DataTalksClub ⬛ cover art
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DataTalksClub ⬛

A community hub for data professionals, offering free courses, expert webinars, and practical talks on AI, MLOps, and data engineering.

The brief

This is a hybrid educational platform centered around a community for data professionals. The YouTube channel features two primary formats: recordings of live-streamed expert webinars and solo technical tutorials. The webinars, hosted by Alexey Grigorev, involve a guest presentation followed by a community Q&A, focusing on the practical challenges of building and deploying data and AI systems. The tutorials are typically part of the platform's extensive free "Zoomcamp" courses.

Unlike typical interview podcasts, DataTalks.Club is built around a massive free educational offering and an active community. The "interviews" are structured more like public university lectures or webinars, prioritizing technical deep-dives and audience questions over personal, narrative-driven conversations.
— What makes it distinctive
§1 · The host

Who hosts this show

DataTalks.Club is a global online community for data practitioners founded and led by Alexey Grigorev. It provides free, in-depth courses called "Zoomcamps," weekly technical events, and a podcast featuring experts from the field. Grigorev, a data scientist and author with over 15 years of experience, hosts the events and creates the educational content, focusing on practical, hands-on learning for skills in data engineering, MLOps, and AI.

AI-extracted bio · help us verify· Source: gemini-video-grounded

Credentials & credits

  • Founder of DataTalks.Club
  • Author of "Machine Learning Bookcamp" and other books
  • Lead Data Scientist at OLX Group
  • Kaggle Master
  • Creator of the "Zoomcamp" course series
  • Master's degree from Erasmus Mundus IT4BI program

Other ventures

  • Data Engineering Zoomcamp
  • Machine Learning Zoomcamp
  • MLOps Zoomcamp
  • LLM Zoomcamp
  • AI Dev Tools Zoomcamp
  • minsearch (open-source search library)
§2 · Classification

What kind of podcast

Country
Germany
Region
europe
§3 · Cadence & catalog

When new episodes drop

Publishing rate
~4/week
Not shown by Apple / Spotify
Total episodes
610
Last episode
14 days ago
Jun 16, 2026
Status
Active
§3b · Editor's picks

Notable episodes

AI-extracted picks + commentary · help us verify
  1. 01
    How to Build AI that actually Ships in Production - Aleksandr Kim

    A representative example of the show's focus on the practical, 'unglamorous' side of AI engineering, covering cost management, customer interviews, and aligning ML metrics with business goals.

  2. 02
    The Agentic Shift in Data Engineering - Nik Bakanchev

    This episode captures the forward-looking but deeply technical nature of the talks, discussing the transition to AI-native infrastructures and the new role of data engineers as 'architects of controlled autonomy'.

  3. 03
    LLM Zoomcamp 1.8 — RAG Helper

    Demonstrates the other major format of the channel: a solo, hands-on coding tutorial from one of the free 'Zoomcamp' courses, showing the educational mission of the platform.

§4 · Signature

What you'll be asked on this show

AI-extracted from recent episodes · help us verify
How the host interviews

As a host, Alexey Grigorev acts as a facilitator and community representative. He often opens by asking guests to trace their career journey to establish their expertise. During a guest's presentation, he interjects with pointed, clarifying questions to simplify complex topics or probe specific technical choices. In the dedicated Q&A segment, he moderates questions from the live audience while weaving in his own follow-ups, which frequently focus on practical trade-offs, industry role definitions, and the human challenges of implementing new technology.

The channel primarily features two formats: expert webinars hosted by Alexey Grigorev and solo coding tutorials where he is the instructor. The webinars consist of a guest's presentation followed by a live Q&A session where Grigorev facilitates questions from the community. The solo videos are structured lessons from the platform's free "Zoomcamp" courses.

Questions the host keeps coming back to

13 catalogued

If you're going on this show as a guest, expect some version of each of these. Each note explains when the host reaches for it.

origin

1
  1. Q.01

    Can you tell us about your career journey and how you got to where you are today?

    This is often his opening question to establish the guest's background and credibility.

process

1
  1. Q.01

    What do you do at [company] these days?

    He asks this to connect the guest's past experience to their current, practical work.

craft

2
  1. Q.01

    Why was a particular technical achievement so complex or important back then?

    Used to probe deeper into a specific project the guest mentions, revealing historical context.

  2. Q.02

    How did you solve the problem of the AI giving generic or useless outputs?

    A practical question to understand the iterative process of improving AI system performance.

industry

2
  1. Q.01

    Is doing [customer interviews/specific task] a typical part of an AI engineer's role?

    This question seeks to define the evolving scope and responsibilities of roles in the industry.

  2. Q.02

    Is there a clear, converged definition of what an AI engineer does in the industry?

    He uses this to get an expert's take on the current state and definition of emerging tech roles.

money

1
  1. Q.01

    How do you manage the costs of using expensive LLMs without compromising quality?

    He often asks this to explore the real-world financial and technical trade-offs in AI engineering.

mindset

3
  1. Q.01

    How do you approach people who are hesitant about automation for fear of being replaced?

