Enroll Course: https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-jp
In today’s data-driven world, understanding the fundamentals of big data and machine learning is crucial for professionals looking to leverage artificial intelligence effectively. The Google Cloud Big Data and Machine Learning Fundamentals course, presented in Japanese, offers an excellent starting point for learners interested in exploring the capabilities of Google Cloud’s powerful tools. This course delves deep into the lifecycle from data to AI, showcasing a variety of products and services designed to facilitate big data and machine learning workflows.
### Course Overview
The course is structured into several modules, each targeting critical components of big data and machine learning within the Google Cloud ecosystem. From the onset, learners are introduced to the course objectives and the significance of understanding big data in the context of AI.
### Core Modules
– **Google Cloud’s Infrastructure**: The course begins by explaining the key components of Google Cloud infrastructure, providing insight into how its services support the data-to-AI lifecycle.
– **Data Engineering with Streaming Data**: You will explore Google Cloud solutions for managing streaming data. Here, you learn the intricacies of end-to-end pipelines — using Pub/Sub for data ingestion, Dataflow for data processing, and visualization tools like Looker and Data Portal.
– **BigQuery for Big Data**: As a full-managed, serverless data warehouse, BigQuery is one of Google’s standout offerings. The course provides hands-on experience with BigQuery ML and walks through the process of building custom machine learning models.
– **Machine Learning Options in Google Cloud**: An essential section that discusses the four options available for building machine learning models while also highlighting Vertex AI — Google’s integrated platform to manage the ML project lifecycle.
– **Machine Learning Workflow with Vertex AI**: This section breaks down the three primary phases of the machine learning workflow using Vertex AI: data preparation, model training, and deployment. Learners have the chance to utilize AutoML for real-world model building.
### Summary
The concluding module revisits the topics covered, reinforcing learning and providing additional resources for continued exploration in the world of big data and machine learning. This structure creates a solid foundation for beginners while also catering to more experienced professionals looking to refine their skills.
### Final Thoughts
I highly recommend this course for anyone eager to understand the intersection of big data and machine learning on Google Cloud. It is well-organized, comprehensive, and provides hands-on experience with some of the most powerful tools available. With the knowledge gained from this course, you will be well-equipped to harness the potential of big data and machine learning in your future projects.
Enroll Course: https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-jp