AWS Advanced Architecture Training Course

This instructor-led, live training in Taiwan (online or on-site) is designed for cloud engineers and developers who want to leverage CloudFormation to manage infrastructure resources within the AWS ecosystem.

Upon completing this training, participants will be able to:

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

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.

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

Upon completing this training, participants will be able to:

• Gain a comprehensive understanding of the AI/ML services offered by AWS.
• Effectively set up and manage AI/ML environments on AWS.
• Acquire practical experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to apply various AWS AI services to address specific business use cases.

The on-demand AWS Architect Certification training course is crafted to equip professionals with the skills needed to leverage Amazon Web Services for cloud enablement. Through real-world examples, the course helps participants grasp the practical application of key concepts, including cloud computing fundamentals, 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 capable of implementing cloud solutions using EC2 instances, S3 buckets, and other AWS resources.

Amazon Web Services (AWS) is a comprehensive cloud computing platform that provides compute, storage, database, networking, analytics, and managed services, empowering organizations to develop scalable and cost-efficient solutions.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate business and technical stakeholders who aim to understand fundamental AWS services, cloud value propositions, pricing models, essential security concepts, and how to align AWS capabilities with organizational goals.

Upon completion of this training, participants will be able to:

• Describe core AWS services and common cloud architectures.
• Evaluate the business advantages and cost structures associated with migrating workloads to AWS.
• Identify suitable AWS services for typical business challenges across compute, storage, databases, networking, and analytics.
• Recognize fundamental security, compliance, and governance considerations within the AWS cloud environment.
• Draft a basic migration or cloud adoption plan incorporating high-level cost and risk assessments.

Course Format

• Interactive lectures and discussions.
• Instructor-led demonstrations using the AWS console.
• Group exercises and scenario-based workshops.

Customization Options

• To request a customized version of this course, please contact us to make arrangements.

This instructor-led live training in Taiwan (online or on-site) is designed for beginner developers who want to set up and utilize AWS Cloud9 for cloud-based projects.

Upon completion of this training, participants will be able to:

• Comprehend the AWS Cloud9 environment and its core components.
• Establish their own AWS Cloud9 development workspace.
• Create and execute simple applications within AWS Cloud9.
• Familiarize themselves with the collaboration features of AWS Cloud9.

This instructor-led, live training in Taiwan (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.

This instructor-led, live training in Taiwan (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 Taiwan (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 Taiwan (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 Taiwan (online or onsite) is designed for advanced professionals seeking to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

Upon completion of this training, participants will be capable of:

• Setting up and configuring AWS Cloud9 for DevOps workflows.
• Implementing continuous integration and continuous delivery (CI/CD) pipelines.
• Automating testing, monitoring, and deployment processes using AWS Cloud9.
• Integrating AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Leveraging source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level professionals aiming 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:

• Comprehend the fundamental principles of serverless architecture.
• Configure 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 both performance and cost-efficiency.

Summary:

• Foundations of IoT architecture and its core functions
• Understanding "Things," "Sensors," internet connectivity, and mapping IoT to business functions
• Essential software components of IoT: hardware, firmware, middleware, cloud, and mobile applications
• Key IoT functions: fleet management, data visualization, SaaS-based facility management and data visualization, alerts/alarms, sensor onboarding, "thing" registration, and geo-fencing
• Basics of IoT device-to-cloud communication using MQTT
• Connecting IoT devices to AWS via MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and DynamoDB for data storage
• Connecting Raspberry Pi to AWS IoT Core for straightforward data communication
• Hands-on experience with Raspberry Pi and AWS IoT Core to construct a smart device
• Sensor data visualization and web interface communication