Explore training based on your role
ML specialist
Deep-dive content for ML experts to build, train, deploy, and customize large language models (LLMs) and foundation models (FMs) on AWS.
New to AI
For those seeking a beginner-friendly introduction to the topic of artificial intelligence (AI) including its fundamental concepts, applications, and potential impact.
Organizational leader
For leaders making strategic business decisions and steering their organization’s future. Find resources to understand how the technology can benefit your organization and how you can quickly upskill your workforce to bridge the skills gap.
Developer
For coding experts seeking to integrate the latest AI innovations into their workflows and toolbox.
AI for ML specialists
Explore digital courses to get started on your AI learning journey
ML Engineer Associate Learning Plan
The “ML Engineer Associate Learning Plan” equips you with the skills to implement and operationalize ML workloads, covering data processing, model development, deployment strategies on AWS, and monitoring techniques.
Building Language Models on AWS
The " Building Language Model on AWS " course teaches experienced data scientists how to build, train, deploy, and customize large language models (LLMs) and foundation models (FMs) for generative AI tasks using Amazon SageMaker's advanced capabilities.
Optimizing Foundation Models
The "Optimizing Foundation Models" course delves into enhancing FMs' performance through Retrieval Augmented Generation (RAG) and fine-tuning, covering AWS services for vector databases, agents in multistep tasks, fine-tuning methods, data preparation, and related topics.
Amazon SageMaker Studio for Data Scientists
The "Amazon SageMaker Studio for Data Scientists" advanced three-day course equips experienced data scientists to boost productivity across the ML lifecycle using the SageMaker Studio managed infrastructure, tools, and optimized workflows. Learn how to significantly reduce training time and culminate the course with a hands-on tabular data ML project.
Learn by doing
ML certifications
Amazon SageMaker resources
