Cloud & DevOps

Build. Deploy. Operate. Improve.

Learn cloud application engineering as a complete delivery system—from compute and serverless to APIs, data, CI/CD, containers, infrastructure automation and observability.

Explore cloud program →See DevOps track

Cloud platform and connected applications

90-day cloud career program

Application Development on Google Cloud & AI

A connected pathway from classroom learning to demonstrable industry readiness: technical training, certification preparation and a mentored project delivered over 90 days.

90day pathway

60hguided hours

30guided sessions

3career outcomes: train, certify, intern

MODULE 018 guided hours

Cloud Foundations

Turn cloud concepts into a live application using hierarchy, IAM, compute and networking.

Resource hierarchy & Cloud Shell
Least-privilege IAM
Compute Engine, disks & SSH
Firewall, ports & health checks

MODULE 028 guided hours

Serverless Applications

Move source code into managed revisions, secrets, scaling and event-driven functions.

Cloud Run
Artifact Registry
Secret Manager
Runtime identity & traffic

MODULE 038 guided hours

Data & Storage

Compare object, document, relational and analytical services using real access patterns.

Cloud Storage
Firestore
Cloud SQL
BigQuery

MODULE 048 guided hours

Events & APIs

Trace a request across secured APIs and asynchronous processing pipelines.

API Gateway
Pub/Sub
Retries & failure ownership
Correlation evidence in logs

MODULE 058 guided hours

AI as an Application Capability

Call Gemini through Vertex AI, request structured output and design safe fallbacks.

Prompt & parameter design
Validated structured output
Secure runtime identity
Privacy, safety & human review

PHASE 2 + 320 guided hours

Certification + Mentored Delivery

Scenario-led review, mocks, remediation and a capstone delivered through two mentored sprints.

Associate-level exam reasoning
Architecture & security review
Testing & operations runbook
Final demo, viva & portfolio handoff

DevOps engineering track

Turn deployment into a repeatable system

Our DevOps track can be delivered as a standalone bootcamp or integrated into a cloud pathway. The emphasis is on engineering habits learners can demonstrate in a repository and working pipeline.

Suggested modular DevOps track

Adaptable for college cohorts, early-career engineers and application teams.

Git & Linux workflowBranches, pull requests, shell basics and reproducible environments.

ContainersDockerfiles, images, registries and runtime configuration.

CI/CDBuild, test, scan and deployment pipelines with quality gates.

Infrastructure as CodeTerraform foundations, variables, state and repeatable provisioning.

Kubernetes foundationsWorkloads, services, configuration, scaling and deployment strategies.

Observability & operationsLogs, metrics, health checks, incident thinking and continuous improvement.

Student value

Finish with a portfolio, not just attendance

A strong cloud learner should be able to show a live deployment, explain architecture choices, present a clean repository and demonstrate operational evidence.

✓

Working deploymentA live cloud application with health and failure paths.

✓

Architecture storyA clear explanation of services, trust boundaries and trade-offs.

✓

Professional repositoryREADME, setup, configuration and no embedded secrets.

✓

Operations evidenceLogs, tests, runbook, common failures and remediation.

Application Development on Google Cloud and AI

Build a cloud and DevOps pathway for your cohort.

We can align delivery to academic calendars, lab readiness and target student outcomes.

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