Amazon S3 Fundamentals Training Course

This instructor-led, live training in Malaysia (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 Malaysia (online or onsite) is designed for cloud engineers who wish to understand and implement the more complex aspects of AWS architecture. The course covers many topics similar to those in AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants for an exam. It 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.

This instructor-led, live training in Malaysia (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.

The on-demand AWS Architect Certification training course is crafted to empower professionals with the skills needed to leverage Amazon Web Services for cloud enablement. Delivered through real-life examples, this program aids participants in grasping the practical application of core 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 equipped to implement their own cloud solutions using services such as EC2 instances and S3 buckets.

AWS, or 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 either online or onsite, is designed for beginner to intermediate business and technical stakeholders. The goal is to help participants grasp core AWS services, the value proposition of the cloud, cost structures, foundational security concepts, and how to align AWS capabilities with organizational goals.

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

• Describe key AWS services and common cloud architectures.
• Evaluate the business advantages and cost implications of migrating workloads to AWS.
• Select suitable AWS services for typical business challenges, including compute, storage, databases, networking, and analytics.
• Identify fundamental aspects of security, compliance, and governance within the AWS cloud.
• Draft a high-level migration or cloud adoption strategy, taking into account cost and risk factors.

Course Format

• Interactive lectures and discussions.
• Live demonstrations of the AWS console led by the instructor.
• Group activities and scenario-based workshops.

Customization Options

• For information on arranging customized training for this course, please reach out to us.

This instructor-led live training in Malaysia (online or onsite) is designed for novice developers eager to configure and utilise AWS Cloud9 for their cloud-based initiatives.

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

• Grasp the AWS Cloud9 environment and its key components.
• Establish their own AWS Cloud9 development workspace.
• Build and execute simple applications within AWS Cloud9.
• Become acquainted with AWS Cloud9’s collaboration capabilities.

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

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

• Grasp the fundamental concepts of AWS Cloud Security and appreciate its significance within a cloud environment.
• Implement robust access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
• Define and enforce security policies while monitoring AWS resources.

This instructor-led, live training in Malaysia (onsite or remote) is designed for 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 Malaysia (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 Malaysia (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 and containers, availability, scalability, storage, etc.).

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

• Configure AWS Lambda to execute a function.
• Comprehend FaaS (Functions as a Service) and the benefits of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in Malaysia (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 Malaysia (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.

Summary:

• Gaining a clear understanding of IoT architecture and its fundamental functions.
• Exploring the concepts of "Things" and "Sensors" within the Internet of Things, and learning how to map business functions to effective IoT solutions.
• Reviewing the comprehensive landscape of IoT software components, including hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Examining key IoT functionalities such as fleet management, data visualization, SaaS-based Facility Management (FM) and Data Visualization (DV), alerting and alarm systems, sensor and device onboarding, and geo-fencing.
• Learning the fundamentals of IoT device-to-cloud communication via MQTT.
• Connecting IoT devices to AWS using MQTT through AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Establishing a connection between a Raspberry Pi and AWS IoT Core to enable seamless data communication.
• Participating in a hands-on lab session to construct a smart device using a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and communicating with the web interface.