
India's first pharma-focussed, execution-oriented Applied AI Academy
Domain expertise.
Applied AI.
Real outcomes.
A practitioner-led capability platform where educators, trainers, students and entrepreneurs learn to apply AI inside the industries they already understand.
Industry → classroom
Live DSeT platform and consulting use cases
Domain × AI
Built for vertical expertise, not generic prompting
Research → practice
Applied research translated into usable capability
Skill → scale
Trainer multipliers and institution partnerships
Bridging the AI skills gap, one audience at a time.
AI is moving into every field faster than people are being trained to use it — most professionals know AI exists, very few can actually apply it to their own work. That gap is exactly why skill development matters now, not later.
DSeT Academy exists to close that gap — not with generic AI tutorials, but with practical, hands-on training built for the field each learner already works in.
Every programme pairs a domain (life sciences, business, teaching, campus) with hands-on AI tool fluency, and ends in a real project — not just a certificate — so the skill is something a learner can actually use the next day.
Students — Given practical AI skills, a real pharma-problem project, and a career-ready CV and LinkedIn profile.
Faculty — Equipped to bring AI into their own teaching and research, with a classroom-ready project to show for it.
Entrepreneurs — Guided to adopt AI across their own organisation, department by department, with a working adoption roadmap.
Professionals — Given role-specific AI tools for Sales, Marketing, Strategy, Business Development and Market Research, mapped to the departments they already work in.
Educators — Trained and certified to teach applied AI — with domain context, not just tool demos, and eligibility for paid training assignments.
Our Advisors
Eminent professionals who have confirmed their consent to join DSeT's advisory team.

Dr. Upendra Nagaich
Founder & CEO, SPER Market Research · National Secretary, SPER · Editor-in-Chief, JAPTR…
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Vikrant Ghai
Healthcare Transformation Leader · 22+ years across Healthcare Strategy, Digital Transformation & Analytics…
View ProfileOur Team
The certified AI educators and consultants who design and deliver DSeT Academy's programmes.

Chinmaya Mishra
Founder, Director & CEO, DSeT Consulting
20+ years of global management and digital consulting experience, leading digital transformations for Fortune 500 corporations across Banking and Mining & Metals — now driving Enterprise AI, Agentic AI and digital transformation as Founder & CEO of DSeT Consulting.

Sandesh Khambekar
Certified AI Educator · Training & Startup Consultant
25+ years across content creation, product training and startup consulting spanning Finance, SaaS and AI/ML — now training students, faculty, entrepreneurs and corporate teams on practical AI tools and workflows.

Rojalin Panda
Co-founder & Director, DSeT Consulting · Personal Care, Wellness & Natural Cosmetology
Leads DSeT’s Personal Care and Wellness vertical through Natura Sparsh, bringing a wellness and natural cosmetology perspective to technology-enabled personal care.

