Only Until July 24: ✓ Save up to $600 ✓ 4-Day Special✓ Access to Parallel Conferences for $250

Only Until July 24: ✓ Save up to $600 ✓ 4-Day Special✓ Access to Parallel Conferences for $250

Only Until August 7: ✓ Save up to 720€ ✓ Free ML Strategy Day ✓ Free Gadget

Only Until August 7: ✓ Save up to 720€ ✓ Free ML Strategy Day ✓ Free Gadget

Thanks For Another Great Conference Week: ✓ See You in 2026 ✓ Stay Tuned and Register for Our Newsletter

Thanks For Another Great Conference Week: ✓ See You in 2026 ✓ Stay Tuned and Register for Our Newsletter

Thanks For Another Great Conference Week: ✓ See You in 2026 ✓ Stay Tuned and Register for Our Newsletter

Thanks For Another Great Conference Week: ✓ See You in 2026 ✓ Stay Tuned and Register for Our Newsletter

Until the Conference starts: ✓ Team discount ✓ Access to devmio

Until the Conference starts: ✓ Team discount ✓ Access to devmio

Training Days


Various advanced hands-on workshops led by well know experts for those who want to take their machine learning journey to the next level

December 1 – December 2, 2022 | Berlin or Online

What’s a Training Day at MLCON Berlin like?

MLCON Workshops keep their promise – namely a lot of practice! Deep Learning, Tensor Flow, Python, or Google Actions, all trainings are motivated to apply and develop new ideas in just one day and to get feedback and support directly from an expert. The principle is to bring people from different industries together, to promote their creativity and to work out ideas and concepts together. “Practical application” is the motto here.

Thus the trainings are the ideal complement to the MLCON sessions and keynotes.

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Feature Engineering and Feature Selection Workshop Part 1

Pieter Buteneers,
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 2

Dr. Neda Navidi, ETS
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Workshop: Advancements in Natural Language Processing (NLP)

Leonardo De Marchi, idea.io
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Feature Engineering and feature Selection Part 1

Pieter Buteneers,
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Graph-Powered Machine Learning Workshop

Graph-Powered Machine Learning Workshop,
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Deep Learning in Image and Video Applications Part 1

Dr. Majid Baa Wafaa, RecomAI
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AI, Machine Learning & Data Science Essentials in Python Part 1

Dr. Neda Navidi, ETS
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Feature Engineering and feature Selection Workshop Part 2

Pieter Buteneers,
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AI, Machine Learning & Data Science Essentials in Python Part 2

Dr. Neda Navidi, ETS
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Intro to Data Science with Python Workshop

Grishma Jena, IBM
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Conversation Workshop: Conversation Design 101

Maaike Coppens, OpenDialog.ai
Tom Hewitson, Conversation Designer
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Machine Learning 101++ Using Python Workshop

Pieter Buteneers,
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Image Recognition with OpenCV and TensorFlow Workshop

Tim Wüllner, OPEN KNOWLEDGE GmbH
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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AI/Deep Learning in marketing and finance Applications Workshop Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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AI/Deep Learning in marketing and finance Applications Workshop Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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How to turn large amounts of text into insights with machine learning Workshop Part 1

Dr. Christian Winkler, datanizing GmbH
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How to turn large amounts of text into insights with machine learning Workshop Part 2

Dr. Christian Winkler, datanizing GmbH
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MLOps with MLFlow Workshop

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Saumya Goyal, Datamics GmbH
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Workshop: Using Polars For Data Analytics

Wei-Meng Lee, Developer Learning Solutions
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Workshop: Image Recognition with TensorFlow

Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Deep Learning in Image and Video Applications Part 2

Dr. Majid Baa Wafaa, RecomAI
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Lightning fast data analysis with pure numpy

Vadim Markovtsev, source{d}
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Workshop: Machine Learning 101++ Using Python

Pieter Buteneers,
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Data Science From Research to Production With Jupyter, Kubeflow & Nuclio

Or Zilberman, Iguazio
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Curating Quality Datasets for Machine Learning

Jigyasa Grover, Twitter, Inc.
Rishabh Misra, Twitter, Inc.
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop

Dr. Neda Navidi, ETS
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Workshop: Conception and design of customer-centric IoT ecosystems

Workshop: Conception and design of customer-centric IoT ecosystems,
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Essential Workshop to Exploratory Data Analysis and Feature Engineering

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Workshop: Advancements in NLP

Leonardo De Marchi, idea.io
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How to turn large amounts of text into insights with machine learning

Dr. Christian Winkler, datanizing GmbH
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Machine Learning 101++ Using Python Part 2

Pieter Buteneers,
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Up and Running with Kubernetes: Part 1

Oz Tiram, tiram.it
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Making Machine Learning Models Attack-Proof with Adversarial Robustness

Serg Masis, Syngenta
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Graph Powered Machine Learning: Part 1

