Building Powerful AI Agent Serverless Applications with AWS - August 29th

---

IEEE New Era AI 2024 Workshop series   

Register $10,  Workshop  I participants free 

 

Come to Master the new generation of intelligent, event-driven applications—where you transform input instantly into AI Agents, AI-guided decisions, and automate real-world actions.  Take away an actionable portfolio for your future.
For healthcare professionals, multimodal prototyping tools are used to analyze medical imagery such as X-rays and pathology slides. For Data scientists and analysts - process research papers, survey responses, or unstructured datasets at scale. For Software engineers - integrate RAG-based chatbots into existing applications to surface answers from knowledge bases. For Business analysts: extract structured data to derive insights without complex parsing logic. For Students and Researchers -prototyping an AI assistant that helps with literature review, data labeling, or experiment documentation.

Takeaway: Master the next generation of AI. By the end of this session, you’ll have a portfolio-ready project and the specialized skills to create actionable AI-guided results, setting your expertise apart in this competitive world.

No Code skill required.  Hybrid.  IEEE Certificate Available

Speakers 

Speaker Bio

 Nithin Vommi is an Engineering Manager at Amazon Web Services, where he has spent nearly a decade building and scaling large-scale distributed systems. He leads AWS Lambda streaming and queueing platforms, focusing on serverless architectures and event-driven systems. Nithin has published technical articles, holds patents, and speaks at AWS events including re:Invent. Over his time at AWS, he has launched more than a dozen customer-facing features on serverless platforms, several highlighted at AWS re:Invent and broadly adopted by enterprises. His current interests include serverless, generative AI, and event-driven design patterns.

 Shubham Nanda is a seasoned Engineer at AWS Lambda, specializing in serverless architecture and developing event-driven workflows, passionate about building scalable and secure systems. He comes with a decade of industry experience working on distributed systems and building highly available and scalable systems in Amazon.

 

Technical Requirements

Laptop with a modern web browser (Chrome, Firefox, or Edge)
2. Stable internet connection
3. No local software installation required — labs run in a browser-based IDE and a temporarily provided AWS account
4. No prior machine learning or data science experience required

•  IEEE  Professional certificate and Hrs will be offered to those attendees who pass a simple quiz at the end of class, with a $8 fee.  

 

---

---

---

---

We will build an agent on AgentCore Runtime end to end: configure it locally, deploy it to a hosted runtime, and invoke it from a client. We then add AgentCore Memory so the agent retains state across sessions, and wire memory into the deployed runtime.

9:00–12:00 workshop, 12:00–12:30 exam

Time Session
9:00–9:10 Welcome and environment check
9:10–9:45 Runtime: Setup
9:45–10:20 Runtime: Deploy
10:20–10:30 Break
10:30–11:05 Runtime: Client
11:05–11:35 Memory
11:35–12:00 Memory + Runtime

 

12:00–12:30 PM — Certificate Exam

Participants who wish to receive an IEEE Certificate, Professional Development Hours (PDHs), and a Digital Badge are required to take and pass the exam.

Participants who only wish to receive a general Certificate of Attendance, without PDHs or a Digital Badge, do not need to take the exam.

Certificate fee: $8.

---