Get Google Cloud Certified
Take the First Step
Master AI & Machine Learning with Google Cloud. Take the first step towards career growth.
Gain industry-recognized certification and future-proof your career in cloud computing. Whether you’re an IT professional, developer, data engineer, or AI enthusiast, a Google Cloud certification gives you job-ready expertise, higher salary potential, and a competitive edge.
Get Google Cloud Certified
Take the First Step
Master AI & Machine Learning with Google Cloud. Take the first step towards career growth.
Gain industry-recognized certification and future-proof your career in cloud computing. Whether you’re an IT professional, developer, data engineer, or AI enthusiast, a Google Cloud certification gives you job-ready expertise, higher salary potential, and a competitive edge.
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The Digital Skills Gap in Malaysia – Why Certification Matters
500k
Malaysia needs over 500,000 digital talents by 2025 to achieve MyDIGITAL’s vision.
23%
Employers anticipate a 23% labor market churn in the next five years, meaning job roles will significantly evolve—professionals must reskill or risk obsolescence.
80%
80% of government services aim to be fully digital by 2025, increasing the need for cloud-certified professionals.
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Why Get Google Cloud Certified?
Why Get Google Cloud Certified?
A Google Cloud certification isn’t just a badge—it’s a career accelerator. Whether you’re an IT professional, developer, data engineer, or AI enthusiast, certification helps you gain job-ready expertise, increase salary potential, and future-proof your career.
8 in 10
say that they prefer to recruit and hire professionals who hold cloud certifications.
61%
61%
say that certification is the most important part of their cloud learning journey.
7 in 10
say that certified employees are more productive.
82%
say that certifications in cloud skills increase the likelihood that a project will be completed on time.
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High-Demand Google Cloud Skills at 30% Off
Find what’s best for you. From Gen AI to Cloud Architect, we have it all here.
Professional Cloud Architect Learning Path
A Cloud Architect is responsible for designing, developing, and managing secure, scalable, and resilient cloud solutions. This learning path offers a carefully curated set of on-demand courses, hands-on labs, and skill badges that equip you with practical experience using key Google Cloud technologies relevant to the Cloud Architect role. After completing the path, take the next step in your career by pursuing the Google Cloud Professional Cloud Architect certification.
Preparing for Your Professional Cloud Architect Journey (1 Day)
- Google Cloud Professional Cloud Architect Exam Prep course is designed to help you understand key exam topics, explore real-world case studies, and practice with sample questions. This training will guide you through Google Cloud’s architectural best practices, security, scalability, and cost management, equipping you with the knowledge to confidently take the certification exam.
Google Cloud Fundamentals: Core Infrastructure (1 Day)
- This one-day, instructor-led training offers a comprehensive introduction to Google Cloud’s core services, including Compute Engine, Google Kubernetes Engine, App Engine, Cloud Storage, Cloud SQL, and BigQuery.
Architecting with Google Compute Engine (3 Days)
- This Architecting with Google Compute Engine course offers an in-depth exploration of Google Cloud’s infrastructure services. This training equips you with the skills to design and deploy robust applications on Google Cloud, focusing on networks, systems, and application services.
Logging, Monitoring & Observability (2 Days)
- This logging, Monitoring, and Observability in Google Cloud course equips you with essential skills to effectively monitor, troubleshoot, and optimize applications on Google Cloud. This training focuses on implementing robust observability practices using Google’s Cloud Operations Suite, ensuring your systems are reliable, efficient, and secure.
Getting Started with Google Kubernetes Engine (1 Day)
- This Getting Started with Google Kubernetes Engine course offers a comprehensive introduction to deploying and managing containerized applications using GKE. This training combines lectures, demos, and hands-on labs to equip you with practical skills in container orchestration on Google Cloud.
Reliable Google Cloud Infrastructure: Design and Process (2 Days)
- This Architecting with Google Cloud: Design and Process course empowers you to build highly reliable and efficient solutions on the Google Cloud Platform. This training focuses on designing Google Cloud deployments that are secure, cost-effective, and aligned with best practices.
••••
High-Demand Google Cloud Skills at 30% Off
Find what’s best for you. From Gen AI to Cloud Architect, we have it all here.
