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For Students, Freshers & IT Professionals

Cloud Computing
Workshop with GenAI

No prior cloud experience needed. Go from zero to confidently building, deploying, and securing cloud infrastructure on AWS, Azure, and GCP — with real AI tools woven into every single module.

View Curriculum →
11
Modules
20+
Hours Live
14+
AI Tools
100%
Hands-On
Accredited by
🇮🇳 NSDCSkill IndiaGoogle for EducationIBMNSRIIM
— What You'll Gain —

Everything You Need to Think Like a Cloud Engineer

From zero to job-ready — real cloud skills, AI tools, and hands-on projects used by professionals at top companies.

☁️

Master AWS, Azure & GCP

Understand IaaS, PaaS, and SaaS — and learn to build, deploy, and manage infrastructure on all three major cloud platforms.

🤖

GenAI in Every Module

From Amazon Q writing IaC templates to GitHub Copilot auto-completing Kubernetes YAML — AI tools are woven into every topic.

⚙️

DevOps & CI/CD Hands-On

Build real pipelines with Docker, Jenkins, and Kubernetes. Deploy actual apps using CI/CD workflows — not just theory.

📜

Certification That Stands Out

Graduate with an Uncoder + IBM verified certificate and a live deployed cloud project that proves your skills to recruiters.

— Why Cloud + GenAI —

The Stack Every Cloud Team Is Hiring For

📈
Cloud computing jobs are growing at 26% annually — and companies specifically want engineers who can use AI to design infrastructure faster and cut cloud costs intelligently.
⚡
AI doesn't replace cloud engineers — it makes them 10× faster. Amazon Q writing Terraform, Copilot generating YAML, and AI-powered cost optimisation are now daily workflows.
🧠
By the end, you'll have deployed a real app on the cloud, built a CI/CD pipeline, and used AI tools that appear on actual cloud job descriptions at AWS, Azure, and GCP partners.
🚀
No prior tech degree required. Basic computer knowledge is all you need — we take you from "what is the cloud?" to deploying production-grade apps, class by class.
CLOUD ⚙️ DevOps 🔒 Security 🤖 AI/GenAI 💾 Storage Cloud Architect DevOps Eng. Cloud Engineer MLOps Engineer
— Curriculum —

11-Module Curriculum — Cloud Computing with GenAI Built In

Every module teaches real cloud skills + the exact AI tools professionals use for that skill in their daily jobs.

