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ATAL FDP GNITS Hyderabad
The ATAL FDP GNITS Hyderabad is an advanced two-week offline training program organized by the Departments of ECE and ETM at G. Narayanamma Institute of Technology & Science. Sponsored by the AICTE ATAL Academy, this initiative focuses on “Composite AI: From Data Fusion to Decision Intelligence in Smart Cities, Healthcare, and Industry 4.0”. The program bridges theory and practice through expert lectures, case studies, and hands-on sessions while offering travel reimbursement for eligible external candidates. Faculty members, research scholars, and industry professionals must apply online before the final deadline of 27 August 2026.
Programme Highlights
| Organising Body | Mode | Duration | Location or Platform | Last Date to Apply |
| Department of ECE & ETM, GNITS | In house (OFFLINE) | Two Weeks | Shaikpet, Hyderabad | 27-08-2026 |
About the Programme
The AICTE Training and Learning (ATAL) Academy actively empowers academic faculty by providing rigorous training using the latest tools and technologies. Accordingly, the ATAL FDP GNITS Hyderabad addresses the critical necessity to combine diverse AI techniques, such as multimodal data integration and edge intelligence, to solve complex real-world challenges. The curriculum comprehensively bridges the gap between theoretical models and deployable intelligent solutions, explicitly supporting sustainable development goals and cross-domain applications like smart cities and oncology tumor boards.
Established in Hyderabad, G. Narayanamma Institute of Technology & Science (GNITS) operates as a leading engineering college exclusively for women. Conferred autonomy by the UGC in 2018, the institute holds NBA and NAAC accreditations alongside an active quality culture in its teaching and administrative processes. The host departments of ECE and ETM provide a strong blend of theoretical knowledge and practical exposure through well-equipped laboratories, backed by substantial R&D project funding from AICTE, DST, and SERB.
Eligibility Criteria
- Academic Qualification
- Faculty members currently employed at AICTE-approved institutions hold eligibility to apply.
- Research scholars actively pursuing academic studies qualify for this training.
- Experience & Other Conditions
- Industry professionals seeking to explore advanced composite AI applications may participate.
- The organizing committee strictly limits the maximum intake to exactly 50 participants.
Benefits & Funding
This AICTE-sponsored program provides logistical and academic support to ensure accessible participation.
| Component | Amount or Detail |
| Registration Fee | No registration fee is required |
| Travel Reimbursement | Rs. 2000/- provided to external participants traveling more than 20KM one way (requires at least 90% attendance) |
| Meals & Hospitality | Organizers will provide a working lunch during the sessions |
| Accommodation | Provided on request (on payment basis) |
Topics / Themes Covered
- Introduction to Composite AI, its core architectures, and real-world relevance.
- Dynamic traffic management utilizing advanced LeNet models.
- Data fusion techniques covering multi-modal integration of text, vision, and sensor data.
- Decision Intelligence progressing from predictive models to fully autonomous systems.
- Application of AI to effectively diagnose crop health problems.
- Composite AI applications in Smart Cities, including traffic, surveillance, and urban analytics.
- Big Data Analytics and real-time stream processing integrated within Composite AI frameworks.
- Composite AI deployed in Industry 4.0 for predictive maintenance and autonomous manufacturing.
- Foundational concepts of Agentic AI.
- Advanced Machine Learning models for Composite AI Systems (DL, RL, Hybrid Models).
- AI frameworks designed for precision decision-making in oncology tumor boards.
- AI-IoT integration architectures tailored for smart connected systems.
- Specific case studies analyzing multi-sensor image acquisition.
- The critical role of Generative AI within Composite AI structures.
- Deployment of AI models using cloud and hybrid infrastructure (MLOps).
Selection Process
- The organizing committee reviews candidate applications submitted via the centralized ATAL portal.
- Organizers will announce the final list of selected candidates on 30 August 2026.
- To secure certification, candidates undergo an MCQ/short answer assessment carrying a 10% weightage.
- Participants must maintain a minimum of 80% attendance to earn a 20% evaluation weightage.
- Teams must submit a 2-page article summary contributing to a 30% evaluation weightage.
- Evaluators grade an individual teaching practice session for a 15% weightage.
- Teams compile an industrial visit report for a 10% weightage.
- Participants submit a reflective journal during the final session, holding the remaining 15% weightage.
How to Apply
- Navigate directly to the official AICTE ATAL signup portal.
- Complete the initial signup to access the participant login interface.
- Fill in the general details section, ensuring you upload a JPEG identity proof and a PDF No Objection Certificate (NOC) from your present organization.
- Search for GNITS under the active programs list and submit your formal application.
Important Dates
| Event | Date |
| Last Date of Registration | 27-08-2026 |
| Announcement of Selected Candidates | 30-08-2026 |
| Programme Start Date | 31-08-2026 |
| Programme End Date | 12-09-2026 |
Important Links
| Resource | Link |
| Apply Online | Click Here |
| Download FDP Brochure | Download |
| Download FDP Schedule | Download |
Contact Details
- Coordinator: Dr. C. Padmaja (Associate Professor, ECE)
- Mobile: 9502407938, 9959966461
- Email: c.padmaja@gnits.ac.in
- Official Address: G. Narayanamma Institute of Technology & Science, Shaikpet, Hyderabad – 500 104
FAQs
Q1: Who can participate in the ATAL FDP GNITS Hyderabad?
A1: Faculty members from AICTE-approved institutions, research scholars, and industry professionals are eligible to apply.
Q2: Will the organizers cover travel expenses for outstation candidates?
A2: Yes, external participants traveling over 20KM one way receive a reimbursement of Rs. 2000/- upon maintaining at least 90% attendance.
Q3: Are there any specific file formats required during the online registration process?
A3: Yes, applicants must upload their identity proof as a JPEG file and their organizational NOC as a PDF file on the ATAL portal.
Q4: How does the evaluation process for the final certificate work?
A4: Participants must undergo a comprehensive assessment consisting of attendance checks, a written test, a team article summary, teaching practice, an industrial visit report, and a reflection journal.
Q5: Will accommodation be provided for the participants?
A5: Yes, the host institution provides accommodation strictly on request and on a payment basis.