Frontier Tech · Advanced
AI for Bio-Engineering & Drug Discovery
Protein-structure AI, generative molecule design and AI-optimised CRISPR: how modern computational biology actually accelerates discovery — taught for scientists and the engineers who support them.
AI has moved to the centre of the discovery pipeline: protein-structure and interaction models let teams reason about targets in hours instead of months, generative models propose candidate molecules and antibodies, and machine-learned CRISPR guide optimisation dramatically reduces off-target edits in published work. This program trains R&D scientists, bioinformaticians and platform engineers to use these systems rigorously — including their failure modes, validation discipline and the regulatory posture that keeps computational claims honest.
Who it's for
R&D scientists, bioinformaticians, computational chemists, and ML engineers supporting life-science teams.
Tools & stack
What you'll walk away with
- Use protein-structure and interaction models in target work
- Run generative design loops for molecules and antibodies with validation gates
- Apply ML-based CRISPR guide optimisation and off-target analysis
- Design self-driving-lab style closed-loop experiments
- Document computational evidence for regulatory and publication review
Curriculum
01Structure & targets
- Protein-structure model landscape
- Interactions and dynamics in practice
- Confidence metrics that matter
- Lab: target dossier build
02Generative discovery
- Molecule and antibody generation
- Scoring, filtering, validation gates
- Hit-to-lead with AI in the loop
- Lab: generative design run
03Genome engineering
- CRISPR guide optimisation with ML
- Off-target prediction and assays
- Safety and governance in editing
- Lab: guide-design exercise
04Self-driving labs
- Closed-loop experiment design
- Robotics and LIMS integration
- 10x materials-style acceleration patterns
- Capstone: discovery-loop blueprint
Pricing
Value-based
Two-part: a one-time enablement fee plus a per-seat rate that falls as the cohort grows.
Indicative rate card · ≈ ₹11,999/hr · $300/hr
Seats limited
Choose a cohort
New cohort dates announced weekly — enrol now and pick your dates with an advisor.
Pay by PO · nothing upfront · net 30 days · GeM & tender-ready
Or reserve a seat online
₹11,999deposit
Reserves your seat & dates. Balance invoiced per your engagement.
Secure · Razorpay · full refund 7+ days before start
Every enrolment includes
- • Qube copilot access throughout
- • All session recordings & materials
- • Graded applied project with review
- • Verifiable certificate on completion
- • 30-day post-programme support
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