AI+ Pharma Practitioner™
- Price 109 EUR + VAT
- E-learning Start any time
- Duration 8 hours of content, self-paced
- Language English
- Topic AI Healthcare
How you can take it
- E-learning Start any time · 109 EUR + VAT Order
- Open course Not available in this format
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Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
Revolutionize Healthcare Expertise with AI+ Pharma Practitioner™ for Smarter, Data-Driven Decisions
- Beginner-Friendly Pathway: Ideal for learners and professionals entering the world of AI in pharmaceuticals, offering clear fundamentals and easy-to-grasp concepts
- Integrated Learning Experience: Combines core pharma knowledge with intuitive AI tools, real-world case studies, and guided practice to strengthen analytical and operational skills
- Industry-Focused Growth: Equips you with practical projects, scenario-based exercises, and actionable insights to help you apply AI in drug development, research, compliance, and patient-centric solutions
Prerequisites
Requires basic biology knowledge, familiarity with pharmaceutical development and regulatory fundamentals, foundational understanding of AI and machine learning, essential data analytics skills, and strong awareness of ethical considerations in AI-powered healthcare.
Audience
Who is it for
Pharmacy & Life Sciences Students: Learners who want to complement their pharma or biotech background with practical AI skills.
Pharmaceutical & Biotech Professionals: R&D, clinical, or regulatory teams aiming to apply AI in drug discovery, trials, and safety.
Healthcare & Medical Practitioners: Doctors, clinicians, and healthcare managers interested in AI-driven decision support and precision therapeutics.
Data scientists & AI Engineers: Technical professionals looking to specialize in pharma, healthcare analytics, and intelligent drug development pipelines.
Healthtech & Medtech Innovators: Entrepreneurs, product managers, and consultants building AI-powered solutions for pharma, clinical research, and digital health.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
Module 1: AI Foundations for the Pharma Practitioner
- 1.1 Core AI & ML Concepts
- 1.2 Generative AI in Pharmaceutical Workflows
Module 2: AI-Driven Drug Discovery & Molecular Design
- 2.1 Next-Gen Molecular Drug Design
- 2.2 AI-Powered Drug Repurposing & Target Identification
- 2.3 AI for Natural Product & Peptide Discovery
Module 3: AI-Optimized Clinical Trials
- 3.1 AI-Enhanced Patient Recruitment
- 3.2 Decentralized and AI-Augmented Trial Operations
- 3.3 Adaptive Trial Design with AI
Module 4: Precision Medicine, Genomics & Multi-Omics AI
- 4.1 AI for Multi-Omics Data Integration
- 4.2 AI-Driven Personalized Treatment & Companion Diagnostics
- 4.3 AI for Rare Disease & Orphan Drug Development
Module 5: AI in Regulatory Affairs, Medical Writing & Pharmacovigilance
- 5.1 AI-Powered Regulatory Intelligence
- 5.2 Generative AI for Medical and Regulatory Writing
- 5.3 AI in Pharmacovigilance and Safety Surveillance
Module 6: AI Ethics, Governance & Responsible AI in Pharma
- 6.1 Ethical AI Principles in Pharma
- 6.2 AI Governance Frameworks and Compliance
Module 7: Emerging Technologies & Future of Pharma AI
- 7.1 AI + Quantum Computing in Drug Discovery
- 7.2 AI-Enabled Digital Biomarkers & Wearables
- 7.3 AI for Sustainable & Patient-Centric Pharma
Module 8: Capstone Project
- 8.1 Capstone Project 1 – AI-Driven Drug Repurposing for Rare Diseases
- 8.2 Capstone Project 2 – AI-Powered Patient Stratification for Adaptive Clinical Trials Using a Clinical Trials Simulator GPT
- 8.3 Capstone Project 3 – Predictive Pharmacovigilance Using Machine Learning
Optional Module: AI Agents for Pharma
- 1.1 What are AI Agents?
- 1.2 How Does an AI Agent Work in the Pharma Value Chain
- 1.3 Core Characteristics of AI Agents
- 1.4 Importance of AI Agents (General + Pharma)
- 1.5 Significance of AI Agents in Pharma
- 1.6 Types of AI Agents?
- 1.7 Applications and Trends in Pharma
- 1.8 Case Study: Accelerated Lead Optimization with a Generative AI Agent
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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