AI+ Pharma Practitioner™

Kód kurzu: AP1405

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Price of the certification exam is included in the price of the course.

Formerly known as AI+ Pharma™

Harness AI in Pharma to speed drug discovery, optimize trials, and enable precision therapies.

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
Akční cena
140 EUR

172 EUR s DPH

Výber termínov

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Na vyžiadanie

Forma: Self-Paced

Dĺžka kurzu: 8 hodín

Jazyk: en

Cena bez DPH: 140 EUR Akční cena

Registrovať

Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
Na vyžiadanie Self-Paced 8 hodín en A 140 EUR Registrovať
G Garantovaný kurz
A Akční cena

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Popis kurzu

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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.

  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • SQL
  • Jupyter Notebooks
  • MLflow
  • DataBricks
  • RDKit
  • DeepChem
  • Biopython
  • Hugging Face Transformers for Biomedical NLP
  • spaCy / Clinical NLP Toolkits
  • Apache Spark for Healthcare Data
  • Power BI / Tableau for Clinical Dashboards

Cieľová skupina

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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.

Štruktúra kurzu

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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 

Predpokladané znalosti

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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.

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pruduktová podpora

Certifikácie

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