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Alexey Grigorev, the course creator, will officially start the new cohort of the Data Engineering 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 Session

​Alexey 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?

Data Engineering Zoomcamp is a free 9-week course covering infrastructure setup, workflow orchestration, data warehousing, analytics, batch processing, and streaming. The last three weeks focus on a capstone project in which you'll build an end-to-end data pipeline using a dataset of your choice, demonstrating data lake and warehouse solutions with documentation. Projects are peer-reviewed by fellow participants. ​The new cohort of the Data Engineering Zoomcamp starts on January 12, 2026. You can join by registering here. ​

About the Speaker

Alexey 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 of engineering experience 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

Data Engineering Zoomcamp 2026 Course Launch

Build a Multi-Agent Deep Research System with Temporal - Alexey Grigorev

​In this hands-on workshop, you'll build a durable deep-research agent and learn how to make LLM-powered systems reliable enough for real production environments.

​We’ll walk through:

  • ​Building a deep-research agent step by step
  • ​Handling failures and unpredictable LLM behavior
  • ​Designing agentic workflows with Temporal + PydanticAI

​By the end of the workshop, you'll know how to take an idea from PoC to a production-grade multi-agent system with Temporal: observable, fault-tolerant, easy to extend, and designed to survive real-life conditions. ​ ​About the speaker:

Alexey 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. ​

​​​​​​DataTalks.Club is the place to talk about data. Join our slack community!

​This event is sponsored by Temporal.

Durable Agentic Workflows with Temporal.io

Curious about the Data Engineering Zoomcamp? Join us for a live, interactive Q&A session with course creator Alexey Grigorev and get all your questions answered before the new cohort begins on January 12, 2026.

​What You’ll Learn During the Session

​Alexey will walk you through:

  • Course curriculum: An overview of the topics, tools, and real-world projects you'll work on
  • Assignments and grading: How homework and peer reviews are structured
  • Getting help and feedback: How support works during the course and in the community
  • Portfolio-building projects: Which hands-on projects will you build during the course to showcase your skills
  • Learning with the community: How to engage with 79k+ learners in the DataTalks.Club Slack

​Alexey will also share tips on how to follow the material effectively, pace your learning, and stay motivated throughout the course. ​You’ll get a chance to meet the instructor, learn more about the course structure, and ask your questions. ​

Thinking About Data Engineering Zoomcamp?

Data Engineering Zoomcamp is a free 9-week course covering infrastructure setup, workflow orchestration, data warehousing, analytics, batch processing, and streaming. The last three weeks focus on a capstone project in which you'll build an end-to-end data pipeline using a dataset of your choice, demonstrating data lake and warehouse solutions with documentation. Projects are peer-reviewed by fellow participants. ​The new cohort of the Data Engineering Zoomcamp starts on January 12, 2026. You can join by registering here. ​

About the Speaker

Alexey 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

Data Engineering Zoomcamp 2026 Pre-Course Live Q&A

Alexey Grigorev is hosting a live hands-on workshop to explore how Docker can simplify your data workflows, from setting up databases to packaging your scripts for reproducibility. ​This session is open to everyone interested in learning practical Docker skills for data engineering and analytics. ​During the workshop, we’ll walk through a complete workflow using Docker, PostgreSQL, pgAdmin, and Docker Compose, showing how to run and connect multiple services with minimal setup effort. ​ ​What you’ll learn:

  • ​Why Docker is essential for modern data work
  • ​Running PostgreSQL in a Docker container and connecting it to your local environment
  • ​Connecting with pgcli or directly from Jupyter notebooks
  • ​Loading and exploring the NYC Taxi dataset
  • ​Managing databases visually with pgAdmin 4 (latest UI)
  • ​Converting notebooks to scripts and Dockerizing them
  • ​Running multi-container setups with Docker Compose
  • ​Understanding Docker networking, port mapping, and volumes

​The workshop will be recorded and later used to refresh the Docker module of the Data Engineering Zoomcamp, so you’ll also get a preview of what’s coming in the new course release. ​ ​Thinking about DE Zoomcamp? ​Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course 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

