Overview
CloudKeeper’s GenAI PoC Accelerator is designed to help organizations rapidly explore, validate, and deploy Generative AI solutions on AWS with minimal risk and maximum clarity. Whether you're looking to prototype a use case using Amazon Bedrock, evaluate different foundational models, or understand how GenAI fits into your business workflows — we provide the architecture, guidance, and assets to get you there faster.
This structured engagement is delivered in three phases:
1. Discover
Collaborate with our AI specialists to identify a relevant, high-impact use case and align it with GenAI capabilities on AWS. Deliverables include:
- Business case validation and use case selection
- Training on GenAI fundamentals (Bedrock, SageMaker, Amazon Q)
- Readiness assessment for data, security, and governance
- Solution design and architecture planning
2. Build
Develop a working PoC tailored to your use case — using AWS-native services and aligned with Well-Architected principles. Deliverables include:
- Model selection and prompt engineering best practices
- Rapid development of a functional PoC environment
- Reusable templates and deployment scripts (IaC)
- Data integration and content generation workflows
3. Validate & Scale
Evaluate outcomes, refine the approach, and lay the foundation for production deployment. Deliverables include:
- Evaluation metrics and output analysis
- Recommendations for production readiness
- Documentation and scaling playbook
- Optional cost visibility using CloudKeeper FinOps tools
Why Choose CloudKeeper
- AWS Expertise: Deep experience across Bedrock, SageMaker, and Amazon Q
- Speed & Clarity: Structured approach to move from idea to impact within weeks
- Built-in FinOps: Optional optimization advisory to manage PoC and production costs
- Enterprise-Ready: Designed to plug into your AWS environment with security and compliance in mind
Highlights
- Fast-Track from Idea to Impact: Identify, design, and launch a tailored GenAI use case on AWS with expert support and pre-built accelerators.
- AWS-Native Implementation: Leverage services like Amazon Bedrock, SageMaker, and Amazon Q within your existing AWS environment.
- Optimized for Cost and Performance: Built-in FinOps advisory ensures your GenAI workloads stay efficient and budget-aligned.
Details
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