Certified AI in Biotech & Drug Discovery Specialist (CAIBDDS) Certification Program by Tonex
Become a cross-disciplinary specialist who unites AI, quantum strategies, and biotech to accelerate target identification, lead optimization, and translational insight. You will learn to orchestrate protein structure prediction, multimodal bioinformatics with LLMs, and generative pipelines from hypothesis to IND-ready evidence.
Cybersecurity protects genomic IP and model assets across the pipeline. Cybersecurity reduces data leakage risk in federated research and partner ecosystems. Cybersecurity strengthens compliance for PHI and regulated biomedical workflows. Graduates leave with practical frameworks, curated tool stacks, and governance checklists to deploy high-impact, trustworthy innovation in biotech and drug discovery.
Learning Objectives
- Apply AI methods for protein folding, docking, and target deconvolution
- Use LLMs to structure, query, and summarize omics and literature at scale
- Design generative workflows for hit finding and lead optimization
- Integrate quantum inspired search and scoring into discovery pipelines
- Evaluate bias, robustness, and regulatory readiness for clinical translation
- Implement cybersecurity controls for PHI, models, and supply chains
- Communicate results with reproducible reports and decision artifacts
Intended Audience
- Bioinformaticians and computational biologists
- Drug discovery and medicinal chemistry teams
- Data scientists and ML engineers in life sciences
- R&D managers and product leaders
- Clinical research and translational science professionals
- Regulatory and compliance officers
- Cybersecurity Professionals
Course Modules
Module 1: AI Protein Modeling
- Protein structure prediction essentials
- Constraint and template usage
- Pocket detection and druggability
- Docking strategy selection
- Data curation for structures
- Reliability and uncertainty
Module 2: LLMs in Bioinformatics
- Text mining for targets
- Sequence and variant annotation
- Ontology grounding workflows
- Retrieval augmented analysis
- Prompting and guardrails
- Evaluation and benchmarks
Module 3: Generative Biology
- Model types and priors
- Molecular design objectives
- ADMET proxy integration
- Active learning loops
- Diversity and novelty control
- Reporting and traceability
Module 4: Quantum AI Pipelines
- Search and optimization roles
- QAOA and annealing heuristics
- Encoding molecules and graphs
- Hybrid classical orchestration
- Runtime selection and costs
- Result validation strategies
Module 5: Data Governance
- PHI and sensitive data flows
- Metadata and lineage tracking
- Access and least privilege
- Confidential computing options
- Audit trails and retention
- Cross-org collaboration
Module 6: Risk and Compliance
- Model risk management
- Bias and safety checks
- Regulatory touchpoints
- Cybersecurity threat models
- Incident response planning
- Documentation for approval
Exam Domains
- Foundations of AI in Biotech
- Protein and Structure Analytics
- LLMs and Bioinformatics Systems
- Generative Design and ADMET
- Quantum-Enabled Optimization
- Governance Risk and Compliance
Course Delivery
The course is delivered through expert-led lectures, interactive discussions, case studies, and guided demonstrations. Participants access online readings, curated datasets, and templates for practical exercises. Engagement includes peer reviews and instructor feedback to reinforce real-world application.
Assessment and Certification
Participants are assessed through quizzes, graded assignments, and a capstone project that synthesizes discovery workflows with governance considerations. Upon successful completion, participants receive the Certified AI in Biotech & Drug Discovery Specialist CAIBDDS certificate from Tonex.
Question Types
- Multiple Choice Questions MCQs
- Scenario-based Questions
Passing Criteria
To pass the CAIBDDS Certification Training exam, candidates must achieve a score of 70% or higher.
Ready to lead the next wave of AI-driven therapeutics Join the CAIBDDS program by Tonex and transform discovery speed, quality, and trust—apply today.