{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "amitshekhariitbhu-ai-engineering-course--plan-llm-engineer-learning-path",
 "repo": "amitshekhariitbhu/ai-engineering-course",
 "repo_url": "https://github.com/amitshekhariitbhu/ai-engineering-course",
 "repo_slug": "amitshekhariitbhu-ai-engineering-course",
 "title": "Map a step-by-step learning path into AI engineering",
 "page_title": "How to map a step-by-step learning path into AI engineering with AI Engineering Course",
 "summary": "Turn the 18-module course into a dated reading plan you can follow in order.",
 "who": "A software engineer who wants to move into AI engineering and does not know which topics to study first.",
 "problem": "The field covers many topics, and it is hard to tell what to learn before what.",
 "outcome": "A written plan that lists each module in the README order, with the lessons to read in each one.",
 "steps": [
  "Open https://github.com/amitshekhariitbhu/ai-engineering-course and read the Table of Contents.",
  "Read the 'How to Use This AI Engineering Course' section and note the rule to follow modules in order.",
  "Read the 'Curriculum at a Glance' table and record the lesson count for each module.",
  "Write a plan that schedules Module 0 and Module 1 first, then the remaining modules in sequence.",
  "Mark the modules that match your goal, such as RAG (Module 9) or inference (Module 12), and add them to the plan."
 ],
 "agent_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.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "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.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "markdown",
 "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"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/amitshekhariitbhu-ai-engineering-course/plan-llm-engineer-learning-path/",
 "md": "https://dedupedai.com/use-cases/amitshekhariitbhu-ai-engineering-course/plan-llm-engineer-learning-path/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/amitshekhariitbhu-ai-engineering-course--plan-llm-engineer-learning-path.json",
 "api_version": "v1"
}