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ATAL FDP GIET University Gunupur: Applied Artificial Intelligence for Industry
The ATAL FDP at GIET University Gunupur is an AICTE-sponsored Faculty Development Program focusing on “Applied Artificial Intelligence for Industry from Data Analytics to Scalable Deployment”. Organized by the Department of Computer Science and Engineering, this program is designed to equip academicians and researchers with practical, industry-oriented expertise in building end-to-end AI solutions.
Programme Highlights
| Feature | Details |
| Programme Name | Applied Artificial Intelligence for Industry from Data Analytics to Scalable Deployment |
| Organising Body | Department of Computer Science and Engineering, GIET University, Gunupur |
| Sponsor | AICTE Training and Learning (ATAL) Academy |
| Duration | 7th September – 12th September 2026 & 14th September – 19th September 2026 |
| Mode | Offline (09:30 AM – 05:30 PM) |
About the Programme & Objectives
The program focuses on the complete AI lifecycle, starting from data collection, pre-processing, and exploratory data analytics to advanced machine learning and deep learning model development, evaluation, and optimization. It emphasizes deployment strategies using modern tools such as cloud platforms, containerization, and MLOps practices for scalable and reliable AI systems in real-world industrial environments.
Participants will gain hands-on training in the Intel® Unnati AI Lab, a state-of-the-art industry-academia initiative established with Intel, Hewlett Packard Enterprise, and Edgate Technologies. This lab provides high-performance computing systems and AI development platforms, enabling participants to work with industry-grade infrastructure. The FDP aims to bridge the gap between theoretical knowledge and industrial application, enhancing teaching, research, and consultancy capabilities in emerging AI domains.
GIET University, Gunupur, established in 1997, is a highly disciplined institution known for its quality education and state-of-the-art infrastructure, including 110 laboratories and a 100% ragging-free environment. The Department of Computer Science & Engineering provides a professional learning environment with up-to-date computing facilities and a dedicated faculty.
Eligibility & Registration
- Target Audience: The programme is open to the faculty of Engineering Universities/Institutes/colleges, researchers, practitioners, industry personnel, and Ph.D. students.
- Targeted Participants: 50-70.
- Registration Fee: There are no registration fees for any participant.
Core Themes & Topics
- Introduction to Applied AI & Industry Landscape.
- Data Analytics & Pre-processing (Data Acquisition, Cleaning, and Exploratory Data Analysis).
- Machine Learning for Industry Applications (Supervised and Unsupervised Learning).
- Deep Learning Fundamentals & Advanced AI Techniques (Computer Vision, Natural Language Processing).
- Data-Centric AI, Feature Engineering, & Optimization.
- AI Deployment & Scalable System Architectures (Cloud and Edge Computing Platforms).
- MLOps & AI Lifecycle Management (Bridging models and production systems).
- High-Performance Computing & AI Acceleration.
- AI applications in smart agriculture, cyber security, healthcare, and IoT.
- Ethics, Bias, and Responsible AI in Industrial Deployment.
Eminent Resource Persons
Technical sessions and industry-based problem-solving workshops will be conducted by experts including:
- Mr. Raja Ramesh Thamada (Assoc Director – MILE, Miracle Software Systems, Inc.).
- Mr. Vidyasagar T (Senior Principal Architect, Zelis).
- Ms. Umarani T (Developer Productivity Specialist-Global Black Belt, Microsoft).
- Dr. Bala Prasad Peddigari (Chief Innovation Officer and Global Head – Technology Advisory Services, TCS).
- Mr. Sairam Palabindela (Department of Homeland Security, Cyber Security Expert, Sairam Digital).
- Mr. Rama Koganti (UNT).
- Mr. Damtuluri Ravi Kishore Verma (Service Now Platform).
- Mr. Bala Yallapantula (Bio Red laboratories).
- Dr. Ramaraju Poosapati (TCS).
Important Dates
| Event | Date |
| Last Date for Receipt of Application | 5th August 2026 |
| Intimation to Selected Candidates | 10th August 2026 |
| Programme Dates | 7th-12th September 2026 & 14th-19th September 2026 |
Important Dates
| Resource | Link |
| Apply Online | Click Here |
| Download FDP Brochure | Download |
| Download FDP Schedule | Download |
Contact Details
- Coordinator: Dr. Raghvendra Kumar (Professor, Department of CSE) | Mob.: +91-7804068698 | Email: raghvendra@giet.edu.
- Co-Coordinator: Dr. Bidush Kumar Sahoo (Associate Professor, Department of CSE) | Mob.: +91- 7894713238 | Email: bidushsahoo@giet.edu.
- Official Address: GIET University, Gunupur, Rayagada, Odisha-765022, India.
FAQs
What is the core focus of the ATAL FDP at GIET University Gunupur?
The program focuses on applied artificial intelligence for industry, covering the complete AI lifecycle from data analytics and pre-processing to MLOps and scalable deployment on cloud platforms.
Are participants required to pay any registration fee?
No, there are no registration fees from any participant.
Who is eligible to participate in this training program?
Faculty of Engineering Universities/Institutes/colleges, researchers, practitioners, industry personnel, and Ph.D. students are eligible to attend.
Will there be hands-on training?
Yes, the program offers hands-on training in the Intel® Unnati AI Lab, allowing participants to work with industry-grade infrastructure, live projects, and dedicated days for industry-based problem-solving.