AI-Driven Insights with AWS: From Data to Decisions Using Machine Learning
Explore how AWS empowers you to transform raw data into actionable insights using Machine Learning. This session will guide you through the complete ML workflow on AWS, from data preparation and model building to deployment and decision-making, featuring practical examples and best practices.
From Zero to Hero: Building an AI-powered Chatbot with Vertex AI Agent Builder and Gemini
Target Audience: Developers with some experience in cloud platforms but new to chatbot development.
Engagement:
Share my experience using Vertex AI Agent Builder and Gemini to build a functional chatbot from scratch.
Discuss the challenges faced in training the chatbot model (e.g., data collection, intent definition) and how you overcame them using Gemini's capabilities.
Showcase the benefits of using Gemini Code Assist for efficient chatbot development.
Live demo of the chatbot, allowing the audience to interact with it and understand its functionalities.
From Code Newbie to AI Mastermind: Building a Chatbot with Vertex AI Agent Builder
Ever dreamt of building your own AI-powered chatbot, but worried the code was too complex? Fear not! This lightning talk will showcase how YOU, even as a coding beginner, can become an AI mastermind using Vertex AI Agent Builder.
MY JOURNEY:
I'll share my experience, going from a complete code newbie to building a functional chatbot in minutes with Vertex AI Agent Builder. We'll explore the intuitive interface and discover how easy it is to train a chatbot without writing a single line of code.
LIVE DEMO:
I'll unveil a live demo of the chatbot I built. Interact with it yourself and witness its capabilities firsthand!
KEY TAKE AWAYS:
Discover the power of Vertex AI Agent Builder for building chatbots, even without coding experience.
Learn how to leverage its user-friendly interface to train your own chatbot.
See a live demo showcasing the chatbot's functionalities.
This fast-paced talk will ignite your passion for AI and leave you eager to build your own chatbot creations!
Building a Scalable AI Pipeline with Gemini and Vertex AI (Workshop)
Target Audience: Developers and data scientists familiar with Machine Learning workflows.
Engagement:
Interactive workshop: Walk participants through setting up a complete AI pipeline for a real-world use case (like crop disease detection) on Google Cloud Platform.
Showcase the power of Gemini in the cloud: Demonstrate efficient model training, optimization, and deployment on Vertex AI leveraging Gemini's capabilities.
Focus on experience-based best practices: Discuss challenges encountered when integrating on-device and cloud-based AI workflows and share solutions developed through personal experience.
AI-powered Medical Diagnosis: From Research to Reality
Relevance to Theme: This workshop bridges the gap between research and real-world applications of AI in medical diagnosis.
Audience Relevance: Medical researchers, data scientists, and healthcare professionals interested in leveraging AI for improved diagnosis accuracy.
Solution: Participants will work with pre-trained AI models for medical image analysis (e.g., X-rays) and explore techniques for data visualization and communication of AI-driven diagnostic insights to healthcare professionals.
Takeaways:
Participants will gain hands-on experience using AI models for medical imaging and understand the challenges of integrating AI into clinical workflows.
They will explore responsible data management practices and ethical considerations in AI-powered healthcare solutions.
Responsible AI Dashboard on Azure
In this session, you'll complete a hands-on lab that will teach you how to debug an AI model using the Responsible AI Dashboard in Azure Machine Learning Studio, to ensure that it performs responsibly and is less harmful.
You'll learn the end-to-end process of data preparation, training the model, deploying the model, then using the dashboard to debug and assess the model for fairness, inclusiveness, transparency, accountability and reliability concerns.
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