AI+ Pharma Practitioner™

Formerly known as AI+ Pharma™ <br> <br> Harness AI in Pharma to speed drug discovery, optimize trials, and enable precision therapies.

Certificate Code: AP 1405

About This Course

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

Certificate Overview

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

Instructor-Led: 1 day (live or virtual)
Self-Paced: 8 hours of content

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.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Course Modules

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