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X-ORIGINAL-URL:https://www.bnmit.org
X-WR-CALDESC:Events for 
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TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260202
DTEND;VALUE=DATE:20260204
DTSTAMP:20260404T000430
CREATED:20250703T094852Z
LAST-MODIFIED:20260310T082901Z
UID:27908-1769990400-1770163199@www.bnmit.org
SUMMARY:A Two-Day Hands-On Workshop on “No Code Agentic AI: From LLM Foundations to Autonomous Systems”
DESCRIPTION:The Department of Artificial Intelligence and Machine Learning organized a Two-Day Hands-On Workshop on “No Code Agentic AI: From LLM Foundations to Autonomous Systems” in association with IIC-BNMIT and IEEE Computational Intelligence Society on 02/02/2026 and 03/02/2026 in offline mode\, with 130 students\, 20 faculty members\, and 2 external participants taking part in the 14-hour program. The workshop aimed to introduce participants to the fundamentals of Large Language Models (LLMs) and Agentic AI\, while enabling them to design and deploy AI agents using no-code/low-code platforms. The sessions bridged the gap between theoretical AI concepts and practical implementation through hands-on activities focused on autonomous workflows\, multi-agent systems\, and real-world applications. The first day covered LLM fundamentals\, prompt engineering\, and the design of basic no-code AI agents\, while the second day focused on goal-driven autonomous agents\, multi-agent workflows\, agent orchestration\, and ethical considerations in AI deployment. Through guided exercises and mini use cases\, participants gained practical skills in building intelligent AI agents\, enhancing their problem-solving abilities\, system-thinking skills\, and understanding of responsible AI development. \n\nDate: 2nd February 2026 to 3rd February 2026 \nVenue: Concept Hall (S006) S-Block\, BNMIT \nTime: 9.00 AM to 4.00 PM
URL:https://www.bnmit.org/event/aiml/
LOCATION:BNMIT Campus
CATEGORIES:AIML DEPT,Events,Home
ATTACH;FMTTYPE=image/png:https://www.bnmit.org/wp-content/uploads/2026/03/1-25-26.png
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