Professional Cloud Architect Learning Path
A Cloud Architect is responsible for designing, developing, and managing secure, scalable, and resilient cloud solutions. This learning path offers a carefully curated set of on-demand courses, hands-on labs, and skill badges that equip you with practical experience using key Google Cloud technologies relevant to the Cloud Architect role. After completing the path, take the next step in your career by pursuing the Google Cloud Professional Cloud Architect certification.
Preparing for Your Professional Cloud Architect Journey
1 Day
- Google Cloud Professional Cloud Architect Exam Prep course is designed to help you understand key exam topics, explore real-world case studies, and practice with sample questions. This training will guide you through Google Cloud’s architectural best practices, security, scalability, and cost management, equipping you with the knowledge to confidently take the certification exam.
Google Cloud Fundamentals: Core Infrastructure
1 Day
- This one-day, instructor-led training offers a comprehensive introduction to Google Cloud’s core services, including Compute Engine, Google Kubernetes Engine, App Engine, Cloud Storage, Cloud SQL, and BigQuery.
Architecting with Google Compute Engine
3 Days
- This Architecting with Google Compute Engine course offers an in-depth exploration of Google Cloud’s infrastructure services. This training equips you with the skills to design and deploy robust applications on Google Cloud, focusing on networks, systems, and application services.
Logging, Monitoring & Observability
2 Days
- This logging, Monitoring, and Observability in Google Cloud course equips you with essential skills to effectively monitor, troubleshoot, and optimize applications on Google Cloud. This training focuses on implementing robust observability practices using Google’s Cloud Operations Suite, ensuring your systems are reliable, efficient, and secure.
Reliable Google Cloud Infrastructure: Design and Process
2 Days
- This Architecting with Google Cloud: Design and Process course empowers you to build highly reliable and efficient solutions on the Google Cloud Platform. This training focuses on designing Google Cloud deployments that are secure, cost-effective, and aligned with best practices.
Getting Started with Google Kubernetes Engine
1 Day
- This Getting Started with Google Kubernetes Engine course offers a comprehensive introduction to deploying and managing containerized applications using GKE. This training combines lectures, demos, and hands-on labs to equip you with practical skills in container orchestration on Google Cloud.
A Professional Machine Learning Engineer designs, builds, and optimizes AI solutions using Google Cloud and traditional ML techniques. They manage large datasets, create scalable code, and operationalize generative AI models. With strong programming skills and knowledge of MLOps, data engineering, and responsible AI, they collaborate across teams to deploy and maintain high-performing, reliable AI systems.
Professional Cloud Security Engineer
Introduction to AI and Machine Learning on Google Cloud (1 Day)
- This course introduces Google Cloud’s AI and ML offerings for predictive and generative AI projects. It covers technologies, tools, and the data-to-AI lifecycle, with hands-on exercises for data scientists, AI developers, and ML engineers.
Machine learning on Google Cloud (4 Days)
- Machine Learning on Google Cloud (GCP-MLGC) course offers a comprehensive, hands-on experience in building and deploying machine learning models using Google Cloud’s robust infrastructure.
Professional Machine Learning Engineer
A Professional Machine Learning Engineer designs, builds, and optimizes AI solutions using Google Cloud and traditional ML techniques. They manage large datasets, create scalable code, and operationalize generative AI models. With strong programming skills and knowledge of MLOps, data engineering, and responsible AI, they collaborate across teams to deploy and maintain high-performing, reliable AI systems.
Introduction to AI and Machine Learning on Google Cloud
1 Day
- This course introduces Google Cloud’s AI and ML offerings for predictive and generative AI projects. It covers technologies, tools, and the data-to-AI lifecycle, with hands-on exercises for data scientists, AI developers, and ML engineers.
Machine learning on Google Cloud
4 Days
- Machine Learning on Google Cloud (GCP-MLGC) course offers a comprehensive, hands-on experience in building and deploying machine learning models using Google Cloud’s robust infrastructure.
Professional Cloud Security Engineer
A Cloud Security Engineer helps organizations design and deploy secure workloads and infrastructure on Google Cloud. Leveraging security best practices and industry standards, they build and manage secure solutions using Google Cloud security tools. Their expertise includes identity and access management, resource hierarchy and policy definition, data protection, network security, threat monitoring, security automation, securing AI workloads and software supply chains, and ensuring compliance with regulatory requirements.
