Expose only what must be public
DNS ↓ TLS load balancer ↓ private application ↓ private data
Learn how production cloud infrastructure fits together before memorizing service consoles: deployment and service models, temporary identity, dual-stack VPC networking, VM/container/serverless compute choices, storage, load balancing, DNS/TLS/CDN delivery, managed databases and disaster recovery, security/governance, observability, FinOps and Terraform/OpenTofu-safe change management. Core labs run locally and do not require a cloud account.
0 of 12 curriculum modules completed · 0/12 currently published modules complete · 0 with lab + knowledge-check evidence.
The course is AWS-first for concrete examples, but the mental models transfer: identity, routing, execution, storage, recovery, security boundaries, telemetry, cost and controlled infrastructure changes.
DNS ↓ TLS load balancer ↓ private application ↓ private data
Git + IaC ↓ reviewed plan ↓ controlled apply ↓ verify / rollback
Understand cloud service models, regions and availability zones, elasticity, resilience, and how security responsibilities change as services become more managed.
Open module →02Learn identities, roles, policies, temporary credentials, least privilege, MFA and why workloads should not embed long-lived cloud access keys.
Open module →03Build a practical networking mental model for CIDR, usable addresses, route-table association and longest-prefix matching, public/private paths, NAT/endpoints, IPv6, VPC interconnects, and stateful versus stateless controls.
Open module →04Compare VM, container, managed-container and serverless execution models, then learn images, bootstrap, instance families, lifecycle and health-driven autoscaling.
Open module →05Choose storage by access pattern: block devices for attached volumes, shared filesystems for file semantics, and object storage for API-addressed durable objects.
Open module →06Understand L4 versus L7 load balancing, health checks, multi-AZ failure domains and how load balancing integrates with autoscaling.
Open module →07Follow application traffic from DNS name resolution through TLS endpoints and CDN caching to an origin or load balancer.
Open module →08Understand managed relational databases, NoSQL basics, backups, Multi-AZ availability, read replicas and secure database connectivity.
Open module →09Apply layered network, identity, encryption, key, secret and audit controls with explicit security boundaries.
Open module →10Connect metrics, logs and audit trails to operational health, then use tagging, budgets and basic FinOps controls to keep cloud usage accountable.
Open module →11Connect Terraform fundamentals to cloud providers, credentials, remote state, plans, policy checks and CI/CD without teaching unsafe static-key workflows.
Open module →12Integrate networking relationships, allowed flows, recovery objectives, risk-to-control mappings, observability, cost and controlled IaC into a machine-checked production-shaped architecture.
Open module →These mappings are orientation aids, not claims that services are feature-identical. Check current provider documentation, regional availability, quotas and pricing before implementation.
Every module keeps the core path account-free. Optional AWS sections are clearly separated and are not used by the main validator.
Architecture reasoning, calculations, decision tables and failure analysis. Always available.
Python/bash/files simulate CIDR, longest-prefix routing, stateful/stateless filtering, scaling, recovery, telemetry, cost and capstone controls without AWS credentials.
Read-only AWS CLI exercises expose real routes, endpoints, service metadata and control-plane evidence. Each module states resources created, cost/risk, verification and cleanup.
Linux/networking basics are recommended. Git, Docker, Kubernetes and Terraform courses deepen related topics but are not mandatory to begin.
Linux, macOS, or Windows 11 with WSL2. The heredoc/bash examples assume a POSIX-style shell.
bash, Python 3 and standard command-line utilities. Terraform itself is not required until you choose to extend the IaC exercises.
AWS CLI v2 plus an authorized sandbox account. Prefer federated/temporary credentials. Real AWS credentials are never required for assessment or the main validation script.
The assessment selects 30 questions from an 84-question bank covering foundations/shared responsibility, IAM, networking, compute/scaling, storage/data, security/reliability, and operations/cost/IaC. The bank includes scenario questions as well as core concept checks. Pass mark: 75%. Time limit: 35 minutes.
Maximum two attempts per 24 hours. Learning and assessment are free. A passing result enables the optional ₹499 GST-inclusive Certificate of Successful Completion pathway.
Module 12 validates tier CIDRs, explicit allowed flows, no public data-tier path, numeric RTO/RPO evidence, risk-to-control mappings, multi-zone design, ownership/cost controls and reviewed IaC delivery. A seven-part rubric then scores the quality of the design evidence.