Amazon S3 Fundamentals Training Course

This instructor-led, live training in Vietnam (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 Vietnam (online or onsite) is designed for cloud engineers who want to understand and implement complex AWS architectural concepts. The course covers many of the same topics as those found in AWS Certified Solutions Architect (Professional) level courses. However, it is NOT intended to prepare participants for an exam. Instead, this is a hands-on, practical course that demonstrates how to execute many of the configurations, implementations, and deployments required by an AWS Solutions Architect within a live lab environment.

Upon completing this training, participants will be able to:

• Design complex cloud solutions on AWS.
• Deploy scalable, highly available, and fault-tolerant software applications on AWS.
• Integrate the most appropriate AWS services with an application.
• Migrate complex software applications to AWS.
• Apply best practices to the design, implementation, optimization, and deployment of infrastructure and applications on AWS.

This instructor-led live training in Vietnam (online or onsite) is designed for intermediate-level IT professionals seeking to learn how to leverage AWS tools and services for the efficient development, training, and deployment of AI models.

By the conclusion 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 on-demand AWS Architect Certification training program is tailored to empower professionals with cloud capabilities through Amazon Web Services (AWS). Delivered with real-world examples, the course helps participants grasp the practical application of key concepts including cloud computing fundamentals, AWS, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Private Clouds, and cloud programming. Upon completion, learners will be equipped to implement their own cloud solutions using services like EC2 instances and S3 buckets.

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

This instructor-led live training, available both online and on-site, targets beginner to intermediate business and technical stakeholders. The goal is to help participants grasp core AWS services, cloud value propositions, pricing models, fundamental security concepts, and strategies for aligning AWS capabilities with organizational goals.

Upon completing this training, participants will be able to:

• Describe key AWS services and standard cloud architectures.
• Evaluate the business advantages and cost implications of migrating workloads to AWS.
• Select suitable AWS services for common business challenges across compute, storage, databases, networking, and analytics.
• Identify essential security, compliance, and governance factors within the AWS environment.
• Develop a high-level cloud adoption or migration plan that considers cost and risk.

Course Format

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

Customization Options

• For tailored training requirements, please contact us to arrange a customized session.

This instructor-led live session in Vietnam (available online or on-site) targets beginner-level developers aiming to configure and leverage AWS Cloud9 for cloud-based projects.

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

• Comprehend the AWS Cloud9 environment and its constituent parts.
• Create their own AWS Cloud9 development workspace.
• Develop and execute simple applications inside AWS Cloud9.
• Become familiar with AWS Cloud9's collaboration capabilities.

This instructor-led, live training in Vietnam (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 Vietnam (online or onsite) is designed for intermediate-level Python developers seeking to enhance their development experience with AWS Cloud9.

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

• Configure and set up AWS Cloud9 for Python projects.
• Navigate the AWS Cloud9 IDE interface and utilize its key features.
• Create, debug, and deploy Python applications within AWS Cloud9.
• Work collaboratively with other developers on the AWS Cloud9 platform.
• Connect AWS Cloud9 with additional AWS services to facilitate advanced deployment strategies.

This instructor-led live training in Vietnam (online or onsite) is designed for beginner to intermediate IT professionals seeking to develop the expertise needed to effectively secure Amazon Web Services (AWS) environments.

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

• Comprehend the foundational concepts of AWS Cloud Security and their critical role in cloud infrastructure.
• Implement effective access controls, authentication methods, and multi-factor authentication to secure AWS resources.
• Define and enforce security policies while monitoring AWS resources.

This instructor-led, live training in Vietnam (onsite or remote) is designed for engineers who want to deploy and manage IoT devices on AWS.

Upon completion, participants will be able to build an IoT platform that includes deploying and managing a backend, gateway, and devices on top of AWS.

This instructor-led live training in Vietnam (online or onsite) is designed for 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 Vietnam (onsite or remote) is designed for developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without worrying about provisioning the execution environment (servers, VMs, 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 Vietnam (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 Vietnam (online or onsite) targets intermediate-level professionals who want 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.

Summary:

• Gaining a solid understanding of IoT architecture and its fundamental operations.
• Investigating the concepts of "Things" and "Sensors," exploring the Internet of Things ecosystem, and mapping business requirements to effective IoT solutions.
• Reviewing the complete stack of IoT software components, including hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Examining critical IoT functions: fleet management, data visualization, SaaS-based facility management and data visualization, alert and alarm systems, onboarding sensors and devices, and geo-fencing capabilities.
• Learning the basics of device-to-cloud communication utilizing MQTT protocol.
• Connecting IoT devices to AWS infrastructure via MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for scalable data storage.
• Establishing connectivity between a Raspberry Pi and AWS IoT Core to enable seamless data exchange.
• Participating in a practical lab session: constructing a smart device using Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and communicating through web interfaces.