Security in Google Cloud (3 Days)
- This course focuses on best practices for securing applications and data on Google Cloud. It covers key security concepts such as identity and access management (IAM), network security, data protection, and threat detection. Participants will learn how to configure security policies, monitor security risks, and implement compliance controls. Ideal for security professionals, cloud architects, and IT administrators looking to enhance cloud security expertise.
Networking in Google Cloud 3.0 (3 Days)
- This course dives deep into Google Cloud’s networking services and architecture. It covers key topics such as Virtual Private Cloud (VPC), hybrid networking, load balancing, and network security. Participants will learn how to design, implement, and manage scalable and secure network solutions using Google Cloud. This course is ideal for network engineers, cloud architects, and IT professionals looking to enhance their cloud networking skills.
Google Cloud Fundamentals: Core Infrastructure (1 Day)
- This course provides an introduction to Google Cloud’s core infrastructure and services. It covers key concepts such as computing, storage, networking, and security, helping participants understand how to use Google Cloud solutions effectively. Through hands-on labs and real-world scenarios, learners will gain foundational knowledge to kickstart their cloud journey. Ideal for IT professionals, developers, and those new to cloud computing.
Logging, Monitoring, and Observability in Google Cloud (2 Days)
- This course provides in-depth training on how to monitor and manage applications and infrastructure using Google Cloud’s operations suite. It covers key topics such as log analysis, performance monitoring, incident response, and observability best practices. Participants will learn how to set up monitoring dashboards, analyze logs, and improve system reliability. Ideal for DevOps engineers, cloud administrators, and IT professionals focused on cloud performance and security.
Professional Cloud Security Engineer
A Cloud Security Engineer helps organizations design and deploy secure workloads and infrastructure on Google Cloud. Leveraging security best practices and industry standards, they build and manage secure solutions using Google Cloud security tools. Their expertise includes identity and access management, resource hierarchy and policy definition, data protection, network security, threat monitoring, security automation, securing AI workloads and software supply chains, and ensuring compliance with regulatory requirements.
Security in Google Cloud
3 Days
- This course focuses on best practices for securing applications and data on Google Cloud. It covers key security concepts such as identity and access management (IAM), network security, data protection, and threat detection. Participants will learn how to configure security policies, monitor security risks, and implement compliance controls. Ideal for security professionals, cloud architects, and IT administrators looking to enhance cloud security expertise.
Networking in Google Cloud 3.0
3 Day
- This course dives deep into Google Cloud’s networking services and architecture. It covers key topics such as Virtual Private Cloud (VPC), hybrid networking, load balancing, and network security. Participants will learn how to design, implement, and manage scalable and secure network solutions using Google Cloud. This course is ideal for network engineers, cloud architects, and IT professionals looking to enhance their cloud networking skills.
Google Cloud Fundamentals: Core Infrastructure
1 Day
- This course provides an introduction to Google Cloud’s core infrastructure and services. It covers key concepts such as computing, storage, networking, and security, helping participants understand how to use Google Cloud solutions effectively. Through hands-on labs and real-world scenarios, learners will gain foundational knowledge to kickstart their cloud journey. Ideal for IT professionals, developers, and those new to cloud computing.
Logging, Monitoring, and Observability in Google Cloud
2 Days
- This course provides in-depth training on how to monitor and manage applications and infrastructure using Google Cloud’s operations suite. It covers key topics such as log analysis, performance monitoring, incident response, and observability best practices. Participants will learn how to set up monitoring dashboards, analyze logs, and improve system reliability. Ideal for DevOps engineers, cloud administrators, and IT professionals focused on cloud performance and security.
Professional Cloud Security Engineer
A Cloud Security Engineer helps organizations design and deploy secure workloads and infrastructure on Google Cloud. Leveraging security best practices and industry standards, they build and manage secure solutions using Google Cloud security tools. Their expertise includes identity and access management, resource hierarchy and policy definition, data protection, network security, threat monitoring, security automation, securing AI workloads and software supply chains, and ensuring compliance with regulatory requirements.
