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Coursera

AI in Healthcare & Drug Discovery

via Coursera

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
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AI is transforming how healthcare, pharmaceutical research, and drug discovery teams work, from early-stage research to clinical decision-making. The AI in Healthcare & Drug Discovery Certification is a beginner-friendly, hands-on program designed for professionals in pharma, biotech, clinical research, healthcare analytics, and medical innovation. Learn how AI supports drug discovery, clinical trials, biomedical analysis, and evidence-based decisions without coding experience. The course covers practical AI applications across the drug development lifecycle, including target identification, molecule screening, biomarker evaluation, trial planning, clinical data analysis, and research automation. Through guided exercises and real-world scenarios, you’ll learn how to use machine learning, generative AI, predictive analytics, and automation to review scientific information faster, analyze data more efficiently, and support safer, smarter research outcomes. By the end of the course, you’ll confidently apply AI tools to improve productivity, research quality, and decision-making across healthcare and drug development workflows. Enroll now to gain practical AI skills for healthcare research and innovation.

Syllabus

  • Module 01: AI Foundations for Pharma
    • This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.
  • Module 02: AI in Drug Discovery and Development
  • Module 03: Clinical Trials Optimization with AI
  • Module 04: Precision Medicine and Genomics
  • Module 05: Regulatory and Ethical AI in Pharma
  • Module 06: Implementing AI in Pharma Projects
  • Module 07: Future Trends and Sustainability in Pharma AI
  • Module 08: Capstone Project

Taught by

AI CERTs Team

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