Registration Open for FDP PRIMEAI-2025 | December 23-30, 2025 | Registration Fee: ₹250 (MMMUT/Online) | ₹1000 (Offline External) | Hybrid Mode Available | 10+ International & Industry Expert Speakers | Certificate by MMMUT | Limited Seats - Register Now! Registration Open for FDP PRIMEAI-2025 | December 23-30, 2025 | Registration Fee: ₹250 (MMMUT/Online) | ₹1000 (Offline External) | Hybrid Mode Available | 10+ International & Industry Expert Speakers | Certificate by MMMUT | Limited Seats - Register Now!

About FDP PRIMEAI-2025

Process-centric and Reward-based Interpretable Models in Explainable AI

December 23-30, 2025 | Hybrid Mode | 8-Day Comprehensive Programme

8
Days Programme
10+
Expert Speakers
11
Expert Sessions
100%
Hands-on Training

About the FDP

The Faculty Development Programme (FDP) on Process-centric and Reward-based Interpretable Models in Explainable AI (PRIMEAI-2025) is a comprehensive 8-day programme meticulously designed to provide participants with in-depth knowledge of Machine Learning (ML), Deep Learning (DL), and Explainable AI (XAI).

This FDP addresses contemporary challenges in AI by emphasizing process-based reward interpretability, combining state-of-the-art ML/DL techniques with explainable AI frameworks. The programme focuses on making AI models transparent, accountable, and trustworthy - essential attributes for modern AI applications in critical domains like healthcare, finance, and autonomous systems.

Participants will gain hands-on experience with cutting-edge tools and frameworks including Captum, What-If Tool, TensorBoard, SHAP, LIME, and more. Learn from distinguished faculty from premier international institutions (University of Ljubljana), top IIITs (Allahabad, Lucknow), and industry leaders from Google Cloud Platform and Microsoft Japan.

Key Training Areas

  • ML/DL Foundations: Core algorithms, neural networks, feature engineering, and evaluation metrics
  • Explainable AI (XAI): SHAP, LIME, Integrated Gradients, DeepLIFT, Grad-CAM, and attention mechanisms
  • PRIMEAI Framework: Process + Reward + Interpretability approach for transparent AI systems
  • Advanced DL: CNNs, RNNs/LSTMs, Transformers, GANs, and LLMs with interpretability
  • Reinforcement Learning: Reward modeling, policy gradients, and multi-agent RL
  • Industry Applications: Healthcare diagnostics, financial fraud detection, autonomous systems, and NLP
  • XAI Tools: Hands-on with Captum, What-If Tool, TensorBoard, and visualization frameworks
  • Future Directions: Causal inference, counterfactuals, foundation models, and ethical AI

About MMMUT Gorakhpur

Madan Mohan Malaviya University of Technology, Gorakhpur was established in 2013 by the Government of Uttar Pradesh as a non-affiliating technical university, converted from the prestigious Madan Mohan Malaviya Engineering College (est. 1962).

The university is committed to providing quality technical education and fostering innovation and research. With state-of-the-art infrastructure, modern laboratories, and a dedicated faculty comprising accomplished researchers and educators, MMMUT has earned its place among India's premier technical institutions.

NIRF Rankings:
• 60th in Engineering
• 68th among Universities
• 99th Overall in India
• NAAC Grade "A" University

CSE Department

The Department of Computer Science & Engineering was established in 1984 and has since earned recognition as one of the top Computer Science & Engineering programs in Uttar Pradesh.

The department offers comprehensive UG (B.Tech), PG (M.Tech, M.Sc.), and Ph.D. programs with state-of-the-art facilities including:

  • Advanced computing labs with latest hardware
  • AI/ML research centers and GPU clusters
  • Industry collaboration platforms
  • Dedicated faculty with expertise in AI, ML, DL, IoT, Cybersecurity

Our faculty comprises accomplished researchers and educators dedicated to nurturing the next generation of computing professionals and innovators.

Programme Features

Why PRIMEAI-2025 is the Perfect Learning Experience

Hybrid Mode

Attend online from anywhere or join us offline at MMMUT campus for face-to-face interactions

International Faculty

Learn from experts at University of Ljubljana, Google Cloud, Microsoft Japan, and premier IIITs

Industry Insights

Guest lectures from Google Cloud Platform and Microsoft on real-world AI applications

Hands-on Labs

Practical sessions with XAI tools: Captum, SHAP, LIME, TensorBoard, What-If Tool

Certificate

Official certificate from MMMUT for participants with 80%+ attendance

Networking

Connect with faculty, researchers, and industry professionals from across India

Learning Materials

Comprehensive digital resources, code repositories, and research papers

Tea/Coffee Breaks

High tea during inaugural and valedictory sessions with informal networking

Programme Objectives

Our comprehensive programme aims to achieve the following learning outcomes:

1
Foundational Mastery: Comprehensive understanding of ML, DL, and XAI concepts from basics to advanced topics
2
Practical Skills: Develop hands-on skills in implementing explainable AI models using industry-standard tools
3
PRIMEAI Framework: Master process-centric reward modeling and interpretability in reinforcement learning
4
Ethical AI: Understand ethical implications, bias mitigation, and responsible AI development practices
5
Tool Proficiency: Hands-on experience with Captum, SHAP, LIME, TensorBoard, What-If Tool, and visualization frameworks
6
Research & Networking: Foster research collaboration, academic networking, and future research opportunities

👥 Who Should Attend?

This FDP is designed for participants from diverse academic and professional backgrounds:

  • Faculty Members: Professors, Associate Professors, Assistant Professors from engineering colleges, universities, and technical institutions
  • Research Scholars: Ph.D. and M.Tech scholars pursuing advanced degrees in AI, ML, Computer Science, and related fields
  • Postgraduate Students: M.Tech, M.Sc., MCA students specializing in computer science, data science, AI/ML domains
  • Industry Professionals: Data scientists, ML engineers, AI researchers, and professionals working in AI/ML development and deployment

📈 Learning Outcomes

By the end of this programme, participants will be able to:

  • Design and implement interpretable machine learning models for real-world applications
  • Apply XAI techniques (SHAP, LIME, Grad-CAM) to explain black-box models
  • Develop reward-based interpretable systems using the PRIMEAI framework
  • Utilize modern XAI tools and visualization frameworks for model debugging and interpretation
  • Understand transformer architectures and attention mechanisms in LLMs and vision models
  • Implement responsible AI practices with bias detection and mitigation strategies
  • Apply learned concepts to industry domains: healthcare, finance, autonomous systems, NLP
  • Contribute to XAI research with knowledge of future directions and open problems

🚀 Ready to Master Explainable AI?

Join us for an immersive 8-day journey into the world of interpretable and transparent AI systems

Registration Fee: ₹250 (Online/MMMUT) | ₹1000 (Offline External)

Register Now →