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Elevate Your Expertise with Advanced Excel Training
Looking to supercharge your Microsoft Excel skills? Our ‘Microsoft Excel 2021 Advanced’ course is your ticket to unlocking the full potential of this powerful tool. Whether you’re a clerk, executive, manager, or just someone passionate about mastering Excel, this course is tailor-made for you. We’ve designed it to take your existing Excel knowledge to the next level, helping you excel in your professional endeavors.
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Unlock the potential of your data with Azure Data Fundamentals credential.
To master data in the cloud, you need the right foundation—a solid understanding of core data concepts, such as relational data, nonrelational data, big data, and analytics. Plus familiarity with the roles, tasks, and responsibilities in the world of data and data analytics.
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
- build their foundational knowledge of cloud data services within Microsoft Azure
- 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
- explore the roles, tasks, and responsibilities in the world of data
- explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure
- explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure
- explore the processing options available for building data analytics solutions in Azure
- explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
- 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, and prepares learners for the Microsoft Certified: Fabric Data Engineer Associate 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.
The intensive 4-day program covers:
- Building and managing Fabric pipelines, notebooks, lakehouses, and warehouses
- Designing semantic models and optimizing DAX and SQL queries
- Implementing robust security, governance, version control, and deployment strategies
- Hands-on labs and real-world exercises aligned with DP‑600 exam domains
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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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This course explores how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, store data, and create insightful reports using Copilot in Microsoft Fabric.
- Level: Intermediate
- Product: Microsoft Fabric
- Role: Data Analyst, Data Engineer, Data Scientist
- Subject: Data analytics, Data engineering, Data integration, Data management, Data modeling, Data storage, Data visualization
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This course covers generative AI engineering on Azure Databricks, using Spark to explore, fine-tune, evaluate, and integrate advanced language models. It teaches how to implement techniques like retrieval-augmented generation (RAG) and multi-stage reasoning, as well as how to fine-tune large language models for specific tasks and evaluate their performance.
Students will also learn about responsible AI practices for deploying AI solutions and how to manage models in production using LLMOps (Large Language Model Operations) on Azure Databricks.
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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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Build Machine Learning Solutions using Azure Databricks.
Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications.
Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning.
In this course, you’ll learn how to use Azure Databricks to train and deploy machine learning models.
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This course explores how to use Databricks and Apache Spark on Azure to take data projects from exploration to production.
- Learn how to ingest, transform, and analyze large-scale datasets with Spark DataFrames, Spark SQL, and PySpark
- Build confidence in managing distributed data processing
- Get hands-on with the Databricks workspace—navigating clusters and creating and optimizing Delta tables
- Dive into data engineering practices, including designing ETL pipelines, handling schema evolution, and enforcing data quality.
- Automate and manage workloads with Lakeflow Jobs and pipelines
- Explore governance and security capabilities such as Unity Catalog and Purview integration
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Level up with Microsoft Certified: Azure Database Administrator Associate.
This DP-300T00: Implement Scalable Database Solutions using Azure SQL 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.
With stores of data—and the uses for it—increasing exponentially, the need for skilled Azure database administrators will only continue to grow. With this new Microsoft Certification, you can prove your expertise and show organizations that you have the skills they need. Ready to get started?
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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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Trainocate: A Global Leader in Technology, Business, and People Development
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.
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