Google Cloud Big Data & Machine Learning Fundamentals Training

Live Online & Classroom Enterprise Certification Training

Gain foundational knowledge of Big Data and Machine Learning on Google Cloud. Learn how to use key tools such as BigQuery, Dataflow, and Vertex AI to manage, analyze, and derive insights from data.

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What is Google Cloud Big Data & Machine Learning Fundamentals Certification Training about?

The Google Cloud Big Data & Machine Learning Fundamentals course provides an introduction to the data processing and machine learning capabilities of Google Cloud. Learners will explore how to use Google Cloud’s managed big data services to store, process, and analyze data at scale, and how to apply machine learning models to derive actionable insights. Through practical examples and demos, participants will understand the data-to-AI lifecycle using tools like BigQuery, Dataproc, Dataflow, and Vertex AI.

What are the objectives of Google Cloud Big Data & Machine Learning Fundamentals Certification Training ?

Understand the key concepts of Big Data and Machine Learning on Google Cloud.
Learn how to use BigQuery for scalable data analysis.
Explore data processing with Dataflow and Dataproc.
Gain insights into creating and deploying ML models using Vertex AI.
Understand how Google Cloud enables end-to-end data pipelines and AI workflows.

Who is Google Cloud Big Data & Machine Learning Fundamentals Certification Training for?

Data Analysts and Data Scientists new to Google Cloud.
Machine Learning Engineers exploring GCP-based AI solutions.
Cloud Architects and Data Engineers building data pipelines.
Business Analysts seeking data-driven decision-making skills.
Students and professionals preparing for Google Cloud certifications.

What are the prerequisites for Google Cloud Big Data & Machine Learning Fundamentals Certification Training?

Prerequisites:

Basic understanding of data analysis and databases.
Familiarity with cloud computing concepts.
Some experience with SQL and data querying.
Foundational knowledge of Python or another scripting language (recommended).
Curiosity about data-driven and AI-based problem-solving.

Learning Path:

Introduction to Google Cloud and Big Data Ecosystem
Exploring Data Storage and Processing Options (BigQuery, Dataflow, Dataproc)
Introduction to Machine Learning Concepts and Vertex AI
Building and Deploying Scalable Data Pipelines
Integrating Big Data and ML Workflows for Real-World Use Cases

Related Courses:

BigQuery for Data Analysts
Data Engineering on Google Cloud
Machine Learning on Google Cloud
Advanced Big Data Analytics with Google Cloud

Available Training Modes

Live Online Training

1 Days

Self-Paced Training

5 Hours

Course Outline Expand All

Expand All

Module 1: Big Data and Machine Learning on Google Cloud

Introduction Big data and machine learning

The history of big data and ML products

Big data and ML product categories

Module 2: Data Engineering for Streaming Data

Introduction

Message-oriented architecture

Designing streaming pipelines with Apache Beam

Implementing streaming pipelines on Cloud Dataflow

Visualization with Looker

Module 3: Big Data with BigQuery

Big Data with BigQuery

Storage and analytics

Introduction to BigQuery ML

Using BigQuery ML to predict customer lifetime value

BigQuery ML project phases

BigQuery ML key commands

Module 4: Machine Learning Options on Google Cloud

Introduction

Options to build ML models

Pre-built APIs

AutoML

Custom training

Vertex AI

AI Solutions

Module 5: The Machine Learning Workflow with Vertex AI

Introduction

Data preparation

Model training

Model evaluation

Model deployment and monitoring

Who is the instructor for this training?

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

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