Data Science Dojo

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[Data Science Dojo @DataScienceDojo]

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: https://t.co/gOKkz5sjhv

#agenticai #rag #aibootcamp #vectordatabases

[Data Science Dojo @DataScienceDojo]

Give Your Coding Agent a Real Workspace: Tools, Tests, Git & MCP https://t.co/NqJ1Ps1d6q

[Data Science Dojo @DataScienceDojo]

🔴 Happening today at 11:00 AM PT

A coding agent that can only plan is a coding agent that can’t ship. Today, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, gives one a real workspace, live:

🛠️ Files, code execution, tests and Git
🎯 Tool design, so the agent uses them reliably
🛡️ A sandbox, so it acts freely without putting your systems at risk
🔌 Developer tools over MCP

The payoff: the agent opens a PR-style diff that passes CI.

It’s free, it’s virtual, and there’s still time to grab a spot 👇
🔗 https://t.co/539lhoXNl0

#CodingAgents #AgenticAI #MCP #AIEngineering #DevOps

[Data Science Dojo @DataScienceDojo]

Data agents rarely fail loudly. They return plausible numbers, query data they shouldn’t, and leave no trail you can audit. 🔍

Join Benjamin Squire, Senior Developer Advocate at Neo4j, for the hands-on tutorial “Making a Data Agent Trustworthy with a Semantic Layer and Auditable Memory” at the Agentic AI Conference. You’ll watch one text-to-SQL agent run twice over a realistic 33-table BigQuery warehouse, once with the usual list-tables-and-guess tooling and once with graph-based context from two Neo4j Labs projects.

What you’ll learn:
✅ Add a semantic layer of governed metrics, business synonyms, and sensitivity tags, checked before any query runs
✅ Record every reasoning step with auditable agent memory
✅ Answer “who accessed this data, and why?” with a single graph query
✅ Trace a planted prompt injection to its source and quarantine it

You’ll leave with a public repo to rerun everything yourself. Swipe through for the details. 👉

📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/SPgy1FkuYo

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to welcome Paige Bailey, AI Developer Relations Lead at Google DeepMind, to the Agentic AI Conference! 🎙️

Paige will be leading the tutorial “What’s New and What’s Next from Google DeepMind.” Get a first-hand look at the latest models and agentic workflows coming from Google DeepMind, with live demos and hands-on coding patterns featuring Gemini 4, NanoBanana 2.1, Gemini TTS, and more, and learn how to go from prototype to production with next-gen autonomous systems.

At Google DeepMind, Paige works on radically improving the developer experience for generative AI. With more than 15 years of experience bridging cutting-edge machine learning research and tangible business value, Paige has been instrumental in defining the developer experience for Google’s most advanced generative models, including 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.

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/zDBVCRcu7B

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to have Luis Serrano, Founder of Serrano Academy, Chris McCormick, AI Researcher and Educator at InnerWorkings AI, Jay Alammar, Director and Engineering Fellow at Cohere, and Joshua Starmer, Founder of StatQuest, joining the panel “How Do Agents Work, and How Should They Work?” at the Agentic AI Conference! 🎙️

Together they’re the RAG Pack, a group of AI educators teaching how AI agents actually work. Agents that look impressive in a demo often stall in practice, and the reason is usually hidden inside the loop of model, context, tools, and results.

The panelists will break that loop down step by step, explain where retrieval, memory, and planning help and where they break, and look at how reinforcement learning is teaching models to use tools and reason over many steps. Expect a candid conversation on when an agent is the right design at all, how much autonomy it deserves, and how to evaluate whether it’s really working.

📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/g40ekM9MTx

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

A coding agent that can only plan is a coding agent that can’t ship. 🛠️

This Wednesday, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, gives a coding agent a real workspace, live:

✅ The core workspace: file access, code execution, tests and Git
✅ Tool design, so the agent uses its tools reliably
✅ Sandboxing, so it acts freely without putting your systems at risk
✅ MCP, to extend its reach with developer tools

The payoff: the agent opens a PR-style diff that passes CI.

