AWS Advanced Architecture Training Course

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

By the conclusion 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 petabyte-scale, cloud-based data warehouse service available on AWS.

In this instructor-led, live training, participants will explore 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 visualise data using Amazon Redshift

Audience

• Developers
• IT Professionals

Course Format

• A blend of lecture, discussion, exercises, and extensive hands-on practice

Note

• To request a customised training session for this course, please contact us to make arrangements.

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

By the conclusion 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.
• Optimise AWS service usage to ensure efficient operations and effective cost management.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level IT professionals who want to learn how to use AWS tools and services to efficiently build, train, and deploy AI models.

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

• Understand the AI/ML services provided 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 how to use various AWS AI services for specific use cases.

This on-demand AWS Architect Certification training course is designed to help professionals become cloud-enabled using Amazon Web Services. Taught with real-life examples, the course enables participants to understand 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 able to implement their own cloud solutions using EC2 instances, S3 buckets, and other AWS services.

AWS stands for Amazon Web Services, a comprehensive cloud platform that provides 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 on-site) is designed for beginner to intermediate-level business and technical stakeholders who wish to gain a clear understanding of core AWS services, the value proposition of the cloud, cost models, fundamental security principles, 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 implications of migrating workloads to AWS.
• Identify the most appropriate AWS services for common business challenges across compute, storage, databases, networking, and analytics.
• Recognise fundamental security, compliance, and governance considerations within the AWS cloud.
• Outline a straightforward migration or cloud adoption plan, including high-level cost and risk considerations.

Course Format

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

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This instructor-led, live training in New Zealand (online or onsite) is designed for 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.
• Familiarise themselves with the collaboration features of AWS Cloud9.

This instructor-led, live training in New Zealand (online or on-site) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 to streamline their 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 such as S3, RDS, and Redshift.
• Use AWS Cloud9 for developing and deploying machine learning models.
• Optimise cloud-based workflows for data analysis and processing.

This instructor-led, live training in New Zealand (on-site 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 AWS.

This instructor-led, live training in New Zealand (online or on-site) is designed for developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to build applications for a variety of 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 New Zealand (on-site or remote) is designed for developers who wish to leverage AWS Lambda to build and deploy services and applications to the cloud, without concerning themselves with provisioning the execution environment (servers, virtual machines, containers, availability, scalability, storage, and so on).

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

• Configure AWS Lambda to execute a function.
• Understand 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 New Zealand (available online or on-site) is designed for advanced-level professionals seeking 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.
• Utilise source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for 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.
• Optimise serverless applications for performance and cost efficiency.

Overview:

• Foundations of IoT architecture and core functions
• Understanding 'Things', 'Sensors', the Internet, and how they align with business functions
• Essential components of IoT software stacks: hardware, firmware, middleware, cloud, and mobile applications
• Key IoT capabilities: fleet management, data visualisation, SaaS-based fleet management and visualisation, alerting and alarms, sensor onboarding, 'thing' onboarding, and geo-fencing
• Basics of IoT device communication with the cloud using MQTT.
• Connecting IoT devices to AWS via MQTT (AWS IoT Core).
• Integrating AWS IoT Core with AWS Lambda for computation and storing data in DynamoDB.
• Connecting Raspberry Pi to AWS IoT Core for simple data exchange.
• Practical workshop: building a smart device using Raspberry Pi and AWS IoT Core.
• Visualising sensor data and enabling communication via a web interface.