AWS Industry Quest: Manufacturing and Automotive is an interactive game-based learning experience to help individuals and organizations develop cloud skills needed to build solutions for the manufacturing and automotive industry.
How does it work?
Players take over a virtual factory and transform it into an industry leader by completing solution building exercises to increase key performance indicators (KPIs).
Learners choose from a list of solutions common to both manufacturing and automotive industries, such as virtual prototyping with CAD tools, robotics data visualization, converting industrial protocols at the edge, and predictive maintenance using no-code tool. Learners will build solutions with guidance using the AWS Console, then apply what they have learned in a do-it-yourself challenge. Players will acquire hands-on skills that empower them to deploy similar solutions in real-life.
As the factory's KPIs grow, the industrial equipment can be upgraded and new furniture and decor is unlocked for office customization.
Earn a verifiable AWS digital badge!
You can earn a digital badge for completing all the assignments available in the game. The AWS Industry Quest: Manufacturing and Auto badge let's you demonstrate your industry solution building knowledge to your peers, recruiters, and potential employers.
Subscribe to AWS Skill Builder with an Individual or Team subscription, and start your learning journey to boost your virtual factory to premier status!
Solution Building Assignments in AWS Industry Quest: Automotive and Manufacturing
Automated Deployment Pipeline for IoT Devices  AWS IoT, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit Best Practices for Manufacturing OT Security  AWS Backup, AWS Systems Manager, Amazon EC2, AWS IoT Greengrass, Amazon S3, AWS IoT Connected Vehicles Telemetry AWS Lambda, AWS IoT, Amazon Kinesis, Amazon Managed Grafana, Amazon Timestream Contextualizing Industrial Equipment Data AWS IoT SiteWise, Amazon S3, Amazon EC2 Converting Industrial Protocols at the Edge AWS IoT Greengrass, AWS IoT, AWS Cloud9 Defect Detection for Manufacturing Amazon EC2, AWS Identity and Access Management (IAM), Amazon Lookout for Vision, AWS IoT Greengrass, Amazon S3 Detecting Abnormal Equipment Behavior AWS IoT, AWS Lambda, Amazon DynamoDB, Amazon S3, Amazon Lookout for Equipment Digital Personalization for Auto Dealer Clients Amazon EC2, Amazon Relational Database Service (RDS), AWS Identity and Access Management (IAM) ETL at the Edge Amazon S3, AWS IoT Greengrass, AWS IoT, Amazon Kinesis Industrial Personnel and Hazard Tracking Amazon Timestream, AWS Lambda, AWS Amplify, Amazon Cognito, AWS IoT, Amazon SQS, Amazon API Gateway, Amazon Location Service OTA Updates in Edge Devices AWS IoT Greengrass, Amazon EC2, Amazon S3 Real-Time Anomalies Data Lake Amazon S3, Amazon Kinesis, AWS Cloud9, Amazon Redshift, AWS IoT Robotics Data Visualization AWS Lambda, Amazon S3, Elastic Load Balancing (ELB), Amazon DynamoDB, Amazon Elastic Container Service Software-Defined Vehicle Data Collection AWS Lambda, Amazon SNS, AWS IoT FleetWise, Amazon Timestream, AWS IoT Supply Chain Automation Using IoT Amazon Location Service, Amazon Relational Database Service (RDS), AWS Lambda, AWS IoT, Amazon SES, Amazon EventBridge, Amazon QuickSight Sustainability Reporting AWS Lambda, Amazon API Gateway, AWS IoT Using a Digital Shadow of a Connected Vehicle AWS IoT Greengrass, AWS IoT, AWS Cloud9 Predictive Maintenance Using No-Code Tools AWS IoT, Amazon SageMaker, Amazon QuickSight, Amazon S3, AWS Glue
