DevOps & Cloud · Project-Based Training

Cloud Deployment Fundamentals

Proposed course differentiating foundational DevOps from advanced cloud platform engineering. Platform-specific depth and resource access are confirmed only when a cohort opens.

  • Containers
  • Cloud fundamentals
  • Logging/monitoring basics
  • Secrets hygiene
  • Git
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This is fee-based Project-Based Training — not a paid internship. Registering interest is not enrollment and does not collect payment. Fee details will be shared before enrollment.

Overview

Program facts

Duration
1 month
Level
Intermediate
Weekly commitment
Approximately 8–12 hours per week (subject to final schedule)
Delivery
Online
Availability
Coming soon — interest registration available
Fee
Fee details will be shared before enrollment
Mentor / supervisor
Instructor or delivery owner assigned before open enrollment.
Delivery owner
Assigned before enrollment opens
Certificate policy
Certificate policy confirmed at enrollment open.

Learner cloud spend is not assumed. Any required expenses will be disclosed before enrollment.

Fit

Audience, prerequisites, and selection

Audience

  • Learners who already understand containers and CI basics

Prerequisites

  • Docker fundamentals
  • Git and Linux basics
Curriculum

Curriculum

Curriculum status: forthcoming / proposed. Topics below are indicative and not a finalized enrollment curriculum until marked approved.

  • Cloud fundamentalsfoundational
  • Infrastructure as code orientationadvanced
  • Deployment automationadvanced
  • Logging and monitoringadvanced
  • Secrets managementadvanced
Outcomes

Learning outcomes

  • Deploy a sample workload using documented steps
  • Explain monitoring and secrets practices for that deployment
Project

Project specification

Document and demonstrate a safe deployment path for a containerized sample app with monitoring and secrets hygiene.

Problem statement · Illustrative
A containerized sample workload needs a documented deployment path with basic health visibility and secrets hygiene.
Primary user workflow · Illustrative
Prepare configuration → deploy or document deploy steps → verify a health check → record monitoring and rollback notes.
Functional scope · Illustrative
Cloud fundamentals orientation, deployment automation basics, logging/monitoring notes, and secrets handling checklist.
Technical components · Illustrative
Containerized sample app, environment configuration, health check, and operational documentation.
Data requirements · Illustrative
No production customer data. Secrets never committed to source control.
Testing expectations · Illustrative
Documented happy-path deploy or dry-run, failed health-check response plan, and secrets checklist completion.
Known limitations · Illustrative
Not multi-region SRE practice. Specific cloud vendors and paid quotas are confirmed only for open cohorts.
What counts as completion · Illustrative
Documented deployment, monitoring notes, secrets checklist, and a demonstration of the delivery path.

Examples

  • Documented deployment of a containerized app with basic monitoring

Deliverables

  • Deployment documentation
  • Monitoring / health-check notes
  • Secrets hygiene checklist

Example or assigned project work—not a published student achievement or employment guarantee. Student work is not assumed for commercial use without appropriate agreements. Sections marked illustrative are representative examples, not a fixed commercial brief.

Assessment

Evaluation criteria

How work is reviewed — clarity of decisions matters as much as a working MVP.

  • Deployment demo and documentation rubric

Evaluation focuses on observable engineering evidence. Exact rubrics are published per program when approved.

  • 01

    Main workflow correctness

    Does the primary user journey work as specified?

  • 02

    Code comprehension

    Can the participant explain what the code does and why?

  • 03

    Architecture explanation

    Are component boundaries and trade-offs articulated clearly?

  • 04

    Input validation

    Are invalid inputs rejected or handled safely?

  • 05

    Testing

    Are expected behavior and at least one failure mode checked?

  • 06

    Edge-case handling

    Does the work account for realistic non-happy-path conditions?

  • 07

    Documentation

    Can another engineer set up, run, and understand the MVP?

  • 08

    Demonstration

    Is the working result shown with an honest account of limitations?

Frequently asked questions

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