What changed

At AWS re:Invent 2026, which runs from November 30th to December 4th, the AI/ML (AIM) track will include over 140 unique sessions. These sessions are designed to help attendees at all skill levels understand and apply AWS AI technologies. The event will provide a variety of learning formats, including keynotes, interactive workshops, and live coding sessions.

What this means in practice

Attendees can choose from multiple session types, such as breakouts, chalk talks, builder sessions, workshops, and code talks. Breakout sessions are recorded and available on the AWS Events YouTube channel, while other sessions are live and interactive. The AIM track covers the full AWS AI stack, from infrastructure and AI chips to model training, inference, and agent development. Sessions are organized to start with beginner-friendly content and progress to technical deep dives. Newcomers can begin with AIM204, which provides an overview of the entire stack, while experienced builders can explore advanced topics like AIM443, which focuses on training pipelines using Amazon SageMaker HyperPod.

Limitations and availability

The sessions are available both in-person and on-demand, allowing remote participation. The AI stack overview includes AWS Trainium and NVIDIA GPUs for AI workloads, with sessions detailing how to use these chips for training and inference. While the full range of sessions is available, the supplied announcement does not specify exact dates for on-demand availability or the number of sessions available for each topic. The AI-focused sessions span the entire stack, from infrastructure to agentic solutions, with additional topics like sustainability and infrastructure also covered.

Source facts for AWS re:Invent 2026 AI/ML Track Expands with Over 140 Sessions: Even if you can’t join in person, you can catch up with many of the sessions on demand and even watch the keynotes live. Chalk-talk sessions: Attendees interact with presenters, asking questions, and using a whiteboard in session. Builder sessions: Attendees participate in a one-hour session and build something.
Original AINewsTrend explainer based on the cited source. This graphic summarizes source statements; it is not an independent benchmark.

Sources and further reading

  1. awsml: The attendee’s guide to the AWS re:Invent 2026 AI/ML track