Google Cloud Training & Certification

Accelerate cloud expertise in 2026 with Google Cloud certification training.

Google Cloud certifications validate your ability to design, deploy and manage cloud solutions across platforms, services and real-world workloads.

Google Cloud Certified programs help you gain practical knowledge, prepare for industry exams, and develop skills in areas such as cloud fundamentals, development, data analytics, AI, and infrastructure.

  • Why get trained: Develop foundational to advanced cloud skills using Google Cloud technologies so you can confidently support cloud initiatives, implement solutions and demonstrate your expertise with recognized certification credentials that employers increasingly seek.
  • Why it matters: Cloud capabilities are a core requirement for digital transformation. Professionals with Google Cloud certification help their organizations innovate faster, secure workloads, optimize resources, and make data-driven decisions — giving you a competitive advantage in today’s cloud-driven job market.
  • Who should attend: Aspiring cloud professionals, developers, data engineers, solution architects, IT administrators, business analysts, and anyone seeking structured training and certification pathways on Google Cloud — from foundational roles to professional specialization.

Enroll in Google Cloud Certified training and start building the skills and credentials that help you stand out and deliver results in cloud technology roles.

Accelerate cloud expertise in 2026 with Google Cloud certification training.

Google Cloud certifications validate your ability to design, deploy and manage cloud solutions across platforms, services and real-world workloads.

Google Cloud Certified programs help you gain practical knowledge, prepare for industry exams, and develop skills in areas such as cloud fundamentals, development, data analytics, AI, and infrastructure.

  • Why get trained: Develop foundational to advanced cloud skills using Google Cloud technologies so you can confidently support cloud initiatives, implement solutions and demonstrate your expertise with recognized certification credentials that employers increasingly seek.
  • Why it matters: Cloud capabilities are a core requirement for digital transformation. Professionals with Google Cloud certification help their organizations innovate faster, secure workloads, optimize resources, and make data-driven decisions — giving you a competitive advantage in today’s cloud-driven job market.
  • Who should attend: Aspiring cloud professionals, developers, data engineers, solution architects, IT administrators, business analysts, and anyone seeking structured training and certification pathways on Google Cloud — from foundational roles to professional specialization.

Enroll in Google Cloud Certified training and start building the skills and credentials that help you stand out and deliver results in cloud technology roles.

  • GCP-MPGC: ML Pipelines on Google Cloud

    Price range: RM9,600.00 through RM10,442.00
    4 Days ILT, VILT

    In this GCP-MPGC: ML Pipelines on Google Cloud course, you will learn about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. The first few modules discuss pipeline components, pipeline orchestration with TFX, how you can automate your pipeline through CI/CD, and how to manage ML metadata.

    Then we will discuss how to automate and reuse ML pipelines across multiple ML frameworks such as tensorflow, pytorch, scikit learn, and xgboost. You will also learn how to use Cloud Composer to orchestrate your continuous training pipelines, and MLflow for managing the complete machine learning life cycle.

  • GCP-MLOF: MLOps (Machine Learning Operations) Fundamentals

    Price range: RM2,400.00 through RM3,242.00
    1 Day ILT, VILT

    This GCP-MLOF: MLOps (Machine Learning Operations) Fundamentals course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.

    Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.

  • 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.

  • 1 Day ILT, VILT

    In this course, you’ll learn the fundamentals and best practices of SRE, the importance of adopting an SRE culture, and how SRE can improve collaboration between IT and business leaders—and help the entire organization succeed.

  • 1 Day ILT, VILT

    The most automated and scalable managed Kubernetes platform.

    • Learn how to create and deploy containerized applications on Google Kubernetes Engine (GKE).
    • This GCP-GSGKE: Getting Started with Google Kubernetes Engine course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements including infrastructure components like pods, and containers.

    Limited Time Offer: Get up to 45% OFF selected Google Cloud courses in H2 2025 via our Google Cloud Certified program.

  • 5 Days ILT, VILT

    This GCP-AMLTF: Advanced Machine Learning with TensorFlow on Google Cloud course will give you hands-on experience optimizing, deploying, and scaling a variety of production ML models. You’ll learn how to build recommendation systems
    and scalable, accurate, and production-ready models for structured data, image data, time series, and natural language text.

  • GCP-MLGC: Machine Learning on Google Cloud

    Price range: RM12,000.00 through RM12,900.00
    5 Days ILT, VILT

    This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions.

    It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project. You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques
    and feature engineering.

     

  • 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.

  • GCP-DEVA: Developing Applications with Google Cloud

    Price range: RM7,200.00 through RM8,100.00
    3 Days ILT, VILT

    Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.

    In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.

  • GCSEC: Security in Google Cloud

    Price range: RM7,200.00 through RM8,100.00
    3 Days ILT, VILT

    Learn best practices in cloud security and how the Google Cloud security model can help protect your technology stack. Security Engineers actively assess existing Google Cloud implementations, identifying potential security issues, and prioritizing solutions.

    This Google Cloud certification uses lectures, demos, and hands-on labs to teach you about a variety of Google Cloud security controls and techniques. You’ll explore the components of Google Cloud and deploy a secure solution on the platform. You’ll also learn how to mitigate attacks at several points in a Google Cloud-based infrastructure, including distributed denial-of-service attacks, phishing attacks, and threats involving content classification and use.

    Explore more about cybersecurity certifications with our cybersecurity training and certifications guide.

  • GCPPPDE-E: Preparing for the Google Cloud Professional Data Engineer Examination

    Price range: RM2,400.00 through RM2,940.00
    1 Day ILT, VILT

    This official Google Cloud course will help you prepare for the Google Professional Data Engineer certification exam.

    This session uses lectures, quizzes, and discussions to help you become familiar with the structure and format of the exam. You’ll take part in exam question reasoning and case comprehension, get tips from certified experts, and review topics from the Data Engineering curriculum.

    At the end of the course, you’ll take an ungraded practice exam and then a graded practice exam that will simulate the exam-taking experience.

  • GCPNET: Networking in Google Cloud v3.0

    Price range: RM7,200.00 through RM8,100.00
    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.

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