Amazon Web Services (AWS) Training in Hsinchu

This instructor-led, live training in Hsinchu (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.

By the end of this training, participants will be able to:

• Understand the AI/ML services provided by AWS.
• Be able to set up and manage AI/ML environments on AWS.
• Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to utilize various AWS AI services for specific use cases.

This workshop is designed to prepare candidates for the AWS Certified Solutions Architect exam by aligning exam objectives with practical knowledge and hands-on scenarios.

Led by an instructor, this live training (available online or on-site) targets intermediate to advanced cloud practitioners who aim to solidify their architect-level expertise, practice exam-style questions, and build confidence for certification.

By the end of this training, participants will be able to:

• Map AWS services and architectural patterns to the domains and objectives covered in the exam.
• Design resilient, high-performing, secure, and cost-optimized architectures on AWS.
• Apply best practices from the Well-Architected Framework to real-world scenarios.
• Effectively approach and solve exam-style multiple-choice and scenario questions using strategic methods.
• Identify personal study gaps and create a targeted preparation plan for the certification exam.

Format of the Course

• Interactive lectures that map course content to the official exam blueprint.
• Hands-on lab demonstrations and guided architecture design exercises.
• Timed practice exams, question walkthroughs, and test-taking strategies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Migrating to AWS involves assessing, planning, and transitioning applications, data, and infrastructure from on-premises environments or other cloud platforms into AWS, leveraging well-established tools, patterns, and migration services.

This instructor-led, live training (available online or onsite) is designed for intermediate-level IT professionals and cloud practitioners who aim to plan and execute secure, cost-effective migrations to AWS while minimizing business disruption.

By the end of this training, participants will be able to:

• Evaluate application portfolios and develop migration strategies and phases.
• Utilize AWS discovery tools and migration services (MGN, DMS) for lift-and-shift and data migrations.
• Design network, security, and transfer architectures to support the migration process.
• Execute test cutovers, validate migrated workloads, and implement rollback plans.
• Optimize migrated workloads for cost efficiency, performance, and operational readiness.

Format of the Course

• Interactive lectures and discussions.
• Demonstrations led by the instructor using the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS Migration Essentials is a practical course that covers the essential steps, tools, and best practices for migrating on-premises applications, servers, and databases to AWS.

This instructor-led, live training (available online or onsite) is designed for intermediate-level IT professionals and cloud practitioners who want to assess, plan, execute, and validate migrations to AWS with minimal disruption to business operations.

By the end of this training, participants will be able to:

• Develop a migration strategy and evaluate workloads for cloud readiness using discovery tools and migration frameworks.
• Use AWS Application Migration Service (MGN) to perform lift-and-shift server migrations safely and efficiently.
• Plan and execute database migrations with minimal downtime using AWS Database Migration Service.
• Design network, security, and data transfer architectures to support migration and cutover activities.
• Validate migrated workloads, implement rollback plans, and apply post-migration optimization and cost controls.

Format of the Course

• Interactive lecture and discussion.
• Demonstrations by the instructor in the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS is a comprehensive cloud platform that offers services for computing, storage, networking, monitoring, and automation, supporting robust, scalable, and resilient operations.

This instructor-led, live training (available both online and on-site) is designed for intermediate to advanced-level operations and platform engineers who aim to operate, monitor, automate, and run production workloads on AWS reliably and securely.

By the end of this training, participants will be able to:

• Operate and monitor AWS workloads using CloudWatch, CloudTrail, and best practices for observability.
• Automate infrastructure provisioning and configuration using Infrastructure-as-Code tools like Terraform and AWS CloudFormation.
• Design and operate CI/CD pipelines, deployment strategies, and release automation for cloud services.
• Implement operational security measures, identity controls, and runbook-driven incident response.
• Apply cost management, backup, and disaster recovery practices for production cloud environments.

Format of the Course

• Interactive lectures and discussions.
• Instructor-led demonstrations using the AWS console and CLI.
• Hands-on labs and scenario-based exercises.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS stands for Amazon Web Services, a comprehensive cloud platform that offers a wide range of services including compute, storage, database, networking, analytics, and managed services. These services enable organizations to build scalable and cost-effective solutions.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level business and technical stakeholders who want to gain a deep understanding of core AWS services, the value propositions of cloud computing, cost models, security fundamentals, and how to align AWS capabilities with organizational goals.

