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☁️ Cloud Genius Hub
Free live masterclass · every day at 11:00 AM IST

One Clear Roadmap to Become an AI-Ready Cloud Professional

A 90-minute live session that replaces AWS-vs-GCP-vs-Azure confusion with one clear, capability-first roadmap — what to learn first, what to ignore, and how AI fits your career.

Date
 
Time
11:00 AM IST
Duration
90 minutes
Language
English

Free · Limited live seats · No prior cloud expertise required

Registration closes in
52 live seats left74% full

Live capacity is limited for the interactive experience.

  • Free to attend
  • Live Q&A included
  • Built for working professionals
The core promise

In this free masterclass, you'll discover a clear, capability-first roadmap to move from cloud confusion to an AI-ready career — including what to learn first, what to ignore for now, which projects to build, and how Cloud + AI fit together.

What's covered

In 90 Minutes, You'll Get Clarity On…

Seven layers that take you from technology noise to a career roadmap you can actually follow.

01

The AI-Era Career Map

Where Cloud, AI, Kubernetes, DevOps and Architecture fit.

02

The Cloud Confusion Problem

How to stop jumping between technologies.

03

The Capability-First Roadmap

What capabilities employers actually expect before chasing tools.

04

The Right Starting Point

What to learn first, what to postpone and why.

05

The Project Path

How one evolving project can become your portfolio.

06

The AI Layer

Where AI fits into modern cloud engineering.

07

The Career Conversion Layer

How capability becomes portfolio evidence, interview confidence and career opportunity.

Free registration. Limited live seats. No prior cloud expertise required.

The shift

Old way vs the Cloud Genius way

Same effort. Completely different result — because the sequence changes.

Old way ❌Cloud Genius way ✅

Start with random tutorials

Start with a career outcome

Learn every cloud

Choose a focused learning laboratory

Memorize services

Build capabilities

Study Kubernetes first

Learn Kubernetes when the project needs it

Watch hundreds of videos

Learn → Do → Teach

Collect certificates

Build portfolio evidence

Learn AI separately

Integrate AI into cloud workflows

Finish a course

Complete transformation missions

Learn alone

Learn with a community

Ask "What should I learn?" every week

Follow a visible roadmap

The philosophy

Clarity → Capability → Career

Three steps, in this order. Skipping one is why most people stall.

Step 1

Clarity

Identify your career destination and remove technology noise.

What capability do I need for the career I want?

Step 2

Capability

Learn through real projects using the minimum tools required.

Can I actually build and explain this?

Step 3

Career

Turn capability into evidence, confidence and opportunity.

Can I demonstrate this value to an employer, client or market?

On the masterclass

The three shifts we'll unpack together

Each one breaks an assumption that's quietly costing you years, and replaces it with something that works.

Secret #1

Stop Chasing Tools. Build Capabilities.

Most people believe the next tool is the missing piece.

Understand why Cloud, AI, Kubernetes, Terraform and other tools exist before going deep into them. Tools follow capability — never the other way round.

Secret #2

Learn → Do → Teach

Most people believe watching more content equals progress.

Every concept becomes: Learn → Build → Break → Fix → Document → Explain. If you can teach it, you own it.

Secret #3

Build One Career Portfolio, Not Ten Random Projects

Most people believe more projects means a stronger profile.

Progressively evolve one meaningful system so the final project tells a coherent career story an employer can follow.

Ready for the roadmap instead of another course?

Free registration. Limited live seats. No prior cloud expertise required.

What you walk away with

Nine things that change after 90 minutes

  • Reduce technology confusion
  • Understand Cloud's role in modern careers
  • Understand where AI fits into Cloud work
  • Create a focused learning roadmap
  • Choose meaningful projects
  • Start building portfolio evidence
  • Speak more confidently about your skills
  • Use AI to accelerate learning and productivity
  • Build a repeatable career-upskilling system
Free resources

Three tools you get for registering

AI Career Clarity Prompt Pack

Prompts for career analysis, skill-gap analysis, learning plans, interview preparation and project ideation.

Value: ₹8,000

Cloud Career Path Finder

A guided tool to identify profile, target role, capability gaps and recommended learning sequence.

Value: ₹6,500

90-Day AI-Ready Cloud Roadmap

A visual progression from Foundations → Cloud → Cloud-Native → Automation → AI → Architecture.

Value: ₹6,000

Total value₹30,400Yours free today when you reserve your seat.
The 90-day roadmap

From confused professional to AI-ready cloud professional

Three phases. One evolving system. A portfolio, a job-ready profile and a public teach-back you can point an employer to.

Mission → Domain → Tools

The anchor never moves, only the tools rotate. That is what ends the AWS → GCP → “which platform should I master” loop.

Mission

Career transformation

For telecom & ICT professionals moving into the AI era.

