Workshops

& Embark on Your AI Application Engineering Journey!

Programming is not necessary for AI application engineers. You may need Python to be an AI scientist.

• A rare opportunity to use AI sponsors’ large data source, excellent foundation module and tools to learn AI firsthand from experts of AI sponsors.
• May choose various important applications that AI sponsors offered, including generative AI, robotics, non-destructive testing, design, cybersecurity, communication networks, medicine, genome, detection of counterfeit, defects & deepfake and fraud, Legal evidence validation, Power, SCADA, Infrastructure, Finance & Accounting, Marketing & Sales, etc.
• Bring valuable AI insights back to help your employer, customers & supply chain step on the AI magic journey. 
• Get IEEE certificates, credit hours, and dream jobs. 
• You may stream courses missed post the event.

Workshops Rescheduled to October 26. Founder’s Building,
University of Washington Bothell

Note some workshops have prerequisites such as specific experience and/or software

Workshop (click for description)	Presenters
WTA: Microsoft – AI for All – Room I
Introduction to AI & Applications	Derek Xu, Naga Santhosh Reddy Vootukuri and Jose Gutierrez, Microsoft
Unlocking the Potential of Prompt Engineering and Generative AI: Practical Techniques and Live Demos with Microsoft’s Copilot Integrations	Naga Santhosh Reddy Vootukuri and Ankit Masrani, Microsoft
WTAB: Microsoft CoPilot for Security – Room I (Hands-on)
Build-your-own-CoPilot and Copilot for security	Ankit Masrani and Derek Xu, Microsoft
WTB: Hardware Trojan Detection – Room I
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning	Rahul Deo Vishwakarma, Founder, AI Research Club and Dheerendra Panwar, Senior Member, IEEE
WTC: GHL – AI for Global Health – Room II
Principles and techniques to design AI for impact in global health Workshop 1: AI for Cervical Cancer Workshop 2: AI Ultrasound Saves Lives	Courosh Mehanian, Olivia Zahn, Sourabh Kulhare, Ishan Shah and Charles Delahunt, Global Health Labs, Inc.
WTD: UWM – AI in Medicine – Room II
Working with health data: responsibilities, opportunities, and the AI-READI dataset	Jamie Shaffer, Research Scientist and Julia Owen, Senior Research Scientist, University of Washington School of Medicine, Lee Lab for Computational Ophthalmology
Training Medical AI Models	Yuka Kihara, Research Scientist, Yelena Bagdasarova, Research Scientist and Yue Wu, Acting Instructor, University of Washington School of Medicine, Lee Lab for Computational Ophthalmology
WTE:  AWS – Gen AI App – Room III (Hands-on, see prerequisites)
Harnessing Serverless Technologies for Generative AI Applications Part 1: Image Processing Part 2: Event-Driven Data Redaction	Tejas Ghadge, Senior Engineering Manager, Nithin Vommi, Senior Software Engineer and Tarun Rai Madan, Product Manager, AWS Lambda
WTF: Netflix – Data & Feature Eng – Room III
Data and Feature Engineering	Sreyashi Das, Senior Data Engineer at Netflix
Designing scalable and high-quality data models for feature engineering	Sreyashi Das, Netflix
WTG: AI for Management – Room III
Using AI for Career Management: Navigating Your Professional Path with Artificial Intelligence	Karthikeyan Gopal, Senior Software Development Engineer, Amazon Jayashree Sankar Kumar, SDE, Oracle Madhuri Gangadharan, SDE, AWS
AI-Enabled Corporate Management: Harnessing Artificial Intelligence for Business Excellence	Karthikeyan Gopal, Senior Software Development Engineer, Amazon
WTH: Aero Sup MFG Dig Twin – Room IV
Revolutionizing Aerospace Supply Chains with Machine Learning-Powered Digital Twins	Amit Dubey, Data Science Manager, Agilent Technologies, Seattle, WA
Revolutionizing Supply Chain Fulfillment with Machine Learning and AI	Amit Dubey, Data Science Manager, Agilent Technologies, Seattle, WA
WTI: Meta – Unlock LLMs via LLAMA – Room IV (Hands-on, see prerequisites)
Unlocking the Power of LLMs for Customizable Problem-Solving via LLAMA	Sunandan Barman and Cesar Gama, Meta
WTJ: Gen AI for Product Dev – Room IV (Hands-on, see prerequisites)
Generative AI for Product Development and Rapid Prototyping	Ram Joshi, Staff Engineer at The Climate Corporation and Gunjan Paliwal, Product Development & Marketing Leader
WTK: Prompt Engineering – Room IV (Hands-on)
Abracadabra for GenAI Models: Learn How Prompt Engineering Works	Prashant Gupta: Software Development Manager at Amazon Arpit Chaudhary, Senior Software Engineer at Apple and Seema Bansal, Product Manager at Microsoft
Nvidia  LLM Training (2 sessions) – Room V
WTL: Nvidia LLM/RAG Training  (Hands-on; Limit to 20 people.) (See prerequisites) WTM: Repeat: Nvidia LLM/RAG Training  (Hands-on; Limit to 20 people)	Kevin Lee, Deep Learning Institute Team, Nvidia Suchismita Sahu, Senior Data Scientist, Generative AI, Nvidia
WTN: AI on AMD’s Hardware and Software Ecosystem – Room VI
Enabling AI on AMD’s Hardware and Software Ecosystem	Hari Sadasivan, Member of Technical Staff SDE, AMD Kalin Ovtcharov, AI Solutions Architect, AMD Mahesh Ravishankar, Senior Software Development Manager, AMD
WTO: Building AI Applications – Room VI (Hands-on, see prerequisites)
Learn to build AI applications with no code, low code, and using AI powered coding assistant	Ashish Vaidya, Amazon Alexa Abhai Pratap Singh, Amazon Alexa Ramakanth Damodaram, Amazon Web Services Ramesh Venkataraman, Amazon Web Services