Revolutionize Your Business with Generative AI on AWS
Learn how to build secure, production-grade Generative AI applications using the AWS Gen AI stack—featuring Amazon Bedrock, SageMaker, and advanced techniques like prompt engineering and RAG
About us
We are passionate about the public cloud as well as the DevOps culture and practices!
We believe that the cloud is the new normal and we assist businesses to adopt the public cloud and DevOps practices.
Why?
Generative AI represents one of the most transformative technologies in modern business. From personalized customer experiences to operational efficiency, the possibilities are vast—but the path to scalable, secure, and impactful adoption isn't always clear. AWS has built an extensive stack of services to support Gen AI development, training, deployment, and integration.
This whitepaper helps you understand how to use these tools to your advantage, from initial model selection to enterprise-scale deployment with security, governance, and business alignment.
Download the whitepaper: Revolutionize Your Business with Generative AI on AWS
This comprehensive whitepaper explores the evolution, architecture, and enterprise-grade applications of Generative AI, with a deep focus on how to leverage AWS tools to power your transformation. Designed for technical leaders, AI practitioners, and innovation teams, it guides you through the foundational concepts of Generative AI and how they intersect with modern cloud-native architectures.
From building intelligent applications that generate text, images, and code, to enhancing existing systems with AI-powered capabilities, this guide covers everything you need to lead successful AI initiatives. You’ll discover how services like Amazon Bedrock, SageMaker, and custom foundation models can be orchestrated to create scalable, secure, and production-ready solutions.
Featuring architecture diagrams, integration patterns, and real-world case studies, this whitepaper will help you accelerate innovation, unlock operational efficiencies, and deliver more personalized, value-driven experiences using Generative AI on AWS.
What You’ll Learn
• The evolution of Generative AI: from GANs and VAEs to foundation models and LLMs
• Overview of AWS’s three-layer Gen AI stack and where each service fits
• How to build and deploy applications using Amazon Bedrock and SageMaker
• Prompt Engineering and Retrieval-Augmented Generation (RAG) best practices
• How organizations like Ferrari, Nasdaq, and Adidas are building with Gen AI
• Key security, monitoring, and responsible AI considerations
Key AWS Services Covered
Amazon Bedrock
Easily integrate foundation models from providers like Anthropic, Cohere, and MetaAmazon.
SageMaker
Train, fine-tune, and deploy custom models with enterprise-ready infrastructure.
Amazon Q
Build AI-powered copilots for customer service, BI, and internal use cases.
AWS Trainium & Inferentia
Optimized chips for fast, cost-effective ML training and inference.
AWS Lambda, S3, and API Gateway
Build scalable Gen AI pipelines with serverless architecture.
IAM, KMS, CloudTrail
Ensure security, data governance, and full traceability.
Ready to Transform Your Business with Generative AI on AWS?
Generative AI is more than a trend—it’s reshaping how companies build, compete, and grow. But without the right tools and architecture, it’s easy to get stuck in prototypes that never scale.
With AWS, you have access to the world’s most comprehensive set of services for building secure, production-grade Gen AI applications. And with this whitepaper, you’ll learn how to turn that technology into business value—fast.
Whether you’re building a customer-facing AI experience, streamlining operations with internal copilots, or exploring LLM fine-tuning at scale, this guide gives you the clarity and confidence to move forward.
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Ready to unlock more value from your cloud? Whether you're exploring a migration, optimizing costs, or building with AI—we're here to help. Book a free consultation with our team and let's find the right solution for your goals.