A map for Machine Learning on AWS (December 2019 edition)

About a year ago, I published maps for Machine Learning on AWS, which turned out to be extremely popular. Thanks for the vote of confidence!

AWS re:Invent 2019 is over, and as it brought us quite a few services and features, it was time for me to update them thoroughly.

As before, you’ll find the latest XMind and high-resolution PNG versions on Gitlab: https://github.com/juliensimon/awsmlmap.

Enjoy, and please let me know if I forgot anything.

Illustration for A map for Machine Learning on AWS (December 2019 edition)

Step 2 screenshot from a Map for Machine Learning on AWS December 2019 Edition

About the Author

Julien Simon is the Chief Evangelist at Arcee AI , specializing in Small Language Models and enterprise AI solutions. Recognized as the #1 AI Evangelist globally by AI Magazine in 2021, he brings over 30 years of technology leadership experience to his role.

With 650+ speaking engagements worldwide and 350+ technical blog posts, Julien is a leading voice in practical AI implementation, cost-effective AI solutions, and the democratization of artificial intelligence. His expertise spans open-source AI, Small Language Models, enterprise AI strategy, and edge computing optimization.

Previously serving as Principal Evangelist at AWS and Chief Evangelist at Hugging Face, Julien has authored books on Amazon SageMaker and contributed to the open-source AI ecosystem. His mission is to make AI accessible, understandable, and controllable for everyone.