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What you can do with AI Engineering Course

A free, step-by-step AI Engineering course in Markdown, with 18 modules and 146+ lessons from machine learning basics through LLMs, RAG, agents, inference, evaluation, safety, and system design.

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amitshekhariitbhu/ai-engineering-course on GitHub

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What do you want to do?

4 use cases

  • Map a step-by-step learning path into AI engineering

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

    View prompt
    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.

  • Prepare for AI engineer interviews with course material

    Use the interview module, glossary, and FAQs to drill core AI engineering terms.

    View prompt
    Read the README of amitshekhariitbhu/ai-engineering-course, take the terms in the Key Concepts Glossary, and create a quiz of 10 questions for <target role>. Output each question with the module it comes from, and verify that every answer points to a section that exists in the README.

  • Compare LLM serving tools before picking one

    Use the inference module to compare the serving tools the README names.

    View prompt
    From the README of amitshekhariitbhu/ai-engineering-course, extract the inference topics in Module 12 and the tools it names, then build a table for <target workload>. Output the table with topic, tool, and the lesson name, and verify that every tool appears in the README text.

  • Design a RAG pipeline from the retrieval lessons

    Use the RAG module to list the retrieval options before you build a pipeline.

    View prompt
    Read Module 9 in the README of amitshekhariitbhu/ai-engineering-course and draft a RAG design note for <target document set>. Output a list of chosen retrieval components with the matching lesson names, and verify that each component appears in the Module 9 topic list.

How to use AI Engineering Course

  1. Check you have what it needs: 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.
  2. Open amitshekhariitbhu/ai-engineering-course on GitHub and read the README and license.
  3. Open https://github.com/amitshekhariitbhu/ai-engineering-course and read the Table of Contents.
  4. Read the 'How to Use This AI Engineering Course' section and note the rule to follow modules in order.
  5. Read the 'Curriculum at a Glance' table and record the lesson count for each module.
  6. Write a plan that schedules Module 0 and Module 1 first, then the remaining modules in sequence.

These steps come from our top use case, Map a step-by-step learning path into AI engineering, which also has a copy-paste agent prompt.

AI Engineering Course alternatives · Best AI repos for Research

About this repo

Requirements

  • 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
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Questions about AI Engineering Course

What is AI Engineering Course?

A free, step-by-step AI Engineering course in Markdown, with 18 modules and 146+ lessons from machine learning basics through LLMs, RAG, agents, inference, evaluation, safety, and system design. It is an open-source project on GitHub: https://github.com/amitshekhariitbhu/ai-engineering-course.

Who is AI Engineering Course for?

Software engineers and ML practitioners who want a structured path into building LLM applications and need a clear order to study the topics.

What can I do with AI Engineering Course?

4 use cases so far, for example: Map a step-by-step learning path into AI engineering; Prepare for AI engineer interviews with course material; Compare LLM serving tools before picking one. Each has steps and a copy-paste agent prompt.

What do I need to run AI Engineering Course?

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.

What are alternatives to AI Engineering Course?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI System Design.

Is AI Engineering Course safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.