Explore Our Courses

Azure Synapse Analytics

14 Hours
Azure Synapse Analytics, formerly known as SQL Data Warehouse, is a limitless analytics service that provides tools for both enterprise data warehousing and Big Data analytics.This instructor-led, live training (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.By the end of this training, participants will be able to:
  • Understand the core concepts, architecture, and components of Azure Synapse Analytics.
  • Create, configure, and manage scalable data warehouses using Azure Synapse.
  • Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
  • Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Azure Data Lake Storage Gen2

14 Hours
Azure Data Lake Storage Gen2 is a comprehensive and highly scalable data storage service offered by Microsoft Azure that provides a platform for analytics workloads.This instructor-led, live training (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.By the end of this training, participants will be able to:
  • Understand the architecture and key features of Azure Data Lake Storage Gen2.
  • Optimize data storage and access for cost and performance.
  • Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
  • Develop solutions using the Azure Data Lake Storage Gen2 API.
  • Troubleshoot common issues and optimize storage strategies.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Azure Cloud Security Basic to Advanced

35 Hours
Azure adalah platform layanan cloud computing oleh Microsoft yang menawarkan berbagai koleksi layanan untuk mengakses dan mengelola sumber daya dan layanan cloud.Pelatihan langsung yang dipandu instruktur ini (online atau di tempat) ditujukan untuk administrator keamanan yang ingin mempelajari cara mengonfigurasi Azure keamanan cloud untuk mengamankan beban kerja yang berjalan di Azure.Pada akhir pelatihan ini, peserta akan dapat:
    Konfigurasi host dan keamanan jaringan. Konfigurasikan Azure opsi keamanan lanjutan. Gunakan Azure untuk mengamankan beban kerja komputasi awan. Gunakan keamanan layanan perlindungan endpoint terhadap malware dan virus. Amankan beban kerja kontainer yang berjalan di Azure.
Format Kursus
    Kuliah dan diskusi interaktif. Banyak latihan dan latihan. Implementasi langsung di lingkungan lab langsung.
Opsi Penyesuaian Kursus
    Untuk meminta pelatihan khusus untuk kursus ini, silakan hubungi kami untuk mengaturnya.
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Kubernetes on Azure (AKS)

14 Hours
Azure Kubernetes Layanan (AKS) adalah sebuah layanan yang tersederhana Kubernetes yang menyederhanakan perkembangan dan menangani Kubernetes cluster di Azure.  Dalam instruktor ini, latihan hidup (outline atau di situ), para penyebaran akan belajar cara mengatur dan mengatur lingkungan kontener produksi dengan Kubernetes di AKS. Pada akhir latihan ini, para pegawai akan bisa:
    Konfigurasi dan menangani Kubernetes di AKS. Deploy, mengendalikan dan memakan Kubernetes cluster. Aplikasi konteinersi (Docker) di Azure. Migre sebuah lingkungan yang ada Kubernetes dari perempuan ke awan AKS. Integrasi Kubernetes dengan software integrasi pertengahan (CI) konti. Memastikan kesimpulan tinggi dan kembali bencana pada Kubernetes.
Format Course
    Ceramah interaktif dan diskusi. Banyak latihan dan latihan. Implementasi tangan dalam lingkungan live-lab.
Pilihan Kusuasi Kursus
    Untuk meminta pelatihan yang dipakai untuk kursus ini, silakan menghubungi kita untuk mengatur.
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Azure Machine Learning (AML)

21 Hours
Azure Machine Learning (AML) is a pay-as-you-go, cloud-based environment for training, deploying, automating, managing, and tracking ML models. This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without having to purchase software and hardware and without having to worry about maintenance and deployment. By the end of this training, participants will be able to:
  • Write highly-accurate machine learning models using Python, R, or zero-code tools.
  • Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
  • Use Azures interactive workspace to collaboratively develop ML models.
  • Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Architecting Microsoft Azure Solutions