    This question addresses the human and organizational challenges of implementing new technology.

  2. Q.02

    When is it time to abandon an AI project that isn't meeting expectations?

    This question explores the strategic and project management side of technical work.

  3. Q.03

    Why are some people still skeptical of AI, and will they have to change?

    Explores the cultural and psychological barriers to technology adoption within organizations.

advice

2
  1. Q.01

    If you were hiring an AI engineer, what skills would you look for?

    A direct request for actionable advice for the audience on how to get hired.

  2. Q.02

    How do new AI tools change the onboarding process for junior developers?

    Focuses on the impact of new technology on career development and learning.

personal

1
  1. Q.01

    Do you personally use these kinds of tools for your own investment or work?

    A question to ground the discussion in the guest's own practical application of their advice.

Signature segments

  • · Free "Zoomcamp" Courses
  • · Live-Streamed Expert Webinars
  • · Community Q&A Sessions
  • · Weekly Technical Events
  • · Open-Source Course Materials on GitHub

Topics covered repeatedly

Data EngineeringMLOpsAI EngineeringLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Career DevelopmentPythonProduction AIMachine LearningCloud Infrastructure
§5 · Guests

Who gets booked here

AI-extracted guest list + profile · help us verify
Typical guest

Guests are typically senior, hands-on data and AI practitioners, engineering managers, or instructors from companies like Google and Intuit. They are booked to deliver a technical presentation or live demonstration on a specific, practical topic like production AI systems, MLOps, or data infrastructure.

Recent guests
  • Nikita Bakenchev
    on The Agentic Shift in Data Engineering - Nik Bakanchev
  • Ivan Brigida
    on Building an AI Stock Research Agent - Ivan Brigida
  • Aleksandr Kim
    on How to Build AI that actually Ships in Production - Aleksandr Kim
  • Ivan Bilan
    on AI Adoption in Enterprise Beyond Writing Code - Ivan Bilan
§6 · Channels & links

Where to find this show

§7 · Stats

Audience & reach

YouTube · first-party
Subscribers
79.9K
79,900
Avg views / video
2.7K
Trailing window
Total views
2.3M
2,261,449
Videos published
610
Sponsor readEstimated

The channel's primary promotion is for its own free "Zoomcamp" courses, which are supported by company sponsorships. Occasionally, a guest's own paid course is co-promoted, suggesting a partnership model for specialized topics.

AI-extracted sponsor read · help us verify

Subscriber and view counts are pulled live from YouTube and re-verified on a 30-day cycle. Listener estimates for the RSS feed aren't published here unless they're host-verified.

§8 · Contact

Pitch this show

Sign-in required
Verified contact
Host / booking email
a•••@•••.club
Public channels

Free: limited reveals · Pro: unlimited reveals + CSV export
You’re only charged when we return a verified hit.

§9b · FAQ

People also ask

AI-extracted researched answers · help us verify
Who is the host and founder of DataTalks.Club?
The founder and primary host is Alexey Grigorev, a data scientist, author, and creator of the platform's free educational courses.
What is the format of the YouTube channel?
The channel features a mix of live-streamed expert webinars with Q&A and solo coding tutorials that are part of the platform's free 'Zoomcamp' courses.
Are the courses offered by DataTalks.Club really free?
Yes, all the 'Zoomcamp' courses are free and open-source, with materials available on GitHub. The community is supported by sponsors and contributions.
How can I join the DataTalks.Club community?
You can join the community's active Slack channel, which has over 79,000 members, and subscribe to their newsletter and event calendar via their website.
Is the podcast still active?
Yes, DataTalks.Club hosts weekly technical events, podcasts, and workshops, with new content published regularly.
What topics are covered in the courses and talks?
The content focuses on practical skills for data professionals, including data engineering, MLOps, machine learning, LLMs, AI applications, and career development.
Last updatedJun 29, 2026Not yet host-verified
Research depthDeep dossierHigh confidence · Jun 29, 2026 · gemini-2.5-pro

Built from the show's public RSS feed, YouTube, the host's own websites, and the cited sources below. Computed and AI-extracted fields are labelled. Facts only — no private info, no fabrication, no transcripts republished.

§9c · Methodology

Sources & how this page was built

This page is AI-assisted, grounded in the public sources cited below, and host-verifiable. We publish facts only; we do not republish transcripts. If anything here is wrong, the host can claim and correct the page above.Model: gemini-2.5-pro · high confidence

  1. [01]DataTalks.Club - GitHubgithub.com
  2. [02]CV - Alexey Grigorevalexeygrigorev.com
  3. [03]Support DataTalks.Clubdatatalks.club
  4. [04]Alexey Grigorev - Data Scientist & ML Engineeralexeygrigorev.com
  5. [05]Welcome to DataTalks.Clubdatatalks.club
  6. [06]Alexey Grigorev - Author of Machine Learning Bookcampgoodreads.com
  7. [07]DataTalks.Club FAQfaq.datatalks.club
  8. [08]Free DataTalks.Club Coursesdatatalks.club
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