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AI Skills Lab AI Skills Lab | Data Analytics, Cloud Computing & Generative AI Courses

Master in Cloud Computing – 9 Months Program

Expert Level | Projects + Certification + Enterprise Simulation

Program Overview

Become a Cloud & DevOps Expert
with Enterprise-Grade Training

Hands-on program covering Linux, Networking, Cloud (AWS & Azure), Containerization, Kubernetes, DevOps, CI/CD, DevSecOps, Observability, MLOps, and LLMOps for enterprise-ready deployment.

👨‍🏫
Instructor Team AI Skills Lab
⏳
Duration 160 Hours
📚
Lessons 80 Lessons
💳
Program Fee ₹149,000
Month 1
Core Foundations – Linux, Networking & Infrastructure
Objective
  • Build rock-solid fundamentals required for production systems
Topics Covered
  • Linux internals (processes, memory, file systems, permissions, systemd)
  • Advanced shell scripting (Bash, AWK, Sed, Cron jobs)
  • Networking fundamentals (TCP/IP, DNS, HTTP/HTTPS, Load Balancing)
  • OS-level security basics
  • SSH hardening & access control
Hands-On Labs
  • Hardened Ubuntu Server setup
  • Secure NGINX web server deployment
  • Reverse proxy & load balancer configuration
Month 2
Cloud Fundamentals – AWS & Azure from Scratch
Objective
  • Understand cloud infrastructure at scale
Technologies – AWS
  • EC2, VPC, IAM, S3, ALB, Auto Scaling
  • Cloud networking & identity design
  • Cost optimization & tagging strategies
Technologies – Azure
  • VM, VNets, NSG, Azure Storage
Industry Use Cases
  • AWS infra setup for a TCS-style internal application
  • Multi-tier architecture for an EY consulting workload
Month 3
Containerization & Kubernetes Engineering
Objective
  • Move from VM-based systems to container orchestration
Technologies
  • Docker internals & image optimization
  • Kubernetes architecture (API Server, Scheduler, etcd)
  • Helm charts
  • Ingress controllers (NGINX, Traefik)
  • Stateful vs Stateless workloads
Project
  • Kubernetes-based microservices deployment for an Amazon-like e-commerce backend
Month 4
CI/CD & DevOps Automation
Objective
  • Build automated delivery pipelines
Technologies
  • GitHub Actions, Jenkins, GitLab CI
  • Infrastructure as Code (Terraform)
  • Configuration management (Ansible)
  • Blue-Green & Canary deployments
Real-World Scenarios
  • CI/CD pipeline for Walmart-scale application releases
  • Automated infra provisioning for a PwC consulting client
Month 5
DevSecOps – Security Embedded into Pipelines
Objective
  • Shift security left
Technologies & Practices
  • SAST, DAST, SCA
  • Secrets management (Vault)
  • Container security (Trivy, Aqua)
  • Kubernetes RBAC & Network Policies
  • Compliance automation
Project
  • DevSecOps pipeline aligned with KPMG audit & compliance standards
Month 6
Observability, Reliability & AIOps Foundations
Objective
  • Operate systems intelligently at scale
Technologies
  • Prometheus & Grafana
  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • Distributed tracing (Jaeger)
  • SLA, SLO, Error Budgets
  • Introduction to AIOps
Use Case
  • Real-time monitoring for a Blinkit-style logistics platform
Month 7
MLOps – Machine Learning in Production
Objective
  • Operationalize ML systems
Technologies
  • ML pipelines (training, validation, deployment)
  • Model versioning (MLflow)
  • Feature stores
  • Kubernetes-based ML serving
  • CI/CD for ML models
Project
  • Demand forecasting model deployment for Retail Analytics (Amazon/Walmart inspired)
Month 8
LLMOps – Managing Large Language Models
Objective
  • Deploy and manage LLM-based systems
Technologies
  • LLM deployment pipelines
  • Model fine-tuning workflows
  • Vector databases (Pinecone, FAISS)
  • Prompt engineering pipelines
  • API gateways for AI services
Enterprise Scenario
  • Internal AI assistant for a Deloitte-style consulting knowledge base
Month 9
Capstone Projects & Enterprise Simulation
Capstone Options
  • AI-Powered E-Commerce Platform – Amazon/Walmart Inspired
  • Consulting Firm Cloud Platform – PwC/KPMG Inspired
  • Real-Time Logistics Intelligence Platform – Blinkit Inspired
Deliverables
  • Architecture design documents
  • GitHub repositories
  • Monitoring dashboards
  • Security & cost reports
  • Production-grade deployment
Outcome & Career Readiness
  • Design & operate enterprise cloud platforms
  • Build secure, scalable CI/CD pipelines
  • Manage AI & ML workloads in production
  • Work as Cloud Engineer, DevOps Engineer, SRE, MLOps Engineer, Platform Engineer
Why This Program is Different
  • Starts from absolute fundamentals
  • Ends with real-world, enterprise-grade deployments
  • Covers DevOps + AI Operations
  • Strong alignment with Big 4 consulting & product companies
  • Built for placement-backed, outcome-driven learning

