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Advance your large language model (LLM) journey with these AWS resources, curated to accelerate innovation, optimize processes, and bring your generative AI projects to market sooner.

Advance your large language model (LLM) journey with these AWS resources, curated to accelerate innovation, optimize processes, and bring your generative AI projects to market sooner.
Enrich your skill set and knowledge
with AWS Skill Builder courses for
LLM development. Available online
and on-demand.
Learn more >
Amazon Q - Generative AI- powered Assistant Learning Plan
Dive into Amazon Q and the tactics for integrating this generative AI-powered assistant into your applications. Over four courses, this learning path teaches you to deliver better user experiences and more efficient workflows.
Building Language Models on AWS
Explore the challenges of developing LLMs and the storage, ingestion, and training options for processing a large text corpus. This course engages with the barriers to deploying large models and customizing them for generative AI tasks with Amazon SageMaker Jumpstart.

Gan.AI faced challenges in creating personalized videos at scale, needing to produce thousands of unique videos quickly while maintaining low latency. By leveraging AWS services like Amazon SageMaker and AWS Lambda, the startup now generates over 1M personalized videos in just 3 hours.

Build, train, and deploy models at scale with Amazon SageMaker's high-performance, low-cost machine learning (ML)

The fastest way to transform ideas into modern, serverless applications.

Streamline how you build, manage and deploy containerized applications.

Facing rising costs as you scale? Optimize AWS usage to get the most value for spend.

Offset your AWS bill with up to $100,000 toward building and scaling your business.
Growing your AI brand? AWS is here to help. Reach out to discuss how our enterprise solutions can improve scaling and performance while reducing spend.
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