Training

• Understand the best practices that will set your AWS organisation up for security, compliance and productivity
• Establish secure and easy-to-understand methods of providing AWS access to multiple users and groups
• Get off on the right foot with a secure, scalable and performant network that integrates into existing networks and other AWS accounts
• Understand security considerations and tooling to stay on top of threats and breaches
• Know how to establish configuration management to get oversight of all AWS resources and use CloudTrail to monitor and query changes to infrastructure

• AWS Organisations
• SSO
• VPCs
• Multi-account networking
• Auditing with CloudTrail
• Security fundamentals
• Compliance rules

• Know how to create entire applications using Infrastructure as Code
• Understand Terraform, and CloudFormation, where to use both and how to manage them in a consistent, modular way
• Putting observability into every application on AWS and using AWS services to monitor, troubleshoot and prevent issues including cost and billing issues!
• Establish good practices for managing credentials with SSO, IAM, cross-account access and elevated privileges
• Understand the trade-offs between AWS native CI/CD services and GitHub Actions or other third-party services

• Working with multiple accounts and environments
• Infrastructure as Code – CloudFormation and Terraform
• Identity and Access Management (IAM), how it works and how to make it work for productive development
• Managing credentials for productivity without compromising security
• Observability with CloudWatch Logs, Alarms, Metrics and Insights
• Cost management; tagging, cost explorer and budgets
• CI/CD: GitHub Actions with AWS, CodeBuild and CodePipeline
• Development tooling

• Prepare developers for full-stack serverless development with JavaScript/TypeScript on AWS
• Be able to understand and contribute to frontend (React), backend (Node.js) and cloud deployments (AWS with CDK)
• Understand Node.js/JavaScript ecosystems, tooling and development best practices
• Get people comfortable with the fundamentals and make them able to continue the journey on their own

See what the NN Group have to say about this training.

• JavaScript and TypeScript
• Node.js tooling and ecosystem
• Callbacks, Promises and async/await
• Serverless development on AWS
• AWS CDK and SAM
• Lambda
• API Gateway
• DynamoDB
• SQS
• SNS
• EventBridge
• Troubleshooting with CloudWatch Logs Insights
• Testing
• Frontend development with React
• Building an example e-commerce application

• Gain an in-depth understanding of all the key AWS services for sending events within and across applications
• Understand constraints, performance and delivery semantics for every service
• Know how to integrate services like SQS, SNS, EventBridge and Kinesis to other AWS services, including S3, Lambda, Step Functions, EC2 and ECS
• Understand how to build a cross-domain event backbone for your organisation and how to resist tight coupling while building consistency and maintainability into your message flows
• Get comfortable tracing and tracking missing or failed events in development or production workflows

• Message and event patterns
• Event buses, pub/sub and point-to-point channels
• Performance characteristics, delivery guarantees and limits
• Error handling, monitoring, dead letter queues and redelivery
• SQS
• SNS
• EventBridge
• Kinesis
• Kafka and MSK
• Creating a cross-account event backbone
• Internal application events
• Event structure, schemas and validation
• Integrating events to other AWS services
• Logging, monitoring and troubleshooting for event-driven applications

• Get a deep understanding of the key AWS services used for data storage, querying and transformation
• Understand which service is best suited to each scenario
• Understand the cost implications of a real-time v batch ETL job
• Know how to integrate services like S3, Glue, Lambda, Step Functions and Athena to create an end-to-end data platform
• Create dashboards and Machine Learning models

• Creating a Data lakehouse on Amazon S3 (storage)
• AWS Athena for querying data in the Data Lakehouse
• Using AWS Glue for event-based ETL
• Data ingestion using batch (upload to S3 / SFTP) and real-time (API Gateway, Transfer Family, Lambda)
• Build a scheduled task to move data from an on-premise database to AWS.
• Building dashboards using Power B.I. or Quicksight
• ETL pipelines using AWS Step Functions.
• Alerting, monitoring and observability of workloads
• Using AWS managed A.I. services
• Creating and deploying machine-learning models