IGMPI is an accredited Vocational Institution of the Ministry of Education, Government of India Institute of Good Manufacturing Practices India is Management System (QMS) certified under NABCB accreditation. IGMPI is also approved by Food and Life Sciences Sector Skill Councils recognized by the National Council of Vocational Education and Training (NCVET).

The Post Graduate and Executive Diploma programmes of IGMPI in Good Manufacturing Practices, Regulatory Affairs, Intellectual Property Rights, Quality Assurance and Quality Control, Public Health, Nanotechnology, Hospital Management, Product Management, Sales and Marketing Management, Clinical Research, Medical Writing, Drug Discovery and Development, Pharmacovigilance, Medical Coding have been duly assessed and approved by Quality Council of India, Government of India based on fulfillment of QCI's following criteria:

        1. Course Content
        2. Course Design
        3. Course Material
        4. Instructors
        5. Class size & Attendance
        6. Facilities
        7. Evaluation of Students
        8. Written Examination
        9. Certificate
    

IGMPI is also approved by Food Safety and Standards Authority of India (FSSAI) (FSSAI ID: TPINS18). IGMPI® is licensed by Department of Food Safety & Drug Administration under the Drugs and Cosmetics Act, 1940 and registered under Food Safety and Standards Act 2006.

IGMPI is also approved by Sector Skills Council under National Skill Development Corporation (NSDC) setup by Ministry of Skill Development & Entrepreneurship, Govt of India.

IGMPI has been conferred with the prestigious "BUREAU OF INDIAN STANDARDS (BIS) AWARD OF HONOUR 2023". QUALITY COUNCIL OF INDIA (QCI) has also conferred IGMPI with D.L. SHAH NATIONAL QUALITY AWARD, Certificate of Merit & ASSOCHAM has conferred IGMPI with the Services Excellence Award based on excellence of its services to the students and training participants.

Bureau of Indian Standards (BIS) is a member of International Organization for Standardization (ISO) and through the Indian National Committee (INC) which is a member of International Electrotechnical Commission (IEC). BIS is also a member of regional standards bodies like Pacific Area Standards Congress (PASC) and South Asian Regional Standards Organization (SARSO). India started taking part in IEC from 1911 and subsequently the then Indian Standards Institution (now BIS) took over the responsibility of Indian National Committee of IEC(INC-IEC) in 1949. Since then the INC-IEC is actively participating in the activities of the IEC both at the policy level and technical work and carrying out the responsibilities as member body of IEC Council. India is a member in Standards Management Board (SMB) of IEC since 2015.BIS has also signed Bilateral Cooperation Agreements (BCA)/Mutual Recognition Agreements (MRA) with the National Standards Bodies of several countries like Afghanistan, Bangladesh, Belarus, Egypt, European Union , Germany, Ghana, Greece, Indonesia, Iran, Japan, Jordon, Kenya, Kyrgyzstan, Mali, Mauritius, Nigeria, Russia, Saudi Arabia , Slovakia, Slovenia, Suriname, USA, UAE, Uzbekistan, Viet Nam, Bhutan, Brazil, Israel, Nepal, Pakistan and Sri Lanka.

National Accreditation Board for Certification Bodies (NABCB), Quality Council of India is a member of International Accreditation Forum (IAF) & Pacific Accreditation Cooperation (PAC) as well as signatory to its MLAs for Quality Management Systems, Environmental Management Systems and Product Certification. NABCB is also a Full Member of International Laboratory Accreditation Cooperation (ILAC) & Asia Pacific Laboratory Accreditation Cooperation (APLAC) as well as signatory to its MRAs for Inspection.

Course Overview:

The Certificate in Artificial Intelligence in Ayurveda is a specialized program designed to integrate AI technologies with traditional Ayurvedic practices. This program comprehensively explains how AI-driven solutions can enhance Ayurvedic diagnostics, treatment personalization, and research. Participants will explore AI applications in herbal medicine, predictive analytics, and digital health records to optimize patient care and treatment outcomes.

Course Objectives:

• Understand the fundamentals of AI and its applications in Ayurveda.

• Explore AI-driven diagnostics and predictive analytics for personalized treatments.

• Study the role of machine learning in Ayurvedic formulations and herbal medicine.

• Learn about AI-based patient monitoring and digital health records.

• Analyze ethical, legal, and practical challenges of AI integration in Ayurveda.

Programme Structure:

1. Introduction to AI in Ayurveda

• Overview of Ayurveda and its principles

• Fundamentals of Artificial Intelligence

• Intersection of AI and Ayurveda

• Role of data science in Ayurvedic research

2. AI-Driven Diagnostics in Ayurveda

• Image processing for tongue and pulse diagnosis

• AI models for Dosha assessment

• Wearable technology and Ayurvedic health tracking

3. Predictive Analytics and Ayurveda

• AI algorithms for disease prediction

• Machine learning models for personalized treatments

• AI applications in preventive healthcare

4. AI in Ayurvedic Herbal Medicine

• AI-assisted drug discovery and formulation

• Predictive modeling for herbal interactions

• Quality control and standardization using AI

5. AI in Ayurvedic Research and Development

• AI-based clinical trials for Ayurvedic medicine

• Big data and Ayurveda: Research trends and case studies

• Blockchain for Ayurvedic medical records

6. Ethics and Challenges in AI-driven Ayurveda

• Ethical considerations in AI integration

• Regulatory frameworks for AI in healthcare

• Overcoming challenges in AI adoption for Ayurveda

Examination and Certification:

IGMPI follows a credit system based on all learning activities involved in studying for all PG Diploma, Executive Diploma and Certificate Programmes. Each of your modules is equal to 4 credits. To complete the programme, you will have to earn all the credits assigned to your programme.

All the participants are expected to appear for an online exam and are also obliged to submit assignments after each module. After successful completion, the participants will be awarded Certificate in Artificial Intelligence in Ayurveda by Centre for Health Management and Research (CHMR), IGMPI. For all the above-mentioned modules, elaborate programme material, self-assessment assignments, and project work details would be provided by the Institute from time to time. Details get updated on the webpage as well.

Eligibility:

Graduate in any discipline is eligible for our Post Graduate Diploma and Certificate Programmes. For Executive Diploma programmes and Professional Certifications, you need to have at least 1 year of work experience.

• Open to graduates in Ayurveda (BAMS), MBBS, Life Sciences, Pharmacy, Biomedical Engineering, AI & Data Science, and related fields.

• Working professionals in healthcare, technology, or research domains interested in AI applications in Ayurveda.

Programme Duration:

The minimum duration to complete this programme is 3 months and maximum duration is 6 months.

Programme Mode

Registrations are currently open for regular and online both modes.

Programme Deliverables:

A comprehensive study material for all the modules in hard copies ensuring the needs of the audience. The accompanying training material is appropriately aligned with the current Industry's expectations.

– Assignments for all the programme modules for continuous evaluation and guidance.

– Interactive or online live sessions on all key areas of the programme giving all flexibility to the participants.

– Online classes for all the modules will be conducted on the weekends. Moreover, a doubt clearing session will also be scheduled before the examination.

– All the efforts are made by IGMPI faculty members to make the entire programme modules easily understandable.

– Assessment and evaluation for all the programme modules in order to enhance the levels of competencies and skills of the participants leading towards the objective of application in the job.

– At the end of each programme modules, the trainers shall obtain feedback from the participants using specially designed questionnaires.

– All learning and training delivery initiatives shall be conducted in English.

Placement Assistance & Corporate Relations

The Institute has partnered with many organizations for providing with placement assistance to in its participants. The robust placement cell comprises of senior-level Human Resources professionals and Talent Acquisition experts which maintains close links with the business and industry. We are engaged in promoting the employability of our participants by maintaining good rapport and relation with HR cell and recruiting managers of leading Food and Agriculture companies across the globe. The efforts of our placement cell also include helping with professional resume writing, interview skills & conducting mock interviews etc.

Graduates specializing in Artificial Intelligence in Ayurveda in India can explore opportunities with several prominent organizations that value expertise in this field like R&D, telemedicine, health tech startups, and pharmaceutical companies, using AI for personalized treatments, predictive healthcare, and drug discovery. Opportunities also exist in education, consulting, and policy-making, integrating AI into Ayurvedic practices. Key employers include Ayurvedic hospitals, research institutions, and digital health firms.

Future career prospects

Graduates of the Certificate in Artificial Intelligence in Ayurveda have promising career prospects in health tech, pharmaceutical research, telemedicine, and Ayurvedic product innovation. They can work in AI-driven diagnostics, predictive healthcare, drug discovery, and personalized wellness solutions. Opportunities exist in R&D, consulting, education, and regulatory policy-making, integrating AI into Ayurveda. 

Key employers include Ayurvedic hospitals, pharmaceutical companies, AI-driven healthcare startups, and research institutions, with roles in machine learning applications, data analytics, and AI-based Ayurvedic healthcare solutions.

 Who Should Enroll?

• Ayurveda professionals seeking AI integration knowledge.

• AI and Data Science professionals exploring healthcare applications.

• Researchers and academicians in traditional medicine and digital health.

• Entrepreneurs looking to develop AI-based Ayurvedic solutions.