Docker for Data Engineering: Postgres, Docker Compose, and Real-World Workflows

Alexey 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 Session

​Alexey 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 Speaker

Alexey 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

AI Dev Tools Zoomcamp 2025 Course Launch

Curious about the AI Dev Tools Zoomcamp 2025? Join us for a live, interactive Q&A session with course creator Alexey Grigorev and get all your questions answered before the new cohort begins on November 18, 2025. ​ ​What You’ll Learn During the Session

​Alexey will walk you through:

  • Course curriculum: An overview of the topics, tools, and real-world projects you'll work on
  • Assignments and grading: How homework and peer reviews are structured
  • Getting help and feedback: How support works during the course and in the community
  • Portfolio-building projects: Which hands-on projects you will build during the course to showcase your skills
  • Learning with the community: How to engage with 79k+ learners in the DataTalks.Club Slack

​He’ll also share tips on how to follow the material effectively, pace your learning, and stay motivated throughout the course.

​You’ll get a chance to meet the instructor, learn more about the course structure, and ask your questions. ​ ​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 Speaker

Alexey 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

AI Dev Tools Zoomcamp 2025 Pre-Course Live Q&A
Deep Learning with PyTorch 2025-10-28 · 15:30

Image Classification with PyTorch: ML Zoomcamp Module Update - Alexey Grigorev

​This is the fourth workshop in our ML series on ML model deployment and engineering.

​In the ML Zoomcamp course, our Deep Learning module has traditionally focused on TensorFlow and Keras. But PyTorch has rapidly become the dominant framework for deep learning.

​In this workshop, we’ll demonstrate how to implement key concepts, like convolutional neural networks, transfer learning, and training loops, using PyTorch.

​Led by Alexey Grigorev, this hands-on workshop demonstrates how to rewrite a TensorFlow/Keras project into PyTorch and train image classifiers.

​What you’ll learn:

  • ​How to set up a deep learning project in PyTorch
  • ​How to implement convolutional neural networks (CNNs) from scratch
  • ​How to apply transfer learning with pre-trained models like MobileNet
  • ​Key differences between TensorFlow/Keras and PyTorch
  • ​How to handle data preprocessing and augmentation in PyTorch
  • ​How to evaluate, checkpoint, and improve your models

​By the end, you’ll have a working PyTorch training pipeline and an understanding of how it maps to the TensorFlow/Keras version.

​Like the other workshops, this will be a live demo with practical tips and time for Q&A. ​

Thinking About ML Zoomcamp?

​This workshop reflects the updated Deep Learning module (Module 8) in the ML Zoomcamp. You’ll get a preview of how the course now includes both TensorFlow and PyTorch, so you can choose the framework that fits your workflow.

​ML Zoomcamp is our free 4-month course that takes you from beginner to advanced ML engineer. It covers the fundamentals of ML, from regression and classification to deployment and deep learning.

​The new cohort of the ML Zoomcamp starts on September 15, 2025. You can join it by registering here. ​

About the Speaker

Alexey 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

Deep Learning with PyTorch

A hands-on introduction to serving machine learning models in production - Alexey Grigorev

​This is the third workshop in our ML series on ML model deployment. ​Building on the FastAPI service created in Part 1, we’ll now show how to deploy that service using Kubernetes, the industry standard for managing containerized applications in production. ​Led by Alexey Grigorev, this workshop focuses on infrastructure, orchestration, and scaling.

​What You'll Learn

  • ​How to containerize a model and preprocessing step as microservices
  • ​How to use Docker Compose to test your setup locally
  • ​How to deploy your services to Kubernetes
  • ​How to connect everything together into a working ML system
  • ​The basics of using EKS (Elastic Kubernetes Service) for managed deployments

​It will be a live demo with practical tips and a chance to ask your questions. This workshop gives you a real feel for how ML models are deployed in real-world environments. ​ ​Thinking About ML Zoomcamp? ​This workshop reflects the updated content of Module 5 in the ML Zoomcamp, giving you a taste of modern ML deployment practices you'll explore in the course.

