DEV Community: Mrityunjai Sachan

I Finally Understand What "The Cloud" Actually Means — Here's What I Learned

Mrityunjai Sachan — Thu, 16 Apr 2026 06:02:25 +0000

👉 Introduction to Cloud Infrastructure: Describe Cloud Concepts

https://learn.microsoft.com/training/paths/azure-fundamentals/?wt.mc_id=studentamb_509564

Everyone uses the word. Almost nobody can explain it. I just did a free Microsoft course that changed that.

The question I was too embarrassed to ask

For the longest time, whenever someone said "it's stored in the cloud" — I just nodded.

I had no idea what that actually meant. Like, where IS the cloud? Is it literally somewhere in the sky? Is it just someone else's hard drive? Why does every company seem to suddenly "move to the cloud"?

I never asked because it felt like something I was supposed to already know.

Last week I finally got my answer — through a completely free Microsoft Learn course called "Introduction to Cloud Infrastructure: Describe Cloud Concepts" (Part 1 of the Azure Fundamentals series).

And I'm writing this article because I genuinely wish someone had explained these things to me earlier. So let me be that person for you.

What this course actually covers

The learning path has 3 modules and takes under an hour. Here's what each one teaches — explained simply.

Module 1 — Describe Cloud Computing (24 min)

This is the "wait, THAT'S what it means?" module.

What is cloud computing, really?

Simply put — cloud computing means using someone else's computers (servers) over the internet instead of buying and managing your own.

Imagine you're starting a food delivery startup. You need servers to run your app. You have two choices:

Option A (Old way): Buy physical servers, set up a data center, hire people to maintain them, pay for electricity, deal with hardware failures. Costs crores. Takes months.

Option B (Cloud way): Rent computing power from Microsoft Azure. Pay only for what you use. Scale up when you get more users, scale down when you don't. Ready in minutes.

That's the fundamental shift the cloud created.

The course also covers deployment models:

Public Cloud — Infrastructure owned by a cloud provider (like Azure) and shared among multiple customers. Like renting a flat in an apartment building.
Private Cloud — Infrastructure used exclusively by one organization. Like owning your own bungalow.
Hybrid Cloud — A mix of both. Like owning a house but renting extra space when you need it.

And the shared responsibility model — this one was genuinely eye-opening.

When you use cloud services, security responsibilities are split between you and the cloud provider. Microsoft handles the physical security of their data centers, the networking infrastructure, and the hardware. You handle your data, your user access, and your applications. Understanding where Microsoft's responsibility ends and yours begins is critical — and this module explains it clearly.

Module 2 — Describe the Benefits of Using Cloud Services (19 min)

This module answers the question: why does literally every company seem to be moving to the cloud?

Here are the key benefits the course covers — with real-world context:

High Availability
Cloud services are designed to keep running even when things go wrong. Azure has data centers across the world — if one goes down, your app keeps running from another. This is why apps like Teams or Outlook almost never go fully offline.

Scalability
Your app suddenly goes viral? Cloud services can handle thousands of new users in seconds by automatically adding computing resources. No physical hardware to buy. No waiting weeks for new servers to arrive.

Zomato during IPL season. BookMyShow during a major concert release. These companies survive traffic spikes because of cloud scalability.

Reliability
Cloud providers offer SLAs (Service Level Agreements) — guarantees that their services will be available a certain percentage of the time. Azure promises 99.9% uptime on most services. That's less than 9 hours of downtime per year.

Security
Microsoft invests billions in cloud security every year — far more than most individual companies ever could. Physical access controls, encryption, compliance certifications, threat detection — all built in.

Cost efficiency (CapEx vs OpEx)
This was a concept I'd heard but never understood until this module.

CapEx (Capital Expenditure) — paying a huge upfront cost for physical infrastructure
OpEx (Operational Expenditure) — paying as you go for what you use

Cloud computing shifts IT spending from CapEx to OpEx. Instead of spending ₹50 lakhs upfront on servers, you pay ₹5,000 a month for exactly what you use. For startups and students building projects — this is a game changer.

Module 3 — Describe Cloud Service Types (13 min)

This is the module that finally made IaaS, PaaS, and SaaS make sense to me.

You've definitely used all three — you just didn't know the names.

IaaS — Infrastructure as a Service

Microsoft gives you the raw computing resources — virtual machines, storage, networking. You manage everything on top of it: the operating system, the runtime, your applications.

Think of it like renting an empty flat. The building exists, the walls are there — but you furnish it yourself.

Example: Running your own server on Azure Virtual Machines

PaaS — Platform as a Service

Microsoft handles the infrastructure AND the platform (operating system, runtime, middleware). You just bring your application and your data.

Think of it like renting a fully furnished flat. You just move in with your stuff.

Example: Deploying a web app on Azure App Service without worrying about the server underneath

SaaS — Software as a Service

Microsoft handles everything — infrastructure, platform, AND the software. You just use it.

Think of it like staying in a hotel. Everything is handled. You just show up.

Example: Microsoft 365, Gmail, Zoom, Canva — you use the software, someone else runs it all

Understanding these three categories makes you instantly more fluent in tech conversations. When someone says "we're building on PaaS" — you now know exactly what that means.

Who should take this course?

This course is genuinely for everyone — not just CS students.