By the end of this training, participants will be able to:

• Explain core AWS services and common cloud architectures.
• Evaluate the business benefits and cost models associated with migrating workloads to AWS.
• Identify suitable AWS services for addressing common business challenges (compute, storage, databases, networking, analytics).
• Understand basic security, compliance, and governance considerations in the AWS cloud environment.
• Develop a high-level migration or cloud adoption plan, considering cost and risk factors.

Format of the Course

• Interactive lectures and discussions.
• Demonstrations conducted by the instructor using the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

• For a customized training session tailored to your specific needs, please contact us to arrange.

AWS is Amazon’s cloud computing platform that offers a broad spectrum of services for computing, storage, networking, and application integration.

This instructor-led, live training (available online or on-site) is designed for beginner-level cloud professionals who want to learn the fundamentals of AWS through practical hands-on exercises.

By the end of this training, participants will be able to:

• Grasp cloud computing concepts and understand AWS’s global infrastructure.
• Set up and configure compute, storage, and networking services on AWS.
• Implement IAM policies and adhere to security best practices.
• Integrate various services to build a simple cloud-based web application.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and hands-on practice.
• Practical implementation in a live-lab environment.

Course Customization Options

• For customized training for this course, please contact us to arrange.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at advanced-level cloud professionals who wish to master cloud infrastructure management and automation using AWS Cloud9 and AWS CDK.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for infrastructure management.
• Understand and apply AWS CDK to automate cloud resource provisioning.
• Design efficient and scalable cloud infrastructure solutions.
• Optimize cloud resources to improve performance and reduce costs.
• Implement advanced security and compliance strategies in AWS infrastructure.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at intermediate-level developers who wish to master building and deploying microservices with AWS Cloud9 and other AWS services.

By the end of this training, participants will be able to:

• Understand microservices architecture and its benefits.
• Set up a microservices development environment on AWS Cloud9.
• Build, test, and deploy microservices using Docker and AWS services.
• Integrate AWS Lambda, ECS, and API Gateway with microservices.
• Apply DevOps practices to manage microservices deployments.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

By the end of this training, participants will be able to:

• Set up a data science environment in AWS Cloud9.
• Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
• Utilize AWS Cloud9 for machine learning model development and deployment.
• Optimize cloud-based workflows for data analysis and processing.

AWS Cloud Practitioner Essentials is a foundational course designed to provide participants with a comprehensive understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to gain a conceptual understanding of AWS and build a solid foundation for future AWS learning or certification.

By the end of this training, participants will be able to:

• Describe the fundamental global infrastructure of the AWS Cloud.
• Explain key AWS services and their typical use cases.
• Understand cloud security and compliance within the context of AWS.
• Navigate through pricing models and support plans.

Format of the Course

• Interactive lectures and discussions.
• Hands-on use of the AWS Console in guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request a customized training for this course based on your organization’s learning goals or cloud strategy, please contact us to arrange.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at beginner-level developers who wish to set up and use AWS Cloud9 for cloud-based projects.

By the end of this training, participants will be able to:

• Understand the AWS Cloud9 environment and its components.
• Set up their own AWS Cloud9 development workspace.
• Develop and run simple applications within AWS Cloud9.
• Familiarize themselves with the collaboration features of AWS Cloud9.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at beginner-level to intermediate-level system administrators and IT professionals who wish to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam.

By the end of this training, participants will be able to:

• Set up and configure AWS services and resources securely.
• Manage user identities, permissions, and access to AWS resources.
• Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
• Implement and manage data flow to and from AWS.
• Optimize AWS service usage to ensure efficient operation and cost management.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn how to conduct an AWS security audit effectively and efficiently.

By the end of this training, participants will be able to:

• Understand the core concepts and benefits of AWS security audit.
• Use AWS tools and services to perform an AWS security audit.
• Analyze and interpret the audit results and recommendations.
• Implement the audit findings and remediate the issues.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at intermediate-level cloud architects and developers who wish to gain the knowledge and tools necessary to efficiently manage and optimize AWS costs, aligning cloud spending with business objectives.

By the end of this training, participants will be able to:

• 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.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at intermediate-level to advanced-level full-stack developers who wish to utilize AWS Cloud9 to streamline their development workflows.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for full-stack development.
• Develop and debug front-end applications using Cloud9.
• Build and deploy back-end services using AWS Cloud9.
• Integrate Cloud9 with AWS services for advanced deployments.
• Collaborate with team members in a cloud-based development environment.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and skills required to secure Amazon Web Services (AWS) environments effectively.

