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Deploy deep learning workloads to production with Azure Machine Learning
Deploying large-scale models for real-time inferencing is challenging because of the ...
Go beyond Keras: Customize with TensorFlow
If you've completed the first module and realized that you need extra flexibility to ...
Introduction to Natural Language Processing with PyTorch
This module explores different neural network architectures for dealing with natural ...
Fine-tune a foundation model with Azure Machine Learning
Train a pretrained Large Language Model (LLM) on specific tasks. The model catalog in ...
Understand the Transformer architecture and explore large language models in Azure Machine Learning
Learn about the history of natural language processing (NLP), including how the ...
Tune hyperparameters in Azure Databricks
Tuning hyperparameters is an essential part of machine learning. In Azure Databricks, you ...
Implement a machine learning solution with Azure Databricks
Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data ...
Introduction to DevOps principles for machine learning
Get familiar with DevOps principles and tools relevant for MLOps workloads.
Introduction to Computer Vision with PyTorch
We'll learn about different computer vision tasks and focus on image classification, ...
Implement Generative AI engineering with Azure Databricks
Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the ...
Introduction to Azure Machine Learning
Azure Machine Learning provides an environment to create and manage the end-to-end life ...