Unlock the Future of AI: Join NVIDIA’s Expert-Led Masterclass on Building Multi-Agent Systems
AIM, in partnership with NVIDIA, invites developers and AI practitioners to its Agentic AI Workshop on April 30, 2025, at 4:00 pm IST. This hands-on session, NVIDIA Agentic AI Workshop- “From Scratch to Solution: Multi-Agent AI for Complex Tasks,” led by senior solution architect Shreyans Dhankhar, will equip attendees with advanced techniques to design, implement, and optimise multi-agent artificial intelligence (AI) frameworks for complex tasks. Why Attend? Agentic AI represents the next frontier in AI, enabling systems to autonomously reason, plan, and execute multi-step workflows. With enterprises across industries adopting AI agents to streamline operations, this masterclass offers a critical opportunity to: Design and implement multi-agent conversational workflows to handle complex tasks and enhance overall operational efficiency. Master multi-turn dialogue and persona-driven interactions to deliver more realistic and engaging user experiences. Integrate advanced tools and techniques to support self-reflection, long-term and short-term memory, and human-in-the-loop capabilities in conversational AI agents. Explore post-processing strategies to refine outputs and improve the accuracy and relevance of conversational AI responses. Event Date: April 30, 2025Time: 4:00 PM IST REGISTER NOW Agenda Highlights In this session, you will learn how to build an agent framework to tackle multi-turn complex tasks, integrate tools, and define agent behaviour. We’ll explore how to create conversational AI agents capable of handling complex tasks and dive into techniques for multi-turn conversations and persona-based interactions. Event Date: April 30, 2025Time: 4:00 PM IST REGISTER NOW Speaker Spotlight Shreyans brings over a decade of expertise in natural language processing (NLP), deep learning, and generative AI. A graduate of the Indian Institute of Science (IISc) Bengaluru, his work focuses on bridging theoretical research with industrial applications, making him uniquely positioned to guide attendees through NVIDIA’s latest advancements in agentic AI. Who Should Attend? Developers and engineers who are proficient in Python and generative AI. Teams aiming to deploy agentic AI solutions for enterprise workflows. Innovators seeking hands-on experience with NVIDIA’s tools, including the NVIDIA AI Refinery platform. Event Date: April 30, 2025Time: 4:00 PM IST REGISTER NOW Prerequisites: Registrants must create an account on build.nvidia.com using your official email before joining the workshop. Why Agentic AI Matters As highlighted at the NVIDIA GTC 2025, agentic AI is transforming industries—from automating customer service to accelerating drug discovery. This masterclass builds on NVIDIA’s collaborations with leaders like Accenture and Meta, showcasing how multi-agent systems can drive operational efficiency and innovation. Event Date: April 30, 2025Time: 4:00 PM IST REGISTER NOW Secure your spot to explore the tools and frameworks shaping the future of AI. Elevate your skills and join a community of experts redefining what’s possible with autonomous systems. “AI agents are a multi-trillion-dollar opportunity ” – NVIDIA CEO Jensen Huang. Don’t miss this chance to learn from NVIDIA and accelerate your journey into the agentic AI era. Register now to save your spot! Elevate your career with NVIDIA’s specialized training and certification in AI, data science, and accelerated computing. Gain in-demand skills, boost your expertise, and earn industry recognition. Register now and stay ahead! Register here for NVIDIA training & certification: https://sp-events.courses.nvidia.com/DLI-India-AIM Claim your free DLI course today!
This hands-on session will be led by senior solution architect NVIDIA Shreyans Dhankhar.
This hands-on session will be led by senior solution architect NVIDIA Shreyans Dhankhar.
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["NVIDIA Webinar", "data science", "agentic AI", "artificial intelligence", "AIM Webinar", "AI", "Masterclass", "ML", "future of AI", "NLP", "Aim", "deep learning", "multi-agent systems", "generative AI", "Multi-Agent Systems"]
["AI", "artificial intelligence", "ML", "deep learning", "NLP", "data science", "generative AI", "agentic AI", "multi-agent systems", "Aim"]
Siddharth is a media graduate who loves to explore tech through journalism and putting forward ideas worth pondering about in the era of artificial intelligence.