M1 — What is the Cloud?
M2 — IaaS, PaaS & SaaS
M3 — Cloud Deployment Models
M4 — Core Building Blocks
M5 — Databases in the Cloud
M6 — Cloud Security
M7 — DevOps & CI/CD
M8 — Cloud Cost Control
M9 — Monitoring & Scaling
M10 — Future of Cloud
M11 — Cloud Careers & Certs
Module 1 — What is the Cloud?
Understand why every company is moving to the cloud — from Netflix to Zomato, it all runs up there.
☁️ Core Topics
What is cloud computing and why companies use it
Real-world examples: Netflix, Zomato powered by cloud
Big players: AWS, Azure, Google Cloud compared
Internet-powered supercomputer — the analogy explained
🤖 GenAI Integration NEW
Use ChatGPT to compare AWS vs Azure vs GCP for any use case
Prompt Perplexity AI for latest cloud adoption trends and case studies
Generate a cloud migration proposal for any company using LLMs
Use AI to create study notes and quiz yourself on cloud fundamentals
TOOLS:ChatGPTPerplexity AIGoogle GeminiAmazon Q
Module 2 — IaaS, PaaS & SaaS
Renting a house vs. booking a hotel vs. ordering food — understand which cloud model fits which business.
🏗️ Core Topics
IaaS, PaaS, SaaS explained with real analogies
Compare Gmail, Canva, and AWS EC2
Which service model fits which company type
Shared responsibility model explained
🤖 GenAI Integration NEW
Use ChatGPT to generate IaaS/PaaS/SaaS decision frameworks
Prompt AI to compare cloud service models for a given startup scenario
Build a service model cheat sheet using LLMs in seconds
Use AI to generate mock exam questions on cloud models
TOOLS:ChatGPTGeminiEraser.io (diagrams)
Module 3 — Cloud Deployment Models
Public, private, hybrid, community — choose the right cloud setup for any organisation.
🏛️ Core Topics
Public, private, hybrid, and community clouds
Pros and cons of each deployment model
Deciding the best cloud setup for different businesses
Multi-cloud strategy introduction
🤖 GenAI Integration NEW
Use AI to generate deployment model recommendations from business requirements
ChatGPT to write hybrid cloud architecture proposals
Eraser.io — AI-generated cloud architecture diagrams from text
Prompt LLMs to compare multi-cloud vs single-cloud tradeoffs
TOOLS:ChatGPTEraser.ioAWS Architecture AI
Module 4 — Core Building Blocks
Set up virtual machines, configure storage, networks, and databases — hands-on from day one.
⚙️ Core Topics
Setting up virtual machines (online PC)
Cloud storage types: block, object, file
Configuring networks and subnets
Cloud databases: RDS, DynamoDB overview
🤖 GenAI Integration NEW
Use GitHub Copilot to generate Terraform / CloudFormation IaC templates
ChatGPT to explain AWS EC2 instance types and select the right one
Amazon Q to assist with AWS Console tasks in plain English
Copilot to auto-generate network configuration scripts
TOOLS:GitHub CopilotAmazon QChatGPTAzure Copilot
Module 5 — Databases in the Cloud
SQL vs NoSQL, managed vs unmanaged — store and query app data efficiently on cloud platforms.
🗄️ Core Topics
SQL vs. NoSQL: when to use each
Managed services: RDS, Firebase, Cosmos DB
Store and manage app data efficiently
Database scaling and replication basics
🤖 GenAI Integration NEW
Use ChatGPT to generate optimised SQL queries for cloud databases
AI-assisted schema design — describe your app, get a DB schema
GitHub Copilot for writing database connection and CRUD code
Prompt LLMs to compare RDS vs DynamoDB for any given use case
TOOLS:ChatGPT Code InterpreterGitHub CopilotAmazon Q
Module 6 — Cloud Security
Keep cloud infrastructure safe — IAM, encryption, firewalls, and compliance the right way.
🔒 Core Topics
How cloud platforms keep data secure
Identity and Access Management (IAM)
Encryption, firewalls, and compliance
Zero Trust and least-privilege principles
🤖 GenAI Integration NEW
Use AI to audit IAM policies for over-permissioned roles instantly
Microsoft Defender for Cloud + Copilot for security recommendations
ChatGPT to generate cloud security checklists for AWS/Azure/GCP
Prompt LLMs to explain cloud compliance (GDPR, HIPAA, SOC2) requirements
TOOLS:MS Defender + CopilotAmazon Q SecurityChatGPTPrisma Cloud AI
Module 7 — DevOps & CI/CD
Build and deploy apps the modern way — Docker, Jenkins, Kubernetes, and automated pipelines.
🔄 Core Topics
Build and deploy apps the modern way
Docker — containerisation fundamentals
Jenkins and Kubernetes basics
CI/CD pipelines and automated deployment
🤖 GenAI Integration NEW
GitHub Copilot to auto-generate Dockerfile and docker-compose files
ChatGPT to debug Kubernetes YAML errors in plain English
AI-generated GitHub Actions CI/CD pipeline workflows
Use Copilot to write Helm charts and deployment scripts
TOOLS:GitHub CopilotChatGPTAmazon CodeWhispererCodeium
Module 8 — Cloud Cost Control
On-demand, reserved, spot — avoid cloud bill shock by mastering pricing and optimisation.
💰 Core Topics
How cloud billing works: on-demand, reserved, spot
Avoid overspending by tracking and budgeting
Tools to monitor usage and cut costs
FinOps fundamentals for cloud teams
🤖 GenAI Integration NEW
Amazon Q for cost optimisation recommendations in plain English
Azure Advisor AI — automated cost-saving suggestions
ChatGPT to interpret AWS Cost Explorer reports and suggest savings
AI to build FinOps dashboards and cost anomaly alert logic
TOOLS:Amazon QAzure Advisor AIGoogle Gemini for GCPChatGPT
Module 9 — Monitoring & Scaling
Keep cloud apps healthy and performant — alerts, auto-scaling, and observability done right.
📊 Core Topics
Monitor performance, uptime and health
Set up alerts and log tracking
Automate scaling and health checks
CloudWatch, Azure Monitor, Cloud Logging
🤖 GenAI Integration NEW
Feed CloudWatch logs to ChatGPT for instant root-cause analysis
AI-generated auto-scaling policies from traffic pattern descriptions
Use Copilot to write CloudWatch alarm and Lambda trigger code
Datadog AI — anomaly detection and predictive alerting overview
TOOLS:ChatGPTDatadog AIGitHub CopilotAmazon Q
Module 10 — The Future of Cloud
AI, IoT, Edge Computing, and multi-cloud — where the industry is heading and how to stay ahead.
🔭 Core Topics
AI, IoT, and Edge Computing in the cloud
Multi-cloud strategies used by top companies
Serverless and event-driven architectures
Case study on future cloud innovations
🤖 GenAI Integration NEW
Explore how AWS Bedrock, Azure OpenAI, and Google Vertex AI work
Build a serverless AI function on AWS Lambda using Copilot
Use ChatGPT to design an event-driven cloud architecture from scratch
Perplexity AI for tracking latest multi-cloud and AI infrastructure trends
TOOLS:AWS BedrockAzure OpenAIGitHub CopilotPerplexity AI
Module 11 — Cloud Careers & Certifications
Cloud Architect, Cloud Engineer, DevOps — map your path and prepare for AWS/Azure/GCP certs.
🎯 Core Topics
Career options: Cloud Architect, Engineer, DevOps
Which certifications to pursue: AWS, Azure, GCP
Resume tips and interview preparation
Portfolio building with real cloud projects
🤖 GenAI Integration NEW
Use ChatGPT to generate AWS/Azure/GCP certification study plans
Prompt AI for mock interview questions for cloud engineer roles
Build an AI-powered career roadmap — skills, certs, timeline
Use Perplexity AI to research salary ranges and job trends in real time
TOOLS:ChatGPTPerplexity AIGitHub CopilotNotion AI
— Hands-On Projects —

Build Real Cloud Projects

Graduate with deployed, live cloud applications you can show to any recruiter — not just a certificate.

