Google Cloud Training & Certification

Accelerate cloud expertise in 2025 with Google Cloud certification training.

Google Cloud is your key to solving business challenges with cutting-edge cloud solutions. Demand for cloud expertise is skyrocketing, making Google Cloud certification a smart career move for technical professionals.

Why get Google Cloud certified?

  • Stand out in a competitive market. GCP certifications prove mastery of cloud skills.
  • 87% of Google Cloud certified individuals are more confident in their cloud skills
  • Google Cloud certifications are among the highest paying IT certifications of 2023
  • Drive business transformation. Apply your knowledge to real-world problems.
  • More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work
  • Boost your confidence and earning potential.

Trainocate’s Google Cloud training empowers you to reach your goals. Choose your path – Associate Cloud Engineer, Professional Cloud Architect, and more.

Limited Time Offer: Get 30% OFF selected Google Cloud courses in H2 2025 via our Google Cloud Certified program.

Accelerate cloud expertise in 2025 with Google Cloud certification training.

Google Cloud is your key to solving business challenges with cutting-edge cloud solutions. Demand for cloud expertise is skyrocketing, making Google Cloud certification a smart career move for technical professionals.

Why get Google Cloud certified?

  • Stand out in a competitive market. GCP certifications prove mastery of cloud skills.
  • 87% of Google Cloud certified individuals are more confident in their cloud skills
  • Google Cloud certifications are among the highest paying IT certifications of 2023
  • Drive business transformation. Apply your knowledge to real-world problems.
  • More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work
  • Boost your confidence and earning potential.

Trainocate’s Google Cloud training empowers you to reach your goals. Choose your path – Associate Cloud Engineer, Professional Cloud Architect, and more.

Limited Time Offer: Get 30% OFF selected Google Cloud courses in H2 2025 via our Google Cloud Certified program.

  • -40%

    GCPDE: Data Engineering on Google Cloud

    Original price was: RM9,600.00.Current price is: RM5,760.00.
    4 Days ILT, VILT

    Data Engineers design solutions that ensure maximum flexibility and scalability, while meeting all required security controls.

    Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning.

    This Google Cloud course covers structured, unstructured, and streaming data.

    Upskill in data engineering with 40% off – limited-time price: RM5760. 

  • -30%

    GCPNET: Networking in Google Cloud v3.0

    Price range: RM5,040.00 through RM5,670.00
    3 Days ILT, VILT

    This training course builds on the networking concepts covered in the Networking Fundamentals in Google Cloud course. Through presentations, demonstrations, and labs, participants explore and deploy Google Cloud networking technologies.

    These technologies include: Virtual Private Cloud (VPC) networks, subnets, and firewalls; Interconnection among networks; Load balancing ;Cloud DNS; Cloud CDN; Cloud NAT.

    The course will also cover common network design patterns.

  • 2 Days ILT, VILT

    Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE) and the other tools on Google Cloud. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You’ll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.

    Learn more about Kubernetes Expertise here: Kubernetes Expertise: Unlocking Cloud Potential in Malaysia

  • -30%

    GCP-DWBQ: Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration

    Original price was: RM7,200.00.Current price is: RM5,040.00.
    3 Days ILT, VILT

    In this course, you learn about the internals of BigQuery and best practices for designing, optimizing, and administering your data warehouse. Through a combination of lectures, demos, and labs, you learn about BigQuery architecture and how to design optimal storage and schemas for data ingestion and changes.

    Next, you learn techniques to improve read performance, optimize queries, manage workloads, and use logging and monitoring tools. You also learn about the different pricing models.

    Finally, you learn various methods to secure data, automate workloads, and build machine learning models with BigQuery ML.

  • -30%

    GCP-SDPD: Serverless Data Processing with Dataflow

    Original price was: RM7,200.00.Current price is: RM5,040.00.
    3 Days ILT, VILT

    The next generation of Dataflow: Dataflow Prime, Dataflow Go, and Dataflow ML.

    This training is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications.

    Beginning with foundations, this training explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in. The section on developing pipelines covers how you convert your business logic into data processing applications that can run on Dataflow.

    This training culminates with a focus on operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability

  • -30%

    LMOGC: Logging, Monitoring and Observability in Google Cloud

    Original price was: RM7,200.00.Current price is: RM5,040.00.
    2 Days ILT, VILT

    The Logging, Monitoring and Observability in Google Cloud training course teaches participants techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud.

    Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliability Engineering (SRE), this official Google Cloud course features a combination of lectures, demos, hands-on labs, and real-world case studies. In this course, you’ll gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, and profiling CPU and memory usage.

  • 2 Days ILT, VILT

    This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision-making.

  • 2 Days ILT, VILT

    Unlock the power of data with Cloud Data Fusion.

    This 2-day Google Cloud course introduces learners to Google Cloud’s data integration capability using Cloud Data Fusion.

    In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion’s main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.

  • 2 Days ILT, VILT

    Discover how to modernize, manage, and observe applications using Kubernetes—whether the application is deployed on-premises or on Google Cloud. This course uses lectures and hands-on labs to help you explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh, and Anthos Config Management capabilities that will enable you to work with modern applications, even when they are split among multiple clusters hosted by multiple providers, or on-premises. This is a continuation of Architecting with GKE, and you’ll need hands-on experience with the technologies covered in that course in order to benefit from this course.

  • -38%

    GCPGCE: Architecting with Google Compute Engine

    Original price was: RM7,200.00.Current price is: RM4,500.00.
    3 Days ILT, VILT

    This GCPGCE: Architecting with Google Compute Engine course will familiarize you with Google Cloud’s flexible infrastructure and platform services, with a specific focus on Compute Engine. This session uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services.

    You’ll also learn how to deploy practical solutions such as secure interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

    Now at RM4,500 – get 37.5% off this hands-on course for aspiring cloud engineers. 

    Learn more about Multicloud Strategies in Malaysia: Adopting Multicloud Strategies in Malaysia: A 2024 Roadmap

  • -30%

    GCP-GAIL: Generative AI Leader

    Original price was: RM4,800.00.Current price is: RM3,360.00.
    2 Days ILT, VILT

    In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.

    Upskill in Generative AI with 30% off – limited-time price: RM3360

  • 5 Days ILT, VILT

    What is machine learning, and what kinds of problems can it solve? Why are neural networks so popular right now? How can you improve data quality and perform exploratory data analysis? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent? In this course, you’ll learn how to write distributed machine learning models that scale in Tensorflow 2.x, perform feature engineering in BQML and Keras, evaluate loss curves and perform hyperparameter tuning, and train models at scale with Cloud AI Platform.

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