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AI+ Pharma™

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  • Harness AI in Pharma™ to speed drug discovery, optimize trials, and enable precision therapies
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$85.00

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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 

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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.
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Drug Discovery Machine Learning Engineer
Build and optimize ML pipelines for target identification, molecular modeling, and virtual screening to accelerate early-stage drug discovery.
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Pharma Al Product Manager
Define vision, roadmap, and requirements for Al-enabled pharma solutions that support R&D, medical affairs, and commercial decision-making.
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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.
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Clinical Al Specialist
Design and validate Al models for patient stratification, trial recruitment, safety monitoring, and response prediction in clinical research settings.

Exam Information

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Duration
90 minutes
Passing Score Icon-71608a
Passing Score
70% (35/50)
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Format
50 multiple-choice/multiple-response questions
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Delivery Method
Online via proctored exam platform (flexible scheduling)
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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
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Medina
724.5$
3 Days
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Oct 11- Oct 13
GMT 09:00 AM - 05:00 PM
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Riyadh
724.5$
3 Days
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Jun 7- Jun 9
GMT 09:00 AM - 05:00 PM
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Doha
724.5$
3 Days
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Nov 1- Nov 3
GMT 09:00 AM - 05:00 PM
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Doha
724.5$
3 Days
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Jul 5- Jul 7
GMT 09:00 AM - 05:00 PM
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Dubai
724.5$
3 Days
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Nov 15- Nov 17
GMT 09:00 AM - 05:00 PM
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Abu Dhabi
724.5$
3 Days
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Jun 7- Jun 9
GMT 09:00 AM - 05:00 PM
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Kuwait
724.5$
3 Days
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Oct 11- Oct 13
GMT 09:00 AM - 05:00 PM
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In-Person
Kuwait
724.5$
3 Days
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Jun 7- Jun 9
GMT 09:00 AM - 05:00 PM
In-person
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Muscat
724.5$
3 Days
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Nov 1- Nov 3
GMT 09:00 AM - 05:00 PM
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Muscat
724.5$
3 Days
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Aug 2- Aug 4
GMT 09:00 AM - 05:00 PM
In-person
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Cairo
369.6
3 Days
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Jun 7 - Jun 14
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
6 Days
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Aug 16 - Aug 23
GMT 06:00 PM - 10:00 PM
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LVT
Zoom
280$
6 Days
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Nov 1 - Nov 8
GMT 06:00 PM - 10:00 PM
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LVT
Zoom
280$
6 Days
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Dec 20 - Dec 27
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
6 Days
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Certificate of Completion

AI+ Pharma.

AI-Healthcare-Certificate-Blurred 1

$85.00

ChartBar (1)-51bd46
Intermediate
AI+ Pharma.
24h
1 Year.
$85.00
Training 5 or more people?
Get a Quote

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