Overview

Master AI & Machine Learning for 50% Off

Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.

This course trains pharmacists and pharmacy students to use AI critically and transparently in dispensing, medicines review, prescribing, clinical communication, and study. Learners apply verification, appraisal, tool-evaluation, academic-integrity, and reflective-practice frameworks with documented override points.

Syllabus

Apply a human-in-the-loop verification protocol with documented override capability in AI-assisted dispensing workflows, and use the PBS verification checklist to audit AI-generated claiming outputs including biologics authority scripts.
Conduct an AI-assisted medicines review using a five-step appraisal protocol, apply a structured patient communication framework for AI-informed clinical decisions, and triage AI-generated medicines queries using the MI evaluation standard with defensible documentation.
Apply the 6-step AI-supported prescribing workflow with documented override points, use the AI tool evaluation framework to assess AI tools proposed for practice adoption, and develop a personal AI career resilience strategy for emerging leadership roles.
Complete a structured final reflective practice statement suitable for CPD portfolio submission, documenting key learning from the course and at least one specific change to AI use in practice
Apply evidence-informed AI study strategies that enhance clinical reasoning without substituting it, identify the five pharmacy-specific AI failure modes most likely to mislead students, and formulate a personal three-commitment statement with a progressive AI literacy documentation strategy across the pharmacy training pipeline.
Apply the 6-step AI-supported prescribing workflow with documented override points, use the AI tool evaluation framework to assess AI tools proposed for practice adoption, and develop a personal AI career resilience strategy for emerging leadership roles.
Articulate the professional identity framework of the AI-augmented pharmacist, distinguishing AI-augmented practice from AI-dependent practice and describing the three commitments of critical evaluation, transparent documentation, and continuous learning.
Complete a structured final reflective practice statement suitable for CPD portfolio submission, documenting key learning from the course and at least one specific change to AI use in practice.
Describe at least five documented contemporary challenges facing pharmacy students in 2026, explain how AI tool proliferation intersects with each challenge domain, and articulate the six-category AI use classification framework and three-question academic integrity decision protocol for pharmacy education contexts.
Apply evidence-informed AI study strategies that enhance clinical reasoning without substituting it, identify the five pharmacy-specific AI failure modes most likely to mislead students, and formulate a personal three-commitment statement with a progressive AI literacy documentation strategy across the pharmacy training pipeline.