​ML Zoomcamp is our free 4-month course that takes you from beginner to advanced ML engineer. It covers the fundamentals of ML, from regression and classification to deployment and deep learning. ​The new cohort of the ML Zoomcamp starts on September 15, 2025. You can join it by registering here. ​ ​About the Speaker

Alexey 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

Deploying ML Models with Kubernetes

Alexey Grigorev, the course creator, will officially start the new cohort of the Machine Learning 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 Session

​Alexey 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 ML Zoomcamp?

​ML Zoomcamp is a free 4-month course designed to take you from beginner to advanced ML engineer. It covers the entire ML pipeline, from fundamentals like regression and classification to deployment and deep learning. ​The new cohort of the ML Zoomcamp starts on September 15, 2025. You can join it by registering here. ​ ​About the Speaker

Alexey 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**

ML Zoomcamp 2025 Course Launch

Curious about the Machine Learning Zoomcamp? Join us for a live, interactive Q&A session with course creator Alexey Grigorev and get all your questions answered before the new cohort begins on September 15, 2025.

​What You’ll Learn During the Session

​Alexey will walk you through:

  • Course curriculum: An overview of the topics, tools, and real-world projects you'll work on
  • Assignments and grading: How homework, quizzes, and peer reviews are structured
  • Getting help and feedback: How support works during the course and in the community
  • Portfolio-building projects: Capstone and midterm projects to showcase your skills
  • Learning with the community: How to engage with 70k+ learners in the DataTalks.Club Slack

​He’ll also share tips on how to follow the material effectively, pace your learning, and stay motivated throughout the course. ​You’ll get a chance to meet the instructor, learn more about the course structure, and ask your questions. ​ ​Thinking About ML Zoomcamp? ​ML Zoomcamp is a free 4-month course designed to take you from beginner to advanced ML engineer. It covers the entire ML pipeline, from fundamentals like regression and classification to deployment and deep learning.

​The new cohort of the ML Zoomcamp starts on September 15, 2025. You can join it by registering here.

About the Speaker

Alexey 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

ML Zoomcamp 2025 Pre-Course Live Q&A

A low-cost, auto-scaling approach to serving ML models - Alexey Grigorev

​This is the second workshop in our ML series on ML model deployment.

​Building on the FastAPI service created in Part 1, we’ll now show how to deploy that service using Kubernetes, the industry standard for managing containerized applications in production.

​In this hands-on session, you’ll learn how to deploy machine learning models using serverless infrastructure, specifically AWS Lambda. Serverless deployment is a great alternative to managing your own infrastructure, ideal for lightweight models or infrequent inference.

​This session walks you through packaging your model, creating a Lambda function, and exposing it via API Gateway.

​ What You'll Learn

  • ​What serverless means and when to use it
  • ​How AWS Lambda works for ML model serving
  • ​How to prepare your model for deployment with TensorFlow Lite
  • ​How to package your code and dependencies in a Docker image
  • ​How to expose your Lambda function using API Gateway

​It will be a live demo with practical tips and a chance to ask your questions. This workshop gives you a real feel for how ML models are deployed in real-world environments.

Thinking About ML Zoomcamp? This workshop reflects topics from Module 9 in ML Zoomcamp, our free 4-month course that takes you from beginner to advanced ML engineer. It covers the fundamentals of ML, from regression and classification to deployment and deep learning.

​The new cohort of the ML Zoomcamp starts on September 15, 2025. You can join it 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

Deploying ML Models with AWS Lambda (Serverless)

Alexey Grigorev, the course creator, will officially start the new cohort of the Machine Learning 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 Session

​Alexey 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 ML Zoomcamp? ​ML Zoomcamp is a free 4-month course designed to take you from beginner to advanced ML engineer. It covers the entire ML pipeline, from fundamentals like regression and classification to deployment and deep learning. ​The new cohort of the ML Zoomcamp starts on September 15, 2025. You can join it by registering here. ​ ​About the Speaker

Alexey 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.htm

ML Zoomcamp 2025 Course Launch
Build an AI Coding Agent 2025-08-12 · 14:30

Get a taste of the upcoming AI Dev Tools Zoomcamp in this free, hands-on workshop led by course creator Alexey Grigorev.

​What to expect?

