Enroll Course: https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-jp
The ‘Google Cloud Big Data and Machine Learning Fundamentals 日本語版’ course on Coursera offers an in-depth introduction to the powerful tools and services provided by Google Cloud for managing big data and building machine learning models. This course is ideal for data professionals, developers, and AI enthusiasts who want to leverage Google Cloud’s infrastructure for advanced analytics and AI development.
Throughout the course, learners explore the entire AI lifecycle supported by Google Cloud products, from data ingestion to model deployment. It covers key components such as Google Cloud’s data engineering solutions, including Pub/Sub, Dataflow, and Looker, along with an extensive overview of BigQuery, Google’s serverless data warehouse. One of the highlights is the detailed introduction to Vertex AI, Google Cloud’s integrated platform for managing ML projects.
What makes this course particularly valuable is its hands-on approach. Learners get to understand how to construct end-to-end data pipelines, utilize BigQuery ML for machine learning, and use Vertex AI’s AutoML capabilities for building models efficiently. The structured syllabus ensures a comprehensive understanding, from data management to deploying and monitoring models.
I highly recommend this course for anyone looking to deepen their understanding of cloud-based big data and machine learning. Whether you are starting out or looking to expand your skills in Google Cloud’s ecosystem, this course provides practical knowledge, real-world use cases, and valuable insights into the future of AI development on Google Cloud platform.
Enroll Course: https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-jp