209 RSVP'd
Are you interested in learning generative AI? Join us for this 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. You’ll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI and Imagen 3.
You will get free access to Google Cloud Skills Boost and engage in practical exercises to earn the Google Cloud Skills Boost badge, demonstrating your ability to craft effective prompts, guide AI outputs, and deploy Gemini models in real-world marketing scenarios. In addition, you will learn from expert speakers from Google and the community.
In this fourth session, you will learn about data, Gemini and agents. There will be two talksTalk 1: Google Cloud meets your agents - Jason Davenport, Google Cloud DevRel
Want to learn about how you can build agents in Google Cloud? We'll walk through methods you can use to build agents today and how to deploy your agents on Google Cloud.
Talk 2: Building a Job Matching Tool with Multi-Verbal Agent Collaboration - Henry Ruiz, ML GDE | Research Scientist, Texas A&M University
In this hands-on demo, we will explore how multi-verbal AI agents can collaborate to develop a simple yet effective job-matching tool. Using natural language understanding and task-specific reasoning, these agents will work together to match job seekers with relevant opportunities based on their skills and preferences. Participants will gain insights into multi-agent AI frameworks, practical implementation strategies, and how to enhance decision-making through collaborative AI interactions. No prior experience with multi-agent systems is required—just a curiosity for AI-driven automation!
The event series are a collaboration by GDG Seattle, GDG Surrey, GDG Vancouver and GDG Burnaby.
The five sessions of the study series are:
Head Of Advocacy For Data Analytics
Texas A&M University
Research Scientist
Google Developer Expert
Generative AI
Full Stack Engineer | AI/ML
Contact Us