CLINICAL AI ANALYST CERTIFICATION PROGRAM
Become Certified Healthcare AI Analyst
AI is entering healthcare fast but many clinicians feel unsure, skeptical, or overwhelmed. This program is clinical-first and focuses on how AI improves patient care rather than on coding. It delivers practical, hands-on learning including evaluation techniques, safe workflow design, and real-world case studies so you can apply AI safely in clinical settings. No coding is required; the curriculum is tailored for doctors, clinicians, and health leaders.
You remain the decision-maker. AI becomes your tool.
Cohort 2
100% Live
100% Online
Program
4 Months Live Certification (16 Sundays)
+
2 Months Guaranteed Internship with CellStrat AI Labs
Audience
- MBBS Students
- Postgraduates
- Practicing Doctors
- Clinicians
- Researchers
- Hospital Administrators
- Health‑Tech Innovators
4-Month Live 16 Classes
Held every Sunday and delivered 100% online, the program is interactive, case‑based, and practical — no coding required.
MODULE I : Foundations of Clinical AI
- What AI really means in medicine
- Machine Learning explained for clinicians
- Natural Language Processing for clinical notes
- Computer Vision for imaging
- Structured vs unstructured clinical data
- AI myths vs reality
Outcome: Understand how AI processes clinical data and where it fits in real practice.
MODULE II : Healthcare Data & Predictive Thinking
- How clinical datasets are built
- Training, validation, and testing explained simply
- Bias in healthcare data
- Designing early warning systems
- Framing clinical problems correctly
Outcome: Know how predictive models are trained and how to judge whether they are reliable.
MODULE III : Evaluating AI in Clinical Practice
- Sensitivity, specificity, precision in real hospital scenarios
- Why high accuracy can still be misleading
- Understanding confusion matrix
- Screening vs confirmatory AI tools
- Alert fatigue and clinical risk
Outcome: Confidently evaluate AI tools before using them in your department.
MODULE IV : Generative AI & LLMs in Medicine
- How Large Language Models work
- Why hallucinations happen
- Detecting unsafe outputs
- Safe prompt design using the ROLE framework
- Fact-checking AI responses
Outcome: Use generative AI responsibly without compromising patient safety.
MODULE V : AI Agents & Clinical Automation
- What AI agents are
- Designing no-code clinical workflows
- Creating diagnostic SOPs
- Using structured prompt frameworks
- Moving from prototype to usable workflow
Outcome: Design AI-assisted systems without coding.
MODULE VI : Capstone, Ethics & Certification
- Responsible AI in healthcare
- Bias and governance
- Model selection decisions
- The AI Co-Pilot approach
Outcome: Complete a capstone assessment including clinical metric evaluation, prompt design, multi-modal case analysis, and workflow logic.
2-Month Internship with CellStrat AI Labs
Structured practical experience — guaranteed for all participants.
Internship
This is included in the program. Not optional. Not selective. After completing the 4-month certification, you enter a structured 2-month internship where theory becomes real experience.
- Work on real healthcare AI projects
- Participate in supervised problem-solving
- Contribute to structured AI workflows
- Build portfolio-ready work
Explore example intern-driven projects: Cellverse Marketplace
Certification
Upon successful completion of 16 live sessions, capstone assessment, and the 2-month internship you will be a Certified Clinical AI Analyst
Faculty & Advisory Board
Our program is led by a multidisciplinary faculty team and guided by a distinguished advisory board, ensuring the curriculum is cutting-edge, practical, and clinician-friendly.
Faculty & Mentors
What You Gain
Practical skills, hands-on experience, and recognised credentials to lead AI initiatives in healthcare.
Understand AI clearly
Foundational concepts explained in clinical terms.
Evaluate AI safely
Assess models, risks and clinical impact confidently.
Improve research capability
Design evaluations and produce publishable work.
Strengthen your CV
Tangible projects and internship experience to showcase.
Lead AI conversations
Communicate strategy and safety to clinical teams and leadership.
Become AI‑ready
Practical readiness to adopt and govern AI safely.
Enroll — Cohort 2
Limited to 10 participants
This ensures serious learning, direct interaction, and proper feedback.
Hands-on clinical AI training with live mentorship, capstone assessment, and a guaranteed internship.