Getting Started with Cosmos DB NoSQL Development
This course teaches developers to utilize Azure Cosmos DB for NoSQL API and SDK. Students will learn query execution, resource configuration, SDK operations, and design strategies for non-relational data modeling and data partitioning.
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:
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:
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.
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.
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:
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
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:
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.
Microsoft Fabric Analytics Engineer.
This Microsoft course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric.
Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.
The intensive 4-day program covers:
Embrace the cloud future: Enhance your career with Azure certifications.
This Configure Windows Server Hybrid Advanced Services course teaches IT Professionals to configure advanced Windows Server services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to leverage the hybrid capabilities of Azure, how to migrate virtual and physical server workloads to Azure IaaS, and how to secure Azure VMs running Windows Server.
The course also teaches IT Professionals how to perform tasks related to high availability, troubleshooting, and disaster recovery. The course highlights administrative tools and technologies including Windows Admin Center, PowerShell, Azure Arc, Azure Automation Update Management, Microsoft Defender for Identity, Azure Security Center, Azure Migrate, and Azure Monitor.
Get Azure certified in 2024 with Microsoft Malaysia’s Learning Partner of the Year 2024 today.
This session will explore how IoT Plug and Play enables solution builders to integrate IoT devices with their solutions without any manual configuration. And how a device uses to advertise its capabilities to an IoT Plug and Play-enabled application.
This session will explore what is the concept of Report Automation where you can create Advanced Dynamic Report in few steps. Working with few useful options while cleaning & preparing data. Designing a data model with non-active relationship which help us in Realtime scenario. Will also make understand Customization in Dashboard.
This session will explore what is the concept of Data LakeHouse – a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. SQL Synapse now supports Data Architecture that can consist of Data Lake, Data Warehouse or a combination of both.
This Session will uncover how to use Spatial Analysis technology responsibly and how our AI technology works, and the choices system owners can make that influence system performance and behavior. How to focus on the importance of thinking about the whole system including the technology, people, and environment.
Azure Sentinel helps to collect, detect, investigate and respond to security threats and incidents. Thus, delivering intelligent security analytics and threat intelligence across the enterprise ecosystem. Azure Sentinel natively incorporates Azure Logic Apps and Log Analytics that enhances its capabilities. It also has built-in advanced machine learning capabilities that can detect actors of threats and suspicious Behaviors that can significantly help security analysts to analyze their environment.
The core objective of the session is understanding Microsoft Sentinel association with Log Analytics. Key aspects of the session would be exploring Data Connectors and using Azure Activity
In a world that never stands still, we help you move forward.
With over 30 years of experience, Trainocate has been empowering individuals and businesses to build the essential skills that drive growth and success. Whether it’s professionals advancing in their careers or organizations transforming their workforce, our training programmes deliver results.
Specializing in cloud computing, data & AI, cybersecurity, and digital leadership, our training is powered by industry-leading technology partners like AWS, Alibaba Cloud, Cisco, EC-Council, Fortinet, Google Cloud, IBM, ISACA, ISC2, Microsoft, NetApp, Nutanix, Oracle, Palo Alto, Splunk, Red Hat, Rocheston, Trend Micro, and VMware.
Trainocate Group operates in 24 countries blending global expertise with localized insights to train the next generation of tech professionals and business leaders.
Trainocate Malaysia, based in KL Eco City, is proud to be an HRD Corp Registered Training Provider and a Yayasan Peneraju ALTI, driving workforce development across Malaysia.