Graph Powered Machine Learning: Part 1,
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 1

Aleksandr Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Graph Powered Machine Learning: Part 2

Graph Powered Machine Learning: Part 2,
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 2

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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ML Strategy Day

Christoph Henkelmann, DIVISIO GmbH
Alex Honchar, Neurons Lab
Arif Wider, Thoughtworks Deutschland / HTW Berlin
Christoph Windheuser, Databricks
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Hands-on Workshop: Reinforcement Learning with TF-Agents & TensorFlow 2.0

Dr. Christian Hidber, bSquare AG
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Conversational Design Workshop: Build awesome Chatbots and Voice Assistants

Jeremy Wilken, Design for Voice

Global Power Workshops

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Feature Engineering and Feature Selection Workshop Part 1

Pieter Buteneers,
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 2

Dr. Neda Navidi, ETS
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Workshop: Advancements in Natural Language Processing (NLP)

Leonardo De Marchi, idea.io
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Feature Engineering and feature Selection Part 1

Pieter Buteneers,
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Graph-Powered Machine Learning Workshop

Graph-Powered Machine Learning Workshop,
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Deep Learning in Image and Video Applications Part 1

Dr. Majid Baa Wafaa, RecomAI
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AI, Machine Learning & Data Science Essentials in Python Part 1

Dr. Neda Navidi, ETS
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Feature Engineering and feature Selection Workshop Part 2

Pieter Buteneers,
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AI, Machine Learning & Data Science Essentials in Python Part 2

Dr. Neda Navidi, ETS
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Intro to Data Science with Python Workshop

Grishma Jena, IBM
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Conversation Workshop: Conversation Design 101

Maaike Coppens, OpenDialog.ai
Tom Hewitson, Conversation Designer
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Machine Learning 101++ Using Python Workshop

Pieter Buteneers,
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Image Recognition with OpenCV and TensorFlow Workshop

Tim Wüllner, OPEN KNOWLEDGE GmbH
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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AI/Deep Learning in marketing and finance Applications Workshop Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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AI/Deep Learning in marketing and finance Applications Workshop Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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How to turn large amounts of text into insights with machine learning Workshop Part 1

Dr. Christian Winkler, datanizing GmbH
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How to turn large amounts of text into insights with machine learning Workshop Part 2

Dr. Christian Winkler, datanizing GmbH
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MLOps with MLFlow Workshop

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Saumya Goyal, Datamics GmbH
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Workshop: Using Polars For Data Analytics

Wei-Meng Lee, Developer Learning Solutions
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Workshop: Image Recognition with TensorFlow

Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Deep Learning in Image and Video Applications Part 2

Dr. Majid Baa Wafaa, RecomAI
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Lightning fast data analysis with pure numpy

Vadim Markovtsev, source{d}
Workshop Type Icon

Workshop: Machine Learning 101++ Using Python

Pieter Buteneers,
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Data Science From Research to Production With Jupyter, Kubeflow & Nuclio

Or Zilberman, Iguazio
Workshop Type Icon

Curating Quality Datasets for Machine Learning

Jigyasa Grover, Twitter, Inc.
Rishabh Misra, Twitter, Inc.
Workshop Type Icon

Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop

Dr. Neda Navidi, ETS
Workshop Type Icon

Workshop: Conception and design of customer-centric IoT ecosystems

Workshop: Conception and design of customer-centric IoT ecosystems,
Workshop Type Icon

Essential Workshop to Exploratory Data Analysis and Feature Engineering

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Workshop: Advancements in NLP

Leonardo De Marchi, idea.io
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How to turn large amounts of text into insights with machine learning

Dr. Christian Winkler, datanizing GmbH
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Machine Learning 101++ Using Python Part 2

Pieter Buteneers,
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Up and Running with Kubernetes: Part 1

Oz Tiram, tiram.it
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Making Machine Learning Models Attack-Proof with Adversarial Robustness

Serg Masis, Syngenta
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Graph Powered Machine Learning: Part 1

Graph Powered Machine Learning: Part 1,
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 1

Aleksandr Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Graph Powered Machine Learning: Part 2

Graph Powered Machine Learning: Part 2,
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 2

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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ML Strategy Day

Christoph Henkelmann, DIVISIO GmbH
Alex Honchar, Neurons Lab
Arif Wider, Thoughtworks Deutschland / HTW Berlin
Christoph Windheuser, Databricks
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Hands-on Workshop: Reinforcement Learning with TF-Agents & TensorFlow 2.0

Dr. Christian Hidber, bSquare AG
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Conversational Design Workshop: Build awesome Chatbots and Voice Assistants

Jeremy Wilken, Design for Voice

Berlin Workshops 2022

Workshops Singapore 2022

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Workshop: Machine Learning 101++ Using Python

Pieter Buteneers,
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Workshop: Using Polars For Data Analytics

Wei-Meng Lee, Developer Learning Solutions

Workshops Munich 2022