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ATAL FDP on Recent Trends in Artificial Intelligence & Data Science and PDEA’s College of Engineering, Manjari, Pune (Jan 12, 2026)
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Empowering Educators in the Era of AI & Data Science
Are you an educator, research scholar, or PhD candidate aiming to master the latest innovations in computing? The ATAL FDP on Recent Trends in Artificial Intelligence and Data Science is a premier opportunity designed to significantly enhance your professional competency and research capabilities. This one-week Faculty Development Programme, furthermore, directly addresses the technological shifts mandated by the National Education Policy and the demands of Industry 4.0. Consequently, participation is crucial for staying at the forefront of academic and industry advancements.
Program Highlights
| Feature | Details |
| Program Title | One Week Faculty Development Programme on National Education Policy: Recent Trends in Artificial Intelligence & Data Science |
| FDP Thrust Area | Advanced Computing (Super Computing, AI and Data Science) |
| Organizing Institution & Dept. | PDEA’s College of Engineering, Manjari, Pune, Dept. of Information Technology |
| Dates & Duration | 12th Jan. to 17th Jan. 2026 (Six Days) |
| Mode of Delivery | Online |
| Daily Schedule | Session timings range from 6:00 PM to 9:30 PM on Day 1-4, and 2:00 PM to 8:00 PM on Day 5-6 |
Program Overview
The core objective of this FDP is to provide a nurturing ground for individual development, ultimately enabling effective contributions to society through academic excellence. Specifically, the program connects academic theory with real-world applications in AI/DS, helping faculty move beyond traditional Machine Learning into areas like Deep Learning, NLP, and Large Language Models (LLMs). The Institution, PDEA’s College of Engineering, is recognized as a center of academic excellence, affiliated with Savitribai Phule Pune University (SPPU).
Target Audience: Faculty members, researchers, and PhD Candidates from AICTE-approved institutions are the primary participants.
Eligibility Criteria: While the document does not list specific academic prerequisites, the program is designed for faculty and researchers who want to upgrade their knowledge in engineering and technology.
Curriculum & Topics Covered
The comprehensive six-day curriculum focuses on both foundational and cutting-edge areas of Artificial Intelligence and Data Science.
- Day 1 (Inaugural, 6:00 PM – 9:30 PM): Introduction to AI, ML, and DS: Concepts and Real-World Impact, followed by an expert talk on “How AI is Reshaping Science, Education, and Society”.
- Day 2 (6:00 PM – 9:00 PM): Supervised & Unsupervised Learning, Classification Models in Scikit-learn (Decision Tree, SVM, KNN), and essential Math for AI: Linear Algebra, Probability, and Optimization.
- Day 3 (6:00 PM – 9:00 PM): Basics of Deep Learning: Perceptrons, CNNs, and RNNs, Modern DL Trends (Transformers, Attention Mechanisms), and Image Classification using CNN in Keras.
- Day 4 (6:00 PM – 9:00 PM): Introduction to NLP, Generative AI and Large Language Models (Prompt Engineering, RAG), and building a Chatbot with Hugging Face Transformers.
- Day 5 (2:00 PM – 7:30 PM): Data Preprocessing, Feature Engineering, Dimensionality Reduction, MLOps: CI/CD for ML, Deployment, and Monitoring with Streamlit, and building/deploying an ML Pipeline with Sklearn.
- Day 6 (2:00 PM – 8:00 PM): Streamlit, Responsible AI, XAI, and Ethical Frameworks, AI at the Edge (Federated Learning, TinyML), and Domain-Specific AI applications in Healthcare, Finance, and Education.
Resource Persons
The program features eminent speakers from top academic institutions and leading industries, ensuring a rich blend of theoretical and practical knowledge.
