This GCPBD: Google Cloud Big Data and Machine Learning Fundamentals course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Learn about Google Cloud’s computing and storage services available, including Compute Engine, Google Kubernetes Engine, App Engine, Cloud Storage, Cloud SQL, and BigQuery.
This GCPCIN: Google Cloud Fundamentals: Core Infrastructure course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies
Learn more about Multicloud Strategies in Malaysia: Adopting Multicloud Strategies in Malaysia: A 2024 Roadmap
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.
Data Analysts gather data, analyze that data and translate the results into insights to share with business stakeholders.
Explore ways to derive insights from data at scale using BigQuery, Google Cloud’s serverless, highly scalable, and cost-effective cloud data warehouse. This GCPDI: From Data to Insights with Google Cloud course uses lectures, demos, and hands-on labs to teach you the fundamentals of BigQuery, including how to create a data transformation pipeline, build a BI dashboard, ingest new datasets, and design schemas at scale.
This Architecting with Google Cloud: Design and Process course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective.
This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.
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.
Are you currently retrenched? If yes, check out our PERKESO EIS: Get Back into the Workforce through Upskilling program.
Learn more about Multicloud Strategies in Malaysia: Adopting Multicloud Strategies in Malaysia: A 2024 Roadmap
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
If you are new to Google Workspace, this training will equip you with the skills you need to be productive in the workplace. Through a series of lectures, demonstrations, and hands-on activities, you will become proficient in the use of the following core Google Workspace applications: Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets, Google Slides, Google Meet and Google Chat.
G Suite just got better — introducing Google Workspace. Content delivered by our partners may still include some references to G Suite as updates are being made but you will still receive relevant training.
If you’re a Google Workspace admin who needs to manage and establish Google Workspace best practices for your organization, the lectures and hands-on labs in this GCPGWA: Google Workspace Administration course will show you how to use the features in the admin console so that you can manage users, control access to services, configure security settings, monitor Google Workspace operations, and more.
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.
Implement the right networking solution for your organization.
Google Cloud Network Engineers configure, maintain, and troubleshoot network components and their connection to IT infrastructure.
Learn about the broad variety of networking options on Google Cloud. This course uses lectures, demos, and hands-on labs to help you explore and deploy Google Cloud networking technologies, including Virtual Private Cloud (VPC) networks, subnets, and firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; and Cloud NAT. You’ll also learn about common network design patterns and automated deployment using Cloud Deployment Manager or Terraform.
This GCPPCA-E: Preparing for the Professional Cloud Architect Examination course provides basic information about the Professional Cloud Architect certification exam, including sample questions. It’s designed to eliminate any confusion or misunderstandings about the process and nature of the exam itself. You’ll also explore additional training resources that can help you prepare for the exam.
Trainocate is the new and exciting development of the 25-year old establishment – Global Knowledge. The name Trainocate is inspired from the term “Training Advocate” which resonates the feeling of continuous learning, something that each member of the Trainocate team carries with them. We are in the business of empowering work forces in the Asia-Pacific region by maximizing their capabilities through training and certification. This not only helps with improving work performance but also, explores untapped potential within each individual.
Located in KL Eco City and just next to Mid Valley City, Trainocate Malaysia is a HRD Corp Registered Training Provider and Authorized Training Partner for big tech companies such as AWS, Alibaba Cloud, Cisco, Dell EMC, Fortinet, Google Cloud, IBM, Microsoft, NetApp, Nutanix, Oracle, Splunk, Red Hat, Trend Micro, and VMware. We also provide a broad range of human capital development and people skills training to individuals and organizations under American Management Association (AMA).
Years of experience in IT Training Provider Industry equates to bettering ourselves to ensure we deliver only the best training programs to our loyal clients, both in technology and people skills.
