ATAL FDP Vasavi College of Engineering

The ATAL FDP Vasavi College of Engineering operates as an AICTE-sponsored offline short-term skill training program focusing on drone-based multi-sensor remote sensing and artificial intelligence. Organized by the Department of Information Technology, this six-day initiative provides academic faculty, doctoral scholars, and postgraduate students with hands-on skills in spatial data processing and mission planning without levying registration fees. Selected participants receive specialized technical training alongside an official certificate upon meeting cumulative evaluation metrics. Consequently, eligible candidates must submit their application forms via the centralized ATAL portal before all 50 cohort seats are filled.

Programme Highlights

Organising BodyModeDurationLocation or Platform
Department of Information Technology, Vasavi College of EngineeringOfflineSix DaysIbrahimbagh, Hyderabad, Telangana

About the Programme

Drone technology combined with artificial intelligence is transforming spatial data collection, environmental monitoring, agricultural yield estimation, and disaster management. Consequently, this six-day faculty development course builds a step-by-step understanding of how unmanned aerial vehicles (UAVs) gather data using RGB cameras, multispectral sensors, LiDAR, and synthetic aperture radar (SAR). Furthermore, participants learn open-source geospatial tools such as QGIS and Google Earth alongside practical AI/ML data workflows without requiring deep theoretical mathematical backgrounds. The program includes live field demonstrations, hands-on software labs, article discussions, and a structured industrial visit.

The host institution offers an established academic foundation for this specialized geospatial program. Established in 1981 by the Vasavi Academy of Education and affiliated with Osmania University, Vasavi College of Engineering holds UGC autonomous status and an NAAC ‘A++’ grade accreditation. Specifically, the Department of Information Technology manages major funded initiatives, including a ₹35.75 Lakh DST National Geospatial Programme project on drone-based precision photogrammetry. This technical background ensures that participants in the ATAL FDP Vasavi College of Engineering gain practical industry-aligned exposure.

Eligibility Criteria

Academic Qualification

  • Postgraduate (PG) students pursuing technical degrees in information technology, computer science, or related engineering streams qualify to apply.
  • Doctoral (Ph.D.) scholars conducting research in remote sensing, artificial intelligence, or geospatial applications hold eligibility.

Experience & Other Conditions

  • Assistant Professors and Associate Professors serving in recognized technical higher education institutions meet the primary criteria.
  • Applicants must upload a valid organization identity proof and a signed No Objection Certificate (NOC) from their present organization.
  • Total participant intake is strictly capped at 50 candidates.

Benefits & Funding

Significantly, this government-sponsored initiative offers comprehensive technical instruction and practical field exposure without charging registration fees.

ComponentDetail
Registration FeeFree of cost (Sponsored by AICTE ATAL Academy)
Industrial VisitScheduled industrial visit and expert interaction included in the itinerary
E-CertificateIssued to candidates achieving minimum 80% attendance and at least 70% cumulative evaluation score

Topics / Themes Covered

  • Fundamentals of remote sensing, GIS principles, and drone (UAV) operational architecture.
  • Sensor mechanisms covering RGB cameras, multispectral sensors, LiDAR, and SAR.
  • Drone mission planning, field data collection, and spatial analytics using QGIS and Google Earth.
  • Conceptual AI and machine learning integration for satellite and aerial imagery processing.
  • Applications in environmental monitoring, smart agriculture, urban planning, and disaster response.
  • Indian drone flight regulations, operational safety rules, and geospatial data ethics.

Selection Process

  • Portal Registration: Candidates register online through the official AICTE ATAL platform.
  • Document Submission: Applicants must upload valid institutional identity proof and an official NOC during submission.
  • Cumulative Evaluation: Certificates require at least 80% attendance and a minimum cumulative score of 70% across attendance (20%), assessment test (10%), article summary (30%), practical lab outputs (15%), industrial visit report (10%), and reflection journal (15%).

How to Apply

  1. Access the official AICTE ATAL portal online.
  2. Create a new candidate profile via the “Signup” link or log into your existing account.
  3. Fill in your general personal and academic details in the profile section.
  4. Locate the FDP titled “Drone-Based Multi-Sensor Remote Sensing and AI for Geospatial and Environmental Applications” organized by Vasavi College of Engineering.
  5. Upload a JPEG copy of your identity card and a PDF copy of your NOC from your present organization, then submit the application.

Important Dates

EventDate
Programme Start Date17 August 2026
Programme End Date22 August 2026

Important Links

ResourceLink
Apply OnlineClick Here
Download FDPs BrochureDownload
Download FDP ScheduleDownload

Contact Details

  • Official Address: Department of Information Technology, Vasavi College of Engineering, Ibrahimbagh, Hyderabad, Telangana – 500031.
  • Phone: +91-9866670213 (Dr. K. Ram Mohan Rao, Coordinator & HoD).
  • Email: hodit@staff.vce.ac.in / hitendrasarma@staff.vce.ac.in.

FAQs

What is the central focus of the ATAL FDP Vasavi College of Engineering?
The program focuses on drone-based multi-sensor remote sensing, RGB/LiDAR data processing, GIS tools, and AI integration for environmental and geospatial applications.

Is there any fee charged for attending this training course?
No, registration and participation are completely free as the program receives full sponsorship from the AICTE ATAL Academy.

Who are the eligible target participants for this offline program?
Assistant Professors, Associate Professors, Ph.D. scholars, and PG students in technical disciplines are eligible to apply.

What documents must candidates upload during online registration?
Applicants must upload a valid institutional identity proof (JPEG) and a signed No Objection Certificate (PDF) from their present organization.

What are the requirements for receiving the final program certificate?
Participants must achieve a minimum of 80% attendance and secure at least 70% cumulative weightage across tests, lab outputs, article summaries, industrial visit reports, and reflection journals.

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