Learn how GitHub Actions enables you to automate your software development cycle. You’ll learn how to plan automation of your software development life cycle with GitHub Actions workflows, use GitHub Actions to automatically build an application, and use GitHub Script to interact with the GitHub API.
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In this course, you’ll learn the basics of GitHub and gain a better understanding of its fundamental features with a hands-on exercise all within a GitHub repository. You’ll learn best practices for building, hosting, and maintaining a secure repository on GitHub.
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Whether you need to crunch numbers for sales, inventory, information technology, human resources, or other organizational purposes and departments, the ability to get the right information to the right people at the right time can create a powerful competitive advantage.
After all, the world runs on data more than ever before and that’s a trend not likely to change, or even slow down, any time soon. But with so much data available and being created on a nearly constant basis, the ability to make sense of that data becomes more critical and challenging with every passing day. You already know how to get Microsoft® Office Excel® to perform simple calculations and how to modify your workbooks and worksheets to make them easier to read, interpret, and present to others. But, Excel is capable of doing so much more.
To gain a truly competitive edge, you need to be able to extract actionable organizational intelligence from your raw data. In other words, when you have questions about your data, you need to know how to get Excel to provide the answers for you. And that’s exactly what this course aims to help you do.
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Organizations the world over rely on information to make sound decisions regarding all manner of affairs. But with the amount of available data growing on a daily basis, the ability to make sense of all of that data is becoming more and more challenging. Fortunately, this is where the power of Microsoft® Office Excel 2019 can help.
It will also make these tasks much easier for you to accomplish, and in much less time, than if you used traditional pen-and-paper methods or non-specialized software. This course aims to provide you with a foundation for Excel knowledge and skills, which you can build upon to eventually become an expert in data manipulation.
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Clearly, you use Excel a lot in your role. Otherwise, you wouldn’t be taking this course. By now, you’re already familiar with Microsoft® Office Excel® 2019, its functions and formulas, a lot of its features and functionality, and its powerful data analysis tools. You are likely called upon to analyze and report on data frequently, work in collaboration with others to deliver actionable organizational intelligence, and keep and maintain workbooks for all manner of purposes.
At this level of use and collaboration, you have also likely encountered your fair share of issues and challenges. You’re too busy, though, to waste time scouring over workbooks to resolve issues or to perform repetitive, monotonous tasks. You need to know how to get Excel to do more for you so you can focus on what’s really important: staying ahead of the competition. That’s exactly what this course aims to help you do.
The more you learn about how to get Excel to do the hard work for you, the more you’ll be able to focus on getting the answers you need from the vast amounts of data your organization generates.
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Unlock the potential of your data with Azure Data Fundamentals credential.
In this DP-900T00: Microsoft Azure Data Fundamentals course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data.
The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
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This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes.
Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions.
This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP-203: Azure Data Engineer certification.
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Develop dynamic reports with Microsoft Power BI
Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
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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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This DP-601T00: Implementing a Lakehouse with Microsoft Fabric course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept.
This official Microsoft course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines.
This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric.
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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.
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Unlock opportunities with Azure Cosmos DB.
This DP-420T00: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB course teaches developers how to create application using the SQL API and SDK for Azure Cosmos DB. Students will learn how to write efficient queries, create indexing policies, manage and provisioned resources, and perform common operations with the SDK.
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Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform’s capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark’s scalability and Azure Databricks’ collaborative environment, you can design complex AI systems.
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Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.
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Azure Database for PostgreSQL is a Platform as a Service database service in the Microsoft cloud. It bases itself on the PostgreSQL open-source relational database and includes built-in high availability, automatic backup and restore, as well as comprehensive security features. The pay-as-you-go pricing model provides predictable performance and near-instant scaling.
In this learning path, you learn the main features of PostgreSQL and how they work in Azure Database for PostgreSQL. You learn about the different Azure Database for PostgreSQL implementation options, and how to configure a server for your needs.
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This learning path prepares you for the task of developing data-driven applications by using Microsoft Azure SQL Database.
