Machine Learning on Google Cloud Training

Live Online & Classroom Enterprise Certification Training

The Machine Learning on Google Cloud course focuses on building, training, and deploying machine learning models using Google Cloud tools such as Vertex AI, BigQuery ML, and TensorFlow, covering the end-to-end ML workflow from data preparation to model monitoring.

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What is Machine Learning on Google Cloud Certification Training about?

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project. You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques and feature engineering.

What are the objectives of Machine Learning on Google Cloud Certification Training ?

Describe the technologies, products, and tools to build an ML model, an ML pipeline, and a Generative AI project.
Understand when to use AutoML and BigQuery ML.
Create Vertex AI-managed datasets.
Add features to the Vertex AI Feature Store.
Describe Analytics Hub, Dataplex, and Data Catalog.
Describe how to improve model performance.
Create Vertex AI Workbench user-managed notebook, build a custom training job, and deploy it by using a Docker container.
Describe batch and online predictions and model monitoring.
Describe how to improve data quality and explore your data.
Build and train supervised learning models.
Optimize and evaluate models by using loss functions and performance metrics.
Create repeatable and scalable train, eval, and test datasets.
Implement ML models by using TensorFlow or Keras.
Understand the benefits of using feature engineering.
Explain Vertex AI Model Monitoring and Vertex AI Pipelines.

Who is Machine Learning on Google Cloud Certification Training for?

Aspiring machine learning data analysts, data scientists, and data engineers
Learners who want exposure to ML and use Vertex AI, AutoML, BigQuery ML, Vertex AI Feature Store, Vertex AI Workbench, Dataflow, Vertex AI Vizier for hyperparameter tuning, and TensorFlow/Keras

What are the prerequisites for Machine Learning on Google Cloud Certification Training?

To get the most out of this course, participants should have:

Some familiarity with basic machine learning concepts
Basic proficiency with a scripting language, preferably Python

Available Training Modes

Live Online Training

Classroom Training

5 Days

Course Outline Expand All

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Course 1: Introduction to AI and Machine Learning on Google Cloud

Course 2: Launching into Machine Learning

Course 3: TensorFlow on Google Cloud

Course 4: Feature Engineering

Course 5: Machine Learning in the Enterprise

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Who is the instructor for this training?

The trainer for this Machine Learning on Google Cloud Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Machine Learning on Google Cloud Certification Training - Certification & Exam

SpringPeople is the Authorized Training Partner of Google Cloud Platform.
The training fees is exclusive of exam cost.
For any queries; feel free to reach us at GCP@springpeople.com

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