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Explore recursos de IA e ML no Google Cloud para projetos generativos e preditivos. Aprenda fundamentos, desenvolvimento e soluções com exercÃcios práticos para aprimorar habilidades em ciência de dados e engenharia de ML.
Explore um framework abrangente para identificar e mitigar riscos de IA, proteger dados sensÃveis e garantir compliance, com análise de casos reais em diferentes setores.
Explore and deploy secure Google Cloud components, including Cloud Identity, IAM, VPC firewalls, load balancing, and interconnect options through lectures, demos, and hands-on labs.
Explore NLP on Google Cloud: from APIs to advanced models. Learn AutoML, custom training, and end-to-end workflows using Vertex AI and TensorFlow. Covers text representation, neural networks, and state-of-the-art techniques.
Dive into building high-performing ML systems in production, covering key components, best practices, and design considerations for optimal performance and adaptability.
Learn to create, secure, and manage advanced APIs using Apigee. Covers mediation, traffic management, publishing, analytics, and deployment strategies for building robust API solutions.
Comprehensive guide to prepare for the Professional Cloud Architect certification, covering key domains, exam readiness assessment, and personalized study planning.
Learn to compose, organize, and manage emails efficiently with Gmail's powerful features, including labels, contacts, settings customization, and advanced search and filtering capabilities.
Learn to build scalable Java microservices using Spring Boot and Spring Cloud on Google Cloud. Covers configuration management, messaging, databases, and observability for cloud-native applications.
Supercharge your spreadsheets with advanced functions, data analysis, and visualization techniques to create meaningful insights and collaborate effectively with your team.
Comprehensive training for new Cloud Identity admins covering user management, security, device control, and reporting. Hands-on exercises build practical skills for implementing access and security best practices.
Structured preparation guide for the Associate Cloud Engineer exam, covering key Google Cloud domains and offering strategies to enhance domain knowledge for certification success.
Design highly reliable, secure, and cost-effective Google Cloud solutions using proven patterns. Learn to balance requirements, define services, implement microservices, automate DevOps, and choose optimal storage and network architectures.
Learn to scale and automate Google Cloud infrastructure with hands-on labs covering networking, load balancing, autoscaling, and managed services for efficient cloud solutions.
Explore Google Cloud's infrastructure services, focusing on Compute Engine. Learn to deploy and manage resources, implement security, handle billing, and monitor operations effectively.
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