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Machine Learning Engineer
This three-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloud-based, cloud-native architectures; and applying the tenets of the Twelve-Factor Application methodology.
Day 1
Module 1: The cloud journey
- Common off-cloud architecture
- Introduction to Cloud Air
- Monolithic architecture
- Migration to the cloud
- Guardrails
- The six Rs of migration
- The Twelve-Factor Application Methodology
- Architectural styles and patterns
- Overview of AWS Services
- Interfacing with AWS Services
- Authentication
- Infrastructure as code and Elastic Beanstalk
- Demo: Walk through creating base infrastructure with AWS CloudFormation in the AWS console
- Hands-on lab: Deploy your monolith application using AWS Elastic Beanstalk
Module 2: Gaining Agility
- DevOps
- CI/CD
- Application configuration
- Secrets management
- CI/CD Services in AWS
- Demo: AWS Secrets Manager
Day 2
Module 3: Monolith to MicroServices
- Microservices
- Serverless
- A look at Cloud Air
- Microservices using Lambda and API Gateway
- SAM
- Strangling the Monolith
- Hands-on lab: Using AWS Lambda to develop microservices
Module 4: Polyglot Persistence & Distributed Complexity
- Polyglot persistence
- DynamoDB best practices
- Distributed complexity
- Step functions
Day 3
Module 5: Resilience and Scale
- Decentralized data stores
- Amazon SQS
- Amazon SNS
- Amazon Kinesis Streams
- AWS IoT Message Broker
- Serverless event bus
- Event sourcing and CQRS
- Designing for resilience in the cloud
- Hands-on lab: Exploring the AWS messaging options
Module 6: Security and Observability
- Serverless Compute with AWS Lambda
- Authentication with Amazon Cognito
- Debugging and traceability
- Hands-on lab: Developing microservices on AWS
- Hands-on lab: Automating deployments with Cloud Formation
- Analyzing a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services
- Applying Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture
- Recommending the appropriate AWS services to develop a microservices based cloud native application
- Using the AWS API, CLI, and SDKs to monitor and manage AWS services
- Migrating a monolithic application to a microservices application using the 6 Rs of migration
- Explaining the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS
This course is delivered through a mix of classroom training and labs.
Note: A laptop is required in order to complete technical lab exercises; tablets are not appropriate.
This course is intended for the following job roles:
- Developer
- DevOps
We recommend that attendees of this course have attended the following course (or equivalent knowlege): Developing Serverless Solutions on AWS
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