Join the Cloud Data Engineer Professional Certificate en Español to advance your career in data engineering. This program equips you with the essential skills to excel in data engineering roles and prepares you for the Google Cloud Professional Data Engineer certification, highly valued in the industry. Through a combination of presentations, demonstrations, and hands-on labs, you will learn how to make data-driven decisions by collecting, transforming, and deploying data. Practical projects on Qwiklabs provide real-world experience that you can showcase to potential employers.
Additionally, you will practice key job skills such as designing, building, and running data processing systems and implementing machine learning models. For those aiming for certification, the program offers sample exam questions, solutions, and practice quizzes to simulate the exam experience. Completion of the program awards you a certificate that can be shared with your professional network and potential employers. To obtain your Google Cloud certification, registration for and passing of the certification exam is required. Please note that while the program equips you with the skills to take the certification exam, the certification and its fee are not included in the program cost.
With a focus on Google Cloud Platform services and infrastructure, you will acquire the knowledge and hands-on experience to succeed in a data engineering role and pursue certification as a Professional Data Engineer.
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Master data engineering and machine learning fundamentals with modules covering Google Cloud Big Data, Data Lakes, Data Warehouses, Batch Data Pipelines, Resilient Streaming Analytics, AI, and Exam Preparation.
Explore Google Cloud Big Data and Machine Learning Fundamentals en Español to understand key steps and workflows for machine learning with Vertex AI. Create a machine learning pipeline using AutoML.
Modernize Data Lakes and Data Warehouses with GCP en Español. Understand the differences between data lakes and data warehouses, and explore their uses and technical aspects on Google Cloud. Gain insight into the role of a data engineer and the benefits of successful data pipelines for business operations.
Learn the intricacies of building Batch Data Pipelines on GCP en Español. Review different data loading methods and use Hadoop in Dataproc, Dataflow, Data Fusion, and Cloud Composer to manage data pipelines effectively.
Build Resilient Streaming Analytics Systems on GCP en Español to understand real-time streaming analysis use cases. Utilize Pub/Sub for asynchronous messaging, write streaming pipelines, and integrate Dataflow, BigQuery, and Pub/Sub for real-time streaming and analysis.
Study Smart Analytics, Machine Learning, and AI on GCP en Español to comprehend real-time streaming analytics use cases and the aspects of a streaming pipeline. Learn to interoperate Dataflow, BigQuery, and Pub/Sub for real-time streaming and analysis.
Prepare for the Google Cloud Professional Data Engineer Exam en Español by reviewing each exam section and practicing case study analysis and solution proposal methods. Gain valuable insights and tips for exam preparation to become a proficient Data Engineer.
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