IEEE New Era AI 2024 Workshop series Register $10, Workshop I participnts 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 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 of which were highlighted at AWS re: Invent and are broadly adopted by enterprises. His current interests include serverless, generative AI, and event-driven design patterns. Mr. Ravi Godugu is a seasoned Software Engineer at AWS Computing Tejas Ghadge is the engineering head for AWS Amplify, AWS Lambda Event-Driven Applications, and AWS Lambda Developer Experience, where he leads an organization of 100+ engineers/managers across multiple sites in the US and Canada. With over 14 years of experience at AWS, Tejas brings deep operational and architectural experience from – operating large-scale (millions of requests per second) event-driven systems, leading and analyzing hundreds of operational incidents, and successfully launching dozens of delightful customer features for AWS Lambda and AWS Amplify customers. 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 $7 fee. Co-sponsored by: Neha, Shiny, Mike, Anil, sheree Speaker(s): Nithin, Room: 100, Bldg: Singel Building, 901 12th Ave, Seattle, WA 98122, Seattle,, Washington, United States, 98122, Virtual: https://events.vtools.ieee.org/m/567651
