About this Course
This course introduces the Google Cloud large information and machine studying services that help the data-to-AI lifecycle. It explores the processes, challenges, and advantages of constructing an enormous information pipeline and machine studying fashions with Vertex AI on Google Cloud.
- Making ready for Google Cloud Certification: Machine Studying Engineer Skilled Certificates
- Information Engineering, Huge Information, and Machine Studying on GCP Specialization
WHAT YOU WILL LEARN
Acknowledge the data-to-AI lifecycle on Google Cloud and the foremost large information and machine studying merchandise.
Analyze large information at scale with BigQuery.
Establish totally different choices to construct machine studying options on Google Cloud.
Describe a machine studying workflow and the important thing steps with Vertex AI.
SKILLS YOU WILL GAIN
- Tensorflow
- Bigquery
- Google Cloud Platform
- Cloud Computing
Syllabus – What you’ll be taught from this course
14 minutes to finish
Course Introduction
This part welcomes learners to the Huge Information and Machine Studying Fundamentals course, and offers an summary of the course construction and objectives.
2 hours to finish
Huge Information and Machine Studying on Google Cloud
This part explores the important thing parts of Google Cloud’s infrastructure. It’s right here that we introduce lots of the large information and machine studying services that help the data-to AI lifecycle on Google Cloud.
2 hours to finish
Information Engineering for Streaming Information
This part introduces Google Cloud’s answer to managing streaming information. It examines an end-to-end pipeline, together with information ingestion with Pub/Sub, information processing with Dataflow, and information visualization with Looker and Information Studio.
2 hours to finish
Huge Information with BigQuery
This part introduces learners to BigQuery, Google’s fully-managed, serverless information warehouse. It additionally explores BigQuery ML, and the processes and key instructions which are used to construct customized machine studying fashions.
1 hour to finish
Machine Studying Choices on Google Cloud
This part explores 4 totally different choices to construct machine studying fashions on Google Cloud. It additionally introduces Vertex AI, Google’s unified platform for constructing and managing the lifecycle of ML initiatives.
2 hours to finish
The Machine Studying Workflow with Vertex AI
This part focuses on the three key phases–information preparation, mannequin coaching, and mannequin preparation–of the machine studying workflow in Vertex AI. Learners get the chance to follow constructing a machine studying mannequin with AutoML.
4 minutes to finish
Course Abstract
This part critiques the matters coated within the course, and offers further sources for additional studying.
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