Ahalia School of Engineering & Technology
Department of Computer Science & Engineering
🎓 6-Day Faculty Development Programme
Next-Generation Automated Systems: Multimodal Learning, MLOps, Responsible Data Analytics & Quantum Processing
🗓 Dates: 20th – 25th July 2026
This FDP is designed for:
✅ Faculty members of AICTE-approved institutions
✅ PG Scholars
✅ Ph.D. Research Scholars
✨ Programme Highlights
- Trustworthy & Responsible AI
- Explainable AI (XAI) & AI Governance
- Multimodal Learning & Transformers
- Data Engineering & MLOps
- Quantum Computing & Quantum Machine Learning
- Expert Sessions by Eminent Academicians & Industry Professionals
- Research Article Discussions and Industry-Relevant Learning
📝 Last Date for Registration: 15th July 2026
📍 Venue: Ahalia School of Engineering & Technology, Palakkad, Kerala
📌 Registration through the AICTE ATAL Academy Portal.
For further details, please refer to the attached brochure.
We cordially invite all eligible faculty members, PG scholars, and research scholars to participate and make the most of this enriching learning opportunity
Day 1 of AICTE ATAL Academy Sponsored FDP
The Department of Computer Science and Engineering, Ahalia School of Engineering and Technology (ASET), successfully conducted the first day of the AICTE ATAL Academy Sponsored Faculty Development Programme (FDP) on 20 July 2026. The six-day FDP, titled “Next-Generation Automated Systems: Multimodal Learning, MLOps, Responsible Data Analytics and Quantum Processing,” witnessed the participation of 38 faculty members, researchers, and postgraduate students from AICTE-approved institutions across India.
The technical sessions commenced with an expert lecture by Dr. M. Sabarimalai Manikandan, Associate Professor, Department of Electrical Engineering, IIT Palakkad, on Trustworthy Artificial Intelligence, covering AI ethics, fairness, accountability, transparency, governance, and multimodal AI systems. The afternoon session was delivered by Dr. S. Gunasekaran, Professor and Head, Department of Computer Science and Engineering, ASET, on CNNs, RNNs, Feature Representation, and Transformer Models for multimodal data. Participants also actively engaged in a research article discussion and a hands-on training session on responsible AI tools and techniques.
The interactive sessions provided participants with valuable insights into emerging technologies, reinforcing the Department of Computer Science and Engineering’s commitment to promoting excellence in teaching, research, and innovation.
Day 2
The second day of the AICTE Training and Learning (ATAL) Academy Sponsored Six-Day Faculty Development Programme on “Next-Generation Automated Systems: Multimodal Learning, MLOps, Responsible Data Analytics and Quantum Processing” was successfully conducted by the Department of Computer Science and Engineering, Ahalia School of Engineering & Technology, on 21 July 2026.
The sessions for the day were delivered by experts from LeSuccess Solutions, Coimbatore, who shared valuable insights into the rapidly evolving field of multimodal artificial intelligence. The technical sessions covered the fundamentals of multimodal learning, different data modalities including text, image, audio, and video, fusion techniques such as early, late, and hybrid fusion, and their real-world applications.
The afternoon sessions focused on advanced topics including transformers, cross-modal embeddings, and attention mechanisms, highlighting their significance in developing intelligent AI systems capable of processing multiple forms of data.
To provide participants with practical exposure, hands-on workshops were conducted. These practical sessions enabled participants to gain hands-on experience in developing next-generation AI applications.
The interactive sessions encouraged active participation, technical discussions, and knowledge sharing among faculty members from various institutions, making the second day of the FDP both informative and application-oriented.
Day 3 (22 July 2026)
Day 3 of the AICTE Training and Learning (ATAL) Academy Sponsored Six-Day Faculty Development Programme on “Next-Generation Automated Systems: Multimodal Learning, MLOps, Responsible Data Analytics and Quantum Processing” was conducted successfully on 22 July 2026 at the Department of Computer Science and Engineering, Ahalia School of Engineering & Technology (ASET). The day’s sessions focused on Machine Learning Operations (MLOps), data engineering, and feature engineering, providing participants with practical insights into developing, deploying, and maintaining intelligent AI systems.
Session 5: Introduction to MLOps
The forenoon session (9:30 AM – 12:00 PM) was delivered by Dr. Sruthy Manmadhan, Assistant Professor, NSS College of Engineering, Palakkad.
Dr. Sruthy introduced the participants to the fundamentals of Machine Learning Operations (MLOps), highlighting its role in streamlining the deployment and management of machine learning models in production environments. She explained the Machine Learning lifecycle, covering stages such as data collection, model development, validation, deployment, monitoring, and continuous improvement.
The session also emphasized the importance of Continuous Integration and Continuous Deployment (CI/CD) for Machine Learning, demonstrating how automation, version control, testing, and deployment pipelines improve the scalability, reproducibility, and reliability of AI applications. The interactive discussions enabled participants to understand industry best practices for operationalizing machine learning solutions.
Session 6: Data Engineering and Feature Engineering
The afternoon session (2:00 PM – 4:30 PM) was handled by Dr. Anuraj Mohan, Associate Professor, NSS College of Engineering, Palakkad.
The session focused on the data engineering pipeline, emphasizing the importance of high-quality data for building effective machine learning models. Dr. Anuraj explained various data preprocessing techniques, including handling missing values, data cleaning, normalization, and transformation.
