Local instructor-led live Amazon Web Services (AWS) training courses in България.
Oтзиви от потребители
Gabriel was very organized and prepared for this training. He answered all questions and clarify the AWS notions and architecture. Great job, Gabriel.
Mircea Turcu
Course: AWS Architect Certification
I was benefit from the coverage of relevant topics and discussion/focus on needed subjects.
vasanth kumar - HGS - Hinduja Global Solutions
Course: AWS Architect Certification
I genuinely liked the new technology.
PCCW
Course: AWS Developer Associate
examples, preparation of materials, level of knowledge of trainer, excellent communication
Michał Krasucki - Instytut Lotnictwa
Course: AWS Developer Associate
Practice parts
Instytut Lotnictwa
Course: AWS Developer Associate
The training is practical and it is good for understanding how to use AWS step by step
PCCW
Course: AWS Developer Associate
That it was all new technology and offerings to myself. After being shown how quick and easy it is to set up certain services in AWS, I feel I could get a real benefit out of it for quick project and proposal prototyping.
MDA Systems Ltd.
Course: AWS Developer Associate
Fernando knew the products and how to use them. His willingness and friendliness to assist in the hands-on lab was great.
MDA Systems Ltd.
Course: AWS Developer Associate
There was a good general pass over what seemed like the most important parts of AWS. The instructor was open to questions and addressed areas of AWS that were not part of the outline based on our questions.
MDA Systems Ltd.
Course: AWS Developer Associate
I liked getting to understand the breadth of the services offered by AWS and gaining a better understanding of their pricing model for each of those services.
William Crowdis - MDA Systems Ltd.
Course: AWS Developer Associate
Thought it was a good overview of a lot of different services. Liked the detail on IAS.
MDA Systems Ltd.
Course: AWS Developer Associate
Explaining why it's financially viable to do these things
MDA Systems Ltd.
Course: AWS Developer Associate
It provided context for the things we do in AWS.
MDA Systems Ltd.
Course: AWS Developer Associate
Everything. I had played around with AWS before but just on my own personal time. The training really brought everything together, with real world examples and how many individual pieces can be bolted together for a applicable solution.
Matt Sartain - MDA Systems Ltd.
Course: AWS Developer Associate
Hands-on labs
MDA Systems Ltd.
Course: AWS Developer Associate
Знанията на инструктора са невероятни, както и яснота в обясненията.
CARGLASS, S.L.
Course: AWS Architect Certification
Machine Translated
Training is good but require more time to practice test
Manu Megaravalli - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
I really liked the training. It was very informative and clear explanation of all topics during whole training
Venkatesh Varanasi - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
Since I am from network security the tropic interested me are network configuration and security management .As mentioned earlier 16 hours is not enough to cover all the topics , but the training is planned in such a way to provide an overview of how the cloud works .
Sanjith Cherian - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
Despite the 2 days, trainer has performed well. I personally thanks to him.
Baris Aydogmusoglu - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
showing the different features of AWS and help the audience in case something doesn't work properly.
Issam IEBOUBEN - HSBC Service Delivery (Polska) Sp. z o o.
Course: AWS Architect Certification
Всичко, което имаше теоретично въведение и след това покритие чрез един пример. Хареса ми, че тъй като презентатора не знаеше нещо (например отговорът на въпроса), той каза, че не знае, но ще се провери в почивка и ще се върне към това. Хареса ми примера най-много с използването на SNS, Lambd, Динамо, EC2 и API Gateaway - специфично приложение и интегриране на услугите помежду им.
Marcel Kończyk - NetworkedAssets Sp. z o.o.
Course: AWS CloudFormation
Machine Translated
Amazon Web Services (AWS) Subcategories
Amazon Web Services (AWS) Course Outlines
Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед
14 hours
Общ преглед
AWS Lambda is a compute service that allows developers to write and run code without having to spin up containers and virtual machines, maintain storage, or procure the resources for running the code at scale.
This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate AWS Lambda functions with services such as API Gateway, Kinesis Streams, etc. The training also demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.
By the end of this training, participants will be able to:
- Collaboratively develop applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda 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.
This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate AWS Lambda functions with services such as API Gateway, Kinesis Streams, etc. The training also demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.
By the end of this training, participants will be able to:
- Collaboratively develop applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda 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.
21 hours
Общ преглед
Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS.
In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.
By the end of this training, participants will be able to:
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
- Developers
- IT Professionals
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.
In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.
By the end of this training, participants will be able to:
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
- Developers
- IT Professionals
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.
