Drug Discovery Essentials on Google Cloud (DDEGC) – Details

Detaillierter Kursinhalt

Module 1 - Introduction to AI and ML for drug discovery

Topics:

  • How AI impacts the drug discovery pipeline
  • Next-gen tools
  • Google Cloud for drug discovery
  • Security and compliance

Objectives:

  • Describer the value of leveraging AI and ML to enhance drug discover processes

Module 2 - Building AI pipeline for drug discovery with Vertex AI

Topics:

  • What is Vertex AI?
  • The anatomy of a pipeline
  • End-to-end pipeline workflow

Objectives:

  • Use Vertex AI to streamline drug discovery workflows

Activites:

  • 1 use case demo

Module 3 - Generative AI in drug discovery

Topics:

  • What is Generative AI?
  • Core applications in drug discovery
  • GCP AI toolkit
  • Challenges and best practices

Objectives:

  • Identify applications of generative AI in drug discovery

Module 4 - AI for omics and clinical research

Topics:

  • Harnessing genomics with BigQuery
  • AI for proteomics
  • Integrated clinical and real-world data
  • Looking ahead: The future of AI in drug discovery

Objectives:

  • Analyze omics and clinical trial data using Google Cloud tools

Activities:

  • 1 use case demo