Google Cloud Fundamentals: Core Infrastructure
1 Day
- This course provides an introduction to Google Cloud’s core infrastructure and services. It covers key concepts such as computing, storage, networking, and security, helping participants understand how to use Google Cloud solutions effectively. Through hands-on labs and real-world scenarios, learners will gain foundational knowledge to kickstart their cloud journey. Ideal for IT professionals, developers, and those new to cloud computing.
Networking in Google Cloud 3.0
2 Days
- This course dives deep into Google Cloud’s networking services and architecture. It covers key topics such as Virtual Private Cloud (VPC), hybrid networking, load balancing, and network security. Participants will learn how to design, implement, and manage scalable and secure network solutions using Google Cloud. This course is ideal for network engineers, cloud architects, and IT professionals looking to enhance their cloud networking skills.
Security in Google Cloud
3 Days
- This course focuses on best practices for securing applications and data on Google Cloud. It covers key security concepts such as identity and access management (IAM), network security, data protection, and threat detection. Participants will learn how to configure security policies, monitor security risks, and implement compliance controls. Ideal for security professionals, cloud architects, and IT administrators looking to enhance cloud security expertise.
Logging, Monitoring, and Observability in Google Cloud
2 Days
- This course provides in-depth training on how to monitor and manage applications and infrastructure using Google Cloud’s operations suite. It covers key topics such as log analysis, performance monitoring, incident response, and observability best practices. Participants will learn how to set up monitoring dashboards, analyze logs, and improve system reliability. Ideal for DevOps engineers, cloud administrators, and IT professionals focused on cloud performance and security.
Professional Data Engineer
A Professional Data Engineer transforms raw data into meaningful insights by collecting, processing, and publishing it for others to use. They assess and choose tools and services that align with business goals and compliance needs. Their role involves designing, building, deploying, monitoring, maintaining, and securing reliable data processing systems.
Data Engineering on Google Cloud (4 Days)
- Data Engineering on Google Cloud Platform course offers hands-on experience in designing and building data processing systems on Google Cloud. This 4-day training equips you with the skills to leverage Google Cloud’s data processing capabilities effectively.
Serverless Data Processing with Dataflow (3 Days)
- This training is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications.
Professional Data Engineer
A Professional Data Engineer transforms raw data into meaningful insights by collecting, processing, and publishing it for others to use. They assess and choose tools and services that align with business goals and compliance needs. Their role involves designing, building, deploying, monitoring, maintaining, and securing reliable data processing systems.
Data Engineering on Google Cloud
4 Days
- Data Engineering on Google Cloud Platform course offers hands-on experience in designing and building data processing systems on Google Cloud. This 4-day training equips you with the skills to leverage Google Cloud’s data processing capabilities effectively.
Data Engineering on Google Cloud
4 Days
- Gain practical experience in designing and building data processing systems on Google Cloud. Through lectures, demos, and hands-on labs, you’ll learn to create end-to-end data pipelines, analyze structured, unstructured, and streaming data, and apply machine learning.
Serverless Data Processing with Dataflow
3 Days
- This training is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications.
Professional Cloud Network Engineer
A Professional Cloud Network Engineer designs, implements, and manages network infrastructure on Google Cloud, ensuring high availability, scalability, security, and resilience. They are skilled in configuring VPCs, routing, load balancing, network security, and Cloud DNS. They also set up hybrid connectivity using Cloud Interconnect and Cloud VPN, and are proficient in monitoring, diagnosing, and troubleshooting network performance with Google Cloud Observability and the Network Intelligence Center.
Google Cloud Fundamentals: Core Infrastructure (1 Day)
- This course provides an introduction to Google Cloud’s core infrastructure and services. It covers key concepts such as computing, storage, networking, and security, helping participants understand how to use Google Cloud solutions effectively. Through hands-on labs and real-world scenarios, learners will gain foundational knowledge to kickstart their cloud journey. Ideal for IT professionals, developers, and those new to cloud computing.
Networking in Google Cloud 3.0 (3 Days)
- This course dives deep into Google Cloud’s networking services and architecture. It covers key topics such as Virtual Private Cloud (VPC), hybrid networking, load balancing, and network security. Participants will learn how to design, implement, and manage scalable and secure network solutions using Google Cloud. This course is ideal for network engineers, cloud architects, and IT professionals looking to enhance their cloud networking skills.
