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Aprenda Vertex AI: Implemente IA Corporativa na Nuvem Google
Paperback
Series: Frameworks Ia & Machine Learning Brasil
Publisher: Independently Published
Published: Jun 26 2025
Pages: 254
Weight: 0.76
Height: 0.53 Width: 6.00 Depth: 9.00
Language: Portuguese
APRENDA VERTEX AI Implemente IA Corporativa na Nuvem Google
Este livro é direcionado a profissionais de tecnologia, engenheiros de dados e estudantes que desejam dominar o uso do Vertex AI na criação, automação e governança de projetos de inteligência artificial em ambientes corporativos Google Cloud.
Aprenda a estruturar pipelines de machine learning, integrar dados, automatizar processos de deploy e versionamento, monitorar performance e implementar práticas de MLOps e DataOps com segurança, escalabilidade e compliance. Aborde integrações práticas com BigQuery, Dataflow, Pub/Sub, Cloud Storage, além de frameworks lÃderes como TensorFlow, PyTorch e scikit-learn. Desenvolva competências em deploy multi-cloud, tuning de modelos, controle de custos, automação CI/CD e governança total do ciclo de vida dos dados e modelos.
Inclui:
- Configuração profissional do Vertex AI na Google Cloud
- Construção de pipelines automáticos e escaláveis de machine learning
- Integração avançada com BigQuery, Dataflow, Pub/Sub e Cloud Storage
- Deploy, versionamento e monitoramento de modelos em produção
- Orquestração com TensorFlow, PyTorch, scikit-learn, AutoML e containers
- Automação CI/CD, tuning de performance, controle de custos
- Implementação de Feature Store, Model Registry e polÃticas de acesso
- Governança, auditoria, compliance e segurança de dados em IA
- Estratégias de MLOps, DataOps e integração multi-cloud
- Aplicações reais, preparação para certificações e projetos crÃticos
Domine Vertex AI e torne-se referência em IA corporativa, entregando projetos escaláveis, auditáveis e alinhados com as demandas do mercado global.
vertex ai, google cloud, machine learning, pipelines, nvidia, automação, bigquery, dataflow, pub/sub, cloud storage, ci/cd, mlops, automl, tensorflow, pytorch, feature store, model registry, dataops, deploy de modelos, orquestração, monitoramento, governança, segurança de dados
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Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
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Prompt Engineering for Llms: The Art and Science of Building Large Language Model-Based Applications
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Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
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