Detailed Course Outline
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