14 hours
Общ преглед
EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on EKS
- Migrate an existing Kubernetes environment from on-premise to AWS cloud
- Integrate Kubernetes with third-party continuous integration (CI) software
- Ensure high availability and disaster recovery in Kubernetes
- Understand and adopt the tools available to efficiently manage EKS
Audience
- Developers
- System Administrators
- DevOps Engineers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on EKS
- Migrate an existing Kubernetes environment from on-premise to AWS cloud
- Integrate Kubernetes with third-party continuous integration (CI) software
- Ensure high availability and disaster recovery in Kubernetes
- Understand and adopt the tools available to efficiently manage EKS
Audience
- Developers
- System Administrators
- DevOps Engineers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange.
28 hours
Общ преглед
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is a machine learning library and 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 an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- 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.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- 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.
8 hours
Общ преглед
Summary:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
21 hours
Общ преглед
There are a number of options for deploying Docker and Kubernetes on AWS, including Amazon Elastic Container Service, Amazon ECS for Kubernetes, AWS Fargate, and Amazon EC2.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed tools to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
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.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed tools to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
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.
14 hours
Общ преглед
Amazon CloudFront is a CDN (content delivery network) service in AWS. It consists of a globally-distributed network of proxy servers that cache content to improve the download speed for users in different locations.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to accelerate the performance of their website or web application by way of an Amazon CloudFront CDN (content delivery network).
By the end of this training, participants will be able to:
- Setup the appropriate AWS account to access CloudFront.
- Cache media content such as video and audio near consumers to reduce latency and increase download speed.
- Cache frequently accessed static content such as website images and downloadable software.
- Cache dynamic, streaming, and interactive content to improve the customer experience.
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.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to accelerate the performance of their website or web application by way of an Amazon CloudFront CDN (content delivery network).
By the end of this training, participants will be able to:
- Setup the appropriate AWS account to access CloudFront.
- Cache media content such as video and audio near consumers to reduce latency and increase download speed.
- Cache frequently accessed static content such as website images and downloadable software.
- Cache dynamic, streaming, and interactive content to improve the customer experience.
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.
7 hours
Общ преглед
Managing an AWS environment is a complex and error-prone job. CloudFormation enables the provisioning of a cloud environment using text based YAML templates.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.
By the end of this training, participants will be able to:
- Enable AWS services to get started managing infrastructure.
- Understand and apply the principle of "infrastructure as code".
- Improve quality and lower the costs of deploying infrastructure.
- Write CloudFormation Templates using YAML.
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.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.
By the end of this training, participants will be able to:
- Enable AWS services to get started managing infrastructure.
- Understand and apply the principle of "infrastructure as code".
- Improve quality and lower the costs of deploying infrastructure.
- Write CloudFormation Templates using YAML.
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.
7 hours
Общ преглед
This instructor-led, live training provides an overview of AWS products, services and solutions. It is aimed at individuals and teams who are:
- evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
- evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.
By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.
Format of the Course
- The training will be interactive and includes hands-on lab activities and live implementation.
- evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
- evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.
By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.
Format of the Course
- The training will be interactive and includes hands-on lab activities and live implementation.
14 hours
Общ преглед
AWS Lambda is a "serverless" computing platform that allows engineers to create a small function, configure it in AWS console, and execute it without needing to provision servers—paying only for the resources used during the execution.
This instructor-led, live training (online or onsite) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).
By the end of this training, participants will be able to:
- Configure AWS Lambda to execute a function.
- Understand FaaS (Functions as a Service) and the advantages of serverless development.
- Build, upload and execute AWS Lambda functions.
- Integrate Lambda functions with different event sources.
- Package, deploy, monitor and troubleshoot Lambda based applications.
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.
- To learn more about AWS Lambda, please visit: https://docs.aws.amazon.com/lamda
This instructor-led, live training (online or onsite) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).
By the end of this training, participants will be able to:
- Configure AWS Lambda to execute a function.
- Understand FaaS (Functions as a Service) and the advantages of serverless development.
- Build, upload and execute AWS Lambda functions.
- Integrate Lambda functions with different event sources.
- Package, deploy, monitor and troubleshoot Lambda based applications.
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.
- To learn more about AWS Lambda, please visit: https://docs.aws.amazon.com/lamda
14 hours
Общ преглед
This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy and manage IoT devices on AWS.
By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Exercises will be based on any of a number of languages and SDKs supported by AWS IoT (C, Java, JavaScript, Python, Arduino Yún, iOS, Android, etc.). To request a specific language or SDK, please contact us to arrange.
- To learn more about AWS IoT Core, please visit: https://aws.amazon.com/iot-core/
By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Exercises will be based on any of a number of languages and SDKs supported by AWS IoT (C, Java, JavaScript, Python, Arduino Yún, iOS, Android, etc.). To request a specific language or SDK, please contact us to arrange.
- To learn more about AWS IoT Core, please visit: https://aws.amazon.com/iot-core/
14 hours
Общ преглед
Amazon Elastic Container Service for Kubernetes (Amazon EKS, or AWS EKS) is a service for running Kubernetes on AWS without having to install and operate Kubernetes yourself.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters.