​In this practical session, we'll go from concept to code and implement an AI agent that writes code on its own. ​This session is part of the upcoming AI Dev Tools Zoomcamp and gives you a preview of how we move from theory to real-world projects using state-of-the-art tools.

​What we'll cover?

  • What is RAG (Retrieval-Augmented Generation): Learn how combining a knowledge base with LLMs allows more accurate, context-aware responses.
  • Using agentic search: We'll explain what agentic search is and how it allows AI systems to reason, plan, and take multi-step actions.
  • Live implementation of a coding agent: You'll see how to build an autonomous AI agent that can write and improve code based on natural language prompts.

​Expect a lively, interactive session where you can ask questions, follow along, and implement your first AI agent.

Curious about the full Zoomcamp?

​We'll give you a rundown of the kinds of projects and skills you'll tackle, and show you how AI can make your dev flow more efficient.


​About the speaker

Alexey Grigorev is the founder of DataTalks.Club, a community of 73,000+ data enthusiasts. ​

​​​​​DataTalks.Club is the place to talk about data. Join our slack community!

Build an AI Coding Agent

A modern approach to serving ML models in production - Alexey Grigorev

Join us for a hands-on workshop on deploying machine learning models using FastAPI and uv, a modern Python package and virtual environment manager.

​Led by Alexey Grigorev, this live session introduces updated tools and workflows for building and serving ML models in production environments.

​By the end, you'll have a working web service exposing your model, packaged and ready for production.

​What You'll Learn

  • ​How to structure your ML project for deployment
  • ​How to manage environments and dependencies with uv
  • ​How to build and expose your ML model using FastAPI
  • ​How FastAPI compares to Flask for serving models
  • ​How to containerize your service and prepare it for deployment

​It will be a live demo with practical tips and a chance to ask your questions. This workshop gives you a real feel for how ML models are deployed in real-world environments. ​ ​Thinking About ML Zoomcamp? ​This workshop offers a sneak peek into the type of projects and skills you'll build during the ML Zoomcamp, our free 4-month course that takes you from beginner to advanced ML engineer. It covers the fundamentals of ML, from regression and classification to deployment and deep learning. ​The new cohort of the ML Zoomcamp starts on September 15, 2025. You can join it by registering here. ​ ​About the Speaker

Alexey 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

Deploying ML Models with FastAPI and uv

How to build, refactor, and extend your own agents - Alexey Grigorev

​Join us for a hands-on walkthrough of building a chat assistant powered by OpenAI’s function calling, led by Alexey Grigorev. This live session focuses on understanding the code behind agent-like assistants.

​During a previous workshop, Alexey demoed how to build such an assistant quickly. This time, we’ll slow down, go deeper, explaining the code line by line, refactoring it into a reusable library. We will also go over the MCP protocol and create a simple MCP client from scratch.

​By the end, you’ll better understand how this assistant works and gain a solid foundation to extend the same setup in your projects.

​What You'll Learn

  • ​How OpenAI function calling works in practice
  • ​Building a basic assistant in Jupyter, step by step
  • ​Refactoring assistant logic into a clean, reusable Python class
  • ​Extending function calling with MCP

​It will be a live demo with practical tips and a chance to ask your questions. ​ ​Thinking About LLM Zoomcamp? ​This workshop is part of the things and projects we do at LLM Zoomcamp, a free online course about real-life applications of LLMs. In 10 weeks, you will learn how to build an AI system that answers questions about your knowledge base. ​The course is now live. You can join it 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

Build Agentic Assistants with OpenAI Function Calling: Part 2

Get a taste of the upcoming AI Dev Tools Zoomcamp in this free, hands-on workshop led by course creator Alexey Grigorev.

​What to expect?

​In this hands-on session, we'll introduce you to the concepts of vibe coding and co-coding, and show you how to build a simple game like "Match Three" using AI. User Uploaded Image ​You’ll see what it's like to co-code with AI in real time, just like we'll do in the AI Dev Tools Zoomcamp.

​You'll learn:

  • ​What "vibe coding" is and how AI-assisted development works
  • ​Which AI tools are available for developers today
  • ​How to quickly start a new project using AI support
  • ​How to build game UI and logic inside Cursor
  • ​The kinds of projects and skills you'll explore in the full course
  • ​How AI can speed up and streamline your development process

​Expect a lively, interactive session where you can ask questions, follow along, and see the value of AI in your coding workflow.