Salil Sahasrabudhe
Certified AI Educator · Pharmaceutical Marketing Leader
30+ years in pharmaceutical marketing and sales, rising to General Manager – Marketing with ₹300 Cr+ portfolios — now applying generative AI to pharma marketing, training and research.
Choose your starting point.
Every programme below is practitioner-led and hands-on — built to take you from understanding AI to actually applying it in your own field, with a real project to show for it. Programmes can run as open cohorts or as customised institutional cohorts; final schedule and fee are confirmed before secure payment.
Customized Department Training
Not every team needs the same AI training. Tell us your department’s day-to-day work — we scope and build a module around it.
Need training built around your department?
Every team doesn’t do the same work. Tell us your department and we tailor the modules to it, instead of one generic course for everyone.
For corporate and institutional requirements, please connect with us — direct corporate cohort coverage is available.
Conversations worth your commute.
Short, direct episodes on what it actually takes to make AI adoption stick — in the classroom, the clinic and the boardroom.
The AI Training Trap
Episode 1 — why most organisations are training people on AI the wrong way, and what actually builds capability.
The AI Training Trap (Hindi)
Episode 1, in Hindi.
The AI Training Trap — Reel
Short-form cut of Episode 1.
AI in life-science education is no longer optional.
The Pharmacy Council of India has directed that its revised B.Pharm syllabus, aligned with NEP 2020, be implemented from the 2026–27 academic session across every approved pharmacy institution — with AI, data analytics and automation running through all eight semesters.
Early semesters
- Foundational programming
- A dedicated machine-learning course
Through the programme
- AI applications in pharmaceutical sciences
- Computer-aided drug design
Final year
- AI in clinical applications
- Pharmaceutical automation
“A paradigm shift for the profession.”
The regulator has set the requirement first — and expects institutions to find the capability to deliver it. Curriculum mandates like this rarely arrive with a ready supply of qualified faculty attached. This one is no exception.
Curriculum mandate and 2026–27 implementation timeline as per PCI’s official notification.
The gap isn’t AI tools. It’s AI tools plus domain.
This is not a “how do I use ChatGPT” problem. Institutions need two independent capabilities together — and most people addressing the gap only see one.
Knowing what the tools do
What 60+ AI tools do and how to operate them. Necessary — and the only half most AI training covers.
Knowing which problem they solve
Enough pharmacy, life-science and healthcare context to pick the right tool for a real problem — and teach it credibly.
AI capability with pharmaceutical and life-science grounding is genuinely scarce in India today.
A generic AI trainer can demo Gemini or Claude. They cannot tell a Regulatory Affairs team which tool is right for a submission checklist versus a QbD summary — or show a B.Pharm faculty member how to map an AI module to PCI’s own learning outcomes. Most AI upskilling in India has been built for, and by, the engineering and IT ecosystem — not for life-science professionals.
Every one of these institutions now needs — or will shortly need — someone who can run AI training credibly.
~1,700
Pharmaceutical colleges
B.Pharm / D.Pharm / Pharm.D
3,000+
Other life-science institutions
5,000+
Pharmaceutical companies
70,000+
Hospitals
Industry estimates, provided for scale illustration. Even one trained AI-and-domain educator per institution implies thousands of trainers — for pharmacy colleges alone.
One cohort at a time never catches up. Trainers multiply.
Training end learners directly, cohort by cohort, can never reach 1,700+ colleges and 70,000+ hospitals. Certifying trainers who carry the capability into their own institutions changes the multiplier.
Linear. The arithmetic never catches up with the size of the mandate.
Multiplied. Every certified educator trains locally — and, on successful completion and demonstration of training ability, becomes eligible for paid assignments at other institutions, corporates and with industry professionals.
Local context, local delivery
Each certified AI Educator trains their own institution’s faculty, students or staff — the person who knows the context delivers the training.
Reach beyond one campus
On successful completion and demonstration of training ability, certified educators become eligible for paid assignments at other institutions, corporates and industry professionals that have the mandate but not the internal capability.
The scarce combination scales
Domain and AI competence are screened for and certified together — so what multiplies is exactly what the market is short of.
One Academy. Five ways to create multiplier impact.
DSeT Academy is not a catalogue of generic courses. Each pathway converts existing domain knowledge into applied, ethical and deployable AI capability.
Student Skill Development
Give learners hands-on exposure to industry problems, data literacy, AI tools, capstone work and the communication skills needed to move from campus to career.
Learn by solvingFaculty Development
Enable life-sciences, engineering and management faculty to integrate AI into teaching, assessment, research and student projects without losing disciplinary rigour.
