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AI+ Pharma™

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  • Harness AI in Pharma™ to speed drug discovery, optimize trials, and enable precision therapies
  • Assess your skills before enrolling
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$85.00

Intermediate
AI+ Pharma.
24h
1 Year.
$85.00
Training 5 or more people?
Get a Quote

Transform pharma with AI™ for smarter therapies.

Revolutionize Healthcare Expertise with AI+ Pharma™ 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
  • Bridges AI and Life Sciences: Connects core AI skills with pharmaceutical R&D, clinical workflows, and regulatory realities to make you truly industry-ready.
  • Speeds Drug Discovery & Development: Equips you to apply AI for target identification, molecule screening, and trial optimization, shortening development cycles.
  • Enhances Decision-Making in Healthcare: Enables data-driven decisions using AI models for risk assessment, patient stratification, and treatment optimization.
  • Increases Career Opportunities in Pharma & Healthtech: Positions you for emerging roles at pharmaceutical companies, biotech startups, CROs, and AI-driven health platforms.
  • Prepares You for the Future of Precision Medicine: Builds the skills to contribute to personalized therapies, adaptive clinical pathways, and AI-augmented healthcare ecosystems.

Course Curriculum

Module 1: AI Foundations for Pharma
1.1 AI and Machine Learning Basics 1.2 AI Algorithms and Models 1.3 Use Case: Predictive Modeling for Adverse Drug Reactions and Drug-Drug Interactions Using Historical Patient Datasets 1.4 Hands-on: Build Predictive Models Using No-Code Tool (Teachable Machine)

Module 2: AI in Drug Discovery and Development
2.1 AI in Molecular Drug Design 2.2 AI in Drug Repurposing 2.3 Use Case: AI-Driven Drug Repurposing Successes (COVID-19 Therapeutics) 2.4 Hands-On: Practical AI-Driven Molecular Design and Drug Repurposing Using Orange Data Mining Tool 2.5 Hands-On 2: Exploring Disease-Drug Associations with EpiGraphDB

Module 3: Clinical Trials Optimization with AI
3.1 AI-Enhanced Patient Recruitment 3.2 Clinical Data Management and Monitoring 3.3 Use Case: Pfizer’s AI-Driven Analytics for Optimizing Clinical Trials 3.4 Hands-on: Implementing Clinical Data Analytics Using No-Code Platforms (KNIME)

Module 4: Precision Medicine and Genomics
4.1 Personalized Treatment Strategies 4.2 Biomarker Discovery 4.3 Case Study: AI-Assisted Biomarker Discovery and Validation in Cancer Treatments 4.4 Hands-on: Hands-On Genomic Analysis – Exploring AI-Driven Genomic Interpretation Using CBioPortal

Module 5: Regulatory and Ethical AI in Pharma
5.1 Ethical Considerations and AI Governance 5.2 AI Compliance and Regulatory Frameworks 5.3 Case Study: Analyzing Ethical and Regulatory Challenges Encountered in Major AI-Driven Pharma Initiatives 5.4 Hands-on: Developing AI Governance Strategies Based on Ethical Frameworks 5.5 Hands-on: Literature Mining with LitVar 2.0

Module 6: Implementing AI in Pharma Projects
6.1 AI Project Management 6.2 Evaluating AI Tools and ROI 6.3 Hands-On: Practical AI Project Management Using Airtable for Tracking, Collaboration, and Management

Module 7: Future Trends and Sustainability in Pharma AI
7.1 Emerging AI Technologies in Pharma 7.2 AI for Sustainable Healthcare 7.3 Case Study: Analysis of Sustainability Initiatives Driven by AI in Pharmaceutical Industry Leaders 7.4 Hands-on: Scenario Planning and Predictive Analytics Using Dashboards for Future-Focused Decision Making

Module 8: Capstone Project
8.1 Capstone Project 1: Predictive Modeling for Adverse Drug Reactions in Polypharmacy 8.2 Capstone Project 2: AI-Enhanced Clinical Trial Recruitment and Retention 8.3 Capstone Project 3: AI-Powered Drug Design for Rare Diseases 8.4 Capstone Project Evaluation Scheme

