AWS Advanced Architecture Training Course

This instructor-led, live training in Australia (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 Australia (online or onsite) is designed for beginner to intermediate-level system administrators and IT professionals seeking hands-on experience in managing AWS cloud services while preparing for the AWS Certified SysOps Administrator - Associate exam.

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

• Securely set up and configure AWS services and resources.
• 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 Australia (online or onsite) is designed for intermediate-level IT professionals keen 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 offered by AWS.
• 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 designed to empower professionals to leverage cloud capabilities through Amazon Web Services. Delivered with real-world examples, the program helps participants grasp 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 (Amazon Web Services) is a comprehensive cloud platform providing compute, storage, database, networking, analytics, and managed services, enabling organisations to build scalable and cost-effective solutions.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate business and technical stakeholders who wish to understand core AWS services, cloud value propositions, cost models, security fundamentals, and how to align AWS capabilities with organisational objectives.

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

• Explain core AWS services and common cloud architectures.
• Assess the business benefits and cost models of migrating workloads to AWS.
• Identify appropriate AWS services for common business problems (compute, storage, databases, networking, analytics).
• Recognise basic security, compliance, and governance considerations in the AWS cloud.
• Outline a simple migration or cloud adoption plan with high-level cost and risk considerations.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

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

This instructor-led, live training in Australia (online or onsite) is designed for beginner-level developers looking to set up and utilise AWS Cloud9 for cloud-based projects.

Upon completing this training, participants will be able to:

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

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

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

• Understand the fundamental concepts of AWS Cloud Security and its critical role 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 Australia (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 Australia (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 Australia (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 Australia (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 Australia (online or onsite) is designed for intermediate-level professionals seeking to learn how to effectively construct, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Grasp 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:

• Gaining a solid understanding of IoT architecture and its core functions.
• Exploring the concepts of "Things" and "Sensors," the Internet of Things (IoT), and how to map business requirements to effective IoT solutions.
• A thorough overview of IoT software components, including hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Key IoT functions covered: fleet management, data visualization, SaaS-based facility management and data visualization, alerting and alarm systems, onboarding of sensors and "things," and geo-fencing.
• Foundational knowledge of IoT device-to-cloud communication using the MQTT protocol.
• Connecting IoT devices to AWS via MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Connecting a Raspberry Pi to AWS IoT Core to enable seamless data communication.
• Practical lab exercise: constructing a smart device using a Raspberry Pi and AWS IoT Core.
• Sensor data visualization and establishing web interface communication.