ATAL FDP Applied Quantum Intelligence BIT Bangalore

The ATAL FDP Applied Quantum Intelligence BIT Bangalore initiative introduces an intensive academic research track for technical educators and research scholars. Sponsored by the AICTE Training and Learning (ATAL) Academy, this six-day offline Faculty Development Program (FDP) focuses on cutting-edge architectures including Generative AI, prompt engineering, and agentic workflows. The centralized workshop is organized and hosted by the Department of CSE (Data Science) at the Bangalore Institute of Technology. Notably, the program features expert-led technical laboratories, industrial visits, and research article writing training. Eligible participants can complete their registration completely free of cost through the official AICTE web portal.

Programme Highlights

Organising Body	Mode	Duration	Location
Department of CSE (Data Science), BIT Bangalore	Offline (Institutional)	6 Days	BIT Campus, Bengaluru, Karnataka

About the Programme

The overarching organizational mandate of the AICTE Training and Learning (ATAL) Academy centers on empowering higher education faculty, upgrading technical competencies, and standardizing global research capabilities among Indian educators. Under this framework, the host institution provides an immersive platform to explore advanced intelligent automation tools. The primary intent of this multi-day convergence is to equip academic staff with next-generation tools, helping them bridge the gap between abstract computing theories and high-impact engineering applications.

Furthermore, the academic itinerary relies on an interactive structure blending expert panel sessions with physical laboratory modules. The foundational curriculum is designed to unpack complex neural networks, quantum computing models, and automated software agents. Participants handle live research translation tasks, cross-reference data workflows, and review high-tier formatting protocols. Accordingly, this six-day training serves as a vital professional incubator for researchers aiming to deploy intelligent automation within their scientific portfolios.

Eligibility Criteria

Target Audience

• Faculty members actively serving in AICTE-approved higher education institutions across India.
• Research scholars pursuing advanced studies in Computer Science, Information Technology, Data Science, or aligned engineering branches.
• Postgraduate master’s students currently enrolled in M.Tech degree tracks at recognized universities.

Experience & Program Conditions

• Participants must possess a clear interest in integrating advanced intelligent systems into their current teaching or curriculum design.
• Candidates must commit to attending the physical sessions offline at the Bengaluru campus for the full six-day block.
• Baseline technical literacy in data algorithms, mathematics, or elementary computing concepts is highly recommended.

Benefits & Funding

The program operates under a fully funded model by the AICTE academy, removing financial friction to support academic upskilling.

Component	Amount or Detail
Registration Fee	Completely FREE for all eligible institutional participants
Instructional Support	Expert-led laboratory handbooks, training guides, and presentation slide packs
Certification Prerequisite	Minimum 70% cumulative evaluation score spanning attendance, journals, and summaries

Topics / Themes Covered

• Generative AI Foundations: Introduction to GenAI networks, medical technology integrations, and automated healthcare tools.
• Quantum Computing Track: Fundamentals of quantum intelligence, algorithm analysis, and data science mapping.
• Prompt Engineering: Core optimization techniques, advanced context structuring, and technical prompt design.
• Agentic AI Systems: Multi-agent architectures, automated decision-support frameworks, and research workflows.
• Academic Publishing: High-impact journal manuscript formatting, citation methods, and article summarization.

Selection Process

• Screening of submitted digital portfolios against institutional AICTE validation parameters.
• Shortlisting of eligible faculty, scholars, and M.Tech candidates based on departmental capacity.
• Final cohort confirmation followed by the issuance of institutional entry logs.

How to Apply

1. Navigate directly to the official AICTE ATAL portal.
2. If you are a new user, create a candidate profile via the signup link at.
3. Log into the system using your verified institutional credentials.
4. Search the active workshop catalog for the program titled “Applied Quantum Intelligence” hosted by BIT Bangalore.
5. Complete the mandatory fields, attach your institutional endorsement papers if prompted, and submit your registration.

Important Dates

Event	Date / Window
FDP Commencement Date	29 June 2026
FDP Conclusion Date	04 July 2026
Daily Operational Window	Monday to Saturday: 09:30 AM to 05:30 PM

Important Links

Resource	Link
Apply Online	Click Here
Download FDP Brochure	Download
Download FDP Schedule	Download

Contact & Management Details

Program Leadership

• Patrons: Sri. Ashok S. D. Jayaram (Chairman, BIT) and Dr. Vijaya Prakash A. M. (Principal, BIT).
• Chairs: Dr. Shankar Gowda B. N. (Head, CSE-DS) and Dr. Tejashwini P S (Assistant Professor, CSE-DS).

Inquiry Hotlines

• Dr. Tejashwini P S: +91 99027 14366
• Prof. Prathik K: +91 86604 72534
• Campus Address: Bangalore Institute of Technology, K. R. Road, V. V. Pura, Bangalore – 560 004, Karnataka, India.

FAQs

1. What is the focus keyphrase for this training and who coordinates the syllabus?
The program handles the ATAL FDP Applied Quantum Intelligence BIT Bangalore metrics, managed by the Department of CSE (Data Science).

2. Is there a processing fee required to submit an application profile?
No, registration for this AICTE ATAL academy sponsored professional development workshop is completely free of charge for all eligible candidates.

3. What explicit threshold parameters govern the issuance of the course certificate?
Participants must achieve at least a 70% cumulative score evaluating their attendance, daily lab outputs, industrial visit report, reflection journal, and a two-page summary.

4. Can outstation engineering researchers participate in the tracks remotely?
No, this is strictly a six-day offline, residential learning track conducted on-site at the Bengaluru campus venue.

5. What practical fields are integrated into the technical session time schedule?
The time schedule covers introductory health tech GenAI, quantum computing algorithms, prompt engineering labs, multi-agent workflows, and high-impact writing tutorials.