
Learn to automate data extraction from ID documents using Azure Form Recognizer, exploring prebuilt models, REST APIs, SDKs, and AI Builder for efficient key-value pair extraction from passports and driver's licenses.

Explore Fairlearn, an open-source toolkit for assessing and mitigating fairness issues in AI systems, focusing on potential negative impacts on different demographic groups.

Learn to automate custom vision model creation using AutoML for Images in Azure ML. Explore real-world applications in quality control, retail, and fire detection with expert guidance.

Explore Azure Machine Learning Designer, VS Code ML extension, and PyTorch basics with experts. Demystify ML and NLP concepts while learning about Cognitive Services and AI Playground development.

Explore Azure Cognitive Services for creating accessible experiences, featuring demos on Computer Vision, Custom Vision, Face recognition, handwriting analysis, and text-to-speech, with a focus on AI-powered accessibility solutions.

Explore Azure Machine Learning Batch Endpoints with Tracy Chen. Learn about batch inference, deployment, invocation, and setting up CI/CD pipelines for efficient large-scale data processing.

Explore Azure Machine Learning's integration with Azure Arc, enabling data scientists to run ML on existing Kubernetes infrastructure on-premises or in multicloud environments.

Comprehensive recap of Microsoft Build 2022, covering Azure ML updates, managed online endpoints, responsible AI, and Power Virtual Agents. Features demos and expert insights on latest AI technologies and tools.

Aprende a realizar fine-tuning de modelos de lenguaje como Llama2 para clasificación de texto utilizando el SDK de Python de Azure ML Studio.

Aprende a realizar fine-tuning de modelos BERT para clasificación de texto utilizando Azure Machine Learning, mejorando tus habilidades en IA generativa.

Explora las principales funcionalidades de Azure OpenAI Studio para potenciar tus proyectos de machine learning y ciencia de datos.

Crea un punto de inferencia en línea para modelos QA utilizando Azure Machine Learning Studio y el SDK de Python. Explora el catálogo de modelos base.

Crea pipelines de Machine Learning en Azure utilizando Python SDK. Aprende a implementar flujos de trabajo eficientes para proyectos de ciencia de datos.

Desarrolla aplicaciones de Machine Learning en Azure utilizando Python SDK v2. Aprende a entrenar modelos y crear soluciones de ciencia de datos eficientes.

Explora Azure Machine Learning Studio, el servicio en la nube de Microsoft para proyectos de aprendizaje automático. Descubre cómo respalda el ciclo de vida completo del desarrollo de modelos.

Implementa inferencia de ViViT en Azure ML usando ONNX y AKS para optimizar el rendimiento de modelos de visión por computadora.

Aprende a realizar inferencia en Azure Kubernetes Services utilizando un modelo Vision Transformer convertido a ONNX con Azure Machine Learning Studio y Python SDK v2.

Aprende a realizar inferencia en Azure Kubernetes Services utilizando un modelo ONNX y onnxruntime, creando un Managed Endpoint con Python SDK v2.

Uncover critical vulnerabilities in Azure Machine Learning, including credential leaks, information disclosure, and persistence techniques. Learn assessment methods for cloud-based MLaaS platforms and shared responsibility models.

Explore Azure ML Service's features for scaling, automating, and deploying machine learning pipelines. Learn how it enhances the data science process and addresses key challenges.

Enhance collaboration across IT, data science, and development teams with Azure Machine Learning's latest features for seamless ML lifecycle management and improved organizational efficiency.