Oracle Cloud Infrastructure Foundations
This course will help you in developing a strong foundation in cloud computing, core concepts and features of Oracle Cloud Infrastructure (OCI).
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
This learning path prepares you for the task of migrating SQL Server workloads to Azure SQL Database.
You’ll learn how to assess SQL Server components and compatibility for migration using the Azure SQL Migration Extension and Database Migration Assistant. This training guides you through the process of provisioning and configuring Azure SQL Database resources. You gain hands-on experience in choosing the best migration option to meet business requirements for downtime, handling migration state, and monitoring database migration.
Additionally, you’ll also learn to perform post-migration tasks like disaster recovery and monitoring for Azure SQL Database. These skills are essential for ensuring a smooth, efficient transition to Azure SQL Database, and maintaining its operation post-migration.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Develop the skills necessary to configure a secure deployment solution for cloud-native apps. Learn how to build, deploy, scale, and manage containerized cloud-native apps using Azure Container Apps, Azure Container Registry, and Azure Pipelines.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Learn how to gather information from API documentation and perform HTTP operations in an ASP.NET Core Razor Pages web app.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
This learning path helps you prepare for the Implement security through a pipeline assessment using Azure DevOps. Learn how to configure and secure Azure Pipelines. You’ll also get opportunities to practice hands-on skills. These skills include configuring secure access to pipeline resources, configuring, and validating permissions, configuring a project and repository structure, extending a pipeline, configuring pipelines to use variables and parameters securely, and managing identity for projects, pipelines, and agents.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
In this learning path, you practice implementing Azure Monitor to collect, analyze and act on monitoring telemetry from Azure environments. You learn to configure and interpret monitoring for virtual machines, networking, and web applications.
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Secure storage for Azure Files and Azure Blob Storage
In this learning path, you practice storing business data securely by using Azure Blob Storage and Azure Files. The skills validated include creating storage accounts, storage containers, and file shares. Also, configuring encryption and networking to improve the security posture.
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Configure secure access to your workloads using Azure virtual networking
In this learning path, you practice configuring secure access to workloads using Azure networking.
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Deploy containers by using Azure Kubernetes Service (AKS)
In this learning path, you practice deploying containers, container orchestration, and managing clusters on Azure Kubernetes Service. The skills validated include deploying, configuring, and scaling an Azure Kubernetes Service cluster. Also, deploying an Azure Container Registry instance and deploying an application into an Azure Kubernetes Service cluster.
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Deploy, manage, and troubleshoot containerized applications running as Kubernetes workloads in OpenShift clusters.
The Red Hat OpenShift Administration I: Operating a Production Cluster (DO180) prepares OpenShift cluster administrators to manage Kubernetes workloads and to collaborate with developers, DevOps engineers, system administrators, and SREs to ensure the availability of application workloads. This Red Hat OpenShift course focuses on managing typical end-user applications that are often accessible from a web or mobile UI and that represent most cloud-native and containerized workloads. Managing applications also includes deploying and updating their dependencies, such as databases, messaging, and authentication systems.
The skills that you learn in this course apply to all versions of OpenShift, including Red Hat OpenShift on AWS (ROSA), Azure Red Hat OpenShift, and OpenShift Container Platform.
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Rocheston Certified Cybercrime Investigator
The RCCI (Rocheston Certified Cybercrime Investigator) course offered by Rocheston will equip you with the necessary tools and skillsets to become a cybercrime investigator, a role that is expected to see increased demand over the next few years.
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Manage complex Red Hat Ansible automation workflows at scale and prevent single points of failure.
The Managing Enterprise Automation with Red Hat Ansible Automation Platform (DO467) course is intended for experienced Ansible automation engineers, DevOps practitioners, and Linux system administrators seeking to deploy, control, and support centralized automation execution on a large scale.
Students will use Red Hat Ansible Automation Platform 2 to scale up Ansible automation. They will deploy automation controller to centrally manage automation workflows, automation mesh to scale up and distribute execution capacity, and private automation hub to manage Ansible Content Collections and automation execution environments for use by automation developers. Large scale automation cluster design and approaches to ensure high availability of Ansible Automation Platform will also be discussed.
This course is based on Red Hat Ansible Automation Platform 2.2.
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Configure and manage network infrastructure using Red Hat Ansible Automation Platform.
Network Automation with Red Hat Ansible Automation Platform (DO457) is designed for network administrators or infrastructure automation engineers who want to use network automation to centrally manage the switches, routers, and other devices in the organization’s network infrastructure.
Learn how to use Red Hat Ansible Automation Platform to remotely automate the configuration of network devices, test and validate the current network state, and perform compliance checks to detect and correct configuration drift.
This course is based on Red Hat® Ansible Automation Platform 2.3
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Plan, implement, and manage OpenShift clusters at scale
Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380) expands upon the skills required to plan, implement, and manage OpenShift® clusters in the enterprise. You will learn how to configure and manage OpenShift clusters at scale to address increasing and special demands from applications and ensure reliability, performance, and availability.
This course is based on Red Hat® OpenShift Container Platform 4.14.
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Configure and manage OpenShift clusters to maintain security and reliability across multiple applications and development teams.
Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster with exam (DO281) prepares OpenShift Cluster Administrators to perform daily administration tasks on clusters that host applications provided by internal teams and external vendors, enable self-service for cluster users with different roles, and deploy applications that require special permissions such as such as CI/CD tooling, performance monitoring, and security scanners. This course focuses on configuring multi-tenancy and security features of OpenShift as well as managing OpenShift add-ons based on operators.
