Generative AI in Agriculture Training Workshop

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Course Overview:

  • Understand fundamentals of AI and Machine Learning
  • Learn how to evaluate the outputs and results of AI models
  • Introduction to Deep Learning techniques such as AlphaFold and Large Language Models (LLMs)
  • Hands-on Group Projects in Python with open-source Agriculture datasets
  • AI-Guided Genomics and Protein Design Labs using the AINovo Platform

No prior coding experience required. Certificate of Completion awarded to all participants.

Who the event is right for:

  1. Plant breeding, product development, and seed professionals working in all areas
  2. R&D Team Leaders and Scientists in seed companies
  3. Individuals seeking comprehensive knowledge in using AI to enhance the latest Genomics and Molecular Breeding technologies

Benefits of Attending:

  1. Understand how and why AI is changing the landscape of Agtech Research
  2. Introduce AI-Guided Protein Engineering and Genome Analysis with the AINovo Platform
  3. Learn through real-world case studies and work with open-source machine learning datasets
  4. Increase your skills by learning how to formulate and lead AI projects in your company

Available in 2025 - See dates & registration below:

August 28th - 29th, 2025

This online, synchronous course is 2 days long (morning sessions). Lunch and Networking to follow the final class on the second day.

Morning Sessions: 9:00 a.m. - 12:30 a.m, Pacific Time (PDT)
Lunch and Networking (August 29th, in person): 12:30pm - 2:00pm

Early Registration Price: *$995
​​​​​​Regular Registration Price: $1195
*(Early Registration ends August 7th, 2025 - Use Promo Code EARLYAGI)

Register For Course

Instructors:

Anvita Gupta, M.S. Computer Science, Stanford University

Anvita Gupta, Founder & CEO, AINovo Biotech, Inc. has over 10 years of experience in Artificial Intelligence for Biotechnology, in applications such as drug discovery, genetics, and protein design. Anvita earned her Bachelors and Masters in Computer Science from Stanford University. She has previously been a research fellow in AI for Genomics at the Stanford AI Lab (SAIL), ETH Zurich, and Harvard Medical School. In 2015, Anvita was personally honored by President Obama for her research developing new AI algorithms to advance Drug Discovery. At AINovo Biotech, Anvita has led partnerships in Artificial Intelligence with leading global vegetable seed companies such as HM Clause and Vilmorin Mikado.

Course Schedule:

  • Intro to AI and Machine Learning
  • Classical ML methods (SVM, Random Forest, Logistic Regression)
  • Intro to Deep Learning Architectures and Methods
  • Understanding how to evaluate machine learning models
  • Hands-on lab – Iris Dataset
  • Overview of Deep Learning
  • Deep Learning in Action: CNNs, RNNs (LSTMs, Transformers), GANs, Reinforcement Learning
  • Building Genomics Analysis Pipelines with Machine Learning
  • AI-Guided Protein Design and Modeling
  • Hands-on Workshop – AINovo Platform for Protein Engineering