5 Modules to Master Gen-AI in Life Sciences
Through detailed discussions with more than 50+ pharmaceutical professionals, we pinpointed the precise AI skills gaps and learning priorities.
Module 1
Grasp core AI concepts and their specific relevance across the pharma value chain, from drug discovery to commercial.
Module 2
Learn to craft effective prompts for specific pharma tasks, from summarizing research to drafting patient information.
Navigate HIPAA, GDPR, FDA/EMA guidelines, and ethical Gen-AI principles crucial for pharma compliance.
Module 3
Module 4
Explore leading Gen-AI models and tools, with hands-on demos and a curated prompt library for pharma scenarios.
Apply your learning to a real-world pharma use case, from ideation and data strategy to prototyping and scalability planning.
Module 5
Why GEN-AI Skills Matter Today ?
AI is no longer a futuristic concept; it's a present-day force reshaping the pharmaceutical industry with higher efficiency, lightning speed, and perfect accuracy.
But here's the critical truth:
"AI will not replace people. But people who know about AI will replace people who don’t"
We're seeing major shifts: Novartis laid off over 8,000 people. Layoffs are becoming a monthly headline. Revenue models are under pressure.
And the stark reality? 87% of all AI projects fail to deliver, often due to:
Unclear expectations and undefined business goals.
Projects being led by IT without crucial business leadership.
This micro-course empowers YOU to be the essential bridge, ensuring AI initiatives deliver tangible business results.
Ai including Gen-AI, is projected to deliver median financial benefit of $ 1.8 billion over a five years for a diversified pharma company
Pratap Khedkar, CEO of ZS