Courses - Page 6 of 44 - IT Training and Certification

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Cloud Computing Training & Certification

GCPCIN: Google Cloud Fundamentals: Core Infrastructure

1 Day ILT, VILT

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

Enroll now for RM1,320 – enjoy 45% off this entry-level course in Google Cloud fundamentals.

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

GCPGKE: Architecting with Google Kubernetes Engine

RM4,800.00

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

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GCPNET: Networking in Google Cloud v3.0

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.

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

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.

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GCSEC: Security in Google Cloud

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.

GCP-DEVA: Developing Applications with Google Cloud

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.

GCPANTH: Architecting Hybrid Cloud Infrastructure with Anthos

RM4,800.00

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.

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GCP-GSGKE: Getting Started with Google Kubernetes Engine

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.

Are you currently retrenched? If yes, check out our PERKESO EIS: Get Back into the Workforce through Upskilling program.

GCP-DGSE: Developing a Google SRE Culture

RM2,400.00

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.

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LMOGC: Logging, Monitoring and Observability in Google Cloud

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.

Machine Learning & AI Training and Certification

GCP-MLOF: MLOps (Machine Learning Operations) Fundamentals

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.

GCP-MPGC: ML Pipelines on Google Cloud

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.

GCPML: Machine Learning on Google Cloud

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.

GCPGW: Getting Started with Google Workspace

4 Days ILT, VILT

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.

GCP-AWS: Google Cloud Fundamentals for AWS Professionals

RM2,400.00

1 Day ILT, VILT

This GCP-AWS: Google Cloud Fundamentals for AWS Professionals course is designed for AWS system administrators, solutions architects, and SysOps administrators who are familiar with AWS features and setup and want to gain experience configuring Google Cloud products immediately. This course uses lectures, demos, and hands-on labs to show you the similarities and differences between the two platforms and teach you about some basic tasks on Google Cloud.

WM668G: IBM App Connect Enterprise V11 Application Development

RM8,630.00

5 Days ILT, VILT

IBM App Connect Enterprise provides connectivity and universal data transformation in heterogeneous IT environments. It enables businesses of any size to eliminate point-to-point connections and batch processing, regardless of operating system, protocol, and data format.

This course teaches you how to use IBM App Connect Enterprise to develop, deploy, and support message flow applications. These applications use various messaging topologies to transport messages between service requesters and service providers, and allow the messages to be routed, transformed, and enriched during processing.

In this course, you learn how to construct applications to transport and transform data. The course explores how to control the flow of data by using various processing nodes, and how to use databases and maps to transform and enrich data during processing. You also learn how to construct data models by using the Data Format Description Language (DFDL).

6X338G: IBM Watson Studio and IBM Watson Machine Learning for IBM Cloud Pak for Data (V3.0.x) eLearning

RM462.00

1 Day SPVC

This course goes through the stages of a data science project from importing data to deployment, using services in Watson Studio and Watson Machine Learning for Cloud Pak for Data.

6X336G: IBM Cloud Pak for Data (v3.0.x): Foundations eLearning

RM462.00

1 Day SPVC

This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This learning is relevant for Cloud Pak for Data and Cloud Pak for Data System. This WBT contains instructional and interactive content, demonstrations and hands-on simulated exercises.

TN530G: IBM Network Performance Insight 1.3.1 Installation and Configuration

RM4,200.00

4 Days ILT, VILT

IBM Network Performance Insight is a network performance monitoring system. It offers real-time and historical trends in network performance and interactive views of network data that help reduce network downtime and optimize network performance. Network Performance Insight provides IBM Netcool Operations Insight with comprehensive IP network device performance monitoring and traffic analysis. In this 3-day course, you learn how to install IBM Network Performance Insight and integrate it with IBM Netcool Operations Insight. This course is lab-intensive, with an emphasis on hands-on exercises.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

TOD67G: Network Performance Insight 1.3.1 – Implementation and Configuration

RM4,200.00

4 Days SPVC

In this 3-days TOD67G: Network Performance Insight 1.3.1 – Implementation and Configuration course, you learn how to install IBM Network Performance Insight and integrate it with IBM Netcool Operations Insight. This course is lab-intensive, with an emphasis on hands-on exercises.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. /terms

WF318G: Developing Applications in IBM Datacap v9.1.7

RM3,360.00

4 Days SPVC

This WF318G: Developing Applications in IBM Datacap v9.1.7 course provides technical professionals with the skills that are needed to build Datacap applications.

