Introduction to GenAI for Life Sciences

2 Days

·

Cohort-based Course

Unlock GenAI for your workflows. Join our three-hour course to master LLMs, learn prompt engineering, and try out a real-world application.

Companies we've worked with

Roche
AbbVie Inc.
Pfizer
UCSF Health
The American Cancer Society

Course overview

Learn practical genAI skills to use within life sciences workflows in 3 hours!

We cover four pivotal areas so you can walk away understanding the basics of genAI and its applications in your day to day world.


Current State of LLMs

We'll provide an overview of Large Language Models (LLMs) and discuss how they function. With the technology rapidly developing, we'll explore the latest advancements in LLMs, including breakthroughs and emerging trends relevant to life sciences, while showcasing application within the industry in areas such as drug discovery, patient care, and regulatory and compliance needs.


Prompt Engineering

We will cover the basics of prompt engineering, providing the best practices for crafting effective prompts to elicit desired responses from LLMs.


Life Sciences Use Case

Using what you learned in the first session, you will try out a use case for homework. Then we will discuss the results in the second session with any actionable takeaways.


Safety and Compliance

We'll explore together the ethical implications of using AI in life sciences, including bias, transparency, and accountability. With AI being such a new technology, we'll speak on the regulatory and compliance frameworks which exist to govern the use of AI in healthcare and research settings.


These topics will provide you with a comprehensive understanding of GenAI's potential in life sciences, equipping you with practical skills and knowledge they can immediately apply!

Who is this course for

01

Life Science Professionals eager to streamline their mundane tasks, such as presentation creation or regulatory paperwork

02

Lab Scientists wanting to automate analysis of their experimental findings

03

Bioinformaticians looking to collaborate on datasets across organizations

What you’ll get out of this course:

Understanding LLMs

Gain a solid foundation in large language models (LLMs), including their architecture, functionality, and the latest advancements. You'll know all the acronyms by heart!

Building Foundations for Prompt Engineering

Learn effective prompt engineering techniques to optimize interactions with LLMs, enhancing your ability to extract valuable insights relevant to your work.

Applying GenAI to Life Sciences

Engage with a life sciences use case that illustrates the practical application of GenAI, providing actionable insights that you can implement in your own daily workflows.

Navigating Safety and Compliance

Develop a clear understanding of safety considerations and regulatory frameworks surrounding AI use in life sciences, along with strategies to ensure compliance.

What’s included

Live sessions

Learn directly from Michelle Yi & Kamayani Gupta in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Week 1

Dec 2—Dec 3

    Take Home Project: Life Sciences GenAI Use Case

    1 item

Meet your instructors!

Michelle Yi

Michelle Yi

Michelle Yi is a technology leader who specializes in AI and machine learning. She contributed to the original IBM Watson showcased on Jeopardy, and enjoys building AI solutions to solve real-world problems that helps us innovate for a better future.

Kamayani Gupta

Kamayani Gupta

Kamayani Gupta is a life sciences expert who uses data-centric approaches to optimize complex business processes. She enjoys working with new technologies to reduce redundant workflows and biases in the drug discovery to commercialization pipeline, and has worked with fortune 100 pharmaceutical and medical device companies.

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Introduction to GenAI for Life Sciences

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Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

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Introduction to GenAI for Life Sciences