14 Hours
This training permits delegates to improve their Microsoft Azure solution design skills. After this training the delegate will understand the features and capabilities of Azure services, to be able to identify trade-offs, and make decisions for designing public and hybrid cloud solutions. During training the appropriate infrastructure and platform solutions to meet the required functional, operational, and deployment requirements through the solution life-cycle will be defined.
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Azure CLI: Getting Started

7 Hours
Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services. The Azure Command Line Interface (CLI) is an open source, cross-platform command line tool that makes creating and managing Azure resources easier. In this instructor-led, live training, participants will learn how to get started using the Azure CLI. By the end of this training, participants will be able to:
  • Understand the basics of using the Azure CLI
  • Learn techniques for managing resources using the Azure CLI
  • Apply their learnings to practical real-world problems involving virtual machines, resource management, storage accounts, web apps, and SQL databases
  • Automate their API using Azure service principals
Audience
  • Developers
  • IT Professionals
  • Technicians
  • DevOps E
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Azure DevOps Fundamentals

14 Hours
DevOps is a practice that advances the collaboration of development (Dev) and operations (Ops) processes. Azure DevOps is a set of tools and services by Microsoft that provides a platform for continuous integration and delivery of software. It supports teams by implementing efficiency across all software development tasks using its DevOps-based solutions, such as Boards, Pipelines, and more. This instructor-led, live training (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications faster than traditional development approaches. By the end of this training, participants will be able to:
  • Understand the fundamental DevOps vocabulary and principles.
  • Install and configure the necessary Azure DevOps tools for software development.
  • Utilize Azure DevOps tools and services to continuously adapt to the market.
  • Build enterprise applications and evaluate current development processes upon Azure DevOps solutions.
  • Manage teams more efficiently and accelerate software deployment time.
  • Adopt DevOps development practices within the organization.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Azure Machine Learning

14 Hours
Azure Machine Learning is a cloud based platform for building, training, and deploying machine learning models. Azure Machine Learning provides users the ability to create machine learning solutions without a single line of code. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis. By the end of this training, participants will be able to:
  • Build machine learning models with zero programming experience.
  • Create predictive algorithms with Azure Machine Learning.
  • Deploy production ready machine learning algorithms.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Azure Cloud Security

7 Hours
Microsoft Azure is a cloud platform for building, scaling, and deploying applications and services. Users can Implement security in Azure with an architectural approach to secure cloud workloads. This instructor-led, live training (online or onsite) is aimed at security administrators who wish to secure Azure workloads. By the end of this training, participants will be able to:
  • Administrate host security, network security, and more.
  • Set up storage and database security in Azure.
  • Implement security monitoring using Azure resources.
  • Prevent malicious cyber attacks on data and infrastructures.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Developing Intelligent Bots with Azure

14 Hours
The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to:
  • Learn the fundamentals of intelligent bots
  • Learn how to create intelligent bots using cloud applications
  • Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
  • Understand how to design bots using bot patterns
  • Develop their first intelligent bot using Microsoft Azure
Audience
  • Developers
  • Hobbyists
  • Engineers
  • IT Professionals
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Introduction to Azure

7 Hours
Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services. I this instructor-led, live training (onsite or remote) participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a sample cloud application. By the end of this training, participants will be able to:
  • Understand the basics of Microsoft Azure
  • Understand the different Azure tools and services
  • Learn how to use Azure for building cloud applications
Audience
  • Developers
  • IT Professionals
  • Engineers
  • Business Managers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Programming for IoT with Azure

14 Hours
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects. In this instructor-led, live training, participants will learn how to develop IoT applications using Azure. By the end of this training, participants will be able to:
  • Understand the fundamentals of IoT architecture
  • Install and configure Azure IoT Suite
  • Learn the benefits of using Azure in programming IoT systems
  • Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
  • Build, test, deploy, and troubleshoot an IoT system using Azure
Audience
  • Developers
  • Engineers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Kubeflow on Azure

28 Hours
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications. This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud. By the end of this training, participants will be able to:
  • Install and configure Kubernetes, Kubeflow and other needed software on Azure.
  • Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
  • Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
  • Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
  • Leverage other AWS managed services to extend an ML application.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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MLOps for Azure Machine Learning

