NVIDIA Full-Day Technical Workshops
Exclusive Pre-Conference Sessions at IIT2026 Global Conference
Building Agentic AI Applications with LLMs 
(Offered by NVIDIA)
AI agents are moving beyond chat. Modern agents can reason, research, use tools, and execute complex objectives at scale. This hands-on workshop teaches you how to design and build agentic AI systems that perform deep reasoning, structured decision-making, software tool calling, and concurrent task execution.
There are two workshops offered by NVIDIA
​Building Agentic AI Applications with LLMs
Date: Wednesday, April 22, 2026
Time: 8:00 AM to 5:00 PM
Location: IIT2026 global conference
Rapid Application Development with LLMs
Date: Wednesday, April 22, 2026
Time: 8:00 AM to 6:00 PM
Location: IIT2026 global conference
Exclusive Pre-Conference Sessions at IIT2026 Global Conference
You will learn how to architect agents that retrieve and refine information, route queries intelligently, and operate reliably using orchestration frameworks like LangGraph and strong software engineering practices.
Event details
Date: Wednesday, April 22, 2026
Time: 8:00 AM to 5:00 PM
Location: IIT2026 global conference 

Price: $199 per attendee (conference attendees only)
Capacity: Capped at 150 attendees

Lunch: Included
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Learning Outcomes
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Generate structured outputs for reliable API and function calling
​Implement retrieval mechanisms including vector search and knowledge graphs
​Design and orchestrate multi-agent systems using frameworks like LangGraph
​Build scalable, multi-tenant agent APIs for real-world use
Understand the strengths and limitations of LLMs and why agent-based systems are needed
Core Topics
​From LLM fundamentals to multi-agent orchestration, this workshop covers structured outputs, retrieval systems, concurrency, and scalable agent deployment.
LLM fundamentals and agent abstractions
​Structured outputs and schema
enforcement
Retrieval-augmented generation and environmental tooling
Multi-agent systems, concurrency, and orchestration
Real-time constraints, data flywheels, and scaling considerations
Final assessment: deploy an agent that coordinates multiple retrieval tasks and returns structured research outputs
A structured, hands-on deep dive into LLM foundations, agent and application architectures, retrieval, orchestration, multimodality, and scalable production deployment.
Rapid Application Development with Large Language Models
Large language models are transforming how applications are built, enabling faster development, lower operational costs, and new AI-driven user experiences. This workshop provides an end-to-end, hands-on introduction to building production-ready LLM applications using open-source models, modern pipelines, and orchestration frameworks.
Participants will learn how to develop scalable, safe, and effective LLM-powered applications across text, multimodal data, and agentic workflows.
Offered by NVIDIA
Date: Wednesday, April 22, 2026
Time: 8:00 AM to 6:00 PM
Duration: Full-day workshop
Price: $199 per attendee (conference attendees only)
Capacity: Capped at 150 attendees

Lunch: Included
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Learning Outcomes
​Apply encoder models for embeddings, semantic search, classification, and question answering

Use decoder and encoder-decoder models for text generation and sequence tasks
Build multimodal applications using text, images, and audio
Orchestrate LLM pipelines and agentic workflows using LangChain
Work with pretrained models from the HuggingFace ecosystem using Transformers
Core Topics
​From LLM fundamentals to multi-agent orchestration, this workshop covers structured outputs, retrieval systems, concurrency, and scalable agent deployment.
Transformer fundamentals and LLM foundations
Task-specific pipelines and lightweight model usage
Sequence-to-sequence and generative architectures

Multimodal systems including text, vision, and audio

Scaling LLM inference and deployment strategies

Orchestration and agentic workflows
Final assessment: build an LLM application integrating text generation, multimodal learning, and orchestration
Important notes
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Both workshops are exclusive to IIT2026 conference attendees

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Seats are limited and expected to fill quickly

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Each workshop requires a separate registration