Built for AI and ML engineers, platform and DevOps engineers, and technical leads exploring MCP. It’s Part 3 of the SambaNova coding agent series; earlier sessions help, but they aren’t required.

📅 Wed, Oct 21 · 11:00 AM PT · Virtual · Free
🔗 Register: https://t.co/0uCvgO1xPZ

#CodingAgents #AgenticAI #MCP #AIEngineering #DevOps

[Data Science Dojo @DataScienceDojo]

We’re excited to welcome Joshua Starmer, Founder of StatQuest, to the Agentic AI Conference! 🎙️

Joshua will be joining the RAG Pack panel with Luis Serrano, Chris McCormick, and Jay Alammar. If you’ve ever learned AI from a video, a book, or a tutorial, there’s a good chance one of them taught you, and now you can hear all four together, live.

Joshua is the creator of StatQuest with Josh Starmer, the YouTube channel that makes statistics, machine learning, and AI approachable with clear, step-by-step explanations. He runs free live “Concepts and Code” lessons and teaches live machine learning courses that go from linear regression all the way to neural networks. Within the RAG Pack, his title is Chief Ukulele Strummer, and he brings his signature silly songs to his lessons.

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/0QI2BNpb4r

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to welcome Chris McCormick, AI Researcher and Educator at InnerWorkings AI, to the Agentic AI Conference! 🎙️

Chris will be joining the RAG Pack panel with Luis Serrano, Jay Alammar, and Joshua Starmer. Each member of the RAG Pack is known for explaining hard ideas in AI clearly, and together they teach how AI agents really work under the hood.

Chris is an independent AI researcher and educator focused on the inner workings of transformer models, especially the architectures and mechanisms that let them build meaning. His write-ups and videos on https://t.co/obHQH38QkN walk through topics such as Multihead Latent Attention and FlashAttention, and he has ported GPT-2 speedruns to run on a single GPU, making pre-training experiments accessible on a modest budget. He also led a hands-on GRPO training workshop at the Agentic AI Conference in April 2026.

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/K70Ifts3EH

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to welcome Luis Serrano, Founder of Serrano Academy, to the Agentic AI Conference! 🎙️

Luis will be joining the RAG Pack panel, alongside fellow AI educators Chris McCormick, Jay Alammar, and Joshua Starmer. The RAG Pack is a group of educators teaching how AI agents actually work, and the team behind courses on reinforcement learning for LLMs and an Introduction to Agents course.

Luis is an AI scientist, mathematician, and educator who makes artificial intelligence and math easy to understand. His YouTube channel demystifies complex topics in mathematics, machine learning, and AI, and he is the author of the bestselling book Grokking Machine Learning. He has taught deep learning to a wide audience, including Udacity’s free Intro to Deep Learning with PyTorch course, and has led workshops at past editions of the Agentic AI Conference on transformer models and on reinforcement learning with human feedback and GRPO.

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/t18GQNgQTq

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to welcome Zain Hasan, Staff AI/ML Engineer on the developer experience team at Together AI, to the Agentic AI Conference! 🎙️

Zain will be joining the panel “How Sovereign Is Sovereign AI?” Hosting your own models can feel like control. But when relations between countries deteriorate, the dependencies underneath, from hardware to software, are where it really bites. This panel will explore what sovereign AI genuinely delivers, and whether much of what’s being sold is meaningful control or a reassuring wrapper around the same handful of foreign dependencies.

At Together AI, Zain builds and teaches AI, with recent work on fine-tuning open-source LLMs as judges and speeding up inference with speculative decoding. Zain is also a widely followed AI educator: the DeepLearning AI courses Zain developed, Vector Databases: From Embeddings to Applications and Building Multimodal Search and RAG, have reached more than 200,000 learners. Zain completed a PhD at the University of Toronto, where Zain continues to do ML research and teach.

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/yyrykqHOPY

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to welcome Jay Alammar, Director and Engineering Fellow at Cohere, to the Agentic AI Conference! 🎙️

Jay will be joining the RAG Pack panel, where four of AI’s best-known educators, Jay, Luis Serrano, Chris McCormick, and Joshua Starmer, come together to break down how AI agents actually work, and where they fail.

