
Online or onsite, instructor-led live AWS (Amazon Web Services) training courses demonstrate through interactive hands-on practice the fundamentals and advanced concepts of AWS.
AWS training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Amazon Web Services (AWS) trainings in Singapore can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
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
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
The trainer knew exactly what they were speaking about.
Madumetsa Msomi - BMW
Course: AWS DevOps Engineers
Hands-on labs
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
It provided context for the things we do in AWS.
MDA Systems Ltd.
Course: AWS Developer Associate
I Liked how much content we got.
Vodacom SA
Course: Kubernetes on AWS
The training was more practical
Siphokazi Biyana - Vodacom SA
Course: Kubernetes on AWS
I loved unpacking the raw power of aws and kubernetes together -in just a few commands so much useful kubernetes behavior can be configured and oprationalised. The trainer was extremely knowledgeable
Vodacom SA
Course: Kubernetes on AWS
Exercises sheet
Simon Earp, Global Knowledge Network Training Ltd
Course: Terraform on AWS
Good knowledge of the subject and learned some fundamentals
Barry Halper - Department for Levelling Up, Housing and Communities
Course: Terraform on AWS
Free atmosphere and agenda flexibility
Marcin Prewo - GE Medical Systems Polska Sp. Z O.O.
Course: AWS Lambda for Developers
All good, nothing to improve
Ievgen Vinchyk - GE Medical Systems Polska Sp. Z O.O.
Course: AWS Lambda for Developers
Great balance between theory and practice Ability to try every single subject in the real environment
GE Medical Systems Polska Sp. Z O.O.
Course: AWS Lambda for Developers
AWS (Amazon Web Services) Subcategories in Singapore
Amazon Web Services Course Outlines in Singapore
- Understand how AWS pricing works and how different services contribute to overall costs.
- Learn how to implement cost-saving measures, utilize reserved instances, and optimize resource usage.
- Develop skills to create, manage, and adhere to budgets within the AWS framework.
- Understand the core concepts of AWS Cloud Security and its importance in a cloud environment.
- Implement effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
- Define and enforce security policies and monitor AWS resources.
- Implement event-driven best practices in designing serverless applications using appropriate AWS services.
- Build serverless applications using AWS services.
- Monitor, secure, and scale serverless applications on AWS.
- Utilize different developer tools to configure and automate serverless application deployment.
- Create and maintain a list of serverless resources that will aid in serverless application development.
- 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
- Developers
- System Administrators
- DevOps Engineers
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
- Set up a development environment that includes all needed libraries, packages and frameworks needed 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.
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
- Developers
- IT Professionals
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
- 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.
- 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
- 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.
- 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.
- 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.
- Evaluate and prepare the on-premise environment for AWS Outposts setup and installation.
- Configure an Outpost based on the suitable memory and storage options for the enterprise.
- Adjust to AWS cloud architecture and familiarize with the interface of AWS Outposts.
- Utilize the primary tools and features of an Outpost for big data processing and development implementations.
- Execute more flexible and seamless management methods within the organization.
- 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.
- Use notebook instances to prepare and upload data for training.
- Train machine learning models using training datasets.
- Deploy trained models to an endpoint to create predictions.
- Identify and understand the role of each of the services offered by AWS.
- Understand the terminology and concepts related to AWS.
- Navigate the AWS Management Console.
- Set up and manage team user accounts securely.
- Match AWS's services to an organization's problem and requirements.
- Make informed decisions about which AWS services to implement.
- Plan out a broad cloud solution strategy for an organization.
- 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.
- 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.
- 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.
- Collaboratively develop functions, 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 functions and applications.
- 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.
- 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.
- Implement CloudFormation templates to automate infrastructure management.
- Integrate existing AWS resources into CloudFormation.
- Use StackSets to manage stacks across multiple accounts and regions.
- 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 AWS CloudFormation Templates using YAML.
- 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.
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