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AI for Healthcare

AI for Healthcare AI for Healthcare AI for Healthcare

Hospital-Ready Training Program in AI for Healthcare

Mission

  • CalGen's mission is to develop industry-ready professionals in Artificial Intelligence for Healthcare by delivering applied, project-driven training in medical imaging, clinical data analytics, and precision medicine technologies. We focus on practical skill development, global exposure, and professional mentoring so that graduates can confidently work in hospitals, digital health companies, research organizations, and AI-driven healthcare startups across India and international markets.

Vision

  • Our vision is to become a recognized global platform for AI-powered healthcare education and workforce development, connecting talent from India with opportunities in Europe and beyond. CalGen's aims to support the digital transformation of healthcare by producing professionals who can design, implement, and manage AI solutions for diagnostics, patient care, and clinical decision-making in modern healthcare systems.

Program Rationale

  • The healthcare industry is rapidly adopting AI for diagnostics, imaging, genomics, and operational efficiency, yet there is a shortage of professionals who can apply these technologies in real-world environments. The Graduate Diploma in AI for Healthcare is designed to close this gap by integrating foundational AI training, international project development, and internship-style experience. This structure ensures that learners gain both technical expertise and applied healthcare exposure, making them competitive for employment in hospitals, health-tech companies, and global AI-driven healthcare projects.

Graduate Diploma in AI for Healthcare

Program Overview

Program Overview

Program Overview

  • The Graduate Diploma in AI for Healthcare by CalGen, is a 9-month, hospital-ready training program designed to prepare graduates and professionals for careers in AI-driven healthcare, medical imaging, clinical analytics, and precision medicine applications.
  • The program follows a unique 3+3+3 structure:
  • Phase 1 – Preparatory Training for Pro

  • The Graduate Diploma in AI for Healthcare by CalGen, is a 9-month, hospital-ready training program designed to prepare graduates and professionals for careers in AI-driven healthcare, medical imaging, clinical analytics, and precision medicine applications.
  • The program follows a unique 3+3+3 structure:
  • Phase 1 – Preparatory Training for Projects (Online)
     
  • Phase 2 – Project Training & Development in Greece
     
  • Phase 3 – Project Internship & Submission (Remote / India-based)
     
  • Learners build strong foundations in Python, machine learning, deep learning, NLP, medical imaging AI, and genomics, then apply them to real-world healthcare problems through guided international project development and in-house internship experience.
  • By the end of the program, students graduate with portfolio-ready hospital AI projects, industry exposure, and career guidance for placements in India, Europe, and global remote roles.

Program Purpose

Program Overview

Program Overview

  • The purpose of the Graduate Diploma in AI for Healthcare is to bridge the growing gap between traditional healthcare education and modern AI-enabled hospital systems. Hospitals and healthcare companies increasingly rely on AI for radiology workflows, diagnostics, patient risk prediction, genomics interpretation, and digital health platfor

  • The purpose of the Graduate Diploma in AI for Healthcare is to bridge the growing gap between traditional healthcare education and modern AI-enabled hospital systems. Hospitals and healthcare companies increasingly rely on AI for radiology workflows, diagnostics, patient risk prediction, genomics interpretation, and digital health platforms, yet there is a shortage of professionals who can apply these technologies in practice.
  • CalGen AI’s program is designed to produce hospital-ready professionals who understand both clinical environments and AI technologies. The training emphasizes practical learning over theory, ensuring that graduates can work confidently with medical images, clinical text, healthcare data, and precision medicine models in real-world settings.
  • The program also aims to create a global career pathway for Indian students by integrating international project exposure, mentoring, and professional development so that learners can compete for opportunities in hospitals, health-tech companies, research projects, and AI-driven healthcare startups.

Program Design

Program Overview

Program Design

The final phase transforms learning into real-world professional experience. Students undertake an in-house unpaid internship under the guidance of CalGen's mentors to refine, implement, and document projects developed during Phase 2.

Key activities include:

  • Project Finalization: Apply feedback from Phase 2 to improve AI models, imaging pip

The final phase transforms learning into real-world professional experience. Students undertake an in-house unpaid internship under the guidance of CalGen's mentors to refine, implement, and document projects developed during Phase 2.

Key activities include:

  • Project Finalization: Apply feedback from Phase 2 to improve AI models, imaging pipelines, or precision medicine workflows.
  • Deployment and Validation: Test AI solutions on real or simulated clinical datasets, ensuring they meet hospital-ready standards.
  • Portfolio Development: Create a professional portfolio showcasing project outcomes, methodologies, and technical competencies.
  • Documentation & Reporting: Prepare comprehensive project reports, technical write-ups, and user manuals where applicable.
  • Presentation & Review: Present projects to faculty and mentors for evaluation, simulating hospital or industry project pitches.
  • Career Mentoring & Placement Support: Receive guidance on CV preparation, interview readiness, and internship/job applications in hospitals, health-tech companies, or remote AI healthcare projects.
  • Networking & Industry Exposure: Connect with professionals and potential employers in USA, Europe, and global digital health organizations.
     


Professional Scope (International)

  • Students emerge as hospital-ready AI professionals with tangible projects, applied skills, and career guidance, making them highly employable in radiology departments, diagnostics centers, hospitals, and health-tech startups. They are also prepared for global opportunities in Europe and remote healthcare AI projects.

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