Practical Utilization of AI for Life Sciences

Course overview

• Applied AI for Pharma & Biotech Operations: Develop practical skills in using AI tools such as Perplexity AI, Notion AI, AskReg, and Cohere to streamline research, regulatory, and clinical workflows.
• Workflow automation & knowledge management: Learn to synthesize scientific literature, clinical documentation, and regulatory guidance into searchable knowledge bases while automating repetitive documentation tasks.
• Regulatory & Compliance Readiness (North America focus): Apply AI within FDA and Health Canada frameworks while aligning with GxP standards, HIPAA, and PIPEDA privacy requirements.
• Practical Implementation & Capstone Project: Design and validate a custom “Multi-Tool Chain” workflow that saves a minimum of five hours of manual work per week.

Modules

• Module 1: Foundations and AI Opportunities in Life Sciences
  • Differentiate between various Large Language Model (LLM) architectures and understand their strengths in research, logic, and data retrieval.
  • Identify high-ROI opportunities for AI implementation across drug discovery, regulatory, and clinical operations.
  • Analyze departmental workflows to pinpoint manual data silos suitable for automation.
  • Use Perplexity AI for scientific research and literature mapping.
  • Hands-on assignment: Select a recurring manual task in your department (e.g., literature monitoring or competitive intelligence). Develop a one-page “Opportunity Map” outlining current steps, AI intervention points, and expected efficiency gains.
• Module 2: GenAI for Documentation, Data & Knowledge Systems
  • Synthesize unstructured technical data (e.g., PDFs, clinical transcripts) into centralized, searchable knowledge bases using Notion AI.
  • Develop AI-assisted workflows for drafting SOPs, research summaries, and operational documents.
  • Implement verification and self-correction strategies to mitigate hallucinations and maintain data integrity.
  • Explore enterprise data search concepts using Cohere.
  • Hands-on assignment: Design a “Living SOP” workflow using a knowledge-base approach. Identify three complex cross-document questions that extract actionable operational or clinical insights.
• Module 3: AI Safety, Privacy & Regulatory Intelligence
  • Navigate FDA (U.S.) and Health Canada regulatory requirements using AI-augmented tools such as AskReg.
  • Evaluate AI deployment models (private vs. public environments) against HIPAA and PIPEDA privacy standards.
  • Establish audit trails for AI-generated outputs to maintain GxP compliance.
  • Identify ethical risks, including bias in clinical trial design and regulatory reporting.
  • Hands-on assignment: Conduct a compliance gap analysis comparing a U.S. and Canadian regulatory requirement. Develop a documented “Prompt Audit Trail” demonstrating traceability for regulatory review.
• Module 4: Practical GenAI Utilization & Capstone
  • Architect multi-stage AI workflows linking research, drafting, and compliance validation.
  • Design specialized AI agents tailored to organizational regulatory history and documentation standards.
  • Quantify operational efficiency gains through structured workflow analysis.
  • Integrate multiple AI tools into a seamless operational pipeline.
  • Capstone Project: Design a “Multi-Tool Chain” workflow for a project such as a Clinical Study Report or New Drug Submission. Demonstrate how the workflow saves at least five hours of manual labor per week. Capstone submissions are presented as a video presentation.

Course schedule

Live sessions are mandatory; however, if you require an exception, please speak with the facilitator

• Week 1 | Participant Onboarding
  • Start Date: Monday, March 23 2026 | Onboarding
• Week 2 | Module 1: Foundations and AI Opportunities
  • Start Date: Saturday, March 28, 2026 | Asynchronous learning
  • Virtual Live session: Saturday, April 4, 2026 | 9:30AM – 12:30PM
• Week 3 | Module 2: GenAI for Documentation and Data
  • Start Date: Monday, April 6, 2026 | Asynchronous learning
  • Virtual Live session: Saturday, April 11, 2026 | 9:30AM – 12:30PM
• Week 4 | Module 3: AI Safety and Regulations
  • Start Date: Monday, April 13, 2026 | Asynchronous learning
  • Virtual Live session: Saturday, April 18, 2026 | 9:30AM – 12:30PM
• Week 5 | Module 4: Practical GenAI Utilization
  • Start Date: Monday, April 20, 2026 | Asynchronous learning
  • Virtual Live session & Capstone Introduction: Saturday, April 25, 2026 | 9:30AM – 12:30PM
• Week 6 | Capstone Project Q&A
  • Virtual Live Session: Saturday, May 2, 2026 | 9:30AM - 10:30 AM
• Week 7 | Capstone Project Submission
  • Sunday, May 10, 2026 | Submit video presentation

Course requirements

This program utilizes a combination of AI tools and practical workflow exercises. Some tools may require short-term trials or managed demo environments.

• Other software and hardware required:
  • Google account
  • Internet access
  • Laptop or desktop device (macOS or Windows)
  • Perplexity AI (Pro access recommended)
  • Notion AI
  • AskReg
  • Cohere (managed instance/demo access)

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