The Build section is dedicated to hands-on technical application and provides the following tools:
- Curated Workshops: Structured tutorials created by AWS engineers, searchable by service (e.g., S3, Lambda), category (e.g., Machine Learning), and technical depth (levels 100-400).
- Technical Toolbox: A centralized repository for Software Development Kits (SDKs), programming language resources, and open-source project frameworks.
- AI Playgrounds: Sandbox environments for experimenting with generative and agentic AI services without the need for complex local infrastructure setup.
- Free Tier Integration: Clear pathways to access AWS services within established free-usage limits.
The Connect module facilitates collaboration through established community programs:
- Expert Engagement: Access to insights and content from AWS Heroes and Community Builders.
- Local Networking: Directories for AWS User Groups, facilitating regional professional connections.
- AWS Cloud Clubs: Targeted specifically at the student demographic, these groups offer peer-led learning, mentorship, AWS credits, and certification vouchers. Example: UTD AWS Cloud Club.
The Learn section organizes training resources by technical topic and trending industry developments. By categorizing content according to proficiency levels, the platform ensures that users can select educational paths that align precisely with their current expertise and academic goals.
The Wishlist feature establishes a direct feedback loop between the community and AWS service teams. Users may submit feature requests and product suggestions, which are then subject to community voting. High-demand suggestions are prioritized for review by product development teams, allowing faculty, staff, and students to influence the trajectory of AWS service evolution.
The platform utilizes the AWS Builder ID to create a persistent professional identity. Key features include:
- Professional Portfolio: A unique URL and shareable QR code designed for inclusion on CVs or professional networking platforms.
- Contribution Tracking: A consolidated history of technical posts, community interactions, and submitted feature requests.
- Skill Mapping: The ability to highlight specific areas of expertise to receive tailored content recommendations.