Theme: Agentic AI: Emerging Applications and Societal Benefits
Are you a Professor, Academic Researcher, or Industry Leader driving the next wave of artificial intelligence? We are inviting distinguished domain experts to join us as Expert Resource Persons for an upcoming 6-Day AICTE ATAL Online Faculty Development Programme!
This FDP focuses on the shift from Generative AI to autonomous Agentic AI, exploring its architecture, real-world deployment, and broader societal impact.
📌 Program Overview
| Feature | Details |
| Event Type | AICTE ATAL Sponsored Faculty Development Programme |
| Duration | 6 Days |
| Mode | 100% Online |
| Target Audience | Faculty Members, Educators, and Research Scholars |
| Goal | Bridging advanced Agentic AI research with practical academic instruction |
🧠 Core Session Topics
We welcome session proposals and speaker contributions across key areas, including:
1. Foundations & Architecture
Evolution of Agentic AI: Moving beyond Generative AI to Autonomous Agents
Core Architecture: Perception, Reasoning, Planning, Memory, and Action frameworks
Foundational Models: Large Language Models (LLMs) as the core engine
2. Technical Stack & Implementation
Agent Infrastructure: Function Calling, Tool Use, APIs, and RAG integration
Multi-Agent Systems (MAS): Autonomous task execution and agent orchestration
Practical Hands-on Sessions:
Building a RAG-Based Intelligent AI Agent
Constructing a Collaborative Multi-Agent System
3. Real-World Applications & Impact
Domain Applications: Healthcare, Education, Scientific Research, Software Engineering, Cybersecurity, and Smart Systems
Ethics & Safety: Responsible AI, security protocols, and risk mitigation
Societal Implications & Research Frontiers: Strategic directions for future academic inquiry
🤝 How to Participate
If you are eager to mentor the next generation of academic researchers and educators by sharing your practical insights, research breakthroughs, or hands-on tutorials, we would love to collaborate with you.
👉 Submit Your Speaker Interest Here:
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