You’ll learn how to create and configure an Azure SQL Database, build and deploy database projects using GitHub Actions and Azure Pipelines, and automate the publishing process. Additionally, you’ll explore how to use Data API builder for Azure SQL Database and develop a data API with Azure Web Apps and Static Web App.
Furthermore, you’ll gain skills in importing data via an external REST endpoint, exporting data using an Azure Function, and securing an Azure SQL Database. These essential skills will empower you to effectively develop and manage applications using Azure SQL Database.
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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.
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Implement a Machine Learning solution with Azure Databricks
Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.
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Implementing a Data Analytics Solution with Azure Synapse Analytics
This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.
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Implement a Data Analytics Solution with Azure Databricks
Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse.
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Level up with Microsoft Certified: Azure Database Administrator Associate.
This DP-300T00: Administering Relational Databases on Microsoft Azure course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.
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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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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.
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Level up with Microsoft Certified: Azure Data Scientist Associate.
Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This DP-100T01: Designing and Implementing a Data Science Solution on Azure course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.
Level up your skills and stand out with a globally recognized certification with Yayasan Peneraju Financing Scheme – eligible for Bumiputera Malaysians.
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This DP-080T00: Querying Data with Microsoft Transact-SQL course will teach the basics of Microsoft’s dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.
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Master the basics with the Microsoft Certified: Azure Fundamentals certification.
This 1-day course will provide foundational level knowledge on core Azure concepts; core Azure services; core solutions and management tools; general security and network security; governance, privacy, and compliance features; Azure cost management and service level agreements. Note: This course provides an Azure pass and time for students to participate in hands-on labs.
Level up your skills and stand out with a globally recognized certification with Yayasan Peneraju Financing Scheme – eligible for Bumiputera Malaysians.
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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.
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Level up with Microsoft Certified: Windows Server Hybrid Administrator Associate certification.
This AZ-800T00: Administering Windows Server Hybrid Core Infrastructure course teaches IT Professionals how to manage core Windows Server workloads and services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment.
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Set your sights on the future with the all new Microsoft Certified: Azure Network Engineer Associate credential.
Are you ready to let the world know that you have the Azure networking experience and skills that enable you to plan, implement, and maintain your company’s Azure networking solutions? Get started learning about the Azure Network Engineer Associate certification today, and prepare to take your career to the next level.
This AZ-700T00: Designing and Implementing Microsoft Azure Networking Solutions course teaches Network Engineers how to design, implement, and maintain Azure networking solutions. This course covers the process of designing, implementing, and managing core Azure networking infrastructure, Hybrid Networking connections, load balancing traffic, network routing, private access to Azure services, network security and monitoring.
Learn how to design and implement a secure, reliable, network infrastructure in Azure and how to establish hybrid connectivity, routing, private access to Azure services, and monitoring in Azure.
Get Azure certified in 2024 with Microsoft Malaysia’s Learning Partner of the Year 2024 today.
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Level up with Microsoft Certified: Azure Security Engineer Associate
Reduce costs and complexity with a highly secure cloud foundation managed by Microsoft. Use multilayered, built-in security controls and unique threat intelligence from Azure to help identify and protect against rapidly evolving threats.
This Azure Security Engineer course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities on Microsoft Azure. This course includes security for identity and access, platform protection, data and applications, and security operations.
Get Azure AI certified with Microsoft Malaysia’s Learning Partner of the Year 2024 today.
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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
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Gain subject matter expertise to work with people, processes, and technologies to continuously deliver business value as an Azure DevOps Engineer.
Validate mastery of skills required to design and implement strategies for collaboration, code, infrastructure, source control, security, compliance, continuous integration, testing, delivery, monitoring, and feedback with the Microsoft Certified: DevOps Engineer Expert certification.
This Azure DevOps Engineer Expert course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms during this 4-days Azure DevOps training.
Are you currently retrenched? If yes, check out our PERKESO EIS: Get Back into the Workforce through Upskilling program.
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This session will guide you how to connect Azure Boards with one or more GitHub repositories. And By connecting Azure Boards with GitHub repositories, you enable linking between GitHub commits, pull requests, and issues to work items. You can use GitHub for software development while using Azure Boards to plan and track your work. Azure Boards provides the scalability to grow as your organization and business needs grow.