14 Hours
MLOps (Machine Learning Operations) is the practice of integrating data science and operations to help manage the ML lifecycle. MLOps provides the ability to automate the reproduction of machine learning model development and training. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices. By the end of this training, participants will be able to:
  • Build reproducible workflows and machine learning models.
  • Manage the machine learning lifecycle.
  • Track and report model version history, assets, and more.
  • Deploy production ready machine learning models anywhere.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Building Microservices with Microsoft Azure Service Fabric (ASF)

21 Hours
Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ini ditujukan untuk pengembang yang ingin mempelajari cara membangun layanan mikro di Microsoft Azure Service Fabric (ASF). Pada akhir pelatihan ini, peserta akan mampu:
  • Gunakan ASF sebagai platform untuk membangun dan mengelola layanan mikro.
  • Memahami konsep dan model pemrograman layanan mikro utama.
  • Buat klaster di Azure.
  • Terapkan layanan mikro di lokasi atau di cloud.
  • Debug dan pecahkan masalah aplikasi layanan mikro langsung.
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Microsoft Azure Infrastructure and Deployment

35 Hours
In this instructor-led, live training, participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a cloud application. By the end of this training, participants will be able to:
  • Understand the basics of Microsoft Azure
  • Understand the different Azure tools and services
  • Learn how to use Azure for building cloud applications
  • Learn how to Secure Azure
  • Learn how to Managing and Monitoring VM in Azure
  • Learn how to Managing VNets
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Read more...

Last Updated:



Testimonials(15)

The details and the presentation style.

Cristian Mititean - Accenture Industrial SS
Course - Azure Machine Learning (AML)

The Exercises

Khaled Altawallbeh - Accenture Industrial SS
Course - Azure Machine Learning (AML)

It was very much what we asked for—and quite a balanced amount of content and exercises that covered the different profiles of the engineers in the company who participated.

Arturo Sánchez - INAIT SA
Course - Microsoft Azure Infrastructure and Deployment

The course, Trainer

Novat Adam - Tanzania Revenue Authority
Course - Architecting Microsoft Azure Solutions

I've got to try out resources that I've never used before.

Daniel - INIT GmbH
Course - Architecting Microsoft Azure Solutions

Bahwa kita bisa melakukan segalanya dalam praktik sendiri. Bahwa pelatih kami memiliki pengetahuan yang luas dan kami bisa menanyakan apa saja kepadanya dan dia selalu punya jawabannya. Bahwa saya mendapat beberapa keterampilan yang berguna bagi pengembang.

Julia Gajtkowska - Demant Business Services Poland
Course - Azure DevOps Fundamentals

Machine Translated

I enjoyed the relaxed mood. Also there was a very good balance between theoretical presentation and practical side.

Calin Berariu - Continental Automotive Romania SRL
Course - Programming for IoT with Azure

Exercises and practical applications

Doru Marian Aldea Ungurean - Continental Automotive Romania SRL
Course - Programming for IoT with Azure

The exercises , examples and practical application

Doru Marian Aldea ungurean - Continental Automotive Romania SRL
Course - Programming for IoT with Azure

The practical part, I was able to perform exercises and to test the Microsoft Azure features

Alex Bela - Continental Automotive Romania SRL
Course - Programming for IoT with Azure

It was really useful seeing the full pipeline from start to finish, it led to a better understanding of how to use the technology which you wouldn't get by just focusing on a few different parts out of context.

Scott Fisher - Derivco
Course - Kubernetes on Azure (AKS)

Gave some good insight into kubernetes

Adam Braidwood - Derivco
Course - Kubernetes on Azure (AKS)

Dawid is a really good at what he does, he makes something very complicated seem like a stroll in the park.

Dirk Nagel - Derivco IOM
Course - Kubernetes on Azure (AKS)

The hand-on part was really good. I would just give students a headsup to have 2 screens (as I started with a laptop only) - as you have to follow and do it yourself.

Theresa Conradie
Course - Kubernetes on Azure (AKS)

sangat ramah dan membantu

Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)

Machine Translated

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