Science Series - Module 12
You’ll build custom AI workflows with prompt-engineering and fine-tuning, establish governance and human-in-the-loop review, mitigate bias and protect PHI, and roadmap future AI innovations, ensuring your deployments are ethical, compliant, and cutting-edge.
What you will learn
Prompt engineering best practices and model fine-tuning.
Governance frameworks: human-in-the-loop review, version control, audit trails.
Ethical considerations: data privacy (PHI), bias mitigation, transparency.
Future trends: generative AI in virtual KOL meetings and predictive market analytics.
Note: Module topics are subject to change
Coming Soon
Short lessons ~15mins
Interactive Content
Downloadable cheatsheets
6 lessons
1 hour 35 minutes
3 core competencies
Deep Research & Regulatory Mastery
Scientific Storytelling
Omnichannel Engagement Strategy
