This book is aimed at technology professionals, data engineers, and students who want to master the use of Vertex AI for creating, automating, and governing artificial intelligence projects in corporate Google Cloud environments.
Learn how to structure machine learning pipelines, integrate data, automate deployment and versioning processes, monitor performance, and implement MLOps and DataOps practices with security, scalability, and compliance. Explore practical integrations with BigQuery, Dataflow, Pub/Sub, Cloud Storage, as well as leading frameworks such as TensorFlow, PyTorch, and scikit-learn. Develop skills in multi-cloud deployment, model tuning, cost control, CI/CD automation, and complete governance of the data and model lifecycle.
• Professional setup of Vertex AI on Google Cloud
• Building automated and scalable machine learning pipelines
• Advanced integration with BigQuery, Dataflow, Pub/Sub, and Cloud Storage
• Deployment, versioning, and monitoring of production models
• Orchestration with TensorFlow, PyTorch, scikit-learn, AutoML, and containers
• CI/CD automation, performance tuning, cost control
• Implementation of Feature Store, Model Registry, and access policies
• Governance, auditing, compliance, and data security in AI
• MLOps, DataOps strategies, and multi-cloud integration
• Real-world applications, certification preparation, and critical projects
Master Vertex AI and become a reference in corporate AI, delivering scalable, auditable projects aligned with global market demands.
vertex ai, google cloud, machine learning, nvidia, pipelines, automation, bigquery, dataflow, pub/sub, cloud storage, ci/cd, mlops, automl, tensorflow, pytorch, feature store, model registry, dataops, model deployment, orchestration, monitoring, governance, data security
Diego Rodrigues
Technical Author and Independent Researcher
ORCID: https://orcid.org/0009-0006-
StudioD21 Smart Tech Content & Intell Systems
Email:studiod21portoalegre@
LinkedIn: linkedin.com/in/diegoexpertai
International technical author (tech writer) focused on the structured production of applied knowledge. He is the founder of StudioD21 Smart Tech Content & Intell Systems, where he leads the creation of intelligent frameworks and the publication of didactic technical books supported by artificial intelligence, such as the Kali Linux Extreme series, SMARTBOOKS D21, among others.
Holder of 42 international certifications issued by institutions such as IBM, Google, Microsoft, AWS, Cisco, META, Ec-Council, Palo Alto, and Boston University, he works in the fields of Artificial Intelligence, Machine Learning, Data Science, Big Data, Blockchain, Connectivity Technologies, Ethical Hacking, and Threat Intelligence.
Since 2003, he has developed more than 200 technical projects for brands in Brazil, the USA, and Mexico. In 2024, he established himself as one of the leading technical book authors of the new generation, with over 180 titles published in six languages. His work is based on his proprietary TECHWRITE 2.3 applied technical writing protocol, focused on scalability, conceptual precision, and practical applicability in professional environments.