What’s Included?
High-Video
AI Mentor
Access for Tablet & Phone
Prerequisites
- Basic understanding of biology, chemistry, or pharmaceutical sciences.
- Interest in AI-driven healthcare and digital transformation.
- Subscription to the certification.
- Laptop with a stable internet connection.
- No advanced programming experience required (interfaces are user-friendly).
Skills You’ll Gain
- AI-assisted target identification and validation.
- Protein structure analysis and druggability assessment.
- Generative molecular design (De Novo Design).
- High-throughput virtual screening workflows.
- Retrosynthesis and synthetic accessibility analysis.
- Multimodal patient data interpretation.
- Clinical trial simulation and patient stratification.
- Predicting crystal structures and drug formulations.
- Integrating AI insights into traditional "Wet Lab" workflows.
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Tools You’ll Master
PandaOmics
AlphaFold
Pharma.AI Suite (Insilico Medicine)
AtomNet Platform (Atomwise)
Recursion OS (Recursion Pharmaceuticals)
Schrödinger Computational Platform
Tempus
Iktos (Makya & Spaya)
OWKIN
What You’ll Learn
Identify novel therapeutic targets using AI.
Design "first-in-class" molecules from scratch.
Predict and solve drug formulation challenges digitally.
Optimize clinical trial designs with patient data.
Reduce R&D costs and timelines significantly.
Frequently Asked Questions
Biologists, chemists, clinical researchers, and AI enthusiasts in the healthcare space.
No; most of these platforms offer intuitive graphical interfaces for scientists.
6–8 weeks, depending on your pace.
Yes, the "Big Pharma" companies (like Pfizer, Bayer, and Roche) use these exact platforms.
It focuses on the "In Silico" (computational) part that guides the lab work.