Domain

Cloud-native & Kubernetes

Taught through real production telecom systems — the part nobody else can copy.

Tools

AWS · GCP · AI copilots · AIOps

Interchangeable modules that rotate as the market shifts. Never the identity.

The 90-day path

Phase 1 · Days 1–30

1. Foundation

Container and Kubernetes fundamentals, mapped step by step to telecom CNFs. Home lab set up in week one so every concept has somewhere real to land.

By Day 30: you can explain and demo core Kubernetes concepts with genuine confidence — not just recognise the vocabulary.

Phase 2 · Days 31–60

2. Application

Deploy a small cloud-native service end to end. AWS/GCP managed Kubernetes in parallel so the skill generalises beyond one platform. Shift from “I completed a tutorial” to “I can troubleshoot what broke.”

By Day 60: a working deployed project and a documented root-cause case study you can talk through in an interview.

Phase 3 · Days 61–90

3. Transformation

Layer in AI with a small AIOps project, build the capstone, rebuild your resume and LinkedIn around the cloud-native identity, and run mock interviews.

By Day 90: a portfolio project, a job-ready profile and one public teach-back video.

The weekly rhythm never changes

Learn → Do → Document → Teach. Every week, without exception.

  1. 01

    Learn

    One concept, taught from a real production scenario first and theory second.

  2. 02

    Do

    A hands-on lab on your own infrastructure.

  3. 03

    Document

    Write or record what you learned and what tripped you up — this becomes your portfolio.

  4. 04

    Teach

    Explain the concept to at least one peer in the community. Teaching it is the proof of mastery.

Inside the cohort — TeleCloudify LAUNCHPAD

Module 1 — Foundations

Weeks 1–4

Kubernetes and cloud-native concepts mapped directly to CNFs, pods, Helm and namespaces the way they show up in telecom production.

Ends with: A deployed containerized service on your own home lab.

Module 2 — Application

Weeks 5–8

Build, break and fix a mini cloud-native project. Managed Kubernetes on AWS/GCP (EKS/GKE), health checks, logs and a production troubleshooting mindset.

Ends with: A working project plus a documented, RCA-style case study.

Module 3 — Transformation

Weeks 9–12

AI-assisted cloud operations (a small AIOps project), capstone build, resume and LinkedIn repositioning, mock interviews.

Ends with: Capstone project, job-ready profile, one public teach-back video.

The mission ladder

Confused professional

  1. Mission 0

    Clarity

    Identify your destination and cut the noise.

  2. Mission 1

    Build

    Deploy your first real cloud system.

  3. Mission 2

    Containerize

    Containerize and modernize it.

  4. Mission 3

    Scale

    Scale it using cloud-native orchestration.

  5. Mission 4

    Automate

    Automate infrastructure and delivery.

  6. Mission 5

    Add AI

    Integrate practical AI.

  7. Mission 6

    Architect

    Design, document and present the complete architecture.

AI-Ready Cloud Professional

A free taste of Phase 1

A single weekend mini-project — “Containerize Your First Telecom Service” — before anyone is ever asked to enrol in the full 90 days.

Value stack

Everything included when you register

  • Cloud Ready Masterclass — 90 minutes

    ₹9,900

    The full capability-first roadmap session, live, with Q&A.

  • AI Career Clarity Prompt Pack

    ₹8,000

    Career analysis, skill-gap analysis, learning plans, interview prep and project ideation.

  • Cloud Career Path Finder

    ₹6,500

    Identify your profile, target role, capability gaps and learning sequence.

  • 90-Day AI-Ready Cloud Roadmap

    ₹6,000

    Foundations → Cloud → Cloud-Native → Automation → AI → Architecture.

Total value

₹30,400

Your investment today

FREE today

No credit card required.

Portrait of Amit Ghosh
Your guide

Amit Ghosh

Founder, Cloud Genius Hub

Amit is a telecom and cloud technology professional with 15+ years of experience across enterprise network and cloud-native technology environments.

His career has included telecom operations, network platforms, cloud-native systems, Kubernetes environments and technical troubleshooting.

His own learning journey exposed a problem millions of professionals face: technology is no longer the biggest problem — knowing what to learn, in what order, and how to turn it into career value is.

I don't want to create another library of courses. I want to build a transformation ecosystem where professionals know where they are, where they're going, and what they need to do next.

  • 15+ years in telecom & cloud
  • Kubernetes & cloud-native practitioner
  • Founder, Cloud Genius Hub
Questions

Frequently asked

Your Career Doesn't Need Another Random Course.

It Needs a Clear Direction.

Stop asking

"What technology should I learn next?"

Start asking

"What capability will make me more valuable?"

Reserve your free seat for the Cloud Ready Masterclass.

⏳ Next live session — today 11:00 AM IST