The course begins with an introduction to IBM Datacap. You learn about capture concepts, Datacap process, page identification methods, and architecture. You process batches for Datacap applications in the Datacap clients.

You learn about the design and components of a Datacap application. You build a Datacap application by using Forms Template in Datacap Studio and configure it. You learn how to troubleshoot a Datacap application. You configure a Datacap application to process documents of multiple page types in a single batch. You implement OCR and OMR to extract data from data fields and from multiple choice check boxes. You export data to a text file and also to an IBM FileNet Content Manager repository. You build page layouts, create virtual page blocks, and extract data from tables and label-value pairs. Through instructor-led presentations and hands-on lab exercises, you learn about the core features of IBM Datacap.

WT011G: IBM Aspera High-Speed Transfer Server Administration

RM3,150.00

3 Days ILT, VILT

This course is intended to teach the necessary knowledge and skills to install, configure, and use the IBM Aspera High-Speed Transfer Server.

WT012G: IBM Aspera Console Administration

RM1,890.00

1 Day SPVC

This WT012G: IBM Aspera Console Administration course is also available as self-paced virtual (e-learning) course IBM Aspera Console Administration (ZT012G). This option does not require any travel.

This course is intended to teach the necessary knowledge and skills to install, configure, and use IBM Aspera Console.

ZM156G: IBM MQ v9.1 System Administration

RM5,250.00

5 Days SPVC

This course is also available as classroom course WM156: IBM MQ V9.1 System Administration

This course teaches you how to customize, operate, administer, and monitor IBM MQ on-premises on distributed operating systems. The course covers configuration, day-to-day administration, problem recovery, security management, and performance monitoring. In addition to the recorded lectures, the hands-on exercises provide practical experience with distributed queuing, working with MQ clients, and implementing clusters, publish/subscribe messaging. You also learn how to implement authorization, authentication, and encryption, and you learn how to monitor performance.

Note:This course does not cover any of the features of MQ for z/OS or MQ for IBM i.

ZM668G: IBM App Connect Enterprise v11 Application Development

RM5,250.00

5 Days SPVC

This course is also available as classroom course IBM App Connect Enterprise V11 Application Development (WM668G).

The ZM668G: IBM App Connect Enterprise v11 Application Development provides connectivity and universal data transformation in heterogeneous IT environments. It enables businesses of any size to eliminate point-to-point connections and batch processing, regardless of operating system, protocol, and data format.

This course teaches you how to use IBM App Connect Enterprise to develop, deploy, and support message flow applications. These applications use various messaging topologies to transport messages between service requesters and service providers, and allow the messages to be routed, transformed, and enriched during processing.

In this course, you learn how to construct applications to transport and transform data. The course explores how to control the flow of data by using various processing nodes, and how to use databases and maps to transform and enrich data during processing. You also learn how to construct data models by using the Data Format Description Language (DFDL).

ZT012G: IBM Aspera Console Administration

RM1,890.00

1 Day SPVC

This course is also available as classroom course IBM Aspera Console Administration (WT012G).

This ZT012G: IBM Aspera Console Administration course is intended to teach the necessary knowledge and skills to install, configure, and use IBM Aspera Console.

Out of stock

IT Infrastructure Training and Certification

LX063G: Preparing for Red Hat OpenShift: Implementing Containers on IBM Power Systems

2 Days ILT, VILT

This 2 day course is designed to provide skills enablement for system administrators and product support specialists in the area of operating system based virtualization provided by Linux containers. Topics include introduction to Podman, Buildah, Docker, Kubernetes and CRI-O. Hands-on exercises reinforce the lecture material, allowing students to install and configure Linux containers.

