Leverage AI to foster a culture of innovation with an experimental mindset. Learn strategies for continuous improvement and successful transformations.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

This course is set up as a workshop where you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting predictions from it.

Discover how to enhance large language models (LLMs) using Retrieval-Augmented Generation (RAG) with Hugging Face. Learn how to incorporate external data into LLMs for more accurate and contextually relevant outputs.

Azure AI Language gives you the power of Natural Language Processing (NLP) to automatically understand and analyze text. You can use that power to enhance your search solutions.

Explore bagging, boosting, stacking, and more in this introduction to ensemble methods in machine learning.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Navigate the complexities of ethically using LLMs in data projects. This course will teach you to identify biases, implement responsible practices, and engage stakeholders effectively.

Learn how to digitally reconstruct a single neuron to better study the biological mechanisms of brain function, behaviour and disease.

Discover essential control techniques for managing dynamic systems and improving performance.

This LLM for beginners course offers a working knowledge of the capabilities and types of LLM and practical experience of fine-tuning GPT2 on specific datasets.

Explore ethical considerations and frameworks for developing responsible AI systems that align with societal values.