By the end of this training, participants will be able to:
- Set up an EKS based Kubernetes cluster.
- Create and run a containerized application on Amazon EKS.
- Auto-scale a Containerized Application
- Automate the Deployment Process
- Integrate EKS based applications with a new or existing Continuous Integration workflow.
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.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters.
By the end of this training, participants will be able to:
- Set up an EKS based Kubernetes cluster.
- Create and run a containerized application on Amazon EKS.
- Auto-scale a Containerized Application
- Automate the Deployment Process
- Integrate EKS based applications with a new or existing Continuous Integration workflow.
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.
14 hours
Общ преглед
Amazon Elastic Container Service (Amazon ECS or AWS ECS) is a container orchestration service for running containerized applications on AWS.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploy and scale containerized applications.
By the end of this training, participants will be able to:
- Create a containerized application running on Amazon ECS.
- Understand how ECS Clusters and the ECS Agent work.
- Auto Scale a Containerized Application.
- Automate the Deployment Process.
- Integrate the Docker application deployment process with new or existing Continuous Integration workflows.
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.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploy and scale containerized applications.
By the end of this training, participants will be able to:
- Create a containerized application running on Amazon ECS.
- Understand how ECS Clusters and the ECS Agent work.
- Auto Scale a Containerized Application.
- Automate the Deployment Process.
- Integrate the Docker application deployment process with new or existing Continuous Integration workflows.
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.
28 hours
Общ преглед
NOTE: to get the course 100% subsidized by the goverment of Quebec (Quebec residents only) please contact us at quebec@nobleprog.ca
REMARQUE: pour que le cours soit subventionné à 100% par le gouvernement du Québec (résidents du Québec seulement), veuillez nous contacter à quebec@nobleprog.ca
This 4 day course will provide:
- An understanding of the Core AWS services, uses, and basic architecture best practices.
- Proficiency in designing, developing, and deploying cloud-based solutions using AWS.
- Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.
Audience:
Cloud engineers, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, Network administrators , Virtualization administrators.
On Completion of this training programme participants should able to deploy and use AWS services from a Developer standpoint.
REMARQUE: pour que le cours soit subventionné à 100% par le gouvernement du Québec (résidents du Québec seulement), veuillez nous contacter à quebec@nobleprog.ca
This 4 day course will provide:
- An understanding of the Core AWS services, uses, and basic architecture best practices.
- Proficiency in designing, developing, and deploying cloud-based solutions using AWS.
- Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.
Audience:
Cloud engineers, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, Network administrators , Virtualization administrators.
On Completion of this training programme participants should able to deploy and use AWS services from a Developer standpoint.
21 hours
Общ преглед
Audience:
Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators
Course Objectives:
This course is designed to teach you how to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
- Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
- Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
- Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues
Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators
Course Objectives:
This course is designed to teach you how to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
- Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
- Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
- Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues
14 hours
Общ преглед
DynamoDB is a NoSQL database service offered by AWS as part of the AWS portfolio. It is a key-valued and document based database that delivers fast performance.
This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start integrating data into DynamoDB.
- Integrate DynamoDB into web applications and mobile applications.
- Move data in AWS with AWS services.
- Implement operations with AWS DAX.
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.
This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start integrating data into DynamoDB.
- Integrate DynamoDB into web applications and mobile applications.
- Move data in AWS with AWS services.
- Implement operations with AWS DAX.
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.
21 hours
Общ преглед
On demand AWS Architect Certification training course is designed to help professionals to become cloud-enabled using Amazon Web Services. This course is taught with real life examples, helps participants understand the practical application of concepts such as fundamentals of cloud computing, Amazon Web services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Private Clouds and Cloud programming. After this course participants will be able to have their own implementations on cloud using EC2 instances, S3 buckets etc.
28 hours
Общ преглед
AWS Advanced Architecture refers to the design, setup and deployment of enterprise infrastructure and applications on AWS.
This instructor-led, live training (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.
By the end of this training, participants will be able to:
- Design complex cloud solutions on AWS.
- Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
- Integrate the most appropriate AWS services with an application.
- Migrate a complex software application to AWS.
- Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.
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.
This instructor-led, live training (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.
By the end of this training, participants will be able to:
- Design complex cloud solutions on AWS.
- Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
- Integrate the most appropriate AWS services with an application.
- Migrate a complex software application to AWS.
- Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.
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.
21 hours
Общ преглед
Amazon Web Services (AWS) provides infrastructure for building applications in the cloud. Terraform is a tool for managing that infrastructure. The combination of AWS and Terraform make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
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.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
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.
4 hours
Общ преглед
Summery:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Alerts and events
- Sensor calibration
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Alerts and events
- Sensor calibration
Other countries
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