Generative AI in Drug Discovery and Development: Navigating the New Frontier

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5-Hour Live Stream or On-Site

2026 Course Dates will be available soon. Please join the wait list or if you have more than 10 who need training we can provide on-site course customization and delivery details.

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Course Fee

$1150.00 Regular Registration

$950.00 Early Bird Pricing (Register 30 Days in Advance)

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Future Live Stream Sessions (click to register)

Generative AI in Drug Discovery and Development: Navigating the New Frontier Course Description

Course notes, case studies and interactive exercises address how to develop a framework to better understand the changes in modern technology. Participants will learn the key concepts and terminology required to communicate effectively with more skilled professionals in today's tech field. Our training teaches how to critically evaluate the benefits and risks of Artificial Intelligence (AI) and Generative (Gen) AI applications professionally and personally. We discuss various contexts in which AI is considered acceptable for use with regulatory health authorities.

Who Should Take Our AI Pharmaceutical Applications Course?

Professionals in the life sciences industry need the critical thinking skills to distinguish between what's real and what's AI-generated. This program is designed for curious, growth-oriented life sciences professionals who want to integrate AI-related workflows into their day-to-day work, understand the industry's projected regulatory developments and understand how it may impact their career trajectory.



While this course is primarily focused on AI-assisted medicinal chemistry and biopharmaceutical landscapes, it can apply to various sectors, from toxicology and biometrics to medical writing and regulatory affairs.

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  • Learning Objectives

    Upon completion of this one-day course, attendees should:


    • Understand AI Fundamentals and Key Terminology: Gain a foundational understanding of Artificial Intelligence, including essential terms like machine learning (ML), deep learning and large language models (LLMs).
    • Explore AI Applications in Life Sciences: Discover how AI is being used in every stage of drug development and within specialized life science functions that support drug discovery, development, regulatory submission and approval.
    • Navigate Regulatory and Ethical Frameworks: Understand what to expect as regulatory thinking on AI evolves, from global regulatory perspectives and compliance requirements to ethical considerations and best practices in data governance. 
    • Utilize Practical AI Tools: Learn to integrate user-friendly AI tools into your professional workflow.
    • Analyze AI-Driven Innovations: Critically investigate the utility, return on investment and potential impact of AI innovations to either support their evaluation on behalf of your company or to advocate for their implementation. 
    • Prepare for the Future of AI in Life Sciences: Anticipate future trends and prepare to lead in an AI-enabled life sciences environment.

  • Agenda

    Section 1: Artificial Intelligence Basics


    Our machine learning for pharmaceuticals and life sciences course starts with:

    • Key concepts related to AI and Gen AI
    • Classification of different AI modalities and utilization
    • Existing applications of computational drug development 
    • Ethics in AI development and deployment 
    • Case studies of where AI has delivered value versus failed 
    • Developing a framework and library for continuous learning on AI-related topics 

     

    Section 2: AI in Drug Development Lifecycle 


    The course director will provide a comprehensive overview of AI applications that are relevant to modern drug development. Participants will learn about AI-assisted processes throughout the drug development life cycle, including:


    1. Discovery to pre-clinical proof of concept 
    2. Early to late clinical trials and case studies 
    3. Regulatory submission to approval
    4. Launch to Phase 4 

    Section 3: Rising Uses and Trending Topics


    Attendees will engage in compelling conversations regarding AI-related news and events. We share examples of AI-powered biotech companies and discuss how advanced technology continues to shape various professional tasks, from Computer-Mediated Communication (CMC) and medical writing to quality and compliance or programming and portfolio management. 


    Section 4: Navigating AI Related Regulatory Frameworks and Positions 

    • Food and Drug Administration (FDA)
    • European Medicines Agency (EMA)
    • Health Canada 
    • Medicines and Healthcare products
    • Regulatory Agency (MHRA)
    • Other regional health authorities 

    Section 5: AI Tools for Use in Professional Domains


    Participants will discuss how AI continues to shape professional environments. We cover:


    • Examples and case studies of AI deployment, either from scratch or through vendors in the professional space
    • Common AI-related issues or concerns to look for
    • Change management, quality and compliance related to AI 

    Section 6: Preparing for the Future of AI 

    • Critical thinking applied to the evaluation of AI solutions and use cases
    • Case studies on benefits and issues 
    • Projecting future trending of the AI space and overall utility 
    • Preparing for AI integration into professional career growth 

Registrant Information:

Each person attending a course will be asked to set up an Attendee Profile Account during the registration process. Creating an Account helps you view your order history and manage your training programs. If you are registering for others, please set up an Account in the Attendee’s name. If you are registering more than one person, you’ll need to set up a separate account for each Attendee.