Dataproc Courses and Certifications

Introduction to Data Engineering on Google Cloud

Explore data engineering on Google Cloud, covering roles, challenges, and solutions. Learn about data pipelines, replication, migration, and automation techniques using various Google Cloud services.

• Coursera
• 9 hours 24 minutes
• Self-Paced
• Paid Course

Whizlabs Career Certificate

Exam Prep: Google Cloud Certified Associate Cloud Engineer

Master Google Cloud fundamentals through hands-on practice with compute, storage, networking, security, and cost management to ace the Associate Cloud Engineer certification exam.

• Coursera
• 8 weeks, 2 hours/week
• Self-Paced
• Paid Course
• 3 courses

Whizlabs

GCP: Database and Storage

Master GCP's database and storage services including Cloud SQL, BigQuery, Firestore, and Cloud Storage with hands-on experience in data analytics, migration, and pipeline architecture.

• Coursera
• 8 hours 39 minutes
• Self-Paced
• Paid Course

GCP - Google Cloud Associate Data Practitioner Certification

288 ratings at Udemy

Prepare for Google Cloud Data Practitioner | BigQuery, Dataproc, Dataform, Cloud Composer, Looker Studio, Dataflow

• Udemy
• 10 hours 26 minutes
• Self-Paced
• Paid Course

Spark 3 on Google Cloud Platform-Beginner to Advanced Level

189 ratings at Udemy

Build Scalable Batch and Real Time Data Processing Pipelines with PySpark and Dataproc

• Udemy
• 5 hours 36 minutes
• Self-Paced
• Paid Course

Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

Explore big data, machine learning, and AI on Google Cloud. Learn to leverage managed services, build ML models, and use pre-built APIs for data analysis and intelligent applications.

• Google Skills
• 8 hours 30 minutes
• Self-Paced
• Paid Course

Building Batch Data Pipelines on Google Cloud

Learn to build efficient batch data pipelines on Google Cloud using BigQuery, Dataproc, Data Fusion, and Dataflow. Gain hands-on experience with EL, ELT, and ETL paradigms for data transformation and processing.

• Google Skills
• 9 hours 15 minutes
• Self-Paced
• Paid Course

Elastic Google Cloud Infrastructure: Scaling and Automation

Explore Google Cloud's infrastructure services through hands-on labs, covering network interconnection, load balancing, autoscaling, automation, and managed services for efficient and scalable cloud solutions.

• Google Skills
• 7 hours
• Self-Paced
• Paid Course

Data Lake Modernization on Google Cloud: Migrate Workflows

Welcome to Migrate Workflows, where we discuss how to migrate Spark and Hadoop tasks and workflows to Google Cloud.

• Google Skills
• 7 hours 15 minutes
• Self-Paced
• Paid Course

Cloud Composer: Qwik Start - Console

In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.

• Google Skills
• 1 hour
• Self-Paced
• Paid Course

Building Realtime Pipelines in Cloud Data Fusion

Learn to build and manage real-time data processing pipelines using Cloud Data Fusion, leveraging Apache Spark Streaming on Cloud Dataproc for efficient event handling and analysis.

• Google Skills
• 1-2 hours
• Self-Paced
• Paid Course

Cloud Composer: Qwik Start - Command Line

Create and manage Apache Airflow workflows using Cloud Composer. Learn to set up environments, run Hadoop jobs on Dataproc, and interact with the Airflow web interface.

• Google Skills
• 1 hour
• Self-Paced
• Paid Course

Perform Foundational Data, ML, and AI Tasks in Google Cloud: Challenge Lab

This challenge lab tests your skills and knowledge from the labs in the Baseline Data, ML and AI, quest. You should be familiar with the content of the labs before attempting this lab.

• Google Skills
• 1-2 hours
• Self-Paced
• Paid Course

Baseline: Data, ML, AI

Explore Google Cloud's user-friendly services for big data, machine learning, and AI through hands-on labs covering BigQuery, Cloud Speech API, and AI Platform.

• Google Skills
• 3 hours 15 minutes
• Self-Paced
• Paid Course

Exploring APIs

Hands-on practice with Google Cloud APIs using APIs Explorer. Learn to interact programmatically with various GCP services, from Cloud Storage to Compute Engine and beyond.

• Google Skills
• 5 hours 30 minutes
• Self-Paced
• Paid Course