By the end of this training, participants will be able to:

• 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.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at developers who wish to build serverless applications using services in the AWS serverless platform.

By the end of this training, participants will be able to:

• 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.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

By the end of this training, participants will be able to:

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for performance and cost efficiency.

EKS is a self-managed Kubernetes-as-a-service offering from AWS. It is fully scalable and customizable, allowing a Kubernetes deployment to either mimic 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 the 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 for efficient EKS management

Audience

• Developers
• System Administrators
• DevOps Engineers

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice in a live-lab environment.

Note

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in (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 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.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem.

By the end of this training, participants will be able to:

• Implement CloudFormation templates to automate infrastructure management.
• Integrate existing AWS resources into CloudFormation.
• Use StackSets to manage stacks across multiple accounts and regions.

Amazon Redshift is a cloud-based data warehouse service in AWS that can handle petabyte-scale data.

In this instructor-led, live training, participants will gain an understanding of the fundamentals of Amazon Redshift.

By the end of this training, participants will be able to:

• Set up and configure Amazon Redshift
• Efficiently load, manage, query, and visualize data using Amazon Redshift

Audience

• Developers
• IT Professionals

Format of the course

• Combination of lecture, discussion, practical exercises, and extensive hands-on practice

Note

• To request a customized training session for this course, please contact us to arrange.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.

This instructor-led, live training in Hsinchu (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.

The on-demand AWS Architect Certification training course is tailored to assist professionals in becoming proficient with Amazon Web Services, enabling them to leverage the cloud effectively. This course uses real-life examples to help participants grasp the practical application of key concepts, including the 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. Upon completion, participants will be equipped to implement their own cloud solutions using EC2 instances, S3 buckets, and other AWS resources.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient updating of applications and infrastructures.

By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.

This instructor-led, live training in Hsinchu (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.

Audience:

This course is tailored for cloud engineers, solution architects, centre of excellence teams, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Course Objectives:

The primary goal of this course is to equip you with the skills to:

• Apply the fundamental concepts and best practices associated with the DevOps methodology
• Create and manage an AWS infrastructure that supports multiple DevOps development projects
• Leverage AWS CloudFormation and AWS OpsWorks to deploy the necessary infrastructure for setting up development, testing, and production environments in a software development project
• Utilize AWS CodeCommit and explore various options for establishing a Continuous Integration environment on AWS
• Design and implement a Continuous Integration and Delivery pipeline using AWS CodePipeline
• Implement common Continuous Deployment scenarios with AWS technologies, such as blue/green deployment and A/B testing
• Differentiate between the range of application deployment solutions available on AWS (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and select the most suitable technology for a specific scenario
• Optimize applications deployed on AWS for high performance and use AWS tools to monitor and address potential issues in your application and environment

This 4-day course will cover:

• An understanding of the core AWS services, their applications, and fundamental architecture best practices.
• The ability to design, develop, and deploy cloud-based solutions using AWS.
• Hands-on experience in developing and maintaining applications utilizing 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:

This course is designed for cloud engineers, members of the centre of excellence team, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Upon completion of this training program, participants will be able to deploy and use AWS services from a developer's perspective.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploying and scaling 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.

This instructor-led, live training in Hsinchu (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.

This instructor-led, live training in Hsinchu (onsite or remote) 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.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

This instructor-led, live training in Hsinchu (onsite or remote) 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.

This instructor-led, live training in Hsinchu 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.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.

By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at data scientists and developers who wish to create and train machine learning models for deployment into production-ready hosting environments.

By the end of this training, participants will be able to:

• 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.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at technical persons who wish to understand AWS products and services so as to make an informed decision about how to implement AWS cloud solutions within their organization.

By the end of this training, participants will be able to:

• 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.

This instructor-led, live training in Hsinchu (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 AWS CloudFormation Templates using YAML.

Summary:

• Overview of the fundamental architecture and functionalities of IoT
• Understanding "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Key components of IoT software, including hardware, firmware, middleware, cloud, and mobile applications
• IoT functionalities such as fleet management, data visualization, SaaS-based fleet management and data visualization, alerts/alarms, sensor onboarding, device onboarding, and geo-fencing
• Basic principles of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS through MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and data storage using DynamoDB
• Linking a Raspberry PI to AWS IoT Core for simple data transmission
• Practical hands-on experience with Raspberry PI and AWS IoT Core to develop a smart device
• Data visualization from sensors and communication through a web interface

This instructor-led, live training in Hsinchu (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.

This instructor-led, live training in (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.