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Google Cloud Certified Professional Data Engineer Training

Course Information

  • Sessions 4 days
  • Duration 30 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Google Cloud Certified Professional Data Engineer Training

Course Code: C511
  • HRDF

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What's This Course About

Dive into the realm of data engineering with our Google Professional Data Engineer Certification Prep course. Tailored for professionals aspiring to excel in the field of data and analytics, this course offers an in-depth understanding of designing, building, and managing data processing systems on the Google Cloud Platform (GCP). You'll gain hands-on experience in working with big data technologies, learning how to design data processing systems, and ensure their scalability, reliability, and efficiency. The course covers key concepts such as data modeling, warehouse solutions, and data pipeline creation, equipping you with the skills to effectively handle and analyze large datasets.

This course not only prepares you for the Google Professional Data Engineer certification exam but also focuses on practical applications of data engineering principles in real-world scenarios. Through expert-led sessions, you'll explore advanced topics like machine learning model implementation, data security, and resource optimization in cloud environments. Our approach combines theoretical knowledge with practical exercises, ensuring that you develop the competency to design and manage robust data solutions on GCP. Whether you're a budding data engineer or an experienced professional looking to validate your skills with a certification, this course is your gateway to becoming an expert in cloud-based data engineering. Enroll now to elevate your expertise and take a leap forward in your data engineering career.

Register for Google Cloud Certification

Once you are prepared for the exam, you can register for the certification here. We are  Kryterion Authorized Testing Center. You can take the certification exam at our test center. Note that the course fee does not include the certification exam fee. 

WSQ Funding

Full Fee 3,600.00 Before GST
GST 324.00 9% of fee
Baseline Nett 2,124.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 1,404.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

Course Fee

MYR3,600.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 A Tour of Google Cloud Hands-on Labs

Topic 2 Preparing for your Professional Data Engineer Journey

Topic 3 Google Cloud Big Data and Machine Learning Fundamentals

Topic 4 Modernizing Data Lakes and Data Warehouses with Google Cloud

Topic 5 Building Batch Data Pipelines on Google Cloud

Topic 6 Building Resilient Streaming Analytics Systems on Google Cloud

Topic 7 Smart Analytics, Machine Learning, and AI on Google Cloud

Topic 8 Serverless Data Processing with Dataflow: Foundations

Topic 9 Serverless Data Processing with Dataflow: Develop Pipelines

Topic 10 Serverless Data Processing with Dataflow: Operations

Topic 11 Perform Foundational Data, ML, and AI Tasks in Google Cloud

Topic 12 Build and Optimize Data Warehouses with BigQuery

Topic 13 Engineer Data in Google Cloud

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • IT Security Specialist
  • Compliance Officer
  • System Administrator
  • Network Administrator
  • Cybersecurity Analyst
  • IT Manager
  • Security Engineer
  • Data Privacy Specialist
  • IT Auditor
  • Risk Management Specialist
  • Security Consultant
  • Information Security Officer
  • IT Governance Specialist

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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