Course Overview
This course provides learners with the essential skills to leverage Google Cloud AI and Machine Learning to transform the Drug Discovery (R&D) pipeline. It focuses on accelerating time-to-market and enhancing precision by overcoming the industry's challenges of high cost, long timelines, and low success rates through data and automation.
The course is structured around the practical application of key technologies. Learners will gain an understanding of: the AI paradigms (Deep Learning, GNNs, Generative AI); the unified MLOps platform of Vertex AI for building scalable, reproducible pipelines; the role of BigQuery and specialized Accelerators in handling petabyte-scale omics data; and the critical importance of ethical governance and XAI in highly regulated scientific research.
Who should attend
- Pharmaceutical leaders
- Biotech leaders
- Scientists
Prerequisites
Google Cloud basics and familiarity with Machine Learning basics will be helpful but not essential
Course Objectives
- Describe the value of leveraging AI and ML to enhance drug discovery processes
- Use Vertex AI to streamline drug discovery workflows
- Identify applications of generative AI in drug discovery
- Analyze omics and clinical trial data using Google Cloud tools
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