Artificial Intelligence and Machine Learning Courses

AI+ Pharma Practitioner - Self-paced

  • Length 365 days access
  • Price  NZD 500 exc GST
  • Inclusions Online exam
Course overview
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Why study this course

The AI+ Pharma Practitioner course is designed for pharmaceutical professionals, healthcare researchers, and healthcare managers seeking to leverage AI across drug development and healthcare innovation. The course delivers practical, industry-focused capabilities that enable these professionals to apply AI in drug discovery, clinical trials optimisation, and precision medicine, enhancing efficiency, accuracy, and innovation in pharmaceutical operations.

Throughout the course, learners explore core topics including AI fundamentals, machine learning, predictive modelling, and their applications in molecular drug design, clinical data management, and personalised treatment strategies, supported by real-world case studies and hands-on projects using no-code tools. With a strong emphasis on practical application, the course equips students with the experience to implement AI solutions, improve decision-making, and drive data-driven transformation across pharmaceutical and healthcare environments.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

  • 90 minutes

  • 50 multiple choice / multiple response questions

  • Pass mark is 35 out of 50 (i.e. 70%)

  • Online via AI Proctoring platform

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What you’ll learn

Through this course, students will be able to:

  • Understand of how artificial intelligence transforms pharmaceutical innovation and healthcare delivery.

  • Develop expertise in AI driven drug discovery, clinical trial optimisation, precision medicine, and ethical AI governance.

  • Acquire practical skills in predictive modeling, data analytics, and project implementation using real-world tools and case studies.

  • Learn how to integrate AI solutions within pharmaceutical operations, enhance decision-making, and promote sustainable, data-driven healthcare practices.

  • Develop the skills to connect technology with life sciences, enabling them to create innovative solutions, ensure compliance with regulations, and improve efficiency in a rapidly changing global environment.


AI CERTs Authorized Training Partner Platinum logo Oct 2025

AI CERTs at Lumify Work

AI CERTs® stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is a Platinum Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.


Who is the course for?

This course is intended for:

  • Pharmacy & Life Sciences Students

  • Pharmaceutical & Biotech Professionals

  • Healthcare & Medical Practitioners

  • Data scientists & AI Engineers

  • Health tech & Medtech Innovators


Course subjects

Module 1: AI Foundations for Pharma
Module 2: AI in Drug Discovery and Development
Module 3: Clinical Trials Optimization with AI
Module 4: Precision Medicine and Genomics
Module 5: Regulatory and Ethical AI in Pharma
Module 6: Implementing AI in Pharma Projects
Module 7: Future Trends and Sustainability in Pharma AI
Module 8: Capstone Project
Module 9: AI Agents in Pharma Value Chain


Prerequisites

  • Understand fundamental human biology concepts.

  • Familiarity with drug development and approval processes.

  • Grasp core principles of artificial intelligence.

  • Ability to interpret and analyze datasets.

  • Understand ethics in AI-driven healthcare applications. .


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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