AWS Training—always flexible, always on demand

Flexibility to learn your way

Whether you’re exploring new ideas or sharpening your cloud skills, AWS Training can help you reach your goals faster. Learn at your own pace with hundreds of free on-demand courses and progress from foundational to intermediate- and advanced-level training. For hands-on learning, register for virtual instructor-led classroom training and get on-the-spot practical help.

Advance your career

The supply of IT professionals with the right cloud skills is not keeping pace with demand. Investing your time in cloud education now can help you take advantage of this opportunity. Acquire in-demand cloud expertise to give yourself a competitive advantage and grow your career.

Build AWS Cloud skills for success

  • Digital Training

    Choose from 500+ free, on-demand digital courses to build your AWS Cloud knowledge and skills. Our portfolio covers AWS services and solutions, from machine learning, to networking, security and more - designed for all skill levels.

  • Public Training Events

    Join AWS experts at both virtual and on-demand events. Connect and collaborate with your peers in the AWS Cloud community. Gain new skills and discover how to leverage AWS products and solutions.

  • Digital Training Partners

    Find AWS self-paced courses covering a range of topics from AWS Cloud fundamentals to machine learning at top online learning platforms including Coursera, edX, Trailhead and Udacity.

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AWS Power Hour: Architecting

Join us for our fun, free, and interactive Twitch series, AWS Power Hour: Architecting, to learn the essential information you need to build your future in the AWS Cloud. Whether you simply want to better understand architecting or you’re participating in the Get AWS Certified: Solutions Architect Challenge, our hosts will guide you through the content with demonstrations and real-world examples.

Interactive cloud learning with Twitch


Build AWS Cloud skills for success

  • AWS Cloud Practitioner Essentials

    Foundational | 6 hours

    In this self-paced digital course, you’ll gain an overall understanding of AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.

  • Introduction to Amazon Elastic Compute Cloud

    Foundational | 10 minutes

    This is an introduction to Amazon Elastic Compute Cloud (Amazon EC2), a web service that provides secure, resizable compute capacity in the cloud. In this course, we provide an overview of the service and demonstrate how to build and configure an Amazon EC2 instance.

  • AWS Security Fundamentals (Second Edition)

    Foundational | 2 hours

    Learn fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. This self-paced course will address your security responsibility in the AWS cloud and the different security- oriented services available.

Choose your learning path

Learning paths are the progressions of courses and exams we recommend you follow to help advance your skills or prepare you to use the AWS Cloud.

  • Cloud Practitioner

    This learning path is intended for individuals who are looking to learn cloud fundamentals and best practices.

  • Architect

    This learning path is designed for solutions architects, solution design engineers, and anyone who wants to learn how to design highly available systems on AWS.

  • DevOps Engineer

    This learning path is designed for individuals who want to learn how to use the most common DevOps patterns to design, deploy and manage AWS Cloud systems.

  • All Learning Paths

    Explore our learning paths grouped by role, solutions area, or your APN Partner needs.

Explore AWS Partner options

  • AWS PartnerCast

    This weekly series of free interactive webinars explores how AWS products and services can help AWS Partners in business and technical roles create new client opportunities, build professional relationships, and develop AWS Cloud skills.

  • Partner Learning Guide

    Download this guide for information on online training and certification resources designed for AWS Partners. You can build your AWS Cloud skills using our free, self-paced digital courses and virtual classroom training, all created by AWS experts.

  • Online Learning for AWS Partners

    Browse virtual and digital offerings to support your AWS Partner training, certification, and accreditation goals.

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Sign up to get replays delivered to your inbox after the episodes air, plus links to resources from each episode.


Explore all of our on-demand shows to see what’s coming up live, and to find on-demand episodes from past series for AWS Training and Certification.

Episode 1: Machine Learning for Startup Developers 101

Welcome to “Let’s Ship It – with AWS! ML Edition”! In our first episode, we’ll explore machine learning (ML) concepts: what is ML, which problems you can solve with ML, and different model types. By the end of this episode, you’ll be able to identify common use cases for ML for startups that you can pick up—even with limited resources, data, and no ML background.

Instructor: Aaron Hunter, Fred Graichen

Episode 2: Phases of ML Workflows and Tooling

In machine learning (ML), you "teach" a computer to make predictions, or inferences, through a step-by-step process. In this episode, you’ll explore phases of ML workflows and best practices for startups. You’ll learn steps to have a working ML solution: from problem framing and data preparation to training and deployment. We’ll also cover what tooling can make this process efficient.

Instructor: Aaron Hunter, Fred Graichen

Episode 3: How to Perform Sentiment Analysis on Customer Feedback

At a startup, reacting quickly to customer feedback is critical. How do you gather insights from large amounts of data as you keep growing your customer base? You’ll be fine-tuning a pre-trained model using Amazon SageMaker and the Amazon Reviews Polarity dataset, which consists of around 35 million reviews from Amazon, and classify the reviews into either positive or negative feedback.

Instructor: Aaron Hunter, Fred Graichen

Episode 4: Give Personalized Recommendations

Join us as we stream LIVE from Las Vegas during our re:MARS event! Did you know that personalization can reduce customer acquisition costs by as much as 50 percent and lift revenues by 5 to 15 percent (McKinsey Research)? In this episode, we explore how you can use personalization to lower your startup’s customer acquisition costs. We use an example of an online retailer that sells unique all-occasion gifts to show you how you can build great recommendation systems that learn from past data and predict interests to offer your customers tailored experiences.

Instructor: Aaron Hunter, Fred Graichen

Episode 5: Generating Value from Understanding the Visual World

From e-Commerce to Health Care, startups are increasingly building applications that are enhanced with predictions from computer vision models. Computer vision is a sub-field of machine learning on how computers see and understand the world visually. In this episode you will learn how to build a model that makes predictions from visuals, using the example of computer vision for medical imaging: your model will be able to predict if an image of cells contains cancer cells.

Instructor: Aaron Hunter, Fred Graichen

Episode 6: Predicting Customer Churn

For startups it’s crucial to get to market early with a minimum viable product and iterate on it as you gather feedback. For this reason, reducing churn - the number of customers that a business is losing - is one of the most important goals of startups looking for hypergrowth. In this episode, you’ll learn how you can use machine learning to automatically identify unhappy customers and to evaluate incentive optimization strategies to retain revenue. We use an example of churn that is familiar to all of us: leaving a mobile phone operator.

Instructor: Aaron Hunter, Fred Graichen

Episode 7: Accelerate Your Growth

In a highly startup competitive market, the most efficient growth strategies can be the key difference to achieve unicorn status. Whether it's e-mail, mail, or phone, we want to only target prospective customers that are likely to engage with a specific offer to keep customer acquisition costs low. In this episode, we’ll build a machine learning (ML) model to predict whether a customer will make a buying decision based on readily available information using Amazon SageMaker Autopilot - an AutoML capability to select the best ML model without writing a line of code.

Instructor: Aaron Hunter, Fred Graichen

Episode 8: Startup ML Best Practices and Next Steps + Guest Speaker Expert Q&A

Get your questions answered in this Q&A session with a surprise guest speaker in the machine learning (ML) space for our last episode. You’ll learn more about best practices for ML, common challenges across startups, trend predictions and what you can do next in your ML journey.

Instructor: Aaron Hunter, Fred Graichen, Special Guest (TBA)