Learning Objectives

  • The AI+ Pharma Certification equips you with cutting-edge knowledge at the
  • intersection of artificial intelligence and pharmaceutical sciences.
  • You will explore AIdriven innovations in drug discovery, clinical trials, precision medicine, and
  • healthcare data analytics.
  • This certification provides you with practical insights into applying machine learning, predictive modeling, and automation to enhance R&D efficiency and ensure regulatory compliance.
  • Designed specifically for pharma executives, researchers, and healthcare technologists, the certification empowers you to leverage AI for improved patient outcomes, optimized drug pipelines, and strategic decision-making in the evolving life sciences landscape.
  • It bridges your technical expertise with pharmaceutical domain knowledge, enabling you to make a transformative impact in the industry.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Pharmacy & Life Sciences Students.
  • Pharmaceutical & Biotech Professionals.
  • Healthcare & Medical Practitioners.
  • Data scientists & AI Engineers.
  • Healthtech & Medtech Innovators.

Job Roles & Industry Outlook 

Al Pharma Data Scientist
Apply machine learning to clinical, genomic, and real-world evidence data to discover patterns, predict outcomes, and guide drug development strategies.
Drug Discovery Machine Learning Engineer
Build and optimize ML pipelines for target identification, molecular modeling, and virtual screening to accelerate early-stage drug discovery.
Pharma Al Product Manager
Define vision, roadmap, and requirements for Al-enabled pharma solutions that support R&D, medical affairs, and commercial decision-making.
Chief Al & Pharma Innovation Officer (CAIO)
Lead enterprise-wide Al adoption in pharma, aligning data, technology, and teams to drive smarter, faster, and more precise therapies.
Clinical Al Specialist
Design and validate Al models for patient stratification, trial recruitment, safety monitoring, and response prediction in clinical research settings.

Exam Information

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

AI Foundations for Pharma – 7%
AI in Drug Discovery and Development – 15%
Clinical Trials Optimization with AI – 15%
Precision Medicine and Genomics – 15%
Regulatory and Ethical AI in Pharma – 12%
Implementing AI in Pharma Projects – 12%
Future Trends and Sustainability in Pharma AI – 12%
Capstone Project – 12%

Explore our Schedules

Jun 7- Jun 9
GMT 09:00 AM - 05:00 PM
In-person
Medina
724.5$
3 Days
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Oct 11- Oct 13
GMT 09:00 AM - 05:00 PM
In-person
Riyadh
724.5$
3 Days
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Jun 7- Jun 9
GMT 09:00 AM - 05:00 PM
In-person
Doha
724.5$
3 Days
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Nov 1- Nov 3
GMT 09:00 AM - 05:00 PM
In-person
Doha
724.5$
3 Days
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Jul 5- Jul 7
GMT 09:00 AM - 05:00 PM
In-person
Dubai
724.5$
3 Days
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Nov 15- Nov 17
GMT 09:00 AM - 05:00 PM
In-person
Abu Dhabi
724.5$
3 Days
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Jun 7- Jun 9
GMT 09:00 AM - 05:00 PM
In-person
Kuwait
724.5$
3 Days
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Oct 11- Oct 13
GMT 09:00 AM - 05:00 PM
In-person
Kuwait
724.5$
3 Days
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Jun 7- Jun 9
GMT 09:00 AM - 05:00 PM
In-person
Muscat
724.5$
3 Days
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Nov 1- Nov 3
GMT 09:00 AM - 05:00 PM
In-person
Muscat
724.5$
3 Days
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Jun 3- Jun 10
GMT 06:00 PM- 10:00 PM
LVT
Zoom
396.8$
6 Days
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Aug 2- Aug 4
GMT 09:00 AM - 05:00 PM
In-person
Cairo
369.6
3 Days
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Certificate of Completion

AI+ Pharma.

$85.00

Intermediate
AI+ Pharma.
24h
1 Year.
$85.00
Training 5 or more people?
Get a Quote

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