Participants also explored methods for identifying and mitigating dataset bias, along with techniques for feature extraction to improve model performance. The session introduced Natural Language Processing (NLP) embeddings, demonstrating how textual data can be transformed into meaningful numerical representations. In addition, participants gained insights into image and audio feature engineering, learning how multimedia data is processed to extract relevant features for intelligent applications.
Day 4
The fourth day of the AICTE Training and Learning (ATAL) Academy Sponsored Six-Day Faculty Development Programme on “Next-Generation Automated Systems: Multimodal Learning, MLOps, Responsible Data Analytics and Quantum Processing” was successfully conducted by the Department of Computer Science and Engineering, Ahalia School of Engineering & Technology, on 23 July 2026.
The technical sessions were led by Dr. D. Surendran, Founder & Director, SKS Skill Fastener, Coimbatore, who shared his expertise on the principles and practices of Responsible Artificial Intelligence and Explainable AI (XAI). He introduced participants to the concepts of explainable AI, model interpretability, ethical AI deployment, and the importance of building transparent and trustworthy AI systems.
A dedicated session on research article discussion provided participants with practical guidance on reading, analyzing, and critically evaluating research papers, helping faculty members strengthen their research methodology and academic writing skills.
The afternoon sessions focused on Responsible AI Principles, Bias Detection, and Fairness in AI, emphasizing techniques for identifying and mitigating bias in machine learning models while promoting ethical and equitable AI solutions.
The programme concluded with an engaging hands-on training session. The sessions witnessed enthusiastic participation from faculty members representing institutions across the country. The interactive discussions, practical demonstrations, and research-oriented activities made the fourth day of the FDP highly informative, enabling participants to strengthen their understanding of ethical AI practices and responsible deployment of intelligent systems.
Day 5
The fifth day of the AICTE Training and Learning (ATAL) Academy Sponsored Six-Day Faculty Development Programme on “Next-Generation Automated Systems: Multimodal Learning, MLOps, Responsible Data Analytics and Quantum Processing” was successfully conducted by the Department of Computer Science and Engineering, Ahalia School of Engineering & Technology, on 24 July 2026.
The day commenced with an industrial visit to Techin, IIT Palakkad, followed by a visit to the IIT Palakkad Technology IHUB Foundation. As part of the visit, Mr. Midhu Unnithan, Chief Operating Officer, Techin, delivered an inspiring session on Entrepreneurship. He discussed the startup ecosystem, innovation management, technology commercialization, and opportunities available for researchers and faculty members to translate innovative ideas into successful ventures.
The participants also attended an interactive session by Dr. Rajeswari R, Manager – HR & Administration, Technology IHUB Foundation, who shared valuable perspectives on organizational management, leadership, human resource practices, and administrative excellence in technology and innovation organizations.
The afternoon technical session was handled by Mr. Maharaj M, CEO, BCBUZZ Technologies, Coimbatore, who introduced participants to the fundamentals of Quantum Computing. The session covered Quantum Computing Basics, Qubits, Quantum Gates, Quantum Circuits, and an Introduction to Quantum Machine Learning (QML). Participants gained insights into the principles of quantum computation and its emerging applications in artificial intelligence, optimization, cryptography, and data analytics.
The fifth day of the FDP successfully combined industrial exposure, entrepreneurship, organizational management, and advanced technical learning. The industrial visit to Techin – IIT Palakkad Technology IHUB Foundation, along with the expert sessions and the technical lecture on quantum computing, provided participants with a comprehensive understanding of innovation, research, and next-generation technologies, making the programme highly enriching and impactful.
The sixth and final day of the AICTE Training and Learning (ATAL) Academy Sponsored Six-Day Faculty Development Programme on “Next-Generation Automated Systems: Multimodal Learning, MLOps, Responsible Data Analytics and Quantum Processing” was successfully conducted by the Department of Computer Science and Engineering, Ahalia School of Engineering & Technology, on 25 July 2026.
The technical sessions were delivered by Dr. Kannimuthu S, Professor, Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore. The sessions focused on advanced concepts in Quantum Machine Learning (QML) and MLOps, providing participants with valuable insights into the integration of quantum computing with modern machine learning workflows.
The expert introduced participants to Quantum Machine Learning Models, including Variational Quantum Circuits (VQC) and Hybrid Models, explaining their architectures, applications, and potential advantages over classical machine learning techniques. The session also covered MLOps pipelines and deployment strategies, emphasizing best practices for developing, deploying, monitoring, and maintaining scalable AI and machine learning solutions. In addition, various industry use cases and implementation challenges were discussed, enabling participants to understand the practical aspects of adopting emerging AI technologies in real-world scenarios.
A dedicated session on research article summary and discussion encouraged participants to analyze research findings, share key takeaways, and engage in meaningful academic discussions. This was followed by an MCQ-based assessment and Reflection Journal activity, allowing participants to evaluate their learning outcomes and reflect on the knowledge gained throughout the six-day programme.
The programme concluded with the Valedictory Session. The session also included participant feedback, where attendees appreciated the well-structured technical sessions, hands-on learning opportunities, and industrial exposure provided throughout the FDP. The event concluded with a Vote of Thanks, expressing gratitude to the AICTE Training and Learning (ATAL) Academy, the resource persons, participants, organizing committee, and all those who contributed to the successful conduct of the programme.
The six-day FDP successfully brought together academicians, researchers, and industry experts to explore emerging technologies in Artificial Intelligence, Multimodal Learning, MLOps, Responsible Data Analytics, and Quantum Computing, providing participants with enhanced technical knowledge, practical exposure, and valuable opportunities for research and professional development.
