The 10991NAT Diploma of Applied Blockchain Merging Machine Learning and Artificial Intelligence consists of eight units – six core and two electives. Students will gain an in-depth understanding in the area of applied blockchain and its merging with IoT, machine learning and Artificial Intelligence within broad but generally well-defined parameters.

10991NAT Diploma of Applied Blockchain Merging Machine Learning and Artificial Intelligence

COURSE STRUCTURE
ENTRY REQUIREMENTS
EMPLOYMENT OUTCOMES
STUDY METHODS
COURSE STRUCTURE

Core Units
  • NAT10991001 Apply blockchain technology to support the scalability of Artificial Intelligence
  • NAT10991002 Merge Internet of Things and blockchain to facilitate interoperability and machine learning
  • NAT10991003 Use machine learning and predictive analytics on a blockchain
  • NAT10991004 Develop a Strategic framework to apply machine learning to Artificial Intelligence
  • NAT10991005 Plan for the application of Artificial Intelligence
  • NAT10991006 Plan for Artificial Intelligence implementation
Elective Units
  • NAT10991007 Apply ethical and Trustworthy Artificial Intelligence
  • NAT10991008 Develop a big data strategy for machine learning within the Internet of Things
  • NAT10849007 Apply blockchain to the Internet of Things
  • NAT10849005 Apply big data to blockchain marketing strategies

ENTRY REQUIREMENTS

Learners must have vocational experience at a management or team leader level and must be able to demonstrate an understanding of:

  • basic blockchain and distributed ledger technologies; and
  • basic report writing

Learners without vocational experience at the management or team leader level

must attend an interview prior to enrolment to determine their prospects for

success. In this interview they must demonstrate:

  • a basic understanding of blockchain and distributed ledger

technologies; and

  • a basic understanding of report writing methods
  • High-level language, literacy and numeracy levels Equivalent to IELTS 6.00

and sufficient to interpret complex documents and prepare written reports

EMPLOYMENT OUTCOMES

The course outcomes for graduates will vary depending on existing qualifications and experience. In general, this course is intended to provide participants with the following vocational outcomes:

  • Management or operational roles within an organisation implementing new business models that incorporate blockchain technologies to create value, efficiencies and new opportunities through the Internet of Things (IoT) Machine Learning (ML) and Artificial Intelligence (AI)
  • Management or operational roles within an organisation implementing disruptive business systems that enable the application of blockchain technologies, machine learning and Artificial Intelligence.
  • Management or operational roles within an organisation charged with developing and overseeing blockchain and data analysis teams Specialist functions and Skills 

Additionally, graduates of the course will be able to perform the following functions and specialist tasks:

  • Develop a plan for the application of Artificial Intelligence within a blockchain ecosystem.
  • Plan for the use of machine learning and predictive analytics within a blockchain ecosystem using Big Data.
  • Develop a Strategic Framework for Artificial Intelligence that merges Artificial Intelligence and machine learning within a blockchain ecosystem
  • Develop an Artificial Intelligence Implementation plan
  • Develop use cases for the application of predictive analytics and machine learning

STUDY METHODS

  • Face-to-face
  • Online learning
  • Blended face-to-face and online learning
  • Intensive Retreats

[wpforms id=”3557″ title=”false” description=”false”]