AWS AI LaunchPad
Jedi Hill Atlas · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
AI LaunchPad is a structured professional service designed to help organizations adopt and operationalize AI on AWS by delivering a working AI application within a fixed four-week engagement. The service focuses on building and deploying a Minimum Viable Product (MVP) directly in the customer’s AWS environment, enabling immediate business use and validating real-world AI outcomes.
The engagement begins with a discovery phase to define a single high-impact use case, assess available data, and design a scalable AWS-based architecture. During the build phase, Jedi Hill implements the AI pipeline and application backend using AWS-native services. This includes integrating generative AI capabilities through Amazon Bedrock, developing serverless application logic using AWS Lambda and API Gateway, and managing data using Amazon S3 and retrieval services such as Amazon OpenSearch or Amazon Kendra. The solution is deployed following AWS Well-Architected best practices.
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The refine phase focuses on testing, prompt optimization, and performance tuning to ensure the AI application meets business requirements. In the final launch phase, the solution is deployed into the customer’s AWS account, validated, and handed over with documentation and knowledge transfer.
AI LaunchPad directly supports AWS Cloud adoption by transforming early-stage AI ideas into deployed, production-ready workloads. It drives usage of AWS AI and serverless services and establishes a scalable foundation for future expansion, including generative AI applications, data platforms, and cloud-native modernization initiatives.
The service is particularly suited for small and medium businesses seeking a low-risk, time-bound approach to adopting AI on AWS. By delivering a working application rather than conceptual outputs, AI LaunchPad reduces uncertainty and accelerates decision-making for further AWS investment.
Highlights
Highlighted by the publisher on AWS Marketplace.
Build and deploy a working AI MVP on AWS within 4 weeks using services such as Amazon Bedrock, Lambda, API Gateway, and S3.
Directly enables AWS AI adoption by delivering production-ready applications in the customer’s AWS environment, not just concepts or prototypes.
Fixed-scope engagement with clearly defined deliverables, reducing risk and accelerating time-to-value for AI initiatives on AWS.
Agent build and provenance
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