​Whether you’re already signed up or still thinking about joining, this is a great way to see how the course works in practice.

Curious about the full Zoomcamp?

​We'll give you a rundown of the kinds of projects and skills you'll tackle, and show you how AI can make your dev flow more efficient.


​About the speaker

Alexey Grigorev is the founder of DataTalks.Club, a community of 73,000+ data enthusiasts. ​

​​​​​​DataTalks.Club is the place to talk about data. Join our slack community!

Introduction to Vibe Coding: Build a Game with AI

Build with LLM Applications for the Community - Alexey Grigorev

​We’re starting the DataTalks.Club Summer 2025 AI Hackathon, a 9-week opportunity to turn your LLM knowledge into useful LLM-based tools for the community.

​In this launch webinar, we will cover:

  • ​The goal and structure of the hackathon
  • ​How to submit and select project ideas: Submit your idea here
  • ​Criteria for project selection
  • ​Examples of potential project directions
  • ​Team creation process
  • ​Q&A session to clarify logistics and expectations

​If you’re still unsure what to build, this session is a great place to get inspiration, feedback, and guidance.

​About the Speaker

Alexey Grigorev is the creator of DataTalks.Club and instructor of the popular Zoomcamp series. He designs and teaches practical AI/ML workflows used by thousands of learners globally. In this workshop, Alexey brings his hands-on teaching style to the emerging field of agentic LLMs, helping you build useful assistants from scratch.


​​​​​​​​DataTalks.Club is the place to talk about data. Join our slack community!

DataTalks.Club Summer 2025 AI Hackathon Launch

A hands-on workshop on turning retrieval-augmented generation into agentic AI flows - Alexey Grigorev

Description: ​Retrieval-Augmented Generation (RAG) is a common approach for building AI assistants, but most implementations stop at a single search + answer pattern. In this practical workshop, we go a step further.

​You'll learn how to make RAG pipelines more agentic: enabling decision-making, tool use, multi-step reasoning, and real-time interaction with users. We’ll build step by step, from simple retrieval to agent-powered assistants capable of asking follow-up questions, running tool calls, and updating their own knowledge base.

​What we’ll cover:

  • ​Build a basic RAG pipeline: Implement search + prompt + LLM logic using course FAQs
  • ​Add agentic behavior - ​Let the assistant decide when to search or answer - ​Introduce state\, reasoning\, and multi-step flows
  • ​Implement agentic search - Iterate over multiple search queries - Use search history and reasoning to refine results
  • ​Use OpenAI function calling - Add tool support: search and FAQ updates - Maintain interaction history and responses
  • ​Build a working assistant - Organize your logic with chat_assistant.py - Interact with a live\, modular AI assistant
  • ​Explore PydanticAI - Define tools with type hints and docstrings - Run your assistant in a fully typed agent framework

​What you’ll get: ​A working RAG-based AI assistant that can:

  • ​Search FAQs
  • ​Decide when to act
  • ​Ask follow-up questions
  • ​Add entries to its own knowledge base

​Everything runs in Jupyter with Python. You can follow along with GitHub Codespaces or use your own environment. ​ About the Speaker: ​Alexey Grigorev is the creator of DataTalks.Club and instructor of the popular Zoomcamp series. He designs and teaches practical AI/ML workflows used by thousands of learners globally. In this workshop, Alexey brings his hands-on teaching style to the emerging field of agentic LLMs, helping you build useful assistants from scratch.

Join our slack: https://datatalks.club/slack.html

From RAG to Agents: Making Smart AI Assistants (LLM Zoomcamp bonus module)
Competition overview 2025-06-10 · 15:00
Alexander Guschin – Machine Learning Engineer , Alexey Grigorev – Founder @ DataTalks.Club

How the challenge works and what you’ll build

Platform walkthrough 2025-06-10 · 15:00
Alexander Guschin – Machine Learning Engineer , Alexey Grigorev – Founder @ DataTalks.Club

How to deploy, monitor, and evaluate your ML system in a live environment

AI/ML