Logging, Monitoring, and Observability in Google Cloud (2 Days)
- This course provides in-depth training on how to monitor and manage applications and infrastructure using Google Cloud’s operations suite. It covers key topics such as log analysis, performance monitoring, incident response, and observability best practices. Participants will learn how to set up monitoring dashboards, analyze logs, and improve system reliability. Ideal for DevOps engineers, cloud administrators, and IT professionals focused on cloud performance and security.
Professional Cloud Network Engineer
A Professional Cloud Network Engineer designs, implements, and manages network infrastructure on Google Cloud, ensuring high availability, scalability, security, and resilience. They are skilled in configuring VPCs, routing, load balancing, network security, and Cloud DNS. They also set up hybrid connectivity using Cloud Interconnect and Cloud VPN, and are proficient in monitoring, diagnosing, and troubleshooting network performance with Google Cloud Observability and the Network Intelligence Center.
Google Cloud Fundamentals: Core Infrastructure
1 Day
- This course provides an introduction to Google Cloud’s core infrastructure and services. It covers key concepts such as computing, storage, networking, and security, helping participants understand how to use Google Cloud solutions effectively. Through hands-on labs and real-world scenarios, learners will gain foundational knowledge to kickstart their cloud journey. Ideal for IT professionals, developers, and those new to cloud computing.
Networking in Google Cloud 3.0
3 Days
- This course dives deep into Google Cloud’s networking services and architecture. It covers key topics such as Virtual Private Cloud (VPC), hybrid networking, load balancing, and network security. Participants will learn how to design, implement, and manage scalable and secure network solutions using Google Cloud. This course is ideal for network engineers, cloud architects, and IT professionals looking to enhance their cloud networking skills.
Logging, Monitoring, and Observability in Google Cloud
2 Days
- This course provides in-depth training on how to monitor and manage applications and infrastructure using Google Cloud’s operations suite. It covers key topics such as log analysis, performance monitoring, incident response, and observability best practices. Participants will learn how to set up monitoring dashboards, analyze logs, and improve system reliability. Ideal for DevOps engineers, cloud administrators, and IT professionals focused on cloud performance and security.
Generative AI
This learning path offers a comprehensive introduction to generative AI, covering key concepts from large language model fundamentals to responsible AI practices.
Beginner Level
Introduction to AI and Machine Learning on Google Cloud (1 Day)
- This course explores Google Cloud’s AI and ML offerings for predictive and generative AI projects, covering technologies, tools, and the full data-to-AI lifecycle.
Introduction to Generative AI for Decision Makers (1/2 Day)
- This course is designed for business leaders and decision-makers seeking to understand generative AI’s impact on their organizations. It covers generative AI services on Google Cloud and inspires innovative thinking on AI-driven possibilities.
Industry Use Cases for Generative AI (1/2 Day)
- This course explores generative AI use cases across industries using Google Cloud. It includes a deep dive into two case studies and guides you in applying the same framework to your own use case. Designed for professionals across roles, it helps leverage generative AI for business solutions.
Writing Effective Prompts for Generative AI (1/2 Day)
- This course covers the fundamentals of prompting large language models and techniques to enhance their output. It also explores multimodal models like Gemini Vision Pro, equipping professionals with essential AI interaction skills.
Intermediate Level
Application Development with LLMs on Google Cloud (1 Day)
- This course covers tools and APIs on Google Cloud for integrating LLMs into applications. You’ll explore generative AI options, LLMs, and prompt design in Vertex AI Studio, then dive into LangChain for building AI-powered apps. After learning advanced prompt engineering, you’ll create a multi-turn chat application using LangChain and the Vertex AI Gemini API.
Vertex AI Agent builder (1 Day)
- Learn to create enterprise-grade generative AI apps with Vertex AI Agent Builder—no ML expertise needed! This course covers building search engines & chat applications, integrating them into your projects, and managing them in production.
Introduction to Developer Efficiency with Gemini (1 Day)1 Day)
- Discover the power of Generative AI in software development! This course explores how AI enhances coding efficiency, integrates Gemini & PaLM APIs, and leverages Vertex AI Model Garden for innovation.
