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Google Cloud Certified Professional Data Engineer Training & Certification Course

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Multisoft Virtual Academy offers comprehensive online training for the Google Cloud Certified Professional Data Engineer Certification. This course provides a deep understanding of data processing systems, machine learning algorithms, and security protocols, enabling you to design, build, and maintain high-quality data solutions on Google Cloud. Experience hands-on learning with expert-led sessions and real-world projects.

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Instructor-led Training Live Online Classes

Suitable batches for you

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

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Instructor-led Training Live Online Classes

20 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun
03 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun
10 Aug 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 500

Enroll Now
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 500

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Google Cloud Certified Professional Data Engineer Training Course Syllabus

Curriculum Designed by Experts

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The Google Cloud Certified Professional Data Engineer certification is aimed at data professionals who aim to demonstrate their ability to leverage Google Cloud technologies to process big data. These professionals design, build, operationalize, secure, and monitor data processing systems.

In an online training course for this certification, you can generally expect the following topics to be covered:

  • Google Cloud Platform Overview: Basic understanding of Google Cloud Platform, its services, and the purpose they serve.
  • Building and operationalizing data processing systems: This involves topics such as working with services like Pub/Sub, Dataflow, Bigtable, BigQuery, and understanding how to integrate them to build comprehensive data processing systems.
  • Operationalizing machine learning models: Understand the basics of AI Platform and how to use it for training and prediction.
  • Designing for reliability and security: Learn how to design secure, robust data processing systems with topics such as Identity and Access Management (IAM), Cloud Audit logs, etc.
  • Designing for scale and efficiency: Understanding how to design systems to handle increased load, and how to analyze and optimize performance.
  • Hands-on labs and case studies: Most good training courses will have a hands-on component where you can get practical experience working with Google Cloud services.

The Google Cloud Certified Professional Data Engineer Certification Online Training prepares individuals to harness the full potential of Google Cloud technologies for data-driven decision making. The course covers data processing, machine learning, data modeling, and ensures mastery of skills to design, build, and maintain data processing systems. Trainees also learn about operational efficiency and compliant use of data.

  •  About This Course
  •  Course Audience and Prerequisites
  •  A Note About Demo Lessons
     
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  •  Data Processing Concepts
  •  Data Processing Pipelines
     
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  •  Introduction to Data Storage in GCP
  •  Working with Data
  •  Cloud Storage
  •  Service Accounts
  •  Data Transfer Services
  •  Cloud SQL
  •  Demo: Creating a Cloud SQL Instance and Loading Data
  •  Managing Google Cloud SQL Instances
  •  Hands-On Lab
  •  Working with Data in Google Cloud SQL
  •  Hands-On Lab
  •  Cloud Firestore
  •  Exploring Cloud Firestore in Datastore Mode
  •  Hands-On Lab
  •  Cloud Run Data in GCS and Firestore
  •  Hands-On Lab
  •  Cloud Spanner
  •  Demo: Working with Cloud Spanner
  •  Setting Up for Google Cloud Spanner
  •  Hands-On Lab
  •  Cloud Memorystore
  •  Demo: Working with Cloud Memorystore
  •  Comparing Storage Options
  •  Exam Tips
     
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  •  MapReduce
  •  Hadoop & HDFS
  •  Apache Pig
  •  Apache Spark
  •  Apache Kafka
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  •  Pub/Sub Concepts
  •  Pub/Sub Basics
  •  Demo: Working with Cloud Pub/Sub
  •  Demo: Cloud Pub/Sub Client Libraries
  •  Advanced Pub/Sub
  •  Demo: Loosely Coupled Services with Cloud Pub/Sub
  •  Demo: Stream Data through Cloud Pub/Sub to BigQuery
  •  Exam Tips
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  •  Dataflow Introduction
  •  Pipeline Lifecycle
  •  Dataflow Pipeline Concepts
  •  Advanced Dataflow Concepts
  •  Dataflow Security and Access
  •  Using Dataflow
  •  Exam Tips
  •  Demo: Working with Cloud Dataflow
  •  Demo: Streaming Pipelines with Cloud Dataflow
  •  Create Streaming Data Pipeline on GCP with Cloud Pub/Sub, Dataflow, and BigQuery
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  •  Dataproc Overview
  •  Dataproc Basics
  •  Demo: Working with Cloud Dataproc
  •  Advanced Dataproc
  •  Demo: Cloud Dataproc with the GCS Connector
  •  Exam Tips
     
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  •  Bigtable Concepts
  •  Bigtable Architecture
  •  Bigtable Data Model
  •  Demo: Working with Cloud Bigtable
  •  Bigtable Schema Design
  •  Bigtable Advanced Concepts
  •  Demo: Loading and Querying Data with Cloud Bigtable
  •  Exam Tips
     
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  •  BigQuery Basics
  •  Using BigQuery
  •  Partitioning and Clustering
  •  Best Practices
  •  Securing BigQuery
  •  BigQuery Monitoring and Logging
  •  Machine Learning with BigQuery ML
  •  Exam Tips
  •  Demo: Working with BigQuery
  •  Demo: Advanced BigQuery Features
     
