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Seattle, WA datasciencedojo.com Joined March 2013
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The July 14th cohort is coming up soon. 10 weeks. 12,000+ alumni. Spots are filling fast.

The Agentic AI Bootcamp is back and it covers the full stack of what matters right now.

Week 1, you're wrapping your head around how Transformers actually work.

Week 3, you're building with LangChain and setting up your first vector database for a RAG pipeline.

By week 5, you're not just prompting. You're engineering context and designing systems using Agentic design patterns used in production.

Week 7 hits and you're implementing Model Context Protocol and learning how agents actually talk to each other.

Week 10? You ship a multi-agent LLM application. From scratch. In 10 weeks.

That's what the Agentic AI Bootcamp cohort starting July 14th looks like. 3 hours a week, structured to take you from foundations to deployment.

Register now before it's too late: hubs.la/Q04n3Xcm0

#agenticai #rag #aibootcamp #vectordatabases
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Data Science Dojo Verified account @DataScienceDojo
🔴 LIVE NOW: Paige Bailey, AI Developer Relations Lead at Google DeepMind, is presenting right now at the Agentic AI Conference. 🚀

What’s new and what’s next from Google DeepMind? Join Paige for a first-hand look at the latest models and agentic workflows coming from Google DeepMind.

Here’s what you’ll take away.
✅ Live demos with Gemini 4, NanoBanana 2.1, Gemini TTS, and more
✅ A first-hand look at the agentic workflows coming from Google DeepMind
✅ Hands-on coding patterns for going from prototype to production with next-gen autonomous systems

Paige has helped define the developer experience for Gemini, PaLM 2, and Gemma, and presented AI Studio, the Gemini APIs, and new additions to Antigravity in the developer keynotes at Google I/O ’25 and ’26.

▶️ Watch live on YouTube: youtube.com/watch?v=72NuTU…

#datasciencedojo #agenticaiconference #futureofdataandai
Data Science Dojo Verified account @DataScienceDojo
🔴 LIVE NOW: “Teammates, not tools” is happening right now at the Agentic AI Conference, with Raja Iqbal (Founder, Ejento AI), Sam Partee (Co-founder and CTO, Arcade), Adnan Ijaz (Senior Director of Product Management, Agentic Data Cloud, Google) and Jamil Valliani (Head of Product, AI, Atlassian). 🎙️

Companies already know how to bring a person onto a team: a defined role, access scoped to that role and a clear line on what needs a manager’s sign-off. Yet many hand AI agents the power to move money and rewrite customer records through shared service accounts, with permissions nobody scoped and no owner named anywhere.

This panel treats agents as teammates who need onboarding, not software that needs installing. Our panelists are getting concrete on per-agent identity, approval thresholds and evidence trails that hold up when a regulator asks who authorized what, and on how much authority a digital teammate should get on day one.

Raja co-authored the Harvard Business Review article this panel is built on. Sam builds the runtime that lets AI agents take real actions across enterprise systems securely. Adnan leads product for Google’s Agentic Data Cloud. Jamil leads product for AI at Atlassian, after more than 15 years leading product teams at Microsoft.

▶️ Watch live on YouTube: youtube.com/watch?v=72NuTU…

#datasciencedojo #agenticaiconference #futureofdataandai
Data Science Dojo Verified account @DataScienceDojo
🔴 LIVE NOW: “Secure AI needs forward deployed engineers” is happening right now at the Agentic AI Conference, with Aater Suleman (Co-founder, Vixul), Ben Wilson (Databricks) and Mark Ghannam (LandingAI). 🎙️

A vendor’s security guidance assumes a reference architecture nobody actually runs. A compliance framework assumes clean data ownership and a documented approval chain. Each arrives as a document, and every organization receiving it has its own legacy systems, its own risk appetite and its own way of deciding things. The distance between the guidance and the deployment is where AI programs stall.

Forward deployed engineers close that distance. They embed with a customer and turn guardrails, threat models and control requirements into integrations that fit how that enterprise actually runs. This panel is about what the work really takes and whether it scales, with real disagreement on the question underneath it: is the FDE a permanent fixture of enterprise AI, or a sign the tooling isn’t finished?

▶️ Watch live on YouTube: youtube.com/watch?v=72NuTU…

#datasciencedojo #agenticaiconference #futureofdataandai
Data Science Dojo Verified account @DataScienceDojo
🔴 LIVE NOW: Jaya Vivekanandan, Applied AI Engineer at LandingAI, is leading the hands-on tutorial “Show Me Where It Says That: Agents That Cite Every Word in a Document” at the Agentic AI Conference. 🛠️

Every company has documents. Can an AI platform be trusted to read them for you? In this session you’ll work with DPT-3 Verity in LandingAI’s Agentic Document Extraction, a parsing model that grounds every word it reads, in text and in tables, to its exact spot on the page and gives it a confidence score.

Then you’ll build a document version-control pipeline that parses several revisions of a lease, lines up the words and finds every addition, removal and edit, with each change highlighted on the original pages. You’ll also learn why a low confidence score means “check this,” not “this is wrong.”

Some Python helps, and no document AI experience is needed.

▶️ Watch live on YouTube: youtube.com/watch?v=72NuTU…

#datasciencedojo #agenticaiconference #futureofdataandai