AI+ Pharma

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

The AI+ Pharma™ program offers a beginner-friendly pathway to revolutionize healthcare expertise through smarter, data-driven decision-making. By blending core pharmaceutical knowledge with intuitive AI tools and real-world case studies, the course builds essential analytical skills through an integrated learning experience. Participants will achieve industry-focused growth by applying AI to practical projects in drug development, research, and compliance.

Recommended Prerequisites:
  • Basic Biology Knowledge – Understand fundamental human biology concepts.
  • Pharmaceutical Fundamentals – Familiarity with drug development and approval processes.
  • AI & ML Basics – Grasp core principles of artificial intelligence.
  • Data Analytics Skills – Ability to interpret and analyze datasets.
  • Ethical Awareness – Understand ethics in AI-driven healthcare applications.

Course Outline:

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

All necessary course materials are included.


System Requirements:

Internet Connectivity Requirements:

  • Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

  • CPU: 1 GHz or higher
  • RAM: 4 GB or higher
  • Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
  • Speakers / Headphones
  • Microphone for Webinar or Live Online sessions.

Operating System Requirements:

  • Windows 7 or higher.
  • Mac OSX 10 or higher.
  • Latest Chrome OS
  • Latest Linux Distributions

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

  • Latest Google Chrome is recommended for the best experience.
  • Latest Mozilla FireFox
  • Latest Microsoft Edge
  • Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

  • Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
  • PDF reader program (Adobe Reader, FoxIt)
  • Courses may require other software that is described in the above course outline.


** The course outlines displayed on this website are subject to change at any time without prior notice. **