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AWS AI Analytics

In this course you learn to leverage Bedrock, Sagemaker, and other AI Services to build robust analytics workflows. Key topics include Rust, Foundation Models, and AI Engineering in the cloud.

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3 weeks, 44 lessons total which includes hands-on labs, quizzes, and a certification.

Learn from top university instructors

The curated content for the bootcamp is based on the same material we use at top universities like Duke University, Northwestern, and UC Davis.

Practical and hands on

The material and content goes beyond the basic theory and is meant for you to practice, enhancing your learning.

Get access to high-quality, curated content

All exercises, readings, examples, and video content is of extremely high quality and you will get access to all of it in this bootcamp.

Join half a million learners

We've specialized in teaching based on our vast experience in tech. Be part of half a million learners who have used our courses!

Syllabus

This course is packed with useful content, curated from our experience working with top-tier universities and learners all around the world. Get certified at the end of this course with a shareable digital badge.

Week 1

  • Key terms
  • Analytics with AI overview
  • Lab
  • Key terms
  • Bedrock RUST Analytics demo
  • Lab
  • Key terms
  • Intelligent code transform pipeline
  • Code instrumentation pipeline Genai AWS

Week 2

  • Key terms
  • Rust python lambda benchmark with Claude Analytics demo
  • Lab
  • Key terms
  • Energy efficiency AI Analytics Workloads
  • Lab
  • Key terms
  • Amazon q code catalyst dev environments
  • Q translate Analytics Workflows python CLI demo

Week 3

  • Key terms
  • Lab
  • Quiz

Custom training for your company

We are ready to deliver this and other training to your group. We can usually accommodate different requirements and are flexible with the number of seats. Reach out to us at contact@paiml.com

  • Bulk pricing available
  • Customizable content
  • Ready to start on your schedule