QZC42G: Implementing Red Hat OpenShift Container Platform on Power Systems

2 Days ILT, VILT

This course broadens the skills of the student who are required to implement and manage a Kubernetes-based Platform as a Service (PaaS) environment based on Red Hat OpenShift Container Platform on Power Systems. The course covers basic administration and configuration of Red Hat OpenShift Container Platform within a POWER processor-based server configured with IBM PowerVC. Hands-on exercises reinforce the lecture material, and allow students to use the Red Hat OpenShift Container Platform to work with images, applications, and manage a cluster.

QZW05DG: Red Hat OpenShift Container Platform update process on Power Systems

2 Days WBT

This course covers the steps to follow to update a Red Hat OpenShift Container Platform 4.3.18 environment on Power Systems to 4.3.23. Lessons learned, and hints and tips will be provided to help you perform the update successfully.

Out of stock

TSP12G: IBM Spectrum Protect Plus 10.1.6 – Implementation and Administration

2 Days ILT, VILT

In this three-day course, you learn how to install, configure and administer IBM Spectrum Protect Plus v10.1.6. You begin with a review of the software capabilities, requirements, and architecture. Then, through lecture and hands-on labs, you learn how to perform the various tasks required to configure the environment on an installed virtual appliance. You customize SLA policies and make use of available options to protect virtual machines and applications, as well as the IBM Spectrum Protect Plus catalog. You monitor and manage jobs, plan and prepare for disaster recovery, view log files, and create custom reports.

0E018G: Data Science without a Ph.D. Using IBM SPSS Modeler v18.1.1

RM1,890.00

1 Day SPVC

This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis, build models, evaluate models, and deploy models. To learn about these data science concepts and topics, participants will use IBM SPSS Modeler as a tool.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

0E028G: Introduction to Time Series Analysis Using IBM SPSS Modeler v18.1.1

RM1,890.00

1 Day SPVC

This course gets you up and running with a set of procedures for analyzing time series data. Learn how to forecast using a variety of models, including regression, exponential smoothing, and ARIMA, which take into account different combinations of trend and seasonality. The Expert Modeler features will be covered, which is designed to automatically select the best fitting exponential smoothing or ARIMA model, but you will also learn how to specify your own custom models, and also how to identify ARIMA models yourself using a variety of diagnostic tools such as time plots and autocorrelation plots.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms

0E038G: Advanced Predictive Modeling Using IBM SPSS Modeler v18.1.1

RM1,890.00

1 Day SPVC

This 0E038G: Advanced Predictive Modeling Using IBM SPSS Modeler v18.1.1 course presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed such as partitioning, detecting anomalies, and balancing data. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core fields, referred to as components or factors. The next units focus on supervised models, including Decision List, Support Vector Machines, Random Trees, and XGBoost. Methods are reviewed to combine supervised models and execute them in a single run, both for categorical and continuous targets.

0E039G: Advanced Machine Learning Models Using IBM SPSS Modeler v18.2

RM1,890.00

1 Day SPVC

This 0E039G: Advanced Machine Learning Models Using IBM SPSS Modeler v18.2 course presents advanced models available in IBM SPSS Modeler. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core factors, referred to as components or factors. The next topics focus on supervised models, including Support Vector Machines, Random Trees, and XGBoost. Methods are reviewed on how to analyze text data, combine individual models into a single model, and how to enhance the power of IBM SPSS Modeler by adding external models, developed in Python or R, to the Modeling palette.

0E048G: Clustering and Association Modeling Using IBM SPSS Modeler v18.1.1

RM1,890.00

1 Day ILT, VILT, SPVC

Clustering and Association Modeling Using IBM SPSS Modeler (v18.1) introduces modelers to two specific classes of modeling that are available in IBM SPSS Modeler: clustering and associations. Participants will explore various clustering techniques that are often employed in market segmentation studies. Participants will also explore how to create association models to find rules describing the relationships among a set of items, and how to create sequence models to find rules describing the relationships over time among a set of items.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms

0E069G: IBM SPSS Modeler Foundations v18.2

RM2,100.00

2 Days SPVC

This 0E069G: IBM SPSS Modeler Foundations v18.2 course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms

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