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ATAL FDP Cambridge Institute of Technology
The ATAL FDP Cambridge Institute of Technology is a two-week offline advanced training program organized by the Department of Electronics & Communication Engineering. Sponsored by the AICTE-ATAL Academy, this initiative focuses on the emerging interdisciplinary trends integrating Quantum Artificial Intelligence (QAI), IoT, and Medical Imaging. The program offers free registration and aims to bridge the gap between theoretical knowledge and real-world clinical applications. Faculty members, research scholars, and industry professionals hold eligibility to apply. Interested candidates must complete their registration online through the ATAL portal before the deadline on 23 July 2026.
Programme Highlights
| Organising Body | Mode | Duration | Location or Platform | Last Date to Apply |
| Department of Electronics & Communication Engineering, CIT | Offline | Two Weeks | 2nd floor Seminar Hall, CIT, Bengaluru | 23-07-2026 |
About the Programme
The AICTE-ATAL Academy actively promotes advanced interdisciplinary training programs designed to empower academic professionals. Accordingly, the ATAL FDP Cambridge Institute of Technology serves as a forward-looking initiative that highlights current innovations in healthcare technologies. The curriculum explores how quantum computing combined with artificial intelligence significantly accelerates medical data processing, image analysis, and disease prediction. Furthermore, participants gain practical exposure to IoT-enabled smart healthcare systems that facilitate real-time patient monitoring and remote diagnostics, aligning directly with national initiatives such as Digital Health and NEP 2020.
Established in 2007 under the Umesh Education Trust, the Cambridge Institute of Technology operates as an autonomous, NAAC ‘A+’ accredited institution in Bengaluru. The host Department of Electronics and Communication Engineering maintains experienced faculty and advanced research centers. The institution places a strong emphasis on sustainability through its “zero waste campus” initiatives and offers students exclusive training on core subjects with advanced skill certification to ensure they are job-ready.
Eligibility Criteria
- Academic Qualification
- Faculty members representing engineering, computer science, medical, and allied sciences hold eligibility to apply.
- Research scholars and postgraduate (PG) scholars specializing in AI, quantum computing, biomedical engineering, and healthcare qualify.
- Experience & Other Conditions
- Industry professionals originating from medical imaging, health tech, and diagnostics sectors may participate.
- The organizing committee strictly limits the maximum number of participants to exactly 50.
- Evaluators will accept registrations strictly based on a first-come, first-serve basis.
- Selected faculty members must present an authorization certificate formally signed by their Principal.
Benefits & Funding
This AICTE-sponsored initiative provides complete financial support to ensure highly accessible participation.
| Component | Amount or Detail |
| Registration Fee | No registration fee is required for the participants |
Topics / Themes Covered
- Revolutionizing healthcare practice utilizing interdisciplinary innovations in Quantum AI and imaging technologies.
- IoT-enabled medical imaging designed for smart diagnostics within next-generation healthcare systems.
- Integrated silicon photonics applied to Quantum AI to enable advanced healthcare systems.
- Quantum communication and AI integration ensuring secure IoT-enabled healthcare frameworks.
- Quantum information technology utilizing photonic integrated circuits to accelerate Quantum Intelligence.
- Scalable Quantum Artificial Intelligence tailored for complex healthcare applications.
- Quantum sensing and image processing explicitly utilized in biomedical applications.
- Deep Learning frameworks enabling segmentation, classification, and risk assessment of cervical cancer.
- The practical intricacies involved in developing portable sensors for accurate cancer diagnostics.
- Quantum Machine Learning models applied to IoT-enabled medical imaging in future healthcare.
- Artificial Intelligence deployment within safety-critical healthcare applications.
- Comprehensive reliability analysis concerning AI-driven healthcare systems.
Selection Process
- The organizing committee accepts registrations through the central AICTE-ATAL portal strictly on a first-come, first-serve basis.
- The organizers will officially intimate the selected candidates exclusively by email.
- Evaluators determine the final certification based on participants maintaining a minimum 80% attendance.
- Attendees must secure a minimum score of 70% marks in the test conducted at the end or during the FDP.
- The final evaluation also comprehensively requires an assessment, a 2-page article summary write-up, successful practical session completion, an industrial visit report, and a reflection journal.
How to Apply
- Navigate directly to the official AICTE ATAL portal .
- Click on the specific link to sign up or log in explicitly as a participant.
- Ensure your academic profile is accurate and select the Cambridge Institute of Technology advanced program.
- Submit your formal registration well before the designated application deadline.
Important Dates
| Event | Date |
| Last Date for Registration | 23-07-2026 |
| Acceptance Notification | 25-07-2026 |
| Programme Start Date | 27-07-2026 |
| Programme End Date | 08-08-2026 |
Important Links
| Resource | Link |
| Apply Online | Click Here |
| Download FDP Brochure | Download |
| Download FDP Schedule | Download |
Contact Details
- Coordinator: Dr. A Chrispin Jiji (Associate Professor, Dept. of ECE) | 8951627124 | chrispin.ece@cambridge.edu.in
- Co-Coordinator: Dr. Bitan De (Associate Professor, Dept. of ECE)
- Official Address: Cambridge Institute of Technology, Jai Bhuvaneshwari Layout Rd, SR Layout, Chikkabasavanapura, Krishnarajapura, Bengaluru, Karnataka 560036
FAQs
Q1: Who is eligible to participate in the ATAL FDP Cambridge Institute of Technology?
A1: Faculty members, research scholars, PG scholars from AICTE-approved institutions, and industry professionals from healthcare and diagnostics hold eligibility to apply.
Q2: Are there any specific conditions required from selected faculty members?
A2: Yes, faculty members must present an authorization certificate officially signed by their Principal.
Q3: How many participants will the organizing committee accept?
A3: The committee strictly limits the maximum intake to 50 participants, accepted on a first-come, first-serve basis.
Q4: Is there an application fee required for registration?
A4: No, participants do not need to pay any registration fee for this fully sponsored advanced training.
Q5: What are the specific criteria required to obtain the completion certificate?
A5: Attendees must strictly maintain 80% attendance, score at least 70% on the assessment test, and successfully complete the required article summary, practical sessions, industrial visit report, and reflection journal.