22nd July 2026
A seminar on “AI Agents and Agentic Workflows”
was conducted by the Department of Artificial Intelligence and Data Science on 22nd
July 2026 from 2:00 PM to 3:30 PM to introduce students to the
emerging field of Agentic Artificial Intelligence and its
growing impact on modern technology and automation. Mr. Antony Johith Joles, Lead Technical Mentor & Software
Developer, Zyntics, Nagercoil, handled the session and shared valuable industry perspectives on the evolution of AI from
conventional systems to intelligent agents capable of reasoning,
planning, decision-making, tool usage, and autonomous task execution. The seminar introduced students to
the fundamentals of AI agents, agentic workflows, autonomous decision-making,
multi-agent collaboration, and AI-powered automation. The resource person
explained how AI agents can understand objectives, break complex problems into
smaller tasks, select appropriate tools, execute actions, and adapt their
responses based on results. Students were also introduced to the role of Large
Language Models (LLMs), APIs, external tools, memory, and workflow
orchestration in developing intelligent agent-based applications.
Real-world examples from software development, customer support, business
process automation, research assistance, and productivity applications helped
students understand the practical relevance of agentic AI. The interactive
session encouraged students to think beyond traditional AI applications and
explore innovative solutions using autonomous and collaborative AI systems. The
seminar also highlighted the importance of programming, logical reasoning,
problem-solving, prompt engineering, and continuous learning for developing
AI-enabled applications. Overall, the event provided valuable industry
exposure, technical awareness, and career-oriented insights, motivating students to undertake
innovative projects and explore emerging opportunities in Generative
AI, AI Agents, Multi-Agent Systems, Intelligent Automation, and Agentic
Workflows.
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Event Brochure |




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