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Cohort-based courses

Our cohort-based educational activities are meant to be taken by a group of students simultaneously. Hence the name “cohort-based”.


It’s a hands-on, feedback-based experience where you can share your understanding and applications of the course material with your fellow students.

 

During our live sessions, you will be able to engage directly with our lecturers and ML practitioners from international tech companies and startups.

 

After you complete your course, you retain access to all the materials and our Slack community, and you can participate in our alum events to expand your network.

Research Papers Club

We offer weekly Paper Club meetings for everyone passionate about knowledge exchange.
 

During these meetings, you will learn about the latest research papers in ML and discuss the material with your peers.

paper club

Cohort-based courses

Designed to give you a proper skill set to accelerate your career

Refer a friend - get 15% discount

  • Dmytro
    Dmytro Voitekh

    ML Lead at Proxet

Start:
MLOps: Deep Dive Into Modern ML Productionalization
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Dmytro Voitekh
ML Lead at Proxet
  • Ivan
    Ivan Altsybieiev

    CPO & Co-founder at Reface

  • Tania
    Tania Yaroshenko

    Head of Product at Pawa

  • Hanna
    Hanna Shuvalova

    Managing Partner at Pawa

Start: February
Product management from ML experts: from 0 to 1
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Ivan Altsybieiev
CPO & Co-founder at Reface
  • Roman
    Roman Kyslyi

    PhD in CS, AI Lead at Infopulse

  • Volodymyr
    Volodymyr Sydorskyi

    Kaggle Competition Master, R&D TeamLead at Respeecher

Start: January 16th
Fake News Detection
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Roman Kyslyi
PhD in CS, AI Lead at Infopulse
  • Viktor
    Viktor Didkovskyi

    Senior ML Engineer at Energi

Start: January
Natural Language Processing: Trends & Solutions
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Viktor Didkovskyi
Senior ML Engineer at Energi

Upskill or Reskill Your Team

>18x

more engagement than traditional learning libraries

91%

of staff feel more confident and effective

+27%

average uplift on key metrics for teams that attend

Join our growing list of enterprise clients

Research Papers Club

Weekly online discussions of the latest research in ML

"AI? In my day, we called it Data and Statistics. And it wasn't sexy at all" – Marijn Markus, Managing Data Scientist, who has more than 6 years of experience in this industry. In the live talk, on November 25, at 12 AM, Kyiv time, Marijn Markus will share his views and experience on Data Science. The vast differences between theory and practice, the dysfunctionality of organizations, And how Data can be applied to change lives - from burnouts and fighting crime to whales and farming. From distinguishing science and fiction, creating friction and first introductions, to research, development, team management and implementing AI in production.

Live talk «AI 2 life: How Data Science will change everything?»
Live talk «AI 2 life: How Data Science will change everything?»
Join & watch the record
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Marijn Markus
Managing Data Scientist at Capgemini

Let's talk about robots? They really fit well into human existence and help us solve many routine tasks. Such as home care, delivery of things over short distances, and this is just the beginning. But is the explicit mapping actually necessary for accurate indoor navigation?

Research papers club #7: Is Mapping Necessary for Realistic PointGoal Navigation
Research papers club #7: Is Mapping Necessary for Realistic PointGoal Navigation
Join & watch the record
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Ruslan Partsey
AI Researcher at UCU

Stable Diffusion is a text-to-image diffusion model capable of generating photorealistic images for any text input. This model provides an overview of all available model control points and derives from the concept of Latent Diffusion Models (LDM). By decomposing the image formation process into sequential applications of noise-reducing autoencoders, diffusion models (DM) achieve state-of-the-art results in synthesizing images and other data.

Research papers club #6: Stable Diffusion path
Research papers club #6: Stable Diffusion path
Join & watch the record
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Vitaly Bondar
Senior DL Researcher at Neuromation

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