projects such as: Deployed web app on Azure App Service; Serverless API using Azure Functions; Azure SQL-backed application with managed identity auth; Application Insights dashboard tracking performance and cost.
Is placement support included with Azure Cloud Engineering?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
