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A group for experienced and aspiring data professionals.
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Kommende Veranstaltungen
3
•OnlineAI Dev Tools Zoomcamp 2025 Course Launch
OnlineAlexey Grigorev, the course creator, will officially start the new cohort of the AI Dev Tools Zoomcamp in this live session. He’ll walk you through the course structure, key topics, and what you’ll build.
What You’ll Learn During the SessionAlexey will walk you through:
- What’s included in the course: topics, tools, and hands-on projects
- How assignments, feedback, and scoring work
- How to approach the material, even if you’re new to ML
- What it’s like to learn together with thousands of learners in the DataTalks.Club community
You’ll also have a chance to ask Alexey your questions live.
Thinking About AI Dev Tools Zoomcamp?
AI Dev Tools Zoomcamp 2025 is a free 6-week course that takes you from experimenting with AI coding assistants to building your own coding agent and automating workflows. Over six modules, you’ll learn vibe coding, build and deploy a React + FastAPI project, extend assistants with the Model Context Protocol (MCP), create an AI agent that scaffolds Django apps, apply AI in testing and DevOps, and use low-code tools like n8n for automation.The new cohort of the AI Dev Tools Zoomcamp starts on November 18, 2025. You can join by registering here.
About the SpeakerAlexey Grigorev is the Founder of DataTalks.Club and creator of the Zoomcamp series.
Alexey is a seasoned software and ML engineer with over 10 years in engineering and 6+ years in machine learning. He has deployed large-scale ML systems at companies like OLX Group and Simplaex, authored several technical books including Machine Learning Bookcamp, and is a Kaggle Master with a 1st place finish in the NIPS'17 Criteo Challenge.Join our slack: https://datatalks.club/slack.html
26 Teilnehmer
•OnlineThe Future of AI Agents
OnlineExploring open source profitability and small language models – Aditya Gautam
Aditya Gautam has built his career at the intersection of AI research, large-scale deployment, and public discourse. With experience at Google, Meta, and leading academic conferences, he works on large language models, AI agents, and responsible AI at scale.
In this episode, Aditya explores the debates around open-source AI, the economics behind LLMs, and the barriers enterprises face when adopting AI agents. He also shares his perspective on the rise of small language models and what these shifts mean for the future of AI.
We plan to cover:
- Open-source AI: democratization and risks
- The economics of LLMs and the challenge of profitability
- Why enterprises struggle to adopt AI agents in practice
- The role of small language models in efficiency and cost reduction
- Emerging trends in AI research and deployment
About the Guest
Aditya Gautam is an AI researcher and engineer whose work spans industrial innovation, academic research, and AI policy. He has held roles at Google and Meta, working on recommendation systems, integrity, and large-scale generative AI deployment. His research covers topics including misinformation, multi-agent systems, and LLM evaluation, and he has published in top-tier conferences such as ICWSM while serving as a peer reviewer for venues like NeurIPS, ICML, and AAAI.
Aditya is also an active voice in the AI community: he speaks at industry events such as the Databricks Data + AI Summit and Analytics Vidhya, contributes to policy discussions around regulations like the EU Digital Services Act, and shares insights on the economics and practical adoption of LLMs and AI agents. He holds a Master’s degree from Carnegie Mellon University.
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62 Teilnehmer
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