The skills you learn in this course can be applied using all versions of OpenShift, including Red Hat OpenShift on AWS (ROSA), Azure Red Hat OpenShift, and OpenShift Container Platform.
This course is based on Red Hat® OpenShift® 4.14. The Red Hat Certified OpenShift Administrator exam (EX280) is included in this offering.
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Java SE 17 Developer
This course is intended for students with some programming experience and is a comprehensive training for the Java programming language.
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VMware vSphere: Design
This three-day course equips you with the knowledge, skills, and abilities to design a VMware vSphere 8 virtual infrastructure. You follow a proven approach to design a virtualization solution that ensures availability, manageability, performance, recoverability, and security. The approach presented follows VMware best practices. This course discusses the benefits and risks of available design alternatives and provides information to support making sound design decisions.
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Create computer vision solutions with Azure AI Vision
Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
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Develop natural language processing solutions with Azure AI Services
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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This course is intended for software developers wanting to build AI infused applications that extract information in Azure, including Azure AI Content Understanding and Azure AI Document Intelligence.
You’ll learn how to:
- Create a multimodal analysis solution with Azure AI Content Understanding
- Create an Azure AI Content Understanding client application
- Use prebuilt Document intelligence models
- Extract data from forms with Azure Document intelligence
- Create a knowledge mining solution with Azure AI Search
As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.
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In this learning path, the student is exposed to various ways to:
- Source streaming data sources into Microsoft Fabric.
- Use real time Eventstream in Microsoft Fabric.
- Query data in a KQL database in Microsoft Fabric.
- Create real time dashboards in Microsoft Fabric.
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Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.
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Real skills for real-time results with Microsoft Applied Skills credentials.
Get started with Microsoft Sentinel security operations by configuring the Microsoft Sentinel workspace, connecting Microsoft services and Windows security events to Microsoft Sentinel, configuring Microsoft Sentinel analytics rules, and responding to threats with automated responses.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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This learning path guides you in securing Azure services and workloads using Microsoft Cloud Security Benchmark controls in Microsoft Defender for Cloud via the Azure portal.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Use Microsoft Entra to manage access by using entitlements, access reviews, privileged access tools, and monitor access events.
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Learn about Microsoft Copilot for Security, an AI-powered security analysis tool that enables analysts to process security signals and respond to threats at a machine speed, and the AI concepts upon which it’s built.
Empower Your Career with Microsoft AI Skills! Join our hands-on courses to build the expertise today’s industries demand. Master AI applications and position yourself as a leader in the digital world.
Check it out – Microsoft Lead The Era of AI
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Learn how to build and distribute Microsoft Teams apps that retrieve user information using the Microsoft Graph API. Practice building and deploying apps in the guided project at the end of the learning path.
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Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
Microsoft Applied Skills – the new credentials to verify in-demand technical skills. Get trained and certified in 2024 with Microsoft Malaysia’s Learning Partner of the Year 2024 today.
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Certify your expertise in managing IT services, making you the preferred choice for roles in IT service management and support.
This 3-day course compiles for the candidates the understanding of the key concepts, principles, value and challenges of ITIL 4’s five management practices, namely, the ITIL 4 Incident Management Practice, the ITIL 4 Service Desk Practice, the ITIL 4 Service Request Management Practice, the ITIL 4 Monitoring and Event Management Practice, and the ITIL 4 Problem Management Practice.
It is intended to provide candidates with best practice guidance at both strategic and operational levels of maximizing value from the Practices.
The ITIL 4 Monitor, Support, and Fulfil Practices module is structured and aligned around the ITIL framework. This ITIL 4 certification is intended to assess whether the candidate can demonstrate sufficient understanding and application of the concepts covered in the ITIL 4 Incident Management Practice, ITIL 4 Service Desk Practice, ITIL 4 Service Request Management Practice, ITIL 4 Monitoring and Event Management Practice, ITIL 4 Problem Management Practice publications.
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In this course, you will learn about the different components that make up the Amazon Web Services (AWS) infrastructure and the security challenges these environments present, including high availability (HA), load balancing, and software-defined networking (SDN) connectors, and how to manage traffic in the cloud with Fortinet products.
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In this course, you will learn about the different components that make up the Microsoft Azure infrastructure and the security challenges these environments present, including high availability (HA), autoscaling, Azure Virtual WAN, and software-defined networking (SDN) connectors, and how to manage traffic in the cloud with Fortinet products.
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In this class, you will learn how to use FortiEDR to protect your endpoints against advanced attacks with real-time orchestrated incident response functionality. You will also explore FortiEDR features and how they protect your endpoints automatically in real time.
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In this course, you will learn about FortiSOAR architecture, and how to deploy, configure, manage, operate, and monitor FortiSOAR in a SOC environment. You will learn about various system customization options, HA deployment, security management using role-based access control (RBAC), and various system monitoring tools.
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Master relationship-building with ITIL 4 Specialist: Business Relationship Management—designed for IT pros who manage and grow trusted partnerships between service providers and consumers.
The ITIL 4 Specialist: Business Relationship Management module is for IT professionals who are involved in establishing and nurturing the relationships between service providers and consumer organizations, and their stakeholders.
Based on the ITIL 4 framework, this ITIL 4 certification provides both strategic and practical best practice guidance to help organizations understand the value of Business Relationship Management as well as its key concepts and challenges. Professionals should be able to use these concepts to deliver return on investment in digital technology, develop and apply service relationship models and integrate Business Relationship Management in the organisation’s service value streams for a holistic and end-to-end approach.
