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Advanced FDP Cambridge Institute of Technology
Advanced FDP Cambridge Institute of Technology is an intensive two-week professional development course organized by the Department of Electronics and Communication Engineering. Sponsored by the AICTE-ATAL Academy, this offline program focuses on quantum artificial intelligence and IoT-enabled medical imaging. Participants receive a recognized certificate from the academy upon meeting evaluation requirements without paying any registration fees. The opportunity is open to faculty from AICTE-approved institutions, research scholars, and postgraduate students. The last date to complete online registration is July 23, 2026.
Programme Highlights
| Field | Detail |
| Opportunity Type | Training Program (Short-term Professional Development Course) |
| Organising Body | Department of Electronics & Communication Engineering, Cambridge Institute of Technology |
| Mode | Offline |
| Delivery Mode | Non-residential |
| Duration | Two Weeks (July 27, 2026 to August 8, 2026) |
| Location or Platform | 2nd floor Seminar Hall, Cambridge Institute of Technology, Bengaluru, Karnataka |
About the Programme
Umesh Education Trust established Cambridge Institute of Technology in 2007 to foster high-quality technical education. Notably, Visvesvaraya Technological University affiliates this autonomous institution, which holds an A+ grade from NAAC and approvals from the UGC and AICTE. Furthermore, the campus features advanced research laboratories that implement sponsored projects worth 45 crores. Accordingly, these facilities allow faculty and researchers to engage directly with live industrial applications.
This advanced training initiative bridges the gap between theoretical frameworks and practical next-generation healthcare systems. Consequently, the curriculum addresses key national initiatives including the National Education Policy (NEP 2020) and Digital Health missions. By exploring complex diagnostic models, the institution prepares educators to integrate quantum intelligence into modern academic curricula. Therefore, attendees gain critical insights required to lead interdisciplinary research in biomedical engineering.
Eligibility Criteria
Academic Qualification
- Faculty members from engineering, computer science, medical, and allied sciences are eligible to apply.
- Research scholars specializing in artificial intelligence, quantum computing, or biomedical engineering qualify for admission.
- Postgraduate (PG) scholars enrolled in recognized technical disciplines are welcome to participate.
Experience & Other Conditions
- Faculty members from host institutions or any AICTE-approved institution may register.
- Industry professionals working within health tech, diagnostics, or medical imaging sectors hold eligibility.
- Selected faculty members must obtain an authorization certificate signed by their respective institutional Principal.
Benefits & Funding
The institution provides comprehensive learning resources and official validation for all selected attendees.
| Component | Amount or Detail |
| Registration Fee | Fully exempted / No fee charged |
| Training Certificate | Issued by AICTE-ATAL Academy upon satisfying evaluation metrics |
Topics / Themes Covered
- Interdisciplinary innovations in Quantum Artificial Intelligence and medical imaging technologies.
- IoT-enabled medical imaging frameworks serving as smart diagnostics for next-generation healthcare.
- Integrated silicon photonics enabling advanced processing models and next-generation systems.
- Quantum communication and artificial intelligence integration for secure healthcare data transmission.
- Quantum information technology using photonic integrated circuits for smart imaging.
- Photonic computing architectures accelerating quantum machine learning applications.
- Scalable quantum artificial intelligence algorithms designed for clinical decision support.
- Quantum sensing mechanisms and image processing routines in biomedical applications.
- Deep learning workflows utilized for the segmentation, classification, and risk assessment of cervical cancer.
- Technical intricacies involved in developing portable sensors for cancer diagnostics.
- Reliability analysis and safety-critical evaluations of AI-driven healthcare infrastructure.
Selection Process
- The organizing committee accepts registrations strictly on a first-come, first-served basis.
- Organizers restrict the total intake to a maximum of 50 participants.
- Selected candidates receive confirmation details exclusively via email.
- Candidates must maintain a minimum of 80% attendance throughout the two-week duration.
- Evaluation requires successful completion of one formal assessment, a practical session, and a reflection journal.
- Participants must submit a two-page written article summary and an industrial visit report.
- Attendees must secure a minimum score of 70% marks in the test conducted during or at the end of the program.
How to Apply
- Visit the official AICTE ATAL academy web portal.
- Click on the signup option or login directly if you possess an active participant profile.
- Search for the specific application number 1773823646 and submit your registration details.
Important Dates
| Event | Date |
| Last Date for Registration | July 23, 2026 |
| Acceptance Notification | July 25, 2026 |
| Programme Start Date | July 27, 2026 |
| Programme End Date | August 8, 2026 |
Important Links
| Resource | Link |
| Apply Online | Click Here |
| Download FDPs Brochure | Click Here |
| Download FDP Schedule | Click Here |
| Official Website | Click Here |
Contact Details
- Coordinator: Dr. A Chrispin Jiji, Associate Professor, Department of ECE
- Email Address: chrispin.ece@cambridge.edu.in
- Mobile Number: 8951627124
- Venue Location: 2nd Floor Seminar Hall, Department of Electronics & Communication Engineering, Cambridge Institute of Technology, Jai Bhuvaneshwari Layout Rd, SR Layout, Chikkabasavanapura, Krishnarajapura, Bengaluru, Karnataka 560036
FAQs
Q1: What is the primary focus of the Advanced FDP Cambridge Institute of Technology?
A1: This program provides deep technical insights into the integration of quantum artificial intelligence, IoT frameworks, and advanced medical imaging systems.
Q2: Are there any registration fees associated with this two-week training course?
A2: No, the organizers do not charge any registration fees for eligible academic and industry participants.
Q3: What are the strict evaluation criteria required to obtain the official certificate?
A3: Candidates must secure 80% attendance, complete all practicals, submit an industrial visit report, and score at least 70% marks in the test.
Q4: How can interested candidates enroll in this professional development program?
A4: Applicants must register online via the ATAL portal by logging in as a participant and locating application number 1773823646.
Q5: When is the final deadline to submit applications for this training?
A5: The last date to complete online registration through the designated portal is July 23, 2026.