GenAI Innovation Workshop – RAG Your Own Data
CloudZone · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Key Benefits
- End-to-End GenAI Enablement: From prompt engineering to secure knowledge base creation and Bedrock agents, we cover everything you need to start building.
- Live RAG Implementation: Apply Retrieval-Augmented Generation techniques on your own datasets in a secure environment.
- Multi-Disciplinary Guidance: Delivered by cloud architects and AI specialists with a focus on operationalizing GenAI at scale.
- Frameworks & Toolkits: Includes modular templates for deploying on Amazon Bedrock, Amazon OpenSearch, and other native AWS services.
- Security & Compliance Focus: Adheres to AWS security best practices, including isolation, encryption, and IAM policies.
Show the rest of the publisher’s description (14 more lines)
Workshop models
- Introduction to GenAI & RAG - Understand foundational concepts, business applications, and AWS GenAI stack.
- Data Preparation & Indexing - Identify and transform internal documents and data sources for optimal ingestion.
- Building RAG Pipelines - Connect FMs with enterprise knowledge via embeddings, vector databases, and Bedrock.
- Prompt Engineering & Evaluation - Learn techniques to fine-tune prompts for accuracy, safety, and relevance.
- Deploying Agents on Amazon Bedrock - Create interactive agents powered by custom instructions, knowledge bases, and actions.
- Roadmap & Governance Planning - Establish next steps, PoC plans, and organization-specific guardrails.
Ideal For:
- Organizations of all sizes looking to explore or accelerate their use of Generative AI
- Teams managing large volumes of documents, content, or internal knowledge
- Product leaders, architects, and developers aiming to embed AI-powered features
- Public sector bodies and regulated industries seeking secure, responsible AI adoption
- Business and innovation units interested in practical, hands-on GenAI applications
- Anyone seeking to deepen their understanding of modern AI capabilities
Highlights
Highlighted by the publisher on AWS Marketplace.
Facilitated by CloudZone’s senior solution architects and GenAI specialists Designed for multiple teams – encourages collaboration across business and technical stakeholders
Available as a one-day onsite session or two half-day virtual workshops
Includes full documentation, prompt templates, architecture samples, and an optional PoC support package
Agent build and provenance
See the full provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