At Cohere, Jay works on code agents and on the harder question of how to tell whether they’re any good: agentic evaluation and observability. He is best known for The Illustrated Transformer and the visual explanations on his blog, which have been referenced in courses at Stanford, MIT, and other universities. With Maarten Grootendorst, he co-authored the O’Reilly books Hands-On Large Language Models and An Illustrated Guide to AI Agents, and the two created the free course How Transformer LLMs Work with Andrew Ng and Deep Learning AI.

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/5yTDYXxs8c

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to have Hamza Farooq, Malte Pietsch, Jon Clay, and Zain Hasan joining the panel “How Sovereign Is Sovereign AI?” at the Agentic AI Conference! 🎙️

A European bank runs a sovereign cloud region, hosts its model weights domestically, and keeps every byte of customer data inside the bloc. Yet the chips came from one vendor, the architecture from a foreign lab’s published research, and the inference software from a company subject to its own government’s powers. Something real has been achieved, and something important has not.

This panel will work through the layers: which data genuinely has to stay where, what hosting weights at home does and doesn’t buy, and where dependency actually bites when relations deteriorate. Expect a real debate on whether most of what’s sold as sovereign AI is meaningful control, or a reassuring wrapper around the same handful of foreign dependencies.

📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/C48YuElik3

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

Meet the speakers of the Agentic AI Conference! 🎙️

We’re bringing together 24 leaders building and deploying AI agents today, from Docker, Google, Google DeepMind, Databricks, AMD, Cohere, Neo4j, LandingAI, deepset, TrendAI, Crusoe, GitGuardian, Zilliz, Arcade, SteelEngine, Vixul, Traversaal, Ejento AI, InnerWorkings AI, Serrano Academy, and StatQuest.

Over two days of keynotes, panels, and hands-on tutorials, they’ll take on the questions that decide whether AI agents make it out of pilot: security, compliance, governance, and alignment, and what it really takes to trust agents in production.

Swipe through to meet the full lineup. 👉

📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/W20eFYXaXL

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

Two days. One keynote. Six panels. Four hands-on tutorials. 🗓️

The Agentic AI Conference agenda is here, packed with sessions on security, compliance, governance, and alignment, featuring speakers from Docker, Google DeepMind, Databricks, AMD, Neo4j, and more.

Save the date and see the full lineup of sessions on the website. 👉

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register free: https://t.co/4MJqIiwM7O

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

Four hands-on tutorials. Live demos, working code, and runnable repos. 💻

The Agentic AI Conference isn’t just talks. Across two days, four teams building with agents will show you exactly how they do it:
🛠️ LandingAI: “Show Me Where It Says That: Agents That Cite Every Word in a Document” with Jaya Vivekanandan. Ground every word an agent reads to its exact spot on the page, and build a pipeline that catches real edits across document versions.
🛠️ AMD: “Build Secure Always-On Local Agents on AMD Ryzen™ AI PC using Lemonade” with Iswarya Alex and Satya Devineni. Build an always-on agent that keeps every model call local and stays inside a sandbox policy you write.
🛠️ Neo4j: “Making a Data Agent Trustworthy with a Semantic Layer and Auditable Memory” with Benjamin Squire. Add governed metrics and auditable memory to a text-to-SQL agent, then trace a planted prompt injection back to its source.
🛠️ Google DeepMind: “What’s New and What’s Next from Google DeepMind” with Paige Bailey. Live demos and hands-on coding patterns with Gemini 4, NanoBanana 2.1, Gemini TTS, and more.

Swipe through for what you’ll take away from each session. 👉

📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/t0saBfXbU1

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to welcome Benjamin Squire, Senior Developer Advocate at Neo4j, to the Agentic AI Conference! 🎙️

Benjamin will be leading the hands-on tutorial “Making a Data Agent Trustworthy with a Semantic Layer and Auditable Memory.” Data agents rarely fail loudly: they return plausible numbers, query data they shouldn’t, and leave no trail you can audit. In this session, you’ll see one text-to-SQL agent run twice over a realistic 33-table BigQuery warehouse, once with the usual tooling and once with graph-based context from two Neo4j Labs projects. You’ll then trace a planted prompt injection to its source and quarantine it, and leave with a public repo to rerun everything yourself.