| Name of the Expert | Designation & Organization | Expertise/Session Topics | Years of Experience |
| Dr. Parikshit N. Mahalle | Dean R&D, Professor, Computer Engineering, VIT, Pune | Introduction to AI/ML/DS, Exploratory Data Analysis | 25+ |
| Mr. Neeraj Saraswat | General Manager, Tata Communications | Expert Talk on “How AI is Reshaping Science, Education, and Society” | 22+ |
| Dr. Radhika Akshay Bhagwat | Assistant Professor, Cummins COEW, Pune | Supervised & Unsupervised Learning, Model Evaluation | 20+ |
| Harshwardhan Tiwari | Expert in Gen AI, LLM Models, RAG Agentical, HuggingFace, IBM, Banglore | Math for AI: Linear Algebra, Probability, and Optimization | 17+ |
| Dr. Lalit Patil | Professor, SKNCOE, Pune | Basics of Deep Learning, Modern DL Trends | 22+ |
| Mr. Sachin Kasliwal | All Engineering Manager, HP Pune | Image Classification using CNN, Foundation Models (GPT, BERT, LLAMA) | 22+ |
| Dr. Sonali Antad | Assistant Professor, VIT Pune | Introduction to NLP, Generative AI and LLMs | 18+ |
| Dr. Swati Shirke | Associate Professor, Pimpri Chinchwad University | Data Preprocessing, Feature Engineering, MLOps, Streamlit | 15+ |
| Dr. Rahul Ganpatrao Sonkamble | Assistant Professor, Pimpri Chinchwad University | Responsible AI, XAI, and Ethical Frameworks | 15+ |
| Mr. Govind Kulkarni | Senior DevOps Engineer @ Ericsson Ireland | Build a Chatbot with Hugging Face Transformers | 12+ |
| Amol Pandurang Patil | Regional Head, Edunet Foundation | Build, Save & Deploy a ML Pipeline with Sklearn | 10+ |
| Vivek Vijay Ramdhave | Expert in Java, Guidewire, Gen AI, Capgemini | AI at the Edge: Federated Learning, TinyML | 10+ |
| Shivank Kumar Sharma | QA Engineer at Brillio Pvt Ltd | Domain-Specific AI: Healthcare, Finance, Environment, Education | 10+ |
Learning Outcomes
Participants will be empowered with the knowledge, skills, and resources necessary to lead in the field of Artificial Intelligence and Data Science. Specifically, key skills include:
- Bridging Theory and Practice: Moving beyond traditional Machine Learning into Deep Learning, NLP, and LLMs.
- Practical Hands-on Skills: Gaining experience in Data Cleaning, Feature Engineering, ML model building with Scikit-learn, and Deep Learning with TensorFlow/Keras. * Modern Tool Proficiency: Utilizing tools like Google Colab, Hugging Face, and Streamlit for app development and deployment.
- Research & Innovation Boost: Identifying new research areas, including Foundation Models, LLMS, AI for edge devices, and federated learning.
- Real-World Impact: Designing AI-powered solutions for smart campuses, education personalization, and predictive analytics for industry.
Certification & Assessment
The program is organized in association with ATAL Academy, AICTE, New Delhi, which ensures a high standard of quality.
- Certification Authority: AICTE ATAL Academy issues the certificate.
- Attendance Requirement: Participants must attend the program with a minimum of 80% attendance.
- Assessment Criteria: Certification is issued upon scoring a minimum of 70% marks in the online test and completing the feedback. The online test and feedback will be conducted on Day 6.
Registration Details
| Detail | Information |
| Registration Link (Portal) | https://atalacademy.aicte-india.org/ (Registration is done through the official ATAL portal) |
| Online Registration Contact | Dr. D. S. Hirolikar: 9552513316; Prof. Shalu Saraswat: 8055894328 |
| Last Date of Registration | 15th Dec. 2025 |
| Registration Fee | No Registration Fees |
| Selection Criteria | Selection is typically first-come, first-served due to limited seats. |
| Schedule Link | click here |
| Brochure Link | click here |
Contact Information
For administrative or registration inquiries, kindly use the following channels:
| Role | Name | Phone Number | Email/Website |
| Convener | Dr. Ritesh V. Patil (Principal, PDEA’s College of Engineering) | – | sapcoeh@rediffmail.com |
| Coordinator | Dr. D. S. Hirolikar (Head of Information Technology Dept.) | 9552513316 | www.pdeacoem.org |
| Co-coordinator | Prof. Shalu Saraswat | 8055894328 | – |
Additional Information
Permissions: A Permission Letter to attend the workshop must be printed on the Institute Letter Head. This is a mandatory instruction for candidates.
Platform: Since the FDP is online, sessions will likely be held via a common virtual platform. The schedule mentions utilizing Google Colab and various specialized software such as Scikit-learn, Keras, TensorFlow, and Hugging Face Transformers for hands-on experience.
Key Highlights
- Industry Collaboration: The program features experts like the General Manager at Tata Communications and the All Engineering Manager at HP Pune, strengthening the industry-institute link.
- Hands-on Training: The curriculum emphasizes practical skills, including app development with Streamlit, LLMs, and prompt engineering, ensuring participants gain tangible takeaways.
- Focus on Modern Tools: Dedicated sessions cover MLOps, CI/CD for ML, and the use of tools like Hugging Face, enabling a modern approach to AI development.
Frequently Asked Questions (FAQs)
Q: Is the ATAL FDP on Recent Trends in Artificial Intelligence and Data Science free of cost?
A: Yes, there are absolutely no registration fees for this Faculty Development Programme.
Q: What is the last date to register for the FDP?
A: The last date for online registration is swiftly approaching, closing on $15^{th}$ Dec. 2025.
Q: Where can I find the official registration link?
A: All candidates must register through the official ATAL Portal. The link is: https://atalacademy.aicte-india.org/.
Q: Are certificates provided, and what are the requirements?
A: Certificates are provided by the AICTE ATAL Academy. Consequently, participants must achieve a minimum of 80% attendance and score at least 70% in the post-program online test.
Q: Is accommodation provided for this FDP?
A: Since this is an Online Faculty Development Programme, accommodation is not relevant or provided.