ML Specialist

Find curated training resources for data scientists and ML engineers

Learn AI on AWS

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.

three people at table meeting typing and looking at laptop

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.

Browse content

woman sitting at patio table with smart phone and tablet

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.

Browse content

Developer

For coding experts seeking to integrate the latest AI innovations into their workflows and toolbox.

Browse content

developer typing on laptop with code on two monitors

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

Discover practical training and hands-on labs to help you acquire the skills to tackle real-world challenges

Labs

Analyze and Prepare Data with Amazon SageMaker

Learn how to visualize, prepare data, and transform a dataset in Amazon SageMaker

Get started

Labs

Build a question-answering bot using Generative AI

Build a chatbot leveraging RAG for improved conversational AI.

Start Building

Labs

Train a model with Amazon SageMaker

Leverage Amazon SageMaker's built-in algorithms to configure and train a machine learning model

Get started

ML certifications

Boost your credibility and career profile with industry-recognized certifications from AWS. The AWS Certified Machine Learning Engineer - Associate validates skills in implementing and operationalizing ML workloads in production. Get started with digital training and game-based learning today.

Explore ML certifications

Amazon SageMaker resources

Amazon SageMaker helps data scientists and developers to quickly prepare, build, train, and deploy high-quality ML models by bringing together a broad set of capabilities purpose-built for ML. Browse resources and documentation to get started.

Explore resources