✅ BCA / B.Tech students — foundational knowledge for any tech career

✅ BBA / MBA students — cloud is transforming every business; understanding it gives you an edge

✅ Non-CS students — you use cloud services every day; knowing how they work makes you more informed

✅ Job seekers — "cloud knowledge" appears in thousands of Indian job listings across every sector

✅ Complete beginners — the only prerequisite is basic familiarity with IT concepts

What I earned by completing it

After finishing all 3 modules I earned:

🏆 The "Introduction to Cloud Infrastructure: Describe Cloud Concepts" trophy on my Microsoft Learn profile

⚡ 2,500 XP added to my learning profile

📄 A verifiable achievement I can share on LinkedIn

And this is just Part 1 of 4 in the Azure Fundamentals series. Parts 2, 3, and 4 cover Azure architecture, management, governance, and hands-on projects.

Start right here — it's completely free

No fees. No credit card. Just a free Microsoft account (which you probably already have).

👉 Introduction to Cloud Infrastructure: Describe Cloud Concepts

https://learn.microsoft.com/training/paths/azure-fundamentals/?wt.mc_id=studentamb_509564

The full series prepares you for the AZ-900: Microsoft Azure Fundamentals certification — one of the most recognized entry-level cloud certifications in the industry.

My honest take

I went into this course thinking "cloud" was just a buzzword that tech people throw around.

I came out understanding why every single tech company in the world is either on the cloud already or moving there right now. I understand why startups choose Azure over buying servers. I understand what my college seniors mean when they talk about deploying apps.

56 minutes. 3 modules. Free.

If you've been meaning to learn about cloud but kept putting it off because it sounded complicated — this is the sign to just start.

Drop a comment below if you take it. I'd love to know what you think. 👇

This article is part of my Microsoft Learn Student Ambassador journey — where I learn, document, and share free Microsoft resources with students who deserve access to them.

Tags: azure cloud beginners microsoft learning career students webdev

I Thought AI Was Too Complicated for Me — Then I Found This Free Microsoft Course No coding. No fees. No experience needed. Just curiosity.

Mrityunjai Sachan — Sat, 11 Apr 2026 06:32:11 +0000

Let me be honest with you

A few months ago, if someone said "machine learning" to me, I'd nod along pretending I understood — and then immediately Google it the moment they turned away.
AI felt like something reserved for people at MIT or IITs. People who had been coding since they were 12. People who understood math at a level I definitely did not.
I was wrong.
And this article is me telling you exactly how I found out I was wrong — and what I did about it.

The moment everything changed
I recently joined the Microsoft Learn Student Ambassador (MLSA) program. As part of the journey, I was pointed toward a free learning path on Microsoft Learn called:

"Get Started with AI on Azure"

I almost skipped it. Sounded technical. Sounded advanced. Sounded like something I'd open, get confused by in 5 minutes, and close.
But I didn't skip it. And in a few hours, something clicked that hadn't clicked in years of hearing about AI.

What I actually learned (in plain English)

Here's what this course covers — and I'm going to explain each one the way I wish someone had explained it to me.

How machine learning actually works

You know how Spotify knows what song you want to hear next? Or how Gmail knows which emails are spam?
That's machine learning. And it's not magic — it's pattern recognition at massive scale.
The course explains this with real examples, no scary math, no complex code. Just the concept, clearly explained. By the end of module 1, I finally understood what people mean when they say "the model was trained on data."

How computers see and understand images

Ever wondered how your phone unlocks with your face? Or how Google Photos groups all your pictures of the same person together?
That's computer vision. The course walks you through how AI systems analyze images — identifying objects, reading text, detecting faces, understanding scenes.
It genuinely blew my mind that this is now something anyone can build using Azure's pre-built AI services. No PhD required.

How ChatGPT and similar tools are actually built

This was the part I was most curious about — and it delivered.
The course explains Natural Language Processing (NLP) in a way that finally made sense to me. How AI systems understand the words you type. How they generate responses. What's actually happening when you have a conversation with an AI chatbot.
Understanding this changed how I use AI tools. I now know why certain prompts work better than others.

How to use Azure AI services from scratch

This is where it gets genuinely exciting.
Microsoft has pre-built AI services you can use without building anything from scratch. Things like:

Azure Computer Vision — analyze images automatically
Azure Language Service — understand and process text
Azure Bot Service — build chatbots
Azure OpenAI Service — access GPT models

The course shows you what these are, how they work, and how real companies use them. You don't need to write a single line of code to understand this.

Who is this course for?
Let me be very direct:
✅ You have zero AI experience
✅ You've always been curious but never knew where to start
✅ You're a student in any field — CS, BCA, BBA, even arts
✅ You use AI tools like ChatGPT but don't understand how they work
✅ You want something to add to your resume that actually means something
❌ You do NOT need to know coding
❌ You do NOT need a math background
❌ You do NOT need to pay anything

The part that surprised me most
I expected this to be a dry, boring, corporate-style training.
It wasn't.
The Microsoft Learn platform is actually well-designed for students. Each module has:

Short, readable lessons (no 3-hour video lectures)
Knowledge checks at the end so you actually retain things
Badges and XP you earn as you progress
A trophy when you complete the full learning path

That trophy shows up on your Microsoft Learn public profile — which you can link on your LinkedIn and resume.

How to get started right now

Click the link below
Sign in with any Microsoft account (or create one free — takes 2 minutes)
Click "Start" on the first module
That's it

👉 Get Started with AI on Azure — Free Microsoft Learn Path

Azure AI Fundamentals

One more thing
I'm sharing this as part of my Microsoft Learn Student Ambassador journey — a program where students learn, share, and build communities around Microsoft technologies.
If you complete this course, drop a comment below. I'd love to know what you thought of it — especially if you're someone who was scared of AI before clicking that link.
Because honestly? A few weeks ago, I was too.

Found this useful? Share it with one friend who thinks AI is "not for them." It might change their mind the same way it changed mine.