🏗️MODULE 4

AI-Generated IaC Template

Use GitHub Copilot and Amazon Q to auto-generate a complete Terraform template that provisions a 3-tier web app on AWS — VPC, EC2, RDS included.

TerraformAWSGitHub Copilot
🔄MODULE 7

AI-Assisted CI/CD Pipeline

Build a full CI/CD pipeline for a Node.js app using GitHub Actions. Use Copilot to generate the YAML config and auto-deploy to AWS Elastic Beanstalk.

GitHub ActionsDockerAWS EB
🤖CAPSTONE

Serverless AI App on Cloud

Build and deploy a serverless AI-powered app using AWS Lambda + API Gateway + Bedrock. Your own LLM-powered backend — live on the internet.

AWS LambdaBedrockAPI Gateway
— AI Toolkit —

AI Tools You Will Learn & Use

14 real cloud AI tools across every module — not just theory. You'll open, configure, and build with each one.

Amazon Q
GitHub Copilot
Azure Copilot
ChatGPT
AWS Bedrock
Eraser.io
Datadog AI
Perplexity AI
Amazon Q
GitHub Copilot
Azure Copilot
ChatGPT
AWS Bedrock
Eraser.io
Datadog AI
Perplexity AI
Google Gemini
MS Defender AI
Terraform + AI
Codeium
Azure OpenAI
Notion AI
Prisma Cloud
CodeWhisperer
Google Gemini
MS Defender AI
Terraform + AI
Codeium
Azure OpenAI
Notion AI
Prisma Cloud
CodeWhisperer
14+AI Tools
11Modules
100%Hands-On
0Prior Exp. Needed
— Career Outcomes —

Jobs You Can Get After This Workshop

Cloud computing is the backbone of every tech company. Here are the roles this workshop directly prepares you for.

☁️

Cloud Engineer

₹5 – 14 LPA

Build and maintain cloud infrastructure on AWS, Azure, or GCP. Configure networks, VMs, storage, and databases for production systems.

AWSAzureTerraform
Demand
Very High
🏗️

Cloud Architect

₹12 – 30 LPA

Design scalable, secure, and cost-efficient cloud systems. The most senior and highest-paid cloud role — this workshop gives you the foundation.

ArchitectureMulti-cloudFinOps
Demand
High
🔄

DevOps Engineer

₹7 – 20 LPA

Build CI/CD pipelines, manage Kubernetes clusters, and automate deployments. The most in-demand role combining cloud + development skills.

DockerKubernetesCI/CD
Demand
🔥 Hot Role
🔒

Cloud Security Engineer

₹8 – 22 LPA

Secure cloud environments with IAM, Zero Trust, encryption, and compliance policies across AWS, Azure, and GCP platforms.

IAMZero TrustCompliance
Demand
Very High
💰

FinOps Analyst

₹6 – 16 LPA

Optimise cloud costs across an organisation. Use AI tools like Amazon Q and Azure Advisor to find savings and build cost dashboards.

Cost MgmtAWS Cost ExplorerFinOps
Demand
Growing Fast
🤖

MLOps / AI Cloud Engineer

₹10 – 28 LPA

Deploy and manage AI/ML models on AWS Bedrock, Azure OpenAI, and Google Vertex AI. The newest and fastest-growing cloud role in 2025.

AWS BedrockVertex AIMLOps
Demand
🚀 Emerging
🏢 Who's Hiring Cloud Professionals
TCSInfosysWiproIBMAccentureCapgeminiHCLAWS IndiaMicrosoftGoogle Cloud
2.4M+Global job openings
26%Annual growth rate
— Frequently Asked Questions —

Questions Students Usually Ask Before Joining

Here are the important details about the Cloud Computing+ GenAI workshop.

This is a 6-week workshop with live sessions, hands-on practice, assignments, and project-based learning.

No. This workshop starts from the basics, so students, freshers, and beginners can join comfortably.

Yes. GenAI tools are included in every module to help you understand AI-assisted threat analysis, report writing, policy creation, and security workflows.

The workshop is practical. You will work on real security concepts, tools, labs, case studies, and hands-on exercises.

Yes. After completing the workshop requirements, you will receive a completion certificate from Uncoder.

Students, freshers, IT professionals, career switchers, and anyone interested in Cloud Computingand GenAI can join.

Start building on the
cloud — with AI.

Whether you're a student, career-switcher, or developer — if you can use a computer, you can start this workshop today. We teach everything else.

⚡ Limited seats per cohort — freshers & students get priority!
  • Zero cloud background needed to start
  • Live sessions + hands-on AWS/Azure/GCP labs
  • 1:1 mentorship from working cloud professionals
  • GenAI tools integrated into every single module
  • Government-recognized certification + placement support