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How to map a step-by-step learning path into AI engineering with AI Engineering Course

Turn the 18-module course into a dated reading plan you can follow in order.

  • Top pick
  • Research
  • Beginner
  • 15 minutes
  • From the README
  • Any agent

Who it is forA software engineer who wants to move into AI engineering and does not know which topics to study first.

The problemThe field covers many topics, and it is hard to tell what to learn before what.

The outcomeA written plan that lists each module in the README order, with the lessons to read in each one.

What you need first

  • A web browser to open the GitHub repo and read the lessons
  • Basic programming knowledge, preferably Python, for the code examples
  • Time to read lessons in order, module by module

Steps

  1. Open https://github.com/amitshekhariitbhu/ai-engineering-course and read the Table of Contents.
  2. Read the 'How to Use This AI Engineering Course' section and note the rule to follow modules in order.
  3. Read the 'Curriculum at a Glance' table and record the lesson count for each module.
  4. Write a plan that schedules Module 0 and Module 1 first, then the remaining modules in sequence.
  5. Mark the modules that match your goal, such as RAG (Module 9) or inference (Module 12), and add them to the plan.

Prompt for your agent

Using the README of the repo amitshekhariitbhu/ai-engineering-course, build a module-by-module study plan for <target role>. Output a numbered list of modules in the README order with the lesson count for each, and check that Module 1 and Module 2 appear before any later module.

Caveat. The course is a set of blog-style lessons in the README, so the plan depends on reading those lessons and does not install or run any code from the repo.

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