Apache Beam Courses and Certifications

Apache Beam | A Hands-On course to build Big data Pipelines

1737 ratings at Udemy

Build Big data pipelines with Apache Beam in any language and run it via Spark, Flink, GCP (Google Cloud Dataflow).

• Udemy
• 5 hours 24 minutes
• On-Demand
• Paid Course

Apache Beam | Google Data Flow (Python)

562 ratings at Udemy

Complete Hands on Apache Beam | Batch & Streaming pipelines | Beam SQL & Google Cloud Dataflow.

• Udemy
• 3-4 hours
• On-Demand
• Paid Course

Modeling Streaming Data for Processing with Apache Beam

The Apache Beam unified model allows us to process batch as well as streaming data using the same API. Several execution backends such as Google Cloud Dataflow, Apache Spark, and Apache Flink are compatible with Beam.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Exploring the Apache Beam SDK for Modeling Streaming Data for Processing

Apache Beam is an open-source unified model for processing batch and streaming data in a parallel manner. Built to support Google’s Cloud Dataflow backend, Beam pipelines can now be executed on any supported distributed processing backends.

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

GCP: Complete Google Data Engineer and Cloud Architect Guide

7341 ratings at Udemy

Master Google Cloud Platform with this comprehensive 28-hour course. Learn to deploy Managed Hadoop apps, build deep learning models with TensorFlow, and make informed decisions about Containers, VMs, and AppEngine.

• Udemy
• 1 day 3 hours 52 minutes
• On-Demand
• Paid Course

Google Cloud;  Google

Feature Engineering

1752 ratings at Coursera

Explore Vertex AI Feature Store, improve ML model accuracy, and master feature engineering with Google Cloud's 3-week course using BigQuery ML, Keras, and TensorFlow.

• Coursera
• 8 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

Google Cloud;  Google

Serverless Data Processing with Dataflow: Develop Pipelines

38 ratings at Coursera

Dive deep into serverless data processing with Google Cloud's 3-week course. Learn Apache Beam concepts, streaming data processing, pipeline performance optimization, and more.

• Coursera
• 18 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Serverless Data Processing with Dataflow: Develop Pipelines

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK.

• edX
• 3 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Serverless Data Processing with Dataflow: Foundations

Explore serverless data processing with Google Cloud's 1-week course. Learn Apache Beam, Dataflow, compute-storage separation, and implement the right security model.

• edX
• 1 week, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Using Beam ML to catch Toxicity in Gaming

This is a self-paced lab that takes place in the Google Cloud console.” In this lab, we will use Apache Beam ML RunInference transform to show how with just a few lines of code you can enable a real-time pipeline that will scale with your needs!

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Serverless Data Processing with Dataflow: Foundations - 日本語版

このコースは、Dataflow を使用したサーバーレスのデータ処理に関する 3 コースシリーズのパート 1 です。この最初のコースでは、始めに Apache Beam とは何か、そして Dataflow とどのように関係しているかを復習します。次に、Apache Beam のビジョンと Beam Portability フレームワークの利点について説明します。Beam Portability フレームワークによって、デベロッパーが好みのプログラミング言語と実行バックエンドを使用できるビジョンが実現します…

• Coursera
• 2 hours 28 minutes
• On-Demand
• Free Online Course (Audit)

Data Science on Google Cloud: Machine Learning

1 review

This is the second of two Quests of hands-on labs derived from the exercises from the book Data Science on Google Cloud Platform by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this second Quest, covering chapter 9 through the end of the bo…

• Qwiklabs
• 6 hours
• On-Demand
• Free Certificate

Data Science on Google Cloud Platform: Building Data Pipelines

Learn to design and build big data pipelines on Google Cloud Platform, covering Apache Beam, Dataflow, and Cloud Pub/Sub. Requires 1-2 hours of study.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Architecting Serverless Big Data Solutions Using Google Dataflow

17 ratings at Pluralsight

Dataflow represents a fundamentally different approach to Big Data processing than computing engines such as Spark. Dataflow is serverless and fully-managed, meaning that provisioning resources and scaling can be transparent to the data architect.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Serverless Data Processing with Dataflow: Develop Pipelines

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks an…

• Pluralsight
• 1 hour 59 minutes
• On-Demand
• Free Trial Available