At Neo4j, Benjamin brings graph technologies to enterprises wherever their data lives. With more than 10 years of experience applying machine learning across marketing segmentation, graph analytics, and budget optimization, Benjamin speaks and teaches on how context, ontologies, and graph-based approaches such as GraphRAG make agentic AI applications more reliable.

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/4os9CwzItk

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

An agent is only as good as the tools it can act through. Here’s the anatomy of a coding agent that actually ships 👇

① The agent: most of its capability comes from what it can touch, not the model
② The workspace: files, code execution, tests and Git, designed so the agent uses them reliably
③ The sandbox: broad tool access plus strong isolation, so it acts freely without putting your systems at risk
④ MCP: developer tools exposed over the Model Context Protocol

Put all four together and the agent goes from clever assistant to contributor, opening a PR-style diff that passes CI.

Swipe for the full breakdown, a planner-vs-contributor comparison and a cheat sheet worth saving 🔖

On October 21, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, builds the whole thing live.

📅 Wed, Oct 21 · 11:00 AM PT · Virtual · Free
🔗 Register for the webinar: https://t.co/YMY4Bk2A1s

#CodingAgents #AgenticAI #MCP #AIEngineering #DevOps

[Data Science Dojo @DataScienceDojo]

Two days. One keynote. Five panels. Four hands-on tutorials. 🗓️

The Agentic AI Conference agenda is here, packed with sessions on security, compliance, governance, and alignment, featuring speakers from Docker, Google DeepMind, Databricks, AMD, Neo4j, and more.

Save the date and check the full lineup of sessions on the website.

📅 November 9–10, 2026 | Virtual | Free to attend
🔗 Register free: https://t.co/3aCKuzj9ge

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

We’re excited to have Raja Iqbal, Founder of Ejento AI, Sam Partee, Co-founder and CTO of Arcade, and Adnan Ijaz, Senior Director of Product Management for Agentic Data Cloud at Google, joining the panel “Teammates, Not Tools” at the Agentic AI Conference! 🎙️

AI agents can now act on their own, moving money, rewriting customer records, and touching production systems. That makes them less like software and more like new team members, and team members need a role, an identity, a manager, and limits on what they can decide alone. Most organizations haven’t given their agents any of that yet.

Built on the Harvard Business Review article “To Scale AI Agents Successfully, Think of Them Like Team Members,” this panel will look at what onboarding an agent really involves, from scoped credentials to sign-off thresholds and audit trails. Our panelists will also take on the question every leader faces: how much should an agent be trusted with from the start, and how does it earn more?

📅 November 9–10, 2026 | 9 AM – 2 PM PT | Virtual | Free to attend
🔗 Register now to save your spot: https://t.co/KRkNMsDlDL

#datasciencedojo #agenticaiconference #futureofdataandai

[Data Science Dojo @DataScienceDojo]

5 myths about coding agents, and what it actually takes for one to ship real code 👇

❌ “A better model is all you need.”
✅ Most of an agent’s capability comes from what it can touch.
❌ “Planning is the hard part.”
✅ A coding agent that can only plan can’t ship.
❌ “Real access is too risky.”
✅ Pair broad tool access with strong isolation.
❌ “Every tool needs a custom integration.”
✅ Expose developer tools over MCP.
❌ “You can’t trust what an agent produces.”
✅ A well-equipped agent checks its own work.

On October 21, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, busts all five live. He gives a coding agent a real workspace, sandboxes it, extends it over MCP, and finishes with a PR-style diff that passes CI.

Swipe through all five 👉

📅 Wed, Oct 21 · 11:00 AM PT · Virtual · Free
🔗 Register: https://t.co/tknkMaBBl7

#CodingAgents #AgenticAI #MCP #AIEngineering #DevOps