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Artificial Intelligence
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Maven

AI Independence for Life Science Practitioners

  • up to 9 days
  • Beginner

Develop a practical understanding of the AI landscape with an emphasis on its relevance to and the common use cases for the life sciences. This course enables life science practitioners to leverage their subject matter expertise and existing capabilities around data and statistical models to design and execute their first AI project.

  • AI fundamentals
  • AI lifecycle
  • AI models
  • Deep learning
  • Generative AI

Overview

This course will enable life science practitioners with no prior experience in building AI-driven applications to leverage their subject matter expertise and existing capabilities around data and statistical models - in tandem with easily accessible support and resources - to design and execute their first AI project. You will understand how AI has impacted the traditional data lifecycle, master the basics of the AI lifecycle, develop a comprehensive understanding of the contemporary AI landscape, and explain how each major type of AI model is applicable to life sciences.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Part-time
    course format
  • Live classes
    delivered online

Who is this course for?

Research scientists

Wanting to enhance their ability to analyze complex biological data, make good decisions, and accelerate their research.

Medical technicians

Looking to improve diagnostics and patient plans as well as improving patient safety.

Laboratory analysts

Needing to accelerate drug discovery, optimize processes, streamline quality control, and better support validation.

This course will enable life science practitioners to become independent AI practitioners by leveraging their subject matter expertise and existing capabilities around data and statistical models. It covers key AI concepts, models, and applications relevant to life sciences, helping learners to design and execute their first AI project. Ideal for beginners and professionals looking to enhance their skills and advance their careers.

Pre-Requisites

1 / 2

  • Basic understanding of data and statistical models

  • No prior experience in building AI-driven applications required

What will you learn?

AI Fundamentals for Life Science
4 Lessons • 1 Project
How AI has impacted the traditional data lifecycle
3 Lessons • 1 Project
Common AI Models and the problem spaces they address
6 Lessons
Deep learning models - CNNs & RNNs
0 Lessons • 0 Projects
Deeply contextualizing AI for the life sciences
4 Lessons • 1 Project
Planning, exciting, and elaborating on your first AI MVP
5 Lessons • 1 Project
Locating and applying the available resources for your AI Project
4 Lessons • 1 Project
Deep dive on bias, variance, and improving your model's performance
0 Lessons • 0 Projects
Generative AI applications for the life sciences
0 Lessons • 0 Projects

Meet your instructor

  • Bryan D. Eldridge, M.Ed.

    Master Instructor

    Bryan has worked with some of the largest pharmaceutical companies and biotech labs in the world to design and deliver training programs for drug researchers, microbiologists, product stability teams, pharmaceutical laboratory analysts, documentation specialists, and system validation specialists.

Upcoming cohorts

  • Dates

    start now

$500