Build and Deploy Production-Ready Machine Learning Models

Watch sessions on algorithm implementation, data processing, and MLOps. Learn from experts using Python, TensorFlow, and PyTorch to solve real-world problems with ML.

Matching Videos

Overview of Machine Learning in Python
57:46

Overview of Machine Learning in Python

Adrian Schmitt

Intelligent Data Selection for Continual Learning of AI Functions
52:10

Intelligent Data Selection for Continual Learning of AI Functions

Nico Schmidt

What is relational learning and why does it matter?
28:00

What is relational learning and why does it matter?

Alexander Uhlig

Getting Started with Machine Learning
44:11

Getting Started with Machine Learning

Alexandra Waldherr

On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization
42:18

On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization

Francis Powlesland & Elena Kotljarova

The best of both worlds: Combining Python and Kotlin for Machine Learning
26:28

The best of both worlds: Combining Python and Kotlin for Machine Learning

Nils Kasseckert

Intelligent Automation using Machine Learning
2:11:02

Intelligent Automation using Machine Learning

Boris Krumrey & Andreas Palfi & Radu Pruna

How Machine Learning is turning the Automotive Industry upside down
26:55

How Machine Learning is turning the Automotive Industry upside down

Jan Zawadzki

Mastering Image Classification: A Journey with Cakes
25:19

Mastering Image Classification: A Journey with Cakes

Carly Richmond

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization
45:58

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization

Andreas Christian

PySpark - Combining Machine Learning & Big Data
43:26

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Empowering Retail Through Applied Machine Learning
22:41

Empowering Retail Through Applied Machine Learning

Christoph Fassbach & Daniel Rohr

The State of GenAI & Machine Learning in 2025
26:47

The State of GenAI & Machine Learning in 2025

Alejandro Saucedo

Vikings language, the speech of the king Vasa or today's Swedish? Text classification with ML.NET.
27:51

Vikings language, the speech of the king Vasa or today's Swedish? Text classification with ML.NET.

Daniel Gaszewski

In the Dawn of the AI: Understanding and implementing AI-generated images
30:38

In the Dawn of the AI: Understanding and implementing AI-generated images

Timo Zander

Shoot for the moon - machine learning for automated online ad detection
31:23

Shoot for the moon - machine learning for automated online ad detection

Humera Minhas & Parinitha Hirehal

Detect Hand Pose with Vision
28:51

Detect Hand Pose with Vision

Milan Todorovic

How computers learn to see – Applying AI to industry
22:11

How computers learn to see – Applying AI to industry

Antonia Hahn

Is it (F)ake?! Image Classification with TensorFlow.js
25:43

Is it (F)ake?! Image Classification with TensorFlow.js

Carly Richmond

Scrape, Train, Predict: The Lifecycle of Data for AI Applications
26:15

Scrape, Train, Predict: The Lifecycle of Data for AI Applications

Vidas Bacevičius

The shadows of reasoning – new design paradigms for a gen AI world
25:14

The shadows of reasoning – new design paradigms for a gen AI world

Jonas Andrulis

Unleashing the power of AI to prevent financial crime
29:40

Unleashing the power of AI to prevent financial crime

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML
39:58

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Linda Mohamed

Staying Safe in the AI Future
27:26

Staying Safe in the AI Future

Cassie Kozyrkov

Enter the Brave New World of GenAI with Vector Search
1:00:56

Enter the Brave New World of GenAI with Vector Search

Mary Grygleski

Build UIs that learn - Discover the powerful combination of UI and AI
21:35

Build UIs that learn - Discover the powerful combination of UI and AI

Eliran Natan

AI in the Open and in Browsers - Tarek Ziadé
53:54

AI in the Open and in Browsers - Tarek Ziadé

Tarek Ziadé

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.
57:49

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.

Jodie Burchell

100 million days in Vienna: A story of APIs & AI in tourism.
43:11

100 million days in Vienna: A story of APIs & AI in tourism.

Thomas Reiter

Machine learning 101: Where to begin?
26:25

Machine learning 101: Where to begin?

Lutske De Leeuw

Is my AI alive but brain-dead? How monitoring can tell you if your machine learning stack is still performing
48:07

Is my AI alive but brain-dead? How monitoring can tell you if your machine learning stack is still performing

Lina Weichbrodt

Mastering Image Classification: A Journey with Cakes
25:19

Mastering Image Classification: A Journey with Cakes

Carly Richmonds

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML
30:58

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML

Daniel Brintzinger

AI & Ethics
28:27

AI & Ethics

PJ Hagerty

Outsmarting the System: What Game Cheaters Can Teach Us About Cyber Security
17:31

Outsmarting the System: What Game Cheaters Can Teach Us About Cyber Security

John Romero

WeAreDevelopers LIVE: What's happening to React?, All-in-one editors, Fireships and Firebases & more
47:53

WeAreDevelopers LIVE: What's happening to React?, All-in-one editors, Fireships and Firebases & more

Chris Heilmann & Daniel Cranney & Tejas Kumar