This course will help you and your team understand the concepts and best practices needed to scale up your Machine Learning Operations (MLOps) in your machine learning projects. It provides ML project team members with an extensive overview of the challenges and decisions encountered in building professional ML systems.

A journey into the AI and the world of work. Developed using foresight principles, this boardgame combines horizon-scanning, long-term strategic thinking, roleplay and immersive scenarios to identify concerns for the different players and come up with plausible solutions. It is developed to create a structured environment that allows the creation of an immersive learning experience to experience various dimensions of AI.

The effective formula to accelerate your knowledge on the EU AI Act

Fast AI with Assurance, Integrity, and Reliability for comprehensive AI governance and oversight.

Climate change, infectious diseases, disasters, air pollution, migration and poverty are among the most critical challenges the world faces today. This four-week, online course looks at the role mobile technology, advanced analytics and artificial intelligence can play in drastically improving the effectiveness and efficiency of planning and responses to these challenges.

“AI Procurement in a Box” is a practical guide that helps governments rethink the procurement of artificial intelligence (AI) technologies with a focus on innovation, efficiency and ethics.

List of references about Machine Learning bias and ethics

Hugging Face provides teachers with the free necessary infrastructure in an effort to democratize access to open and collaborative machine learning for all individuals and organizations all over the world.

This course will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem — Transformers, Datasets, Tokenizers, and Accelerate — as well as the Hugging Face Hub. It’s completely free and without ads.

PyTorch Tutorial for Deep Learning Researchers

The deeplearning algorithms implemented by tensorflow

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

The challenge projects for Inferencing machine learning models on iOS

Videos, notes and experiments to understand deep learning

Using python and scikit-learn to make stock predictions

The Python Code Tutorials

Best Practices, code samples, and documentation for Computer Vision.

Machine learning lessons and teaching projects designed for engineers

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Scenarios, tutorials and demos for Autonomous Driving