Generative AI
This learning path offers a comprehensive introduction to generative AI, covering key concepts from large language model fundamentals to responsible AI practices.
Beginner Level
Introduction to AI and Machine Learning on Google Cloud
1 Day
- This course explores Google Cloud’s AI and ML offerings for predictive and generative AI projects, covering technologies, tools, and the full data-to-AI lifecycle.
Introduction to Generative AI for Decision Makers
1/2 Day
- This course is designed for business leaders and decision-makers seeking to understand generative AI’s impact on their organizations. It covers generative AI services on Google Cloud and inspires innovative thinking on AI-driven possibilities.
Industry Use Cases for Generative AI
1/2 Day
- This course explores generative AI use cases across industries using Google Cloud. It includes a deep dive into two case studies and guides you in applying the same framework to your own use case. Designed for professionals across roles, it helps leverage generative AI for business solutions.
Writing Effective Prompts for Generative AI
1/2 Day
- This course covers the fundamentals of prompting large language models and techniques to enhance their output. It also explores multimodal models like Gemini Vision Pro, equipping professionals with essential AI interaction skills.
Intermediate Level
Application Development with LLMs on Google Cloud
1 Day
- This course covers tools and APIs on Google Cloud for integrating LLMs into applications. You’ll explore generative AI options, LLMs, and prompt design in Vertex AI Studio, then dive into LangChain for building AI-powered apps. After learning advanced prompt engineering, you’ll create a multi-turn chat application using LangChain and the Vertex AI Gemini API.
Vertex AI Agent builder
1 Day
- Learn to create enterprise-grade generative AI apps with Vertex AI Agent Builder—no ML expertise needed! This course covers building search engines & chat applications, integrating them into your projects, and managing them in production.
Introduction to Developer Efficiency with Gemini
1 Day
- Discover the power of Generative AI in software development! This course explores how AI enhances coding efficiency, integrates Gemini & PaLM APIs, and leverages Vertex AI Model Garden for innovation.
Generative AI
This learning path offers a comprehensive introduction to generative AI, covering key concepts from large language model fundamentals to responsible AI practices.
Beginner Level
Introduction to AI and Machine Learning on Google Cloud
1 Day
- This course explores Google Cloud’s AI and ML offerings for predictive and generative AI projects, covering technologies, tools, and the full data-to-AI lifecycle.
Introduction to Generative AI for Decision Makers
1/2 Day
- This course is designed for business leaders and decision-makers seeking to understand generative AI’s impact on their organizations. It covers generative AI services on Google Cloud and inspires innovative thinking on AI-driven possibilities.
Industry Use Cases for Generative AI
1/2 Day
- This course explores generative AI use cases across industries using Google Cloud. It includes a deep dive into two case studies and guides you in applying the same framework to your own use case. Designed for professionals across roles, it helps leverage generative AI for business solutions.
Writing Effective Prompts for Generative AI
1/2 Day
- This course covers the fundamentals of prompting large language models and techniques to enhance their output. It also explores multimodal models like Gemini Vision Pro, equipping professionals with essential AI interaction skills.
Intermediate Level
Application Development with LLMs on Google Cloud
1 Day
- This course covers tools and APIs on Google Cloud for integrating LLMs into applications. You’ll explore generative AI options, LLMs, and prompt design in Vertex AI Studio, then dive into LangChain for building AI-powered apps. After learning advanced prompt engineering, you’ll create a multi-turn chat application using LangChain and the Vertex AI Gemini API.
Vertex AI Agent builder
1 Day
- Learn to create enterprise-grade generative AI apps with Vertex AI Agent Builder—no ML expertise needed! This course covers building search engines & chat applications, integrating them into your projects, and managing them in production.
Introduction to Developer Efficiency with Gemini
1 Day
- Discover the power of Generative AI in software development! This course explores how AI enhances coding efficiency, integrates Gemini & PaLM APIs, and leverages Vertex AI Model Garden for innovation.
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See What People Are Saying
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Take charge of your future.
Get Google Cloud certified and unlock new career opportunities!
Get Google Cloud certified and unlock new career opportunities!
