Data Science Dojo – Seattle

As large language models continue to reshape the data landscape, one of the most exciting applications is creating intelligent data analytics assistants that make querying and exploring data as simple as asking a question. In this hands-on session, you’ll learn how to build your own interactive assistant using free, open-source tools — no paid licenses or proprietary systems required.
We’ll guide you through connecting your data to a language model to enable natural language queries that return automated insights, visualizations, and summaries. Whether you’re a data analyst, business user, or enthusiast, this session will help you turn static datasets into dynamic, conversational experiences.
You’ll also see a live demo of an AI-powered agent processing queries, performing analysis, and returning visual insights — with minimal setup and no complex coding. We’ll share practical design tips to make your assistant more reliable, interpretable, and scalable.
What We Will Cover:

• Understand how LLMs are transforming data analytics workflows, from dashboards to conversational interfaces
• Learn how to build a data analytics agent with LLMs using free, open-source tools
• See a live demo of an LLM-powered agent responding to user queries and generating real-time insights and visualizations
• Explore real-world applications of LLM analytics agents in business intelligence, reporting, and decision support
• Discover practical strategies for scaling your LLM-based data assistant across different data types and user roles
• Interactive Element: Through live demos and audience Q&A, participants will gain hands-on experience building LLM analytics agents, and leave with the tools and framework to start building their own immediately.

Important: register on AICamp is required for admission.

Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.

Agenda:
- 5:00pm~5:50pm: Checkin, food/drink and networking
- 5:50pm~6:00pm: Welcome, Community update
- 6:00pm~7:30pm: Tech talks and Q&A
- 7:30pm~8:00pm: Open discussion and Mixer
- 8:00pm: closing and head to bar

Speakers/Topics:
Check the AICamp event website for speakers/topics.

If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in Seattle and 500K+ worldwide.

Discover how to streamline and scale your business processes using AI-powered automation. In this hands-on session, you’ll learn how to build intelligent, adaptive workflows by combining the power of large language models (LLMs) with Microsoft Power Automate — no complex coding required.
We’ll walk you through using Power Automate’s built-in connectors, triggers, and NLP-powered “describe it to design it” feature to build automations faster and smarter. You’ll also explore how to integrate LLMs (like OpenAI) via HTTP actions or Azure services to interpret, generate, and transform content dynamically within workflows.
This session is perfect for professionals looking to move beyond rule-based flows and bring in context-aware, AI-driven automation that adapts to users and business needs in real time.

What We Will Cover:

• Understand how AI-powered automation is transforming workflows across industries
• Learn to build efficient flows using Power Automate’s triggers, actions, and connectors
• Explore how to integrate LLMs into Power Automate using HTTP actions or Azure OpenAI
• See a live demo of an intelligent automation system powered by LLMs
• Discover best practices for building secure, reliable, and scalable AI-based flows

Interactive Element: Through a live demo and Q&A, you’ll gain practical insights into applying LLMs in real-world automation scenarios and leave with a framework to start building your own AI-powered workflows immediately.