Certificate program in AI & Machine Learning for Clinical Biostatisticians and SAS Professionals
Upcoming Batch: 21st February 2026
Mode: Online | Instructor Led
Duration: 30 Hours
Batch 1: Weekend | Saturday 3 Hours | Sunday 3 Hours
Batch 2: Weekdays | Monday, Wednesday and Thursday | 2 Hours per day
Actual Fee: ₹25,000
Early Bird / Partner Institution Discounted Fee: ₹18,000
Installment Option: 2 Installment plan Available
About the Program
The AI & Machine Learning for Clinical Biostatisticians and SAS Professionals certification is a practitioner-focused upskilling program designed for professionals who already have strong experience in clinical research, biostatistics, and SAS programming, and now want to confidently apply AI and ML in regulated clinical environments.
Unlike generic AI or data science courses, this program does not teach basic statistics, programming, or clinical concepts.
Instead, it focuses on how AI can safely and effectively augment SAS-based clinical workflows, while maintaining regulatory compliance, audit readiness, and scientific rigor.
This certification prepares you to use AI as a decision-support and productivity tool, not as a replacement for validated statistical methods.
Course Structure
Module 1: ML Concepts for Statisticians
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ML vs classical statistics
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Overfitting and generalization in clinical data
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Interpretability vs performance
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When ML should NOT be used in trials
Module 2: Core ML Models Relevant to Clinical Data
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Regression ML vs PROC GLM
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Tree-based ML vs PROC MIXED
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Survival ML concepts vs PROC PHREG
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Choosing the right model for the right purpose
Module 3: AI for Interim Analysis & Trend Detection
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Anomaly detection in interim data
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Early safety and efficacy trend identification
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Site-level risk signal detection
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AI as decision-support, not decision-maker
Module 4: Generative AI for SAS Programming
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AI-assisted SAS code generation
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Macro design and logic explanation
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SDTM & ADaM programming support
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QC, validation, and documentation automation
Module 5: Safe AI Integration & Audit Readiness
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SAS as the system of record
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Approved vs prohibited AI use cases
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Data privacy and confidentiality
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Inspection-ready documentation and governance
Module 6: Mini Use Case – End-to-End AI + SAS
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Realistic interim analysis scenario
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AI-supported signal detection
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SAS validation and human decision-making
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Audit-safe documentation walkthrough
Why This Certification Is Different
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Designed exclusively for experienced professionals
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Focused on real clinical use cases, not AI theory
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Covers Generative AI for SAS programming
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Emphasizes regulatory safety and audit readiness
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Teaches where AI should and should NOT be used
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Led by industry practitioners, not generic data science trainers
Who Should Apply
This program is ideal for:
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Clinical Biostatisticians
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SAS Programmers (SDTM, ADaM, TLF)
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Statistical Programmers
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Clinical Data Scientists
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Senior Clinical Data Management Professionals
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CRO & Sponsor-side Statistical Leads
Certification & Career Impact
Participants who successfully complete the course and project work will receive a Certificate of Completion from IDDCR Global Institute.
The certification validates your practical knowledge. and helps you transition into roles such as:
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Clinical Data Scientist
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AI-Enabled Biostatistician
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Advanced Statistical Programmer
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Clinical Analytics Lead
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AI Strategy Lead (Clinical Research)
It also strengthens your profile for leadership and consulting roles where AI adoption decisions are made.
Program Learning Outcomes
After completing this certification, you will be able to:
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Apply AI & ML responsibly in clinical biostatistics
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Use AI to support interim analysis and trend detection
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Integrate Generative AI as a SAS programming co-pilot
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Identify where ML adds value vs where classical SAS models remain mandatory
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Maintain full audit trails and regulatory defensibility
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Confidently discuss AI usage during inspections and audits
