Amazon Q Developer for Information Technology
Architect, Automate & Operate Advanced AWS Environments with AI
Programme Objectives
- Develop advanced expertise in using Amazon Q Developer to design, build, troubleshoot, secure, modernise, and operate AWS-based IT environments.
- Architect reusable AI-assisted workflows across application development, infrastructure management, incident response, cloud operations, and technical documentation.
- Integrate Amazon Q Developer with IDE, CLI, AWS Console, MCP, infrastructure-as-code, and collaboration workflows.
- Automate and optimise repetitive IT activities while applying appropriate security, access, validation, and governance controls.
- Design scalable enterprise workflows that combine AI assistance with engineering judgement, operational controls, and human approval.
Tools covered
Who should attend
- Cloud Engineers
- DevOps Engineers
- Platform Engineers
- Cloud Architects
- Solution Architects
- Site Reliability Engineers
- IT Operations Professionals
- System Administrators
- Infrastructure Engineers
- Application Support Engineers
- Software & Cloud Engineers
- Cloud Security Engineers
- Technical Leads
- IT Infrastructure & Operations Managers
Prerequisites & Participant Readiness
- Working knowledge of AWS cloud concepts and services
- Familiarity with applications, APIs, infrastructure, networking, and security concepts
- Basic experience with scripting, programming, or command-line environments
- Familiarity with Git and software-development workflows is beneficial
- Understanding of IAM and cloud operational practices is recommended
- Previous Amazon Q Developer training is not required
TOC Modules
- Understanding Amazon Q Developer across development, cloud operations, troubleshooting, and AWS guidance
- Understanding Amazon Bedrock foundations, permissions, enterprise access, and contextual assistance
- Mapping Amazon Q capabilities across application, platform, infrastructure, operations, and support teams
- Configuring Amazon Q Developer across selected AWS and development environments
- Designing an enterprise Amazon Q adoption map for IT workflows
Scenarios
Enterprise Application from Requirement to Production
Participants use Amazon Q Developer across the complete application lifecycle to design and implement an AWS-based solution while applying testing, security, infrastructure, documentation, and operational controls.
Cloud Incident to Automated Operational Improvement
Participants investigate a complex AWS incident using Amazon Q Developer, identify the technical cause, implement a controlled remediation, and convert lessons learned into a reusable operational workflow.
*Current Amazon Q Developer capabilities reflected in this curriculum include agentic coding, workspace context, automated documentation, testing, code review, security scanning, deployment-ready IaC, AWS resource and cost guidance, operational troubleshooting, VPC Reachability Analyzer integration, application transformation, CLI workflows, and MCP integration.*
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