Explore how NVIDIA tackles the real-world challenges of deploying generative AI using its open ecosystem. Discover how scalable GPUs, optimized inference servers, and multimodal frameworks enable developers to move from prototype to production – efficiently and securely.

Hosted by Ahmed Mostafa, Regional AI Adoption Lead at NVIDIA
Date: November 19
Time: 1:50-2:50 PM
Audience: CTOs, tech leads, developers, AI engineers
Participation: Participation is free for all /function1 attendees. Apply and turn on your notification not to miss it!
Participants must bring their own laptops

Learn how the open NVIDIA AI ecosystem accelerates the journey from prototype to production. The workshop covers common pain points in deploying generative AI at scale and practical techniques to overcome them. Participants will explore components like TensorRT, Triton Inference Server, and NeMo through real examples.

What You’ll Learn:

• Deploying multimodal GenAI models into real production systems
• Optimizing inference pipelines for cost and performance
• Leveraging NVIDIA’s hardware/software stack for end-to-end scalability
• Troubleshooting deployment bottlenecks

Requirements:

• Participants must bring their own laptops
• Basic understanding of ML workflows
• Stable Wi-Fi connection

A hands-on session for developers and enterprise builders exploring how to design and deploy secure AI agents using Amazon Bedrock AgentCore. Learn to automate multi-step workflows, apply identity controls, and monitor agents in production.

Hosted by Mohamed Ezzat, AI/ML Tech Seller Lead - MENAT at AWS
Date: November 19
Time: 2:55-4:25 PM
Audience: Developers, software architects, enterprise innovators
Participation: Participation is free for all /function1 attendees. Apply and turn on your notification not to miss it!
Participants must bring their own laptops

This workshop provides a deep dive into AgentCore, the backbone of enterprise-grade AI agents on Amazon Bedrock. You’ll explore how to move from conceptual prototypes to fully managed production deployments with built-in authentication, memory, observability, and compliance.

Key Topics:

• Designing secure, scalable AI agents for enterprise settings
• Implementing persistent memory and identity controls
• Integrating observability and monitoring via CloudWatch
• Building agentic workflows using AWS infrastructure

Requirements:

• Participants must bring their own laptops
• AWS account (free tier acceptable)
• Wi-Fi connection for deployment exercises