ONLY UNTIL CONFERENCE STARTS: ✓ SAVE UP TO 170€ ✓ TEAM DISCOUNT ✓ SPECIALS FOR FREELANCERS

ONLY UNTIL CONFERENCE STARTS: ✓ SAVE UP TO 170€ ✓ TEAM DISCOUNT ✓ SPECIALS FOR FREELANCERS

ONLY UNTIL JUNE 15: ✓ SAVE UP TO $1002 ✓ WORKSHOP DAY FOR FREE ✓ TEAM DISCOUNT

ONLY UNTIL JUNE 15: ✓ SAVE UP TO $1002 ✓ WORKSHOP DAY FOR FREE ✓ TEAM DISCOUNT

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

Dr. Neda Navidi, ETS
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Workshop: Using Polars For Data Analytics

Wei-Meng Lee, Developer Learning Solutions
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Workshop: Advancements in NLP

Leonardo De Marchi, idea.io
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Workshop: Machine Learning 101++ Using Python

Workshop: Machine Learning 101++ Using Python,
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Conversation Workshop: Conversation Design 101

Maaike Coppens, OpenDialog.ai
Tom Hewitson, Conversation Designer
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Intro to Data Science with Python Workshop

Grishma Jena, IBM
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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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Workshop: Advancements in Natural Language Processing (NLP)

Leonardo De Marchi, idea.io
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Workshop: Image Recognition with TensorFlow

Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Essential Workshop to Exploratory Data Analysis and Feature Engineering

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Feature Engineering and feature Selection Part 1

Feature Engineering and feature Selection Part 1,
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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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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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Machine Learning 101++ Using Python Workshop

Machine Learning 101++ Using Python Workshop,
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop

Dr. Neda Navidi, ETS
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Deep Learning in Image and Video Applications Part 2

Dr. Majid Baa Wafaa, RecomAI
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Feature Engineering and feature Selection Workshop Part 2

Feature Engineering and feature Selection Workshop Part 2,
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AI, Machine Learning & Data Science Essentials in Python Part 2

Dr. Neda Navidi, ETS
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Lightning fast data analysis with pure numpy

Vadim Markovtsev, source{d}
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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

Machine Learning 101++ Using Python Part 2,
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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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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: Part 2

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Feature Engineering and Feature Selection Workshop Part 1

Feature Engineering and Feature Selection Workshop Part 1,
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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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Conversational Design Workshop: Build awesome Chatbots and Voice Assistants

Jeremy Wilken, Design for Voice
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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

Global Power Workshops

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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: Using Polars For Data Analytics

Wei-Meng Lee, Developer Learning Solutions
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Workshop: Advancements in NLP

Leonardo De Marchi, idea.io
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Workshop: Machine Learning 101++ Using Python

Workshop: Machine Learning 101++ Using Python,
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Conversation Workshop: Conversation Design 101

Maaike Coppens, OpenDialog.ai
Tom Hewitson, Conversation Designer
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Intro to Data Science with Python Workshop

Grishma Jena, IBM
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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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Workshop: Advancements in Natural Language Processing (NLP)

Leonardo De Marchi, idea.io
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Workshop: Image Recognition with TensorFlow

Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Essential Workshop to Exploratory Data Analysis and Feature Engineering

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Feature Engineering and feature Selection Part 1

Feature Engineering and feature Selection Part 1,
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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
Workshop Type Icon

AI, Machine Learning & Data Science Essentials in Python Part 1

Dr. Neda Navidi, ETS
Workshop Type Icon

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.
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Machine Learning 101++ Using Python Workshop

Machine Learning 101++ Using Python Workshop,
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop

Dr. Neda Navidi, ETS
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Deep Learning in Image and Video Applications Part 2

Dr. Majid Baa Wafaa, RecomAI
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Feature Engineering and feature Selection Workshop Part 2

Feature Engineering and feature Selection Workshop Part 2,
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AI, Machine Learning & Data Science Essentials in Python Part 2

Dr. Neda Navidi, ETS
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Lightning fast data analysis with pure numpy

Vadim Markovtsev, source{d}
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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

Machine Learning 101++ Using Python Part 2,
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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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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: Part 2

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Feature Engineering and Feature Selection Workshop Part 1

Feature Engineering and Feature Selection Workshop Part 1,
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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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Conversational Design Workshop: Build awesome Chatbots and Voice Assistants

Jeremy Wilken, Design for Voice
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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

Berlin Workshops 2022

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Feature Engineering and Feature Selection Workshop Part 1

Feature Engineering and Feature Selection Workshop Part 1,
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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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MLOps with MLFlow Workshop

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Saumya Goyal, Datamics GmbH
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Feature Engineering and feature Selection Workshop Part 2

Feature Engineering and feature Selection Workshop Part 2,
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Making Machine Learning Models Attack-Proof with Adversarial Robustness

Serg Masis, Syngenta
Workshop Type Icon

AI/Deep Learning in marketing and finance Applications Workshop Part 2

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 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
Workshop Type Icon

Image Recognition with OpenCV and TensorFlow Workshop

Tim Wüllner, OPEN KNOWLEDGE GmbH
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Graph-Powered Machine Learning Workshop

Graph-Powered Machine Learning Workshop,
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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

Workshops Singapore 2022

Workshops Munich 2022