High-Income Cloud Careers

  • Cloud Engineers Earn Up to $120k+
  • 9-Month Program Designed for Salary Growth
  • Skills That Justify Premium Packages

9-Month Career Transformation

  • Beginner to Job-Ready Cloud Professional
  • Structured Learning With Real Deployments
  • Clear Outcomes by Program Completion

Non-IT to Cloud Engineer Path

  • No Prior Coding or IT Experience Required
  • Designed for Graduates & Career Switchers
  • Step-by-Step Cloud Entry Roadmap

IT Professionals Skills Upgrade

  • Move Beyond Support & Admin Roles
  • Upgrade to Cloud Engineer Positions
  • Faster Promotions & Role Elevation

Global Cloud Job Market

  • Cloud Skills Power Global Remote Roles
  • High Demand Across SaaS & Enterprises
  • Work With International Cloud Teams

Production-Grade Cloud Tools

  • AWS, Azure & GCP Cloud Platforms
  • Linux, Networking & Cloud Security
  • Tools Used in Real Industry Environments

Fast-Track Career Growth

  • Junior to Senior Cloud Roles Faster
  • High Ownership & Responsibility Roles
  • Leadership Path Toward Cloud Architect

Mission-Critical Cloud Expertise

  • Design Highly Available Cloud Systems
  • Ensure Security, Scalability & Reliability
  • Become Business-Critical to Organizations

Real-World Cloud Deployments

  • Deploy Live Applications on Cloud
  • Auto-Scaling, Load Balancing & Monitoring
  • Portfolio That Proves Hands-On Expertise

Cloud Knowledge That Pays

  • Networking, Storage & Cloud Architecture
  • Cost Optimization & Performance Tuning
  • Skills Applicable Across All Industries

Future-Ready Cloud Skills

  • Cloud Backbone for AI, Data & GenAI
  • Prepare for Multi-Cloud & Hybrid Systems
  • Stay Relevant for the Next 20+ Years

Industry-Ready Capstone Portfolio

  • End-to-End Cloud Architecture Projects
  • Interview-Focused Design & Documentation
  • Higher Job Selection & Offer Confidence

Recently Placed Learners

From Freshers to Top Industry Companies

Rajendra Mishra

DevOps Engineer · Fresher

Joining AiskillsLab was one of the best decisions of my career.I highly recommend AiskillsLab to anyone serious about building a career in tech

Placed at → Deloitte

Vineeta Sharma

Cloud Engineer · Fresher

Enrolling in AiskillsLab for Cloud Engineering completely transformed my career path

Placed at → Accenture

Ankit Agarwal

Ai/ML Engineer· Experienced

Joining AiskillsLab for the AI/ML program was a turning point in my career.

Placed at → Amazon

Saanvi Shergill

Cloud Engineer· Fresher

Learning was perfectly aligned with industry needs.

Placed at → Wipro

Janvi Sharma

Cloud Support Engineer

Successfully placed as Cloud Engineer with excellent salary package after training.

Placed at → Girnar Software Pvt. Ltd.

Harsh Kumar

Senior Data Analyst

Happy to achieve my goal of becoming a Cloud Data Analyst Thankful for the mentorship

Placed at → Oracle

Anjana Singh

Data Analyst

Proud to start my career as a Data Analyst Thankful for the amazing support and guidance!

Placed at → FIS GLOBAL

Shiv Chetan

Data Analyst · Fresher

AI Skills Lab helped me build strong analytics fundamentals with real-world projects and mentorship.

Placed at → Girnar Software Pvt. Ltd.

Khushi Juneja

Cloud Engineer · Fresher

The structured cloud training helped me gain confidence and industry-ready skills.

Placed at → Omiz Solution Pvt Ltd

Harshit Mishra

Cloud Computing · Fresher

Capstone projects gave me strong interview confidence.

Placed at → Match Best Software Pvt Ltd

Student Success Stories

Real learners. Real transformations.

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Student 6 Student 5 Student 4 Student 3 Student 2 Student 1
Student 6 Student 5 Student 4 Student 3 Student 2 Student 1
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