KOLLAM, KERALA – The Department of Computer Science & Engineering at the Bishop Jerome Institute (BJI), in academic collaboration with the ACM Chapter and PhiScape, has officially opened registrations for its upcoming 6-Day National-Level Faculty Development Programme (FDP) titled "Artificial Intelligence, Generative AI & Advanced Data Analytics for Teaching, Research and Innovation". Scheduled to take place from June 27th to July 2nd, this extensive professional development program is explicitly curated to empower faculty members, academicians, and research scholars with next-generation technological competencies.
Supported actively by the Ministry of Education’s Institution’s Innovation Council (IIC) and the Industry Interaction Cell (BJI), this FDP bridges academic instruction with contemporary industry benchmarks. Designed to seamlessly fit into the schedules of busy working professionals, the live interactive sessions will be hosted online daily from 08:00 PM to 09:30 PM IST.
FDP Vision and Core Objectives
As academic environments rapidly evolve with digital disruption, integrating machine learning tools and Large Language Models (LLMs) into daily pedagogy and research workflows has become critical. The main objectives of this national-level FDP include:
Demystifying Modern AI: Understanding contemporary artificial intelligence paradigms and their natural transition from traditional Machine Learning to disruptive Generative AI.
Advanced Empirical Research: Applying highly analytical and predictive techniques to facilitate complex scholarly research, data-driven hypotheses, and institutional decision-making.
Pedagogical Enhancement via LLMs: Utilizing Large Language Models (LLMs) to innovate instruction delivery, curriculum planning, assessment frameworks, and academic administration.
Cutting-edge Architecture Exploration: Delving deep into autonomous AI agents, Retrieval-Augmented Generation (RAG), and sophisticated multimodal AI systems.
Applied Innovation: Inspiring educators to engineer bespoke, AI-enabled educational tools and robust research solutions.
Meet the Resource Person
To ensure high-caliber training and practical exposure, the technical tracks will be led entirely by Ms. Swathimol, Senior Data Analyst at PhiScape Robotics Pvt. Ltd. Bringing extensive industrial experience in data science workflows, predictive modeling, and agentic AI pipelines, Ms. Swathimol will guide participants through hands-on coding paradigms, real-world case studies, and conceptual deep-dives.
Comprehensive 6-Day Curricular Structure
The syllabus is systematically structured to scale from absolute analytical fundamentals to advanced generative pipelines and ethical frameworks over six intensive days:
Day 1: Foundations of Modern AI and Data Analytics
Topics Covered: Evolution of AI landscape, AI, ML, Deep Learning, Generative AI, Foundation Models, and Industry 5.0. Data Analytics Ecosystem: Analytics Maturity Models, Predictive vs. Prescriptive Analytics, Data Engineering vs. Data Science.
Hands-on: AI-powered data exploration using Google Colab.
Outcome: Deep understanding of the modern AI ecosystem.
Day 2: Advanced Data Analytics and Machine Learning
Topics Covered: Data Preparation for AI systems: Data Cleaning, Feature Engineering, Dimensionality Reduction, and Data Quality Metrics. Machine Learning for Decision Making: Supervised/Unsupervised Learning, Ensemble Methods, and Explainable AI (XAI).
Hands-on: Building predictive models and dynamic analytics dashboards.
Outcome: Design analytics workflows and evaluate ML models.
Day 3: Generative AI and Large Language Models
Topics Covered: Architecture of Generative AI: Transformers, Attention Mechanism, GPT, LLM Ecosystem, and Multimodal AI frameworks. Prompt Engineering: Zero-shot, Few-shot, Chain-of-Thought, and Structured Prompting.
Hands-on: Practice with ChatGPT, Gemini, Claude, and Copilot.
Academic Use Cases: Question banks, outcome mapping, and automated NBA documentation.
Day 4: Agentic AI, Retrieval-Augmented Generation & Research Focus
Topics Covered: Agentic AI Systems: AI Agents, Multi-Agent Systems, and Autonomous Workflows. Retrieval-Augmented Generation (RAG): Vector Databases, Embeddings, Semantic Search, and Knowledge Graphs.
Hands-on: Constructing domain-specific research knowledge assistants.
Research Focus: Automated literature review automation and research proposal generation.
Day 5: Responsible AI, Educational Applications & Future Directions
Topics Covered: Responsible AI: Ethics, Bias, Fairness, Explainability, Privacy, and Data Security. AI in Higher Education: Adaptive Learning, Learning Analytics, and Educational Data Mining.
Demonstration: AI-Enabled Academic Ecosystems & emerging research opportunities and funding/grant pathways.
Day 6: Innovation, Projects and FDP Wrap-Up
Activities: Mini-project development tracks, live faculty presentations, peer-review loops, holistic FDP assessment feedback, and the formal Certification & Valedictory Session.
Outcome: Project showcase and future roadmap design.
Target Software Stack and Ecosystems
Participants will gain rich operational knowledge of leading tools, frameworks, and programming libraries shaping modern AI development, including:
Languages & Environments: Python, Google Colab, Jupyter Notebook
Commercial Platforms: ChatGPT, Gemini, Claude, Microsoft Copilot
Libraries & Orchestration: Scikit-Learn, Pandas, NumPy, Matplotlib, LangChain
Vector Infrastructure: ChromaDB, FAISS
Expected Participant Outcomes
By the conclusion of this national-level program, attending faculty and research scholars will be equipped to:
Fully articulate modern AI, Generative AI, and Advanced Analytics paradigms.
Deploy robust machine learning pipelines to solve cross-disciplinary research constraints.
Design intelligent, AI-enhanced teaching aids, assignments, and structural resources.
Implement production-ready Agentic AI and enterprise RAG systems.
Develop grant-winning research proposals and high-impact institutional projects aligned meticulously with Industry 5.0 protocols.
Registration and Strategic Institutional Details
This program is fully open to all faculty members and research scholars across engineering, management, and science streams globally.
Registration Fee: Nominal investment of ₹ 200/- per participant.
Inquiries & Contact Details: * Ms. Manju J (+91 97478 12882)
Ms. Silpa R. (+91 82812 52636)
Ms. Aryamol A.U (+91 86065 30817)
Convenors: * Dr. Deepa Rajan (HoD CSE, BJI)
Ms. Saniya John (HoD CSE-DS, BJI)
Code. Connect. Create. | Explore. Collaborate. Innovate.
Keywords: Faculty Development Programme, Artificial Intelligence FDP, Generative AI Workshop, Advanced Data Analytics, Bishop Jerome Institute Kollam, PhiScape ACM Chapter, LLM and RAG Training, Data Analytics for Research