Course Title: Build and deploy resources on cloud platforms

Part A: Course Overview

Program: C5405 Diploma of Project Management

Course Title: Build and deploy resources on cloud platforms

Portfolio: Vocational Education

Nominal Hours: 60

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Course Contact: Nick Reynolds

Course Contact Phone: +61 3 99250791

Course Contact Email: nick.reynolds@rmit.edu.au



Course Description

This unit describes the skills and knowledge required to configure, deploy and monitor a range of technology resources of core cloud computing service on a cloud platform.

The unit applies to cloud engineers, cloud systems administrators and those who work within cloud computing operations to provision, implement and maintain cloud computing solutions for a business with little guidance or supervision. These ICT professionals may work from designs developed by cloud architects and focus on operational concerns, including automation and maintaining cloud resources.

No licensing, legislative or certification requirements apply to this unit at the time of publicatio

Pre-requisite Courses and Assumed Knowledge and Capabilities

Nil



National Competency Codes and Titles

National Element Code & Title:

ICTCLD507 Build and deploy resources on cloud platforms

Elements:

1. Prepare to deploy a cloud resource

2. Deploy and configure the cloud resource

3. Test the cloud resource

4. Document and finalise task


Learning Outcomes


Overview of Assessment

Performance Evidence

The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, and to:

  • deploy and configure at least 6 of the following different types of cloud resources, including but not limited to
  • virtual machines
  • container services
  • load balancers and autoscaling
  • serverless functions
  • API gateways
  • block or object storage
  • managed databases
  • DNS
  • content delivery networks.

 

In the course of the above, the candidate must:

  • use cloud management console, cloud software development kits or command line tools
  • develop and execute test plans and demonstrate successful task completion
  • consider procedural improvements to produce repeatable and automated deployments by reducing manual processes.

Knowledge Evidence

The candidate must demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit. This includes knowledge of:

  • industry technology standards used in cloud computing solutions and services
  • industry standard hardware and software products, their general features, capabilities and applications
  • testing and debugging techniques of cloud resources and technologies
  • purpose, benefits and features of cloud-based:
  • virtual machines and containers services
  • API gateways and serverless computing
  • load balancing and autoscaling
  • block and object storage
  • managed databases
  • DNS and content delivery networks
  • resource logging, monitoring and alerting tools
  • repeatable and automated provisioning with
  • software development kits
  • command line tools
  • infrastructure as code services.

Feedback

Feedback will be provided throughout the semester in class and/or online discussions.  You are encouraged to ask and answer questions during class time and online sessions so that you can obtain feedback on your understanding of the concepts and issues being discussed. Finally, you can email or arrange an appointment with your teacher to gain more feedback on your progress.

You should take note of all feedback received and use this information to improve your learning outcomes and final performance in the course.