Programme Schedule & Resource Persons
Six intensive days featuring international academic researchers, senior consultants, and university professors delivering hands-on insights into modern AI architectures, agentic workflows, and cloud deployments.
Day 1Joe Dhanith P. R.
Assistant Professor
VIT Chennai Campus
Chennai, India
Generative AI for Software Development, Academic Learning, and Research Innovation
Executive Overview
A comprehensive foundational dive into how generative foundation models are reshaping code synthesis, curriculum delivery, and literature review workflows. Explore hands-on strategies for integrating AI copilots into pedagogy and scholarly publication pipelines.
Key Session Modules & Takeaways
- AI-augmented software architecture and automated code review
- Designing conversational AI pedagogical tutors for classroom engagement
- Accelerating systematic literature review and hypothesis formulation with LLMs
Day 2Aashu Dev
Senior Consultant
Marcello Tech
Trichy, India
Cloud-Based AI Services: From Intelligent Computing to Real-World Solutions
Executive Overview
Architecting enterprise-grade AI applications on hyper-scale clouds. Practical demonstration of API-driven intelligent services, multimodal pipelines, serverless inference, and cost-effective deployment patterns for academic and industrial products.
Key Session Modules & Takeaways
- Comparison of cloud AI suites (AWS Bedrock, Azure OpenAI, GCP Vertex)
- Building scalable RAG (Retrieval Augmented Generation) pipelines with vector databases
- Managing token economics, latency trade-offs, and enterprise compliance
Day 3Dr. Mohan Sellappa Gounder
Faculty, Department of Computer Science
King Faisal University
Kingdom of Saudi Arabia
Running AI Locally: Open-Source Language Models and Privacy-Preserving AI
Executive Overview
Demystifying local LLM execution without external API dependencies. Learn how to quantize, run, and fine-tune open-weight architectures (Llama 3, Mistral, Gemma) on commodity hardware with Ollama, vLLM, and privacy-first data boundaries.
Key Session Modules & Takeaways
- 4-bit and 8-bit GGUF quantization techniques for local workstations
- Protecting proprietary research data & student records with zero data egress
- Fine-tuning open weights using LoRA and PEFT on departmental servers
Day 4Dr. Priya Stella Mary I
Assistant Professor, Department of Computer Science
CHRIST (Deemed to be University)
Bangalore, India
Agentic AI for Teaching and Learning: Automating Academic Workflows with n8n
Executive Overview
Step into the paradigm of autonomous AI agents. Build production-grade agentic loops combining LLMs with n8n workflow automation to evaluate assignments, orchestrate student feedback, manage committee records, and publish dynamic learning modules.
Key Session Modules & Takeaways
- Core principles of Agentic AI: Reasoning loops, tool-calling, and memory states
- No-code / low-code academic automation with self-hosted n8n workflows
- Automated evaluation, rubrics grading, and smart personalized student notifications
Day 5Dr. C. Oswald
Assistant Professor, Dept. of Computer Science & Engineering
National Institute of Technology (NIT)
Tiruchirappalli, India
From Attention Mechanisms to Generative AI: Understanding Modern Transformer Models
Executive Overview
A rigorous theoretical and architectural exposition of modern Transformers. Unpack self-attention, multi-head attention, rotary positional embeddings (RoPE), KV-cache optimizations, and why these architectures form the bedrock of generative intelligence.
Key Session Modules & Takeaways
- Mathematical formulation of Scaled Dot-Product and Multi-Head Attention
- Evolution of Encoder-only, Decoder-only, and Encoder-Decoder architectures
- Hardware-aware inference optimizations: FlashAttention, KV caching, and spec decoding
Day 6Dr. Santhosh Paramasivam, Ph.D.
Assistant Professor / Researcher (RTDA - PNRR)
University of Cagliari, DIEE
Cagliari, Italy
Prompt Engineering: Techniques, Reasoning Frameworks & Frontier AI Steering
Executive Overview
Master the science and craft of prompt engineering to reliably steer state-of-the-art LLMs. Delve into Zero-Shot, Few-Shot, Chain-of-Thought (CoT), Tree-of-Thoughts (ToT), Directional Stimulus, and jailbreak defense for high-accuracy academic research and complex enterprise tasks.
Key Session Modules & Takeaways
- Systematic taxonomy: Few-shot prompting, Self-Consistency, and ReAct frameworks
- Controlling hallucination, calibrated temperature, and structured JSON generation
- Prompt evaluation benchmarks, versioning, and automated prompt optimization
All 6 Sessions Included with a Single ₹300 Registration
Participants who attend the sessions and complete the feedback forms will be awarded an official verified E-Certificate of Participation issued jointly by Bishop Heber College (Autonomous) and Marcello Tech.