This qualification equips learners with end-to-end capability in social media marketing, with a strong emphasis on the integration of artificial intelligence (AI) across all stages of campaign planning and execution.
Learners develop the skills to design platform-specific strategies, create AI-enhanced content, build and manage organic communities, paid social media advertising campaigns, and conversion rate optimisation using AI data-driven techniques.
The course reflects current industry practice, including the use of automation and AI-powered social media tools to enhance efficiency, personalisation, and return on investment.
The Resource Fee covers equipment and resources used in the delivery of your course at KCBT
(Those students who do not meet the minimum English requirement will need to package this program with an English Course before proceeding to this qualification).
| NAT11426001 | Plan, create and optimise marketing content with artificial intelligence |
| NAT11426002 | Plan, conduct and optimise organic social media marketing with artificial intelligence |
| NAT11426003 | Plan, implement and optimise paid social media advertising with artificial intelligence |
| NAT11426004 | Plan, implement and manage social media conversion rate optimisation with artificial intelligence |
| SIRXMKT006 | Develop a social media strategy |
| BSBMKG552 | Design and develop marketing communication plans |
| BSBPMG430 | Undertake project work |
| BSBMKG542 | Establish and monitor the marketing mix |
All units of competence will be assessed using a selection of tools (including portfolios, reports, role-plays, observations in the real simulated work environment, case studies, questioning, simulation activities, and knowledge-based assessments)
An application can be made for RPL when the learner believes that they have already attained the necessary skills and competencies elsewhere (work, other study etc.). The RPL policy, procedure and application form is available from the reception upon request or on the college website (https://kcbt.edu.au/students/forms/).
Learners will be required to provide evidence to support their application. The application will be processed and assessed in accordance with the KCBT RPL and recognition Policy and Procedure. Assessment includes a challenge test of skill demonstration in a simulated or real work environment.
Learners, who can demonstrate they already hold any of the Units of Competency specified above, may be eligible to receive a credit transfer for those units. They will need to submit a verified Certificate or Statement of Attainment issued by a RTO for recognition purposes.
Please complete RPL or Credit Transfer or Exemption Form (https://kcbt.edu.au/students/forms/) and attach detailed evidence of your relevant experience / study, completed academic transcripts and official unit description(s) to your application.
Learners who are awarded a credit transfer will be exempted from completing those units at KCBT and this will be recorded on the system as a variation.
Employment opportunities resulting from the completion of this course may include following job roles:
After achieving the 11426NAT Diploma of Social Media Marketing with Artificial Intelligence, learners may undertake:
Apply online and open up a world of opportunities.