Kotte

Malwana Road, Sri Jayawardenepura Kotte, sri lanka, 10100
The Centre is located in 3.5 km (2.2 mi) from Department of Wildlife Conservation and 3.6 km (2.2 mi) from House of Fashions....

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Azure Service Fabric

Explore Our Courses

Azure Synapse Analytics

14 Hours
This instructor-led, live training in Sri Jayawardenepura Kotte (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.
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Azure Data Lake Storage Gen2

14 Hours
This instructor-led, live training in Sri Jayawardenepura Kotte (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.
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Azure Cloud Security Basic to Advanced

35 Hours
This instructor-led, live training in Sri Jayawardenepura Kotte (online or onsite) is aimed at security administrators who wish to learn how to configure Azure cloud security to secure workloads running in Azure. By the end of this training, participants will be able to:
  • Configure host and network security.
  • Configure Azure advanced security options.
  • Use Azure to secure cloud computing workloads.
  • Use endpoint protection services security against malware and viruses.
  • Secure container workloads that are running in Azure.
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Kubernetes on Azure (AKS)

14 Hours
In this instructor-led, live training in Sri Jayawardenepura Kotte (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on AKS.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Azure.
  • Migrate an existing Kubernetes environment from on-premise to AKS cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
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AZ-400T00-A: Designing and Implementing Microsoft DevOps solutions

35 Hours
This 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. Audience profile Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. Job role: DevOps Engineer Preparation for exam: AZ-400   Skills gained
  • Plan for the transformation with shared goals and timelines
  • Select a project and identify project metrics and Key Performance Indicators (KPI's)
  • Create a team and agile organizational structure
  • Design a tool integration strategy
  • Design a license management strategy (e.g. Azure DevOps and GitHub users)
  • Design a strategy for end-to-end traceability from work items to working software
  • Design an authentication and access strategy
  • Design a strategy for integrating on-premises and cloud resources
  • Describe the benefits of using Source Control
  • Describe Azure Repos and GitHub
  • Migrate from TFVC to Git
  • Manage code quality including technical debt SonarCloud, and other tooling solutions
  • Build organizational knowledge on code quality
  • Explain how to structure Git repos
  • Describe Git branching workflows
  • Leverage pull requests for collaboration and code reviews
  • Leverage Git hooks for automation
  • Use Git to foster inner source across the organization
  • Explain the role of Azure Pipelines and its components
  • Configure Agents for use in Azure Pipelines
  • Explain why continuous integration matters
  • Implement continuous integration using Azure Pipelines
  • Define Site Reliability Engineering
  • Design processes to measure end-user satisfaction and analyze user feedback
  • Design processes to automate application analytics
  • Manage alerts and reduce meaningless and non-actionable alerts
  • Carry out blameless retrospectives and create a just culture
  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
  • Implement compliance and security in your application infrastructure
  • Describe the potential challenges with integrating open-source software
  • Inspect open-source software packages for security and license compliance
  • Manage organizational security and compliance policies
  • Integrate license and vulnerability scans into build and deployment pipelines
  • Configure build pipelines to access package security and license ratings
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Azure Machine Learning (AML)

21 Hours
This instructor-led, live training in Sri Jayawardenepura Kotte (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.
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AZ-500T00-A: Microsoft Azure Security Technologies

28 Hours
This 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. This course includes security for identity and access, platform protection, data and applications, and security operations. Audience profile This course is for Azure Security Engineers who are planning to take the associated certification exam, or who are performing security tasks in their day-to-day job. This course would also be helpful to an engineer that wants to specialize in providing security for Azure-based digital platforms and play an integral role in protecting an organization's data. Skills gained
  • Implement enterprise governance strategies including role-based access control, Azure policies, and resource locks.
  • Implement an Azure AD infrastructure including users, groups, and multi-factor authentication.
  • Implement Azure AD Identity Protection including risk policies, conditional access, and access reviews.
  • Implement Azure AD Privileged Identity Management including Azure AD roles and Azure resources.
  • Implement Azure AD Connect including authentication methods and on-premises directory synchronization.
  • Implement perimeter security strategies including Azure Firewall.
  • Implement network security strategies including Network Security Groups and Application Security Groups.
  • Implement host security strategies including endpoint protection, remote access management, update management, and disk encryption.
  • Implement container security strategies including Azure Container Instances, Azure Container Registry, and Azure Kubernetes.
  • Implement Azure Key Vault including certificates, keys, and secretes.
  • Implement application security strategies including app registration, managed identities, and service endpoints.
  • Implement storage security strategies including shared access signatures, blob retention policies, and Azure Files authentication.
  • Implement database security strategies including authentication, data classification, dynamic data masking, and always encrypted.
  • Implement Azure Monitor including connected sources, log analytics, and alerts.
  • Implement Azure Security Center including policies, recommendations, and just in time virtual machine access.
  • Implement Azure Sentinel including workbooks, incidents, and playbooks.
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AZ-900T01-A: Microsoft Azure Fundamentals

7 Hours
This one-day course will provide foundational level knowledge on 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 does not provide an Azure pass or time for students to participate in hands-on labs. If you are interested in a more interactive hands-on lab experience, consider the AZ-900T00: Microsoft Azure Fundamentals (2 day) course, which includes trainer-directed hands-on labs. The content for both courses align to the AZ-900 exam objective domain.
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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
This instructor-led, live training in Sri Jayawardenepura Kotte (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.
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Azure Machine Learning

14 Hours
This instructor-led, live training in Sri Jayawardenepura Kotte (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.
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Azure Cloud Security

7 Hours
This instructor-led, live training in Sri Jayawardenepura Kotte (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.
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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
In this instructor-led, live training in Sri Jayawardenepura Kotte (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
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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
This instructor-led, live training in Sri Jayawardenepura Kotte (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.
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MLOps for Azure Machine Learning

14 Hours
This instructor-led, live training in Sri Jayawardenepura Kotte (online or onsite) is aimed at machine learning engineers 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.
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Building Microservices with Microsoft Azure Service Fabric (ASF)

21 Hours
This instructor-led, live training in Sri Jayawardenepura Kotte (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).By the end of this training, participants will be able to:
  • Use ASF as a platform for building and managing microservices.
  • Understand key microservices programming concepts and models.
  • Create a cluster in Azure.
  • Deploy microservices on premises or in the cloud.
  • Debug and troubleshoot a live microservice application.
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Microsoft Azure Infrastructure and Deployment

35 Hours
Microsoft Azure Infrastructure and Deployment
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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

That we could do everything in practice by ourselves. That our trainer had extensive knowledge and we could ask him anything and he always had the answer. That I got some skills that are useful for developers.

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

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)

very friendly and helpful

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

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