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  •  Datalab Concepts
  •  Demo: Working with Cloud Datalab
  •  Demo: Jupyter Notebooks in GCP
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  •  Reporting and Business Intelligence
  •  Data Distributions
  •  Introduction to Data Studio
  •  Charts and Filters
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  •  Cloud Composer Overview
  •  Cloud Composer Architecture
  •  Demo: Working with Cloud Composer
  •  Advanced Cloud Composer
     
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  •  Machine Learning Introduction
  •  Machine Learning Basics
  •  Machine Learning Types and Models
  •  Overfitting
  •  Hyperparameters
  •  Feature Engineering
     
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  •  Deep Learning with TensorFlow
  •  Introduction to Artificial Neural Networks
  •  Neural Network Architectures
  •  Building a Neural Network
     
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  •  Cloud AI Cloud APIs
  •  Vision
  •  Video Intelligence
  •  Language
  •  Conversation
  •  Demo: Working with Cloud ML APIs
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  •  Introduction to AutoML
  •  Sight with AutoML
  •  Language with AutoML
  •  Structured Data with AutoML
     
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  •  Introduction to Operationalizing ML Models
  •  Kubeflow
  •  AI Platform
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  •  Security and Regulation Overview
  •  IAM Best Practices
  •  Data Security
  •  Data Privacy
  •  Industry Regulation
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  •  Dataprep Overview
  •  Demo: Working with Cloud Dataprep
     
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  •  Reference Architectures: Big Data
  •  Reference Architectures: Artificial Intelligence and Machine Learning
  •  Reference Architectures: Internet of Things
  •  Reference Architectures: Mobile & Gaming
  •  External Resources and Tutorials
  •  Exam Guide Breakdown
  •  What to Expect From the Exam
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Google Cloud Certified Professional Data Engineer Training Description

The objective of a Google Cloud Certified Professional Data Engineer certification online training course would typically be to provide learners with the knowledge, skills, and experience needed to effectively use Google Cloud technologies in designing, building, and managing robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

Key course objectives might include:

  • Understanding Google Cloud Platform (GCP): The course will aim to help participants fully understand GCP, its offerings, and its interface.
  • Fundamentals of Google Cloud Data Engineering: The course should cover all essential aspects of data engineering in the Google Cloud environment, such as designing, building, and operationalizing data processing systems.
  • Data Storage and Processing: Participants should learn how to work with and manage data storage and database services on GCP, including Bigtable, Firestore, Cloud SQL, Cloud Spanner, and BigQuery. They should also understand various data processing tools like Dataflow and Dataproc.
  • Machine Learning and Advanced Analytics: Learn how to use GCP tools for machine learning and data analytics, such as Cloud ML Engine, Data Studio, and AI Platform.
  • Security and Compliance: Understand the best practices for security and compliance in GCP, and how to ensure data privacy&

  • Data professionals
  • Individuals preparing for the Google Professional Data Engineer exam

To enroll in Google Cloud Certified Professional Data Engineer Certification Online Training, candidates must have:

  • Basic understanding of cloud computing: Familiarity with the core concepts of cloud technology, like computing power, storage, and networking in a cloud environment.
  • Experience with Google Cloud Platform (GCP): Candidates should have practical experience working with GCP. Knowledge of services like Google Compute Engine, Google Cloud Storage, and BigQuery is desirable.
  • Data handling skills: Understanding of databases, both SQL and NoSQL, and the ability to manipulate, analyze, and interpret complex data is necessary.
  • Programming Knowledge: Comfort with at least one programming language, preferably Python, is required to use Google Cloud's Data Engineering tools effectively.
  • Familiarity with machine learning concepts: Basic knowledge of machine learning and its applications can be beneficial in the data engineering context.
  • Working knowledge of Linux/Unix systems: Many cloud computing operations are carried out on Linux platforms, hence a basic understanding is helpful.

Google Cloud Certified Professional Data Engineer Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

Google Cloud Certified Professional Data Engineer Corporate Training Certification

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  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
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Globally Recognized Certificate

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  • Globally Recognized and Accepted
  • Lifetime Validity

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Google Cloud Certified Professional Data Engineer Training FAQ's

Google data engineer certification exam comes with a set of difficult questions. So, it is not an easy certification to earn. If you want to earn this, you are suggested to go for Google Data Engineer – Professional Certification Training which is specially designed to help the certification aspirants.

You will get top priority in gaining the access to a job platform where you can easily apply to opportunities from Google with open jobs after you have earned Google certification, but there is no assurance that you will get hired by Google.

No, Google professional certifications are not provided for free. To get it, you will have to pay an amount to Google.

Obviously, yes! Google Cloud Platform is now holding the third position in the Cloud market after AWS and Azure. So, Google Cloud data engineer certification will add professional value to your career. However, it will depend on your career requirements whether he/she wants to get AWS, Azure, or Google Cloud Platform.

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