Hands-On AMR Course: Detecting Resistance Genes Using BLAST & NCBI
1 × INR ₹2,499.00 
Forecasting Basics (No ML): Trend + Scenario
1 × INR ₹59.00 Subtotal: INR ₹2,558.00
Explore how Artificial Intelligence is transforming modern drug discovery, from target identification to molecule screening.
AI in Drug Discovery: Introduction is a free beginner-friendly self-paced course designed to introduce learners to how artificial intelligence is used in modern drug discovery and pharmaceutical research. The course explains the basics of drug discovery, biomedical data, molecular data, genes, proteins, targets, and compounds. Learners will also understand how AI supports target identification, virtual screening, drug-like property prediction, lead optimization, and research decision-making.
The aim of this course is to provide learners with a simple and structured foundation in AI-driven drug discovery. It helps participants understand how artificial intelligence can support pharmaceutical research, biomedical data analysis, target discovery, molecular screening, and responsible decision-making in life science research.
AI in Drug Discovery: Introduction is a free beginner-friendly self-paced online course designed to introduce learners to how Artificial Intelligence is used in modern drug discovery and pharmaceutical research. The course covers the basics of drug discovery, biomedical and molecular data, target identification, virtual screening, AI-supported compound selection, molecular property prediction, responsible AI use, and future career opportunities in AI-driven pharmaceutical and biotechnology research.
By the end of this course, learners will be able to understand the basic workflow of drug discovery and the role of AI in pharmaceutical research. They will learn about biomedical and molecular data, target identification, virtual screening, drug-like property prediction, lead optimization, responsible AI use, key challenges, and future career opportunities in AI-driven drug discovery.
This course is suitable for students, beginners, freshers, biotechnology learners, pharmacy learners, life science learners, healthcare research professionals, and anyone interested in AI applications in drug discovery. It is also useful for learners from biotechnology, pharmacy, pharmaceutical science, bioinformatics, life sciences, biomedical science, chemistry, medicine, and data science backgrounds.
After completing this course, learners will be able to explain how AI is applied in drug discovery, identify the importance of biomedical and molecular data, understand basic AI-supported workflows such as target identification and virtual screening, describe drug-like property prediction and lead optimization, and explore further learning paths in AI, biotechnology, pharmacy, and pharmaceutical research.
Standard: ₹398 | $40
Discounted: ₹199 | $20
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
with Abhimanyu
