Master in Cloud Computing – 9 Months Program
Expert Level | Projects + Certification + Enterprise Simulation
Month 1
Core Foundations – Linux, Networking & Infrastructure
Core Foundations – Linux, Networking & Infrastructure
Linux Internals
- Processes, Memory, File Systems, Permissions, Systemd
- Advanced shell scripting (Bash, AWK, Sed, Cron jobs)
- SSH hardening & access control
Networking Fundamentals
- TCP/IP, DNS, HTTP/HTTPS, Load Balancing
- OS-level security basics
Hands-On Lab
- Hardened Ubuntu Server setup
- Secure NGINX web server deployment
- Reverse proxy & load balancer configuration
Month 2
Cloud Fundamentals – AWS & Azure from Scratch
Cloud Fundamentals – AWS & Azure from Scratch
AWS Core
- EC2, VPC, IAM, S3, ALB, Auto Scaling
- Cloud networking & identity design
- Cost optimization & tagging strategies
Azure Core
- VM, VNets, NSG, Azure Storage
- Multi-tier architecture for enterprise workloads
Month 3
Containerization & Kubernetes Engineering
Containerization & Kubernetes Engineering
Docker
- Docker internals & image optimization
- Hands-on containerized applications
Kubernetes
- Kubernetes architecture (API Server, Scheduler, etcd)
- Helm charts, Ingress controllers
- Stateful vs Stateless workloads
- Project: Kubernetes-based microservices deployment
Month 4
CI/CD & DevOps Automation
CI/CD & DevOps Automation
Tools & Pipelines
- GitHub Actions, Jenkins, GitLab CI
- Infrastructure as Code (Terraform)
- Configuration management (Ansible)
- Blue-Green & Canary deployments
Month 5
DevSecOps – Security Embedded into Pipelines
DevSecOps – Security Embedded into Pipelines
Security Practices
- SAST, DAST, SCA
- Secrets management (Vault)
- Container security (Trivy, Aqua)
- Kubernetes RBAC & Network Policies
- Compliance automation
Month 6
Observability, Reliability & AIOps Foundations
Observability, Reliability & AIOps Foundations
Monitoring Tools
- Prometheus & Grafana
- ELK Stack (Elasticsearch, Logstash, Kibana)
- Distributed tracing (Jaeger)
- SLA, SLO, Error Budgets
- Introduction to AIOps
Month 7
MLOps – Machine Learning in Production
MLOps – Machine Learning in Production
ML Pipelines
- ML pipelines (training, validation, deployment)
- Model versioning (MLflow)
- Feature stores, K8s-based ML serving
- CI/CD for ML models
- Project: Retail Analytics model deployment
Month 8
LLMOps – Managing Large Language Models
LLMOps – Managing Large Language Models
Deployment Pipelines
- LLM deployment pipelines
- Model fine-tuning workflows
- Vector databases (Pinecone, FAISS)
- Prompt engineering pipelines
- API gateways for AI services
- Enterprise Scenario: Deloitte-style internal AI assistant
Month 9
Capstone Projects & Enterprise Simulation
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 docs, GitHub repos, monitoring dashboards, security & cost reports, production deployment
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 Skill 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
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