Make curriculum practice-readyEntrepreneurship & Ikigai
Help founders convert passion, experience and lived problems into a validated venture, a minimum viable offer and a responsible AI-enabled operating model.
Move from purpose to pilotProfessional AI Mastery
Put AI to work for Sales, Marketing, Strategy, Business Development, Market Research and other top-line Life Science & Healthcare professionals — organised by department, not by tool.
Apply AI to your roleTrain the Trainer
Prepare a growing ecosystem of certified facilitators who can teach applied AI with domain context, practical labs and responsible-use guardrails.
Build teaching capacitySchool of Life Sciience - Skill Development Training & Research (SLSSDTR)
AI capability for professionals and institutions across pharmacy, healthcare, nursing, wellness and life-sciences research — grounded in domain evidence, data responsibility and human oversight.
Pharmacy & Pharma
Commercial intelligence, field-force use cases, evidence synthesis, pharmacovigilance awareness and responsible AI workflows.
Nursing & Allied Health
AI literacy, documentation support, care-process improvement, data privacy and educator enablement.
Research & Innovation
Research design, literature intelligence, data readiness, model evaluation and translation from hypothesis to usable solution.
Health & Wellness Enterprise
From purpose-led product ideas to validated offerings, ethical claims, go-to-market and measurable customer outcomes.
From knowing AI to applying it responsibly.
Every cohort follows a six-stage learning journey adapted from DSeT ARC™ — the same execution discipline used to move complex industry problems from discovery to value.
See founding programmesStart with the learner and the domain
Baseline skill, context, constraints and measurable outcomes before choosing a tool.
Frame a real problem worth solving
Use cases, data, stakeholders, risk and value are studied together — not as separate classroom topics.
Build through guided labs
Learners prototype workflows, evaluate outputs and redesign how work can be done with human oversight.
Demonstrate, transfer and scale
Translate learning into a teaching plan, institutional intervention, venture experiment or career portfolio.
Start deep. Then scale across DSeT's industries.
Each school combines domain faculty, DSeT platform practitioners, institutional partners and applied research.
Practice informed by research.
Research tested in practice.
The DSeT Applied AI & Research Advisory Council (DAARC) is being constituted to guide academic quality, responsible AI, research collaboration, publications, IP pathways and industry relevance across Academy schools.
DSeT ARC™ is the delivery and learning framework. DAARC is the proposed advisory and research council.
Applied research
Domain questions shaped with institutions and industry partners.
Faculty network
Cross-disciplinary mentors, reviewers and programme contributors.
Responsible AI
Privacy, evidence, bias, human oversight and accountable use.
Translation
Capstones, pilots, publications and practice-facing knowledge assets.
Built as an ecosystem, not a faculty list.
Named appointments will be announced only after written consent and confirmation of scope.
Executive Chair
Vision, standards, ecosystem and strategic direction.
Chief Operating Officer
Academy operations, cohort delivery and partner coordination.
Chief Convener
School leadership, domain network and programme priorities.
Assistant Chief Convener
Faculty mobilisation, cohort coordination and delivery support.
Academic Director
Curriculum quality, faculty development and institutional partnerships.
Appointments are independent professional/advisory engagements governed by separate written terms; they are not represented as employment positions.
Bring your domain. Leave with something deployable.
Reserve a seat, propose an institutional cohort or join the trainer ecosystem.
Clear answers before you enrol.
No. DSeT Academy is a practitioner-led skill-development and training platform under DSeT Consulting — not a degree-awarding university. Certificates recognise completed training and hands-on capability, not an academic degree.
Enrolment is completed through a secure Razorpay checkout. Your payment is verified server-side before a registration is confirmed, and no card or bank details are ever stored on DSeT servers.
Yes. Institutional cohorts can be customised for a department, campus or university — including curriculum mapping and faculty enablement. Reach out to the Academy team to plan one.
Every programme is built around a specific industry — starting with Life Sciences — using real DSeT platform use cases and department workflows, instead of generic, one-size-fits-all AI training content.
The Pharmacy Council of India has directed that its revised, NEP 2020-aligned B.Pharm syllabus — with AI, data analytics and automation running across all eight semesters — be implemented from the 2026–27 academic session at every approved pharmacy institution. Most institutions do not yet have faculty who are both AI-capable and domain-credible.
Both — it is a Train-the-Trainer programme. You build hands-on fluency across 60+ AI tools mapped to 18 departments, grounded in life-science context, and are certified to train your own institution’s faculty, students or staff. Certification also brings eligibility for paid training assignments.
